今日学术视野(2021.10.23)

cs.AI - 人工智能
cs.CG - 计算几何学
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.LO - 计算逻辑
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.PL - 编程语言
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
math.AG - 代数几何
math.FA - 泛函演算
math.NA - 数值分析
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
physics.app-ph - 应用物理
physics.med-ph - 医学物理学
quant-ph - 量子物理
stat.AP - 应用统计
stat.CO - 统计计算
stat.ME - 统计方法论
stat.ML - (统计)机器学习

• [cs.AI]A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act
• [cs.AI]Bootstrapping confidence in future safety based on past safe operation
• [cs.AI]Detecting Important Patterns Using Conceptual Relevance Interestingness Measure
• [cs.AI]Human-Centered Explainable AI (XAI): From Algorithms to User Experiences
• [cs.AI]LOA: Logical Optimal Actions for Text-based Interaction Games
• [cs.AI]Neuro-Symbolic Reinforcement Learning with First-Order Logic
• [cs.AI]Playing 2048 With Reinforcement Learning
• [cs.AI]R4: A Framework for Route Representation and Route Recommendation
• [cs.AI]Sampling from Arbitrary Functions via PSD Models
• [cs.AI]Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks
• [cs.AI]Towards Social Situation Awareness in Support Agents
• [cs.AI]Why Settle for Just One? Extending EL++ Ontology Embeddings with Many-to-Many Relationships
• [cs.AI]flip-hoisting: Exploiting Repeated Parameters in Discrete Probabilistic Programs
• [cs.CG]A unifying framework for -dimensional quasi-conformal mappings
• [cs.CL]A Self-Explainable Stylish Image Captioning Framework via Multi-References
• [cs.CL]A Systematic Review on the Detection of Fake News Articles
• [cs.CL]A non-hierarchical attention network with modality dropout for textual response generation in multimodal dialogue systems
• [cs.CL]An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C)
• [cs.CL]Asynchronous Decentralized Distributed Training of Acoustic Models
• [cs.CL]Better than Average: Paired Evaluation of NLP Systems
• [cs.CL]CNewSum: A Large-scale Chinese News Summarization Dataset with Human-annotated Adequacy and Deducibility Level
• [cs.CL]Continual Learning in Multilingual NMT via Language-Specific Embeddings
• [cs.CL]Contrastive Document Representation Learning with Graph Attention Networks
• [cs.CL]Discontinuous Grammar as a Foreign Language
• [cs.CL]Distributionally Robust Classifiers in Sentiment Analysis
• [cs.CL]Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer
• [cs.CL]GenNI: Human-AI Collaboration for Data-Backed Text Generation
• [cs.CL]Hierarchical Aspect-guided Explanation Generation for Explainable Recommendation
• [cs.CL]Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair Prediction
• [cs.CL]Improving Non-autoregressive Generation with Mixup Training
• [cs.CL]Integrating Visuospatial, Linguistic and Commonsense Structure into Story Visualization
• [cs.CL]Interpreting Deep Learning Models in Natural Language Processing: A Review
• [cs.CL]Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles
• [cs.CL]LMSOC: An Approach for Socially Sensitive Pretraining
• [cs.CL]Modeling Performance in Open-Domain Dialogue with PARADISE
• [cs.CL]Multilingual Unsupervised Neural Machine Translation with Denoising Adapters
• [cs.CL]Neural Medication Extraction: A Comparison of Recent Models in Supervised and Semi-supervised Learning Settings
• [cs.CL]News-based Business Sentiment and its Properties as an Economic Index
• [cs.CL]Overview of the 2021 Key Point Analysis Shared Task
• [cs.CL]Principled Representation Learning for Entity Alignment
• [cs.CL]RNet:Relation-embedded Representation Reconstruction Network for Change Captioning
• [cs.CL]SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark
• [cs.CL]SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training
• [cs.CL]SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation
• [cs.CL]SocialVisTUM: An Interactive Visualization Toolkit for Correlated Neural Topic Models on Social Media Opinion Mining
• [cs.CL]Topic-Guided Abstractive Multi-Document Summarization
• [cs.CL]n-stage Latent Dirichlet Allocation: A Novel Approach for LDA
• [cs.CR]Detecting Backdoor Attacks Against Point Cloud Classifiers
• [cs.CR]Fingerprint recognition with embedded presentation attacks detection: are we ready?
• [cs.CR]Physical Side-Channel Attacks on Embedded Neural Networks: A Survey
• [cs.CR]Privacy in Open Search: A Review of Challenges and Solutions
• [cs.CR]Steganography of Complex Networks
• [cs.CV]1st Place Solution for the UVO Challenge on Image-based Open-World Segmentation 2021
• [cs.CV]3D-ANAS v2: Grafting Transformer Module on Automatically Designed ConvNet for Hyperspectral Image Classification
• [cs.CV]3DFaceFill: An Analysis-By-Synthesis Approach to Face Completion
• [cs.CV]A Deep Insight into Measuring Face Image Utility with General and Face-specific Image Quality Metrics
• [cs.CV]A Domain Gap Aware Generative Adversarial Network for Multi-domain Image Translation
• [cs.CV]A Fast Location Algorithm for Very Sparse Point Clouds Based on Object Detection
• [cs.CV]A Learning Framework for Diffeomorphic Image Registration based on Quasi-conformal Geometry
• [cs.CV]A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning
• [cs.CV]ARTS: Eliminating Inconsistency between Text Detection and Recognition with Auto-Rectification Text Spotter
• [cs.CV]An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator
• [cs.CV]AniFormer: Data-driven 3D Animation with Transformer
• [cs.CV]Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
• [cs.CV]Augmenting Knowledge Distillation With Peer-To-Peer Mutual Learning For Model Compression
• [cs.CV]Cascaded Cross MLP-Mixer GANs for Cross-View Image Translation
• [cs.CV]Class-Discriminative CNN Compression
• [cs.CV]Closed-loop Feedback Registration for Consecutive Images of Moving Flexible Targets
• [cs.CV]CoFi: Coarse-to-Fine ICP for LiDAR Localization in an Efficient Long-lasting Point Cloud Map
• [cs.CV]Come Again? Re-Query in Referring Expression Comprehension
• [cs.CV]Constrained Mean Shift for Representation Learning
• [cs.CV]Contextual Gradient Scaling for Few-Shot Learning
• [cs.CV]Controllable and Compositional Generation with Latent-Space Energy-Based Models
• [cs.CV]Convex Joint Graph Matching and Clustering via Semidefinite Relaxations
• [cs.CV]Deep Curriculum Learning in Task Space for Multi-Class Based Mammography Diagnosis
• [cs.CV]Deep Image Matting with Flexible Guidance Input
• [cs.CV]Deep Point Cloud Normal Estimation via Triplet Learning
• [cs.CV]Depth360: Monocular Depth Estimation using Learnable Axisymmetric Camera Model for Spherical Camera Image
• [cs.CV]Detecting and Identifying Optical Signal Attacks on Autonomous Driving Systems
• [cs.CV]Detection of Driver Drowsiness by Calculating the Speed of Eye Blinking
• [cs.CV]Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias
• [cs.CV]Dynamic Multi-Person Mesh Recovery From Uncalibrated Multi-View Cameras
• [cs.CV]EBJR: Energy-Based Joint Reasoning for Adaptive Inference
• [cs.CV]Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing
• [cs.CV]Early- and in-season crop type mapping without current-year ground truth: generating labels from historical information via a topology-based approach
• [cs.CV]Event Guided Depth Sensing
• [cs.CV]Evolving Transferable Pruning Functions
• [cs.CV]Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation
• [cs.CV]Extraction of Positional Player Data from Broadcast Soccer Videos
• [cs.CV]Few-Shot Temporal Action Localization with Query Adaptive Transformer
• [cs.CV]Fine-Grained Control of Artistic Styles in Image Generation
• [cs.CV]GTM: Gray Temporal Model for Video Recognition
• [cs.CV]Generalized Out-of-Distribution Detection: A Survey
• [cs.CV]Generative Adversarial Graph Convolutional Networks for Human Action Synthesis
• [cs.CV]HALP: Hardware-Aware Latency Pruning
• [cs.CV]HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification
• [cs.CV]HENet: Forcing a Network to Think More for Font Recognition
• [cs.CV]Hand-Object Contact Prediction via Motion-Based Pseudo-Labeling and Guided Progressive Label Correction
• [cs.CV]Improving Model Generalization by Agreement of Learned Representations from Data Augmentation
• [cs.CV]Improving the Deployment of Recycling Classification through Efficient Hyper-Parameter Analysis
• [cs.CV]Inference Graphs for CNN Interpretation
• [cs.CV]LARNet: Latent Action Representation for Human Action Synthesis
• [cs.CV]LC3Net: Ladder context correlation complementary network for salient object detection
• [cs.CV]Learning 3D Semantic Segmentation with only 2D Image Supervision
• [cs.CV]Learning Equivariances and Partial Equivariances from Data
• [cs.CV]Look at What I’m Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos
• [cs.CV]MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation
• [cs.CV]MSO: Multi-Feature Space Joint Optimization Network for RGB-Infrared Person Re-Identification
• [cs.CV]Mixer-based lidar lane detection network and dataset for urban roads
• [cs.CV]Moiré Attack (MA): A New Potential Risk of Screen Photos
• [cs.CV]Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE
• [cs.CV]Multi-Category Mesh Reconstruction From Image Collections
• [cs.CV]Multi-Object Tracking and Segmentation with a Space-Time Memory Network
• [cs.CV]Multi-label Classification with Partial Annotations using Class-aware Selective Loss
• [cs.CV]Multimodal Learning using Optimal Transport for Sarcasm and Humor Detection
• [cs.CV]NOD: Taking a Closer Look at Detection under Extreme Low-Light Conditions with Night Object Detection Dataset
• [cs.CV]Noisy Annotation Refinement for Object Detection
• [cs.CV]On Coordinate Decoding for Keypoint Estimation Tasks
• [cs.CV]On the properties of some low-parameter models for color reproduction in terms of spectrum transformations and coverage of a color triangle
• [cs.CV]Pixel-Level Face Image Quality Assessment for Explainable Face Recognition
• [cs.CV]PlaneRecNet: Multi-Task Learning with Cross-Task Consistency for Piece-Wise Plane Detection and Reconstruction from a Single RGB Image
• [cs.CV]RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation
• [cs.CV]Reinforcement Learning Based Optimal Camera Placement for Depth Observation of Indoor Scenes
• [cs.CV]Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples
• [cs.CV]Robust Edge-Direct Visual Odometry based on CNN edge detection and Shi-Tomasi corner optimization
• [cs.CV]SLURP: Side Learning Uncertainty for Regression Problems
• [cs.CV]SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning
• [cs.CV]STALP: Style Transfer with Auxiliary Limited Pairing
• [cs.CV]Self-Supervised Monocular Scene Decomposition and Depth Estimation
• [cs.CV]Self-Supervision and Spatial-Sequential Attention Based Loss for Multi-Person Pose Estimation
• [cs.CV]Semi-supervised Domain Adaptation for Semantic Segmentation
• [cs.CV]Simpler Does It: Generating Semantic Labels with Objectness Guidance
• [cs.CV]Single-Modal Entropy based Active Learning for Visual Question Answering
• [cs.CV]Spatial Location Constraint Prototype Loss for Open Set Recognition
• [cs.CV]Style Agnostic 3D Reconstruction via Adversarial Style Transfer
• [cs.CV]StyleAlign: Analysis and Applications of Aligned StyleGAN Models
• [cs.CV]Super-resolution of multiphase materials by combining complementary 2D and 3D image data using generative adversarial networks
• [cs.CV]Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
• [cs.CV]Text-Based Person Search with Limited Data
• [cs.CV]The Effect of Wearing a Face Mask on Face Image Quality
• [cs.CV]Toward Accurate and Reliable Iris Segmentation Using Uncertainty Learning
• [cs.CV]Transfer beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation
• [cs.CV]Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation
• [cs.CV]Unified Style Transfer
• [cs.CV]Video Instance Segmentation by Instance Flow Assembly
• [cs.CV]Video and Text Matching with Conditioned Embeddings
• [cs.CV]Vis-TOP: Visual Transformer Overlay Processor
• [cs.CV]Weakly Supervised Training of Monocular 3D Object Detectors Using Wide Baseline Multi-view Traffic Camera Data
• [cs.CY]”Computer Says No”: Algorithmic Decision Support and Organisational Responsibility
• [cs.CY]Algorithmic Amplification of Politics on Twitter
• [cs.CY]Application of E-Commerce Technologies in accelerating the Success of SME Operation
• [cs.CY]Different Applications and Technologies of Internet of Things (IoT)
• [cs.CY]Ethics-Based Auditing of Automated Decision-Making Systems: Nature, Scope, and Limitations
• [cs.CY]Exploring the Relationship Between “Positive Risk Balance” and “Absence of Unreasonable Risk”
• [cs.DC]Accelerating quantum many-body configuration interaction with directives
• [cs.DC]Asynchronous parareal time discretization for partial differential equations
• [cs.DC]Blockchain-based Result Verification for Computation Offloading
• [cs.DC]Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments
• [cs.DC]Efficient Consensus-Free Weight Reassignment for Atomic Storage
• [cs.DC]Monitoring Collective Communication Among GPUs
• [cs.DC]OMB-Py: Python Micro-Benchmarks for Evaluating Performance of MPI Libraries on HPC Systems
• [cs.DC]Utilizing Redundancy in Cost Functions for Resilience in Distributed Optimization and Learning
• [cs.IR]A scale invariant ranking function for learning-to-rank: a real-world use case
• [cs.IR]Driving the Herd: Search Engines as Content Influencers
• [cs.IR]Learning to Recommend Using Non-Uniform Data
• [cs.IR]Locality-Sensitive Experience Replay for Online Recommendation
• [cs.IR]MultiHead MultiModal Deep Interest Recommendation Network
• [cs.IR]Personalized Transfer of User Preferences for Cross-domain Recommendation
• [cs.IR]PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion
• [cs.IR]RL4RS: A Real-World Benchmark for Reinforcement Learning based Recommender System
• [cs.IR]Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce
• [cs.IT]A Secretive Coded Caching for Shared Cache Systems using PDAs
• [cs.IT]Beamforming Design for Intelligent Reflecting Surface-Enhanced Symbiotic Radio Systems
• [cs.IT]Constructions and Applications of Perfect Difference Matrices and Perfect Difference Families
• [cs.IT]Decision Theoretic Cutoff and ROC Analysis for Bayesian Optimal Group Testing
• [cs.IT]Distributed Secret Sharing over a Public Channel from Correlated Random Variables
• [cs.IT]Estimation of Covariance Matrix of Interference for Secure Spatial Modulation against a Malicious Full-duplex Attacker
• [cs.IT]Index Coded - NOMA in Vehicular Ad Hoc Networks
• [cs.IT]Intelligent Reflecting Surface for Multi-Path Beam Routing with Active/Passive Beam Splitting and Combining
• [cs.IT]Joint Power Control, Channel Assignment and Cell Association in Heterogeneous Cellular Networks
• [cs.IT]Learning OFDM Waveforms with PAPR and ACLR Constraints
• [cs.IT]Pattern Division Random Access (PDRA) for M2M Communications with Massive MIMO Systems
• [cs.IT]Performance Analysis for Covert Communications Under Faster-than-Nyquist Signaling
• [cs.IT]Physical Layer Security in Relay Networks with Outdated Relay Selection
• [cs.IT]Scheduling Algorithms for Age of Information Differentiation with Random Arrivals
• [cs.IT]Statistical Physics Meets Wireless Communications: A Resource Allocation Solution for Large Networks
• [cs.LG]A Data-Centric Optimization Framework for Machine Learning
• [cs.LG]A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison
• [cs.LG]A Fine-Grained Analysis on Distribution Shift
• [cs.LG]A Real-Time Energy and Cost Efficient Vehicle Route Assignment Neural Recommender System
• [cs.LG]A Simple Approach to Continual Learning by Transferring Skill Parameters
• [cs.LG]A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays
• [cs.LG]A Utility Maximization Model of Pedestrian and Driver Interactions
• [cs.LG]A channel attention based MLP-Mixer network for motor imagery decoding with EEG
• [cs.LG]ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
• [cs.LG]Actor-critic is implicitly biased towards high entropy optimal policies
• [cs.LG]AdamD: Improved bias-correction in Adam
• [cs.LG]An Empirical Evaluation of Time-Series Feature Sets
• [cs.LG]An Empirical Study: Extensive Deep Temporal Point Process
• [cs.LG]Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation
• [cs.LG]Anti-Concentrated Confidence Bonuses for Scalable Exploration
• [cs.LG]Autonomous Dimension Reduction by Flattening Deformation of Data Manifold under an Intrinsic Deforming Field
• [cs.LG]Bayesian Meta-Learning Through Variational Gaussian Processes
• [cs.LG]Behavioral Experiments for Understanding Catastrophic Forgetting
• [cs.LG]CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization
• [cs.LG]CIM-PPO:Proximal Policy Optimization with Liu-Correntropy Induced Metric
• [cs.LG]CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
• [cs.LG]Can Q-learning solve Multi Armed Bantids?
• [cs.LG]Cascaded Compressed Sensing Networks: A Reversible Architecture for Layerwise Learning
• [cs.LG]Center Loss Regularization for Continual Learning
• [cs.LG]Class Incremental Online Streaming Learning
• [cs.LG]Color Teams for Machine Learning Development
• [cs.LG]Convergence Analysis and Implicit Regularization of Feedback Alignment for Deep Linear Networks
• [cs.LG]DAIR: Data Augmented Invariant Regularization
• [cs.LG]Deep Generative Models in Engineering Design: A Review
• [cs.LG]Deep Reinforcement Learning for Online Control of Stochastic Partial Differential Equations
• [cs.LG]Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching
• [cs.LG]Distributionally Robust Semi-Supervised Learning Over Graphs
• [cs.LG]Dual Encoding U-Net for Spatio-Temporal Domain Shift Frame Prediction
• [cs.LG]Dynamic Bottleneck for Robust Self-Supervised Exploration
• [cs.LG]Encoding spatiotemporal priors with VAEs for small-area estimation
• [cs.LG]Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
• [cs.LG]Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky’s Theorem
• [cs.LG]Fast Model Editing at Scale
• [cs.LG]FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion
• [cs.LG]Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins!
• [cs.LG]Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness
• [cs.LG]Hierarchical Skills for Efficient Exploration
• [cs.LG]High-resolution rainfall-runoff modeling using graph neural network
• [cs.LG]Independent Natural Policy Gradient Always Converges in Markov Potential Games
• [cs.LG]Interpretable Machine Learning for Resource Allocation with Application to Ventilator Triage
• [cs.LG]Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System
• [cs.LG]Is High Variance Unavoidable in RL? A Case Study in Continuous Control
• [cs.LG]Knowledge distillation from language model to acoustic model: a hierarchical multi-task learning approach
• [cs.LG]Layer-wise Adaptive Model Aggregation for Scalable Federated Learning
• [cs.LG]Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles
• [cs.LG]Learning Time-Varying Graphs from Online Data
• [cs.LG]Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting
• [cs.LG]Memory Efficient Adaptive Attention For Multiple Domain Learning
• [cs.LG]Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond
• [cs.LG]Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data?
• [cs.LG]Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment
• [cs.LG]More Efficient Exploration with Symbolic Priors on Action Sequence Equivalences
• [cs.LG]Multi-concept adversarial attacks
• [cs.LG]NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters
• [cs.LG]Neural Stochastic Partial Differential Equations
• [cs.LG]On Hard Episodes in Meta-Learning
• [cs.LG]On games and simulators as a platform for development of artificial intelligence for command and control
• [cs.LG]On some theoretical limitations of Generative Adversarial Networks
• [cs.LG]One-Shot Transfer Learning of Physics-Informed Neural Networks
• [cs.LG]One-Step Abductive Multi-Target Learning with Diverse Noisy Samples
• [cs.LG]OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis
• [cs.LG]PPFS: Predictive Permutation Feature Selection
• [cs.LG]Part-X: A Family of Stochastic Algorithms for Search-Based Test Generation with Probabilistic Guarantees
• [cs.LG]Principal Component Analysis versus Factor Analysis
• [cs.LG]Propensity-scored Probabilistic Label Trees
• [cs.LG]ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies
• [cs.LG]Quantum field theories, Markov random fields and machine learning
• [cs.LG]Ranking and Tuning Pre-trained Models: A New Paradigm of Exploiting Model Hubs
• [cs.LG]Reconstruction of Fragmented Trajectories of Collective Motion using Hadamard Deep Autoencoders
• [cs.LG]RoMA: a Method for Neural Network Robustness Measurement and Assessment
• [cs.LG]RoQNN: Noise-Aware Training for Robust Quantum Neural Networks
• [cs.LG]Robust Semi-Supervised Classification using GANs with Self-Organizing Maps
• [cs.LG]Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover
• [cs.LG]SEA: Graph Shell Attention in Graph Neural Networks
• [cs.LG]Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation
• [cs.LG]SecureBoost+ : A High Performance Gradient Boosting Tree Framework for Large Scale Vertical Federated Learning
• [cs.LG]Self-Supervised Visual Representation Learning Using Lightweight Architectures
• [cs.LG]Sensing Cox Processes via Posterior Sampling and Positive Bases
• [cs.LG]Shaking the foundations: delusions in sequence models for interaction and control
• [cs.LG]Sliced-Wasserstein Gradient Flows
• [cs.LG]Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences
• [cs.LG]Subspace Detours Meet Gromov-Wasserstein
• [cs.LG]Survival-oriented embeddings for improving accessibility to complex data structures
• [cs.LG]Test time Adaptation through Perturbation Robustness
• [cs.LG]The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding
• [cs.LG]Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation
• [cs.LG]Towards strong pruning for lottery tickets with non-zero biases
• [cs.LG]Transductive Robust Learning Guarantees
• [cs.LG]Transformer Acceleration with Dynamic Sparse Attention
• [cs.LG]User-Level Private Learning via Correlated Sampling
• [cs.LG]Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity
• [cs.LG]Variational Predictive Routing with Nested Subjective Timescales
• [cs.LG]Watermarking Graph Neural Networks based on Backdoor Attacks
• [cs.LG]What Averages Do Not Tell — Predicting Real Life Processes with Sequential Deep Learning
• [cs.LG]When in Doubt, Summon the Titans: Efficient Inference with Large Models
• [cs.LG]fairadapt: Causal Reasoning for Fair Data Pre-processing
• [cs.LO]Applying Second-Order Quantifier Elimination in Inspecting Gödel’s Ontological Proof
• [cs.NE]An Adaptive Sampling and Edge Detection Approach for Encoding Static Images for Spiking Neural Networks
• [cs.NE]Chaos inspired Particle Swarm Optimization with Levy Flight for Genome Sequence Assembly
• [cs.NE]Frontiers in Evolutionary Computation: A Workshop Report
• [cs.NE]Heritability in Morphological Robot Evolution
• [cs.NI]A Decentralized Framework for Serverless Edge Computing in the Internet of Things
• [cs.NI]Colosseum: Large-Scale Wireless Experimentation Through Hardware-in-the-Loop Network Emulation
• [cs.PL]Synthesizing Optimal Parallelism Placement and Reduction Strategies on Hierarchical Systems for Deep Learning
• [cs.RO]A Fast Planning Approach for 3D Short Trajectory with a Parallel Framework
• [cs.RO]A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction in Autonomous Driving
• [cs.RO]CobotAR: Interaction with Robots using Omnidirectionally Projected Image and DNN-based Gesture Recognition
• [cs.RO]Control of Humanoid in Multiple Fixed and Moving Unilateral Contacts
• [cs.RO]DVIO: Depth aided visual inertial odometry for RGBD sensors
• [cs.RO]Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information
• [cs.RO]Fuzzy-Depth Objects Grasping Based on FSG Algorithm and a Soft Robotic Hand
• [cs.RO]Hierarchical Multi-robot Strategies Synthesis and Optimization under Individual and Collaborative Temporal Logic Specifications
• [cs.RO]Incorporating Rich Social Interactions Into MDPs
• [cs.RO]InterpolationSLAM: A Novel Robust Visual SLAM System in Rotational Motion
• [cs.RO]Learning Robotic Manipulation Skills Using an Adaptive Force-Impedance Action Space
• [cs.RO]Motion Planning for Connected Automated Vehicles at Occluded Intersections With Infrastructure Sensors
• [cs.RO]Optimal Sequential Stochastic Deployment of Multiple Passenger Robots
• [cs.RO]Periodic DMP formulation for Quaternion Trajectories
• [cs.RO]Quadrotor Trajectory Tracking with Learned Dynamics: Joint Koopman-based Learning of System Models and Function Dictionaries
• [cs.RO]ReachBot: A Small Robot for Large Mobile Manipulation Tasks
• [cs.RO]Real-time Identification and Simultaneous Avoidance of Static and Dynamic Obstacles on Point Cloud for UAVs Navigation
• [cs.RO]Resilient Time-Varying Formation Tracking for Mobile Robot Networks under Deception Attacks on Positioning
• [cs.RO]Robust Control of a Multi-Axis Shape Memory Alloy-Driven Soft Manipulator
• [cs.RO]Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation
• [cs.RO]Semantic Sensing and Planning for Human-Robot Collaboration in Uncertain Environments
• [cs.RO]Stochastic Assignment for Deploying Multiple Marsupial Robots
• [cs.RO]StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects
• [cs.RO]WareVR: Virtual Reality Interface for Supervision of Autonomous Robotic System Aimed at Warehouse Stocktaking
• [cs.SD]An Investigation of Enhancing CTC Model for Triggered Attention-based Streaming ASR
• [cs.SD]Optimizing Multi-Taper Features for Deep Speaker Verification
• [cs.SD]Time-Domain Mapping Based Single-Channel Speech Separation With Hierarchical Constraint Training
• [cs.SE]DeLag: Detecting Latency Degradation Patterns in Service-based Systems
• [cs.SE]JavaBERT: Training a transformer-based model for the Java programming language
• [cs.SE]More Engineering, No Silos: Rethinking Processes and Interfaces in Collaboration between Interdisciplinary Teams for Machine Learning Projects
• [cs.SI]A Python Package to Detect Anti-Vaccine Users on Twitter
• [cs.SI]Adversarial Socialbot
8000
Learning via Multi-Agent Deep Hierarchical Reinforcement Learning
• [cs.SI]Multi-Stage Network Embedding for Exploring Heterogeneous Edges
• [cs.SI]Privacy-Aware Identity Cloning Detection based on Deep Forest
• [cs.SI]Temporal Motifs in Patent Opposition and Collaboration Networks
• [cs.SI]Using a market basket analysis in tourism studies
• [econ.EM]One Instrument to Rule Them All: The Bias and Coverage of Just-ID IV
• [eess.AS]REAL-M: Towards Speech Separation on Real Mixtures
• [eess.IV]2020 CATARACTS Semantic Segmentation Challenge
• [eess.IV]A New Automatic Change Detection Frame-work Based on Region Growing and Weighted Local Mutual Information: Analysis of Breast Tumor Response to Chemotherapy in Serial MR Images
• [eess.IV]AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation
• [eess.IV]CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images
• [eess.IV]Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs
• [eess.IV]Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes using Normalized Gradient Fields
• [eess.IV]Deep Learning for HDR Imaging: State-of-the-Art and Future Trends
• [eess.IV]Development and accuracy evaluation of Coded Phase-shift 3D scanner
• [eess.IV]Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural Networks
• [eess.IV]Evaluation of augmentation methods in classifying autism spectrum disorders from fMRI data with 3D convolutional neural networks
• [eess.IV]Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification
• [eess.IV]Medical Knowledge-Guided Deep Curriculum Learning for Elbow Fracture Diagnosis from X-Ray Images
• [eess.IV]OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data
• [eess.IV]Spectral Variability Augmented Sparse Unmixing of Hyperspectral Images
• [eess.IV]Toward Real-world Image Super-resolution via Hardware-based Adaptive Degradation Models
• [eess.IV]Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks
• [eess.SP]Ambiguities in Direction-of-Arrival Estimation with Linear Arrays
• [eess.SP]Improving Channel Charting using a Split Triplet Loss and an Inertial Regularizer
• [eess.SP]Patch Based Transformation for Minimum Variance Beamformer Image Approximation Using Delay and Sum Pipeline
• [eess.SY]Random-Fuzzy Dual Interpretation of Unknown Quantity for Estimation & Recognition: with Demonstration of IMM Filter
• [eess.SY]Transferring Reinforcement Learning for DC-DC Buck Converter Control via Duty Ratio Mapping: From Simulation to Implementation
• [math.AG]How arithmetic and geometry make error correcting codes better
• [math.FA]Generalized Bures-Wasserstein Geometry for Positive Definite Matrices
• [math.NA]Finite Volume Least-Squares Neural Network (FV-LSNN) Method for Scalar Nonlinear Hyperbolic Conservation Laws
• [math.OC]Computing Semilinear Sparse Models for Approximately Eventually Periodic Signals
• [math.OC]Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods
• [math.OC]Faster Algorithm and Sharper Analysis for Constrained Markov Decision Process
• [math.OC]Feedback Linearization of Car Dynamics for Racing via Reinforcement Learning
• [math.OC]Stochastic Learning Rate Optimization in the Stochastic Approximation and Online Learning Settings
• [math.OC]Theoretical Advances in Current Estimation and Navigation from a Glider-Based Acoustic Doppler Current Profiler (ADCP)
• [math.PR]Long Random Matrices and Tensor Unfolding
• [math.ST]A Deep Generative Approach to Conditional Sampling
• [math.ST]Optimal partition recovery in general graphs
• [math.ST]Optimal trading: a model predictive control approach
• [math.ST]Regret Minimization in Isotonic, Heavy-Tailed Contextual Bandits via Adaptive Confidence Bands
• [math.ST]The Performance of the MLE in the Bradley-Terry-Luce Model in -Loss and under General Graph Topologies
• [math.ST]U-statistic based on overlapping sample spacings
• [physics.app-ph]Semi-supervised physics guided DL framework for predicting the I-V characteristics of GAN HEMT
• [physics.med-ph]Artificial Intelligence-Based Detection, Classification and Prediction/Prognosis in PET Imaging: Towards Radiophenomics
• [physics.med-ph]Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy
• [quant-ph]Learning quantum dynamics with latent neural ODEs
• [stat.AP]A Bayesian Solution to Inverse Problem for Circadian Cycles
• [stat.AP]Adaptive Learning on Time Series: Method and Financial Applications
• [stat.AP]An application of a small area procedure with correlation between measurement error and sampling error to the Conservation Effects Assessment Project
• [stat.AP]Bayesian spatial voting model to characterize the legislative behavior of the Colombian S
6ef
enate 2010-2014
• [stat.AP]Functional Boxplots for Outlier Detection in Additive Manufacturing
• [stat.AP]On the association between COVID-19 vaccination levels and incidence and lethality rates at a regional scale in Spain
• [stat.CO]BNPdensity: Bayesian nonparametric mixture modeling in R
• [stat.CO]Simulating time-to-event data from parametric distributions, custom distributions, competing risk models and general multi-state models
• [stat.ME]A Bayesian Approach for the Variance of Fine Stratification
• [stat.ME]A Critique of a Variety of “Memory-Based’’ Process Monitoring Methods
• [stat.ME]A Gentle Introduction to Bayesian Hierarchical Linear Regression Models
• [stat.ME]A matching framework for truncation by death problems
• [stat.ME]Addressing Positivity Violations in Causal Effect Estimation using Gaussian Process Priors
• [stat.ME]An Efficient Scheme for Sampling in Constrained Domains
• [stat.ME]Asymptotics of cut distributions and robust modular inference using Posterior Bootstrap
• [stat.ME]Bayesian Approach to Two-Stage Randomized Experiments in the Presence of Interference and Noncompliance
• [stat.ME]CIMTx: An R package for causal inference with multiple treatments using observational data
• [stat.ME]DIF Statistical Inference and Detection without Knowing Anchoring Items
• [stat.ME]Discrete Teissier distribution: properties, estimation and application
• [stat.ME]Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning
• [stat.ME]Hyperspherical Dirac Mixture Reapproximation
• [stat.ME]Incremental causal effects: an introduction and review
• [stat.ME]Individualized Decision-Making Under Partial Identification: Three Perspectives, Two Optimality Results, and One Paradox
• [stat.ME]Joint Gaussian Graphical Model Estimation: A Survey
• [stat.ME]Local Statistics for Spatial Panel Models with Application to the US Electorate
• [stat.ME]Machine learning approaches to identify thresholds in a heat-health warning system context
• [stat.ME]On Multiply Robust Mendelian Randomization (MR) With Many Invalid Genetic Instruments
• [stat.ME]Operator-induced structural variable selection with applications to materials genomes
• [stat.ME]Regularized Estimating Equations from the Fixed-point and Variational Inequality Perspectives
• [stat.ME]Retarded kernels for longitudinal survival analysis and dynamic prediction
• [stat.ME]Reversible Genetically Modified Mode Jumping MCMC
• [stat.ME]Variable selection in doubly truncated regression
• [stat.ML]Adversarial attacks against Bayesian forecasting dynamic models
• [stat.ML]Computational Graph Completion
• [stat.ML]Data splitting improves statistical performance in overparametrized regimes
• [stat.ML]Identifiable Variational Autoencoders via Sparse Decoding
• [stat.ML]Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality
• [stat.ML]Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory
• [stat.ML]Mean Nyström Embeddings for Adaptive Compressive Learning
• [stat.ML]On Optimal Interpolation In Linear Regression
• [stat.ML]Online non-parametric change-point detection for heterogeneous data streams observed over graph nodes
• [stat.ML]Pick-and-Mix Information Operators for Probabilistic ODE Solvers
• [stat.ML]The R package sentometrics to compute, aggregate and predict with textual sentiment
• [stat.ML]User-friendly introduction to PAC-Bayes bounds

·····································

• [cs.AI]A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act
Francesco Sovrano, Salvatore Sapienza, Monica Palmirani, Fabio Vitali
http://arxiv.org/abs/2110.11168v1

• [cs.AI]Bootstrapping confidence in future safety based on past safe operation
Peter Bishop, Andrey Povyakalo, Lorenzo Strigini
http://arxiv.org/abs/2110.10718v1

• [cs.AI]Detecting Important Patterns Using Conceptual Relevance Interestingness Measure
Mohamed-Hamza Ibrahim, Rokia Missaoui, Jean Vaillancourt
http://arxiv.org/abs/2110.11262v1

• [cs.AI]Human-Centered Explainable AI (XAI): From Algorithms to User Experiences
Q. Vera Liao, Kush R. Varshney
http://arxiv.org/abs/2110.10790v1

• [cs.AI]LOA: Logical Optimal Actions for Text-based Interaction Games
Daiki Kimura, Subhajit Chaudhury, Masaki Ono, Michiaki Tatsubori, Don Joven Agravante, Asim Munawar, Akifumi Wachi, Ryosuke Kohita, Alexander Gray
http://arxiv.org/abs/2110.10973v1

• [cs.AI]Neuro-Symbolic Reinforcement Learning with First-Order Logic
Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Ryosuke Kohita, Akifumi Wachi, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, Alexander Gray
http://arxiv.org/abs/2110.10963v1

• [cs.AI]Playing 2048 With Reinforcement Learning
Shilun Li, Veronica Peng
http://arxiv.org/abs/2110.10374v1

• [cs.AI]R4: A Framework for Route Representation and Route Recommendation
Ran Cheng, Chao Chen, Longfei Xu, Shen Li, Lei Wang, Hengbin Cui, Kaikui Liu, Xiaolong Li
http://arxiv.org/abs/2110.10474v1

• [cs.AI]Sampling from Arbitrary Functions via PSD Models
Ulysse Marteau-Ferey, Alessandro Rudi, Francis Bach
http://arxiv.org/abs/2110.10527v1

• [cs.AI]Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks
Zihan Liul, Yun Luo, Zelin Zang, Stan Z. Li
http://arxiv.org/abs/2110.10482v1

• [cs.AI]Towards Social Situation Awareness in Support Agents
Ilir Kola, Pradeep K. Murukannaiah, Catholijn M. Jonker, M. Birna van Riemsdijk
http://arxiv.org/abs/2110.09829v2

• [cs.AI]Why Settle for Just One? Extending EL++ Ontology Embeddings with Many-to-Many Relationships
Biswesh Mohapatra, Sumit Bhatia, Raghava Mutharaju, G. Srinivasaraghavan
http://arxiv.org/abs/2110.10555v1

• [cs.AI]flip-hoisting: Exploiting Repeated Parameters in Discrete Probabilistic Programs
Yu-Hsi Cheng, Todd Millstein, Guy Van den Broeck, Steven Holtzen
http://arxiv.org/abs/2110.10284v1

• [cs.CG]A unifying framework for -dimensional quasi-conformal mappings
Daoping Zhang, Gary P. T. Choi, Jianping Zhang, Lok Ming Lui
http://arxiv.org/abs/2110.10437v1

• [cs.CL]A Self-Explainable Stylish Image Captioning Framework via Multi-References
Chengxi Li, Brent Harrison
http://arxiv.org/abs/2110.10704v1

• [cs.CL]A Systematic Review on the Detection of Fake News Articles
Nathaniel Hoy, Theodora Koulouri
http://arxiv.org/abs/2110.11240v1

• [cs.CL]A non-hierarchical attention network with modality dropout for textual response generation in multimodal dialogue systems
Rongyi Sun, Borun Chen, Qingyu Zhou, Yinghui Li, YunBo Cao, Hai-Tao Zheng
http://arxiv.org/abs/2110.09702v2

• [cs.CL]An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C)
Sijia Liu, Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Robert Miller, Andrew Williams, Daniel Harris, Ramakanth Kavuluru, Mei Liu, Noor Abu-el-rub, Rui Zhang, John D. Osborne, Masoud Rouhizadeh, Yongqun He, Emily Pfaff, Christopher G. Chute, Tim Duong, Melissa A. Haendel, Rafael Fuentes, Peter Szolovits, Hua Xu, Hongfang Liu
http://arxiv.org/abs/2110.10780v1

• [cs.CL]Asynchronous Decentralized Distributed Training of Acoustic Models
Xiaodong Cui, Wei Zhang, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, David Kung
http://arxiv.org/abs/2110.11199v1

• [cs.CL]Better than Average: Paired Evaluation of NLP Systems
Maxime Peyrard, Wei Zhao, Steffen Eger, Robert West
http://arxiv.org/abs/2110.10746v1

• [cs.CL]CNewSum: A Large-scale Chinese News Summarization Dataset with Human-annotated Adequacy and Deducibility Level
Danqing Wang, Jiaze Chen, Xianze Wu, Hao Zhou, Lei Li
http://arxiv.org/abs/2110.10874v1

• [cs.CL]Continual Learning in Multilingual NMT via Language-Specific Embeddings
Alexandre Berard
http://arxiv.org/abs/2110.10478v1

• [cs.CL]Contrastive Document Representation Learning with Graph Attention Networks
Peng Xu, Xinchi Chen, Xiaofei Ma, Zhiheng Huang, Bing Xiang
http://arxiv.org/abs/2110.10778v1

• [cs.CL]Discontinuous Grammar as a Foreign Language
Daniel Fernández-González, Carlos Gómez-Rodríguez
http://arxiv.org/abs/2110.10431v1

• [cs.CL]Distributionally Robust Classifiers in Sentiment Analysis
Shilun Li, Renee Li, Carina Zhang
http://arxiv.org/abs/2110.10372v1

• [cs.CL]Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer
Eleftheria Briakou, Sweta Agrawal, Joel Tetreault, Marine Carpuat
http://arxiv.org/abs/2110.10668v1

• [cs.CL]GenNI: Human-AI Collaboration for Data-Backed Text Generation
Hendrik Strobelt, Jambay Kinley, Robert Krueger, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush
http://arxiv.org/abs/2110.10185v1

• [cs.CL]Hierarchical Aspect-guided Explanation Generation for Explainable Recommendation
Yidan Hu, Yong Liu, Chunyan Miao, Gongqi Lin, Yuan Miao
http://arxiv.org/abs/2110.10358v1

• [cs.CL]Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair Prediction
Shubhanshu Mishra, Aria Haghighi
http://arxiv.org/abs/2110.10318v1

• [cs.CL]Improving Non-autoregressive Generation with Mixup Training
Ting Jiang, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Liangjie Zhang, Qi Zhang
http://arxiv.org/abs/2110.11115v1

• [cs.CL]Integrating Visuospatial, Linguistic and Commonsense Structure into Story Visualization
Adyasha Maharana, Mohit Bansal
http://arxiv.org/abs/2110.10834v1

• [cs.CL]Interpreting Deep Learning Models in Natural Language Processing: A Review
Xiaofei Sun, Diyi Yang, Xiaoya Li, Tianwei Zhang, Yuxian Meng, Qiu Han, Guoyin Wang, Eduard Hovy, Jiwei Li
http://arxiv.org/abs/2110.10470v1

• [cs.CL]Knowledge Graph informed Fake News Classification via Heterogeneous Representation Ensembles
Boshko Koloski, Timen Stepišnik-Perdih, Marko Robnik-Šikonja, Senja Pollak, Blaž Škrlj
http://arxiv.org/abs/2110.10457v1

• [cs.CL]LMSOC: An Approach for Socially Sensitive Pretraining
Vivek Kulkarni, Shubhanshu Mishra, Aria Haghighi
http://arxiv.org/abs/2110.10319v1

• [cs.CL]Modeling Performance in Open-Domain Dialogue with PARADISE
Marilyn Walker, Colin Harmon, James Graupera, Davan Harrison, Steve Whittaker
http://arxiv.org/abs/2110.11164v1

• [cs.CL]Multilingual Unsupervised Neural Machine Translation with Denoising Adapters
Ahmet Üstün, Alexandre Bérard, Laurent Besacier, Matthias Gallé
http://arxiv.org/abs/2110.10472v1

• [cs.CL]Neural Medication Extraction: A Comparison of Recent Models in Supervised and Semi-supervised Learning Settings
Ali Can Kocabiyikoglu, François Portet, Raheel Qader, Jean-Marc Babouchkine
http://arxiv.org/abs/2110.10213v1

• [cs.CL]News-based Business Sentiment and its Properties as an Economic Index
Kazuhiro Seki, Yusuke Ikuta, Yoichi Matsubayashi
http://arxiv.org/abs/2110.10340v1

• [cs.CL]Overview of the 2021 Key Point Analysis Shared Task
Roni Friedman, Lena Dankin, Yufang Hou, Ranit Aharonov, Yoav Katz, Noam Slonim
http://arxiv.org/abs/2110.10577v1

• [cs.CL]Principled Representation Learning for Entity Alignment
Lingbing Guo, Zequn Sun, Mingyang Chen, Wei Hu, Qiang Zhang, Huajun Chen
http://arxiv.org/abs/2110.10871v1

• [cs.CL]RNet:Relation-embedded Representation Reconstruction Network for Change Captioning
Yunbin Tu, Liang Li, Chenggang Yan, Shengxiang Gao, Zhengtao Yu
http://arxiv.org/abs/2110.10328v1

• [cs.CL]SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark
Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer
http://arxiv.org/abs/2110.10661v1

• [cs.CL]SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training
Ankur Bapna, Yu-an Chung, Nan Wu, Anmol Gulati, Ye Jia, Jonathan H. Clark, Melvin Johnson, Jason Riesa, Alexis Conneau, Yu Zhang
http://arxiv.org/abs/2110.10329v1

• [cs.CL]SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation
Hong Chen, Hiroya Takamura, Hideki Nakayama
http://arxiv.org/abs/2110.10774v1

• [cs.CL]SocialVisTUM: An Interactive Visualization Toolkit for Correlated Neural Topic Models on Social Media Opinion Mining
Gerhard Hagerer, Martin Kirchhoff, Hannah Danner, Robert Pesch, Mainak Ghosh, Archishman Roy, Jiaxi Zhao, Georg Groh
http://arxiv.org/abs/2110.10575v1

• [cs.CL]Topic-Guided Abstractive Multi-Document Summarization
Peng Cui, Le Hu
http://arxiv.org/abs/2110.11207v1

• [cs.CL]n-stage Latent Dirichlet Allocation: A Novel Approach for LDA
Zekeriya Anil Guven, Banu Diri, Tolgahan Cakaloglu
http://arxiv.org/abs/2110.08591v2

• [cs.CR]Detecting Backdoor Attacks Against Point Cloud Classifiers
Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis
http://arxiv.org/abs/2110.10354v1

• [cs.CR]Fingerprint recognition with embedded presentation attacks detection: are we ready?
Marco Micheletto, Gian Luca Marcialis, Giulia Orrù, Fabio Roli
http://arxiv.org/abs/2110.10567v1

• [cs.CR]Physical Side-Channel Attacks on Embedded Neural Networks: A Survey
Maria Méndez Real, Rubén Salvador
http://arxiv.org/abs/2110.11290v1

• [cs.CR]Privacy in Open Search: A Review of Challenges and Solutions
Samuel Sousa, Roman Kern, Christian Guetl
http://arxiv.org/abs/2110.10720v1

• [cs.CR]Steganography of Complex Networks
Daewon Lee
http://arxiv.org/abs/2110.10418v1

• [cs.CV]1st Place Solution for the UVO Challenge on Image-based Open-World Segmentation 2021
Yuming Du, Wen Guo, Yang Xiao, Vincent Lepetit
http://arxiv.org/abs/2110.10239v1

• [cs.CV]3D-ANAS v2: Grafting Transformer Module on Automatically Designed ConvNet for Hyperspectral Image Classification
Xizhe Xue, Haokui Zhang, Zongwen Bai, Ying Li
http://arxiv.org/abs/2110.11084v1

• [cs.CV]3DFaceFill: An Analysis-By-Synthesis Approach to Face Completion
Rahul Dey, Vishnu Boddeti
http://arxiv.org/abs/2110.10395v1

• [cs.CV]A Deep Insight into Measuring Face Image Utility with General and Face-specific Image Quality Metrics
Biying Fu, Cong Chen, Olaf Henniger, Naser Damer
http://arxiv.org/abs/2110.11111v1

• [cs.CV]A Domain Gap Aware Generative Adversarial Network for Multi-domain Image Translation
Wenju Xu, Guanghui Wang
http://arxiv.org/abs/2110.10837v1

• [cs.CV]A Fast Location Algorithm for Very Sparse Point Clouds Based on Object Detection
Shiyu Fan
http://arxiv.org/abs/2110.10901v1

• [cs.CV]A Learning Framework for Diffeomorphic Image Registration based on Quasi-conformal Geometry
Qiguang Chen, Zhiwen Li, Lok Ming Lui
http://arxiv.org/abs/2110.10580v1

• [cs.CV]A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning
Linlan Zhao, Dashan Guo, Yunlu Xu, Liang Qiao, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Xiangzhong Fang
http://arxiv.org/abs/2110.11128v1

• [cs.CV]ARTS: Eliminating Inconsistency between Text Detection and Recognition with Auto-Rectification Text Spotter
Humen Zhong, Jun Tang, Wenhai Wang, Zhibo Yang, Cong Yao, Tong Lu
http://arxiv.org/abs/2110.10405v1

• [cs.CV]An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator
Cuong V. Nguyen, Tien-Dung Cao, Tram Truong-Huu, Khanh N. Pham, Binh T. Nguyen
http://arxiv.org/abs/2110.11293v1

• [cs.CV]AniFormer: Data-driven 3D Animation with Transformer
Haoyu Chen, Hao Tang, Nicu Sebe, Guoying Zhao
http://arxiv.org/abs/2110.10533v1

• [cs.CV]Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
Guocheng Qian, Hasan Abed Al Kader Hammoud, Guohao Li, Ali Thabet, Bernard Ghanem
http://arxiv.org/abs/2110.10538v1

• [cs.CV]Augmenting Knowledge Distillation With Peer-To-Peer Mutual Learning For Model Compression
Usma Niyaz, Deepti R. Bathula
http://arxiv.org/abs/2110.11023v1

• [cs.CV]Cascaded Cross MLP-Mixer GANs for Cross-View Image Translation
Bin Ren, Hao Tang, Nicu Sebe
http://arxiv.org/abs/2110.10183v1

• [cs.CV]Class-Discriminative CNN Compression
Yuchen Liu, David Wentzlaff, S. Y. Kung
http://arxiv.org/abs/2110.10864v1

• [cs.CV]Closed-loop Feedback Registration for Consecutive Images of Moving Flexible Targets
Rui Ma, Xian Du
http://arxiv.org/abs/2110.10772v1

• [cs.CV]CoFi: Coarse-to-Fine ICP for LiDAR Localization in an Efficient Long-lasting Point Cloud Map
Yecheng Lyu, Xinming Huang, Ziming Zhang
http://arxiv.org/abs/2110.10194v1

• [cs.CV]Come Again? Re-Query in Referring Expression Comprehension
Stephan J. Lemmer, Jason J. Corso
http://arxiv.org/abs/2110.10206v1

• [cs.CV]Constrained Mean Shift for Representation Learning
Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash
http://arxiv.org/abs/2110.10309v1

• [cs.CV]Contextual Gradient Scaling for Few-Shot Learning
Sanghyuk Lee, Seunghyun Lee, Byung Cheol Song
http://arxiv.org/abs/2110.10353v1

• [cs.CV]Controllable and Compositional Generation with Latent-Space Energy-Based Models
Weili Nie, Arash Vahdat, Anima Anandkumar
http://arxiv.org/abs/2110.10873v1

• [cs.CV]Convex Joint Graph Matching and Clustering via Semidefinite Relaxations
Maximilian Krahn, Florian Bernard, Vladislav Golyanik
http://arxiv.org/abs/2110.11335v1

• [cs.CV]Deep Curriculum Learning in Task Space for Multi-Class Based Mammography Diagnosis
Jun Luo, Dooman Arefan, Margarita Zuley, Jules Sumkin, Shandong Wu
http://arxiv.org/abs/2110.11320v1

• [cs.CV]Deep Image Matting with Flexible Guidance Input
Hang Cheng, Shugong Xu, Xiufeng Jiang, Rongrong Wang
http://arxiv.org/abs/2110.10898v1

• [cs.CV]Deep Point Cloud Normal Estimation via Triplet Learning
Weijia Wang, Xuequan Lu, Dasith de Silva Edirimuni, Xiao Liu, Antonio Robles-Kelly
http://arxiv.org/abs/2110.10494v1

• [cs.CV]Depth360: Monocular Depth Estimation using Learnable Axisymmetric Camera Model for Spherical Camera Image
Noriaki Hirose, Kosuke Tahara
http://arxiv.org/abs/2110.10415v1

• [cs.CV]Detecting and Identifying Optical Signal Attacks on Autonomous Driving Systems
Jindi Zhang, Yifan Zhang, Kejie Lu, Jianping Wang, Kui Wu, Xiaohua Jia, Bin Liu
http://arxiv.org/abs/2110.10523v1

• [cs.CV]Detection of Driver Drowsiness by Calculating the Speed of Eye Blinking
Muhammad Fawwaz Yusri, Patrick Mangat, Oliver Wasenmüller
http://arxiv.org/abs/2110.11223v1

• [cs.CV]Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias
Sharat Agarwal, Sumanyu Muku, Saket Anand, Chetan Arora
http://arxiv.org/abs/2110.10389v1

• [cs.CV]Dynamic Multi-Person Mesh Recovery From Uncalibrated Multi-View Cameras
Buzhen Huang, Yuan Shu, Tianshu Zhang, Yangang Wang
http://arxiv.org/abs/2110.10355v1

• [cs.CV]EBJR: Energy-Based Joint Reasoning for Adaptive Inference
Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang
http://arxiv.org/abs/2110.10343v1

• [cs.CV]Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing
Liuqing Zhao, Fan Lyu, Fuyuan Hu, Kaizhu Huang, Fenglei Xu, Linyan Li
http://arxiv.org/abs/2110.11159v1

• [cs.CV]Early- and in-season crop type mapping without current-year ground truth: generating labels from historical information via a topology-based approach
Chenxi Lin, Liheng Zhong, Xiao-Peng Song, Jinwei Dong, David B. Lobell, Zhenong Jin
http://arxiv.org/abs/2110.10275v1

• [cs.CV]Event Guided Depth Sensing
Manasi Muglikar, Diederik Paul Moeys, Davide Scaramuzza
http://arxiv.org/abs/2110.10505v1

• [cs.CV]Evolving Transferable Pruning Functions
Yuchen Liu, S. Y. Kung, David Wentzlaff
http://arxiv.org/abs/2110.10876v1

• [cs.CV]Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation
Inseop Chung, Jayeon Yoo, Nojun Kwak
http://arxiv.org/abs/2110.10916v1

• [cs.CV]Extraction of Positional Player Data from Broadcast Soccer Videos
Jonas Theiner, Wolfgang Gritz, Eric Müller-Budack, Robert Rein, Daniel Memmert, Ralph Ewerth
http://arxiv.org/abs/2110.11107v1

• [cs.CV]Few-Shot Temporal Action Localization with Query Adaptive Transformer
Sauradip Nag, Xiatian Zhu, Tao Xiang
http://arxiv.org/abs/2110.10552v1

• [cs.CV]Fine-Grained Control of Artistic Styles in Image Generation
Xin Miao, Huayan Wang, Jun Fu, Jiayi Liu, Shen Wang, Zhenyu Liao
http://arxiv.org/abs/2110.10278v1

• [cs.CV]GTM: Gray Temporal Model for Video Recognition
Yanping Zhang, Yongxin Yu
http://arxiv.org/abs/2110.10348v1

• [cs.CV]Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang, Kaiyang Zhou, Yixuan Li, Ziwei Liu
http://arxiv.org/abs/2110.11334v1

• [cs.CV]Generative Adversarial Graph Convolutional Networks for Human Action Synthesis
Bruno Degardin, João Neves, Vasco Lopes, João Brito, Ehsan Yaghoubi, Hugo Proença
http://arxiv.org/abs/2110.11191v1

• [cs.CV]HALP: Hardware-Aware Latency Pruning
Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, Jose M. Alvarez
http://arxiv.org/abs/2110.10811v1

• [cs.CV]HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification
Kai Wang, Xialei Liu, Luis Herranz, Joost van de Weijer
http://arxiv.org/abs/2110.11148v1

• [cs.CV]HENet: Forcing a Network to Think More for Font Recognition
Jingchao Chen, Shiyi Mu, Shugong Xu, Youdong Ding
http://arxiv.org/abs/2110.10872v1

• [cs.CV]Hand-Object Contact Prediction via Motion-Based Pseudo-Labeling and Guided Progressive Label Correction
Takuma Yagi, Md Tasnimul Hasan, Yoichi Sato
http://arxiv.org/abs/2110.10174v1

• [cs.CV]Improving Model Generalization by Agreement of Learned Representations from Data Augmentation
Rowel Atienza
http://arxiv.org/abs/2110.10536v1

• [cs.CV]Improving the Deployment of Recycling Classification through Efficient Hyper-Parameter Analysis
Mazin Abdulmahmood, Ryan Grammenos
http://arxiv.org/abs/2110.11043v1

• [cs.CV]Inference Graphs for CNN Interpretation
Yael Konforti, Alon Shpigler, Boaz Lernerand Aharon Bar-Hillel
http://arxiv.org/abs/2110.10568v1

• [cs.CV]LARNet: Latent Action Representation for Human Action Synthesis
Naman Biyani, Aayush J Rana, Shruti Vyas, Yogesh S Rawat
http://arxiv.org/abs/2110.10899v1

• [cs.CV]LC3Net: Ladder context correlation complementary network for salient object detection
Xian Fang, Jinchao Zhu, Xiuli Shao, Hongpeng Wang
http://arxiv.org/abs/2110.10869v1

• [cs.CV]Learning 3D Semantic Segmentation with only 2D Image Supervision
Kyle Genova, Xiaoqi Yin, Abhijit Kundu, Caroline Pantofaru, Forrester Cole, Avneesh Sud, Brian Brewington, Brian Shucker, Thomas Funkhouser
http://arxiv.org/abs/2110.11325v1

• [cs.CV]Learning Equivariances and Partial Equivariances from Data
David W. Romero, Suhas Lohit
http://arxiv.org/abs/2110.10211v1

• [cs.CV]Look at What I’m Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos
Reuben Tan, Bryan A. Plummer, Kate Saenko, Hailin Jin, Bryan Russell
http://arxiv.org/abs/2110.10596v1

• [cs.CV]MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation
Yepeng Liu, Zaiwang Gu, Shenghua Gao, Dong Wang, Yusheng Zeng, Jun Cheng
http://arxiv.org/abs/2110.10953v1

• [cs.CV]MSO: Multi-Feature Space Joint Optimization Network for RGB-Infrared Person Re-Identification
Yajun Gao, Tengfei Liang, Yi Jin, Xiaoyan Gu, Wu Liu, Yidong Li, Congyan Lang
http://arxiv.org/abs/2110.11264v1

• [cs.CV]Mixer-based lidar lane detection network and dataset for urban roads
Donghee Paek, Seung-Hyun Kong, Kevin Tirta Wijaya
http://arxiv.org/abs/2110.11048v1

• [cs.CV]Moiré Attack (MA): A New Potential Risk of Screen Photos
Dantong Niu, Ruohao Guo, Yisen Wang
http://arxiv.org/abs/2110.10444v1

• [cs.CV]Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE
Devansh Arpit, Aadyot, Bhatnagar, Huan Wang, Caiming Xiong
http://arxiv.org/abs/2110.10303v1

• [cs.CV]Multi-Category Mesh Reconstruction From Image Collections
Alessandro Simoni, Stefano Pini, Roberto Vezzani, Rita Cucchiara
http://arxiv.org/abs/2110.11256v1

• [cs.CV]Multi-Object Tracking and Segmentation with a Space-Time Memory Network
Mehdi Miah, Guillaume-Alexandre Bilodeau, Nicolas Saunier
http://arxiv.org/abs/2110.11284v1

• [cs.CV]Multi-label Classification with Partial Annotations using Class-aware Selective Loss
Emanuel Ben-Baruch, Tal Ridnik, Itamar Friedman, Avi Ben-Cohen, Nadav Zamir, Asaf Noy, Lihi Zelnik-Manor
http://arxiv.org/abs/2110.10955v1

• [cs.CV]Multimodal Learning using Optimal Transport for Sarcasm and Humor Detection
Shraman Pramanick, Aniket Roy, Vishal M. Patel
http://arxiv.org/abs/2110.10949v1

• [cs.CV]NOD: Taking a Closer Look at Detection under Extreme Low-Light Conditions with Night Object Detection Dataset
Igor Morawski, Yu-An Chen, Yu-Sheng Lin, Winston H. Hsu
http://arxiv.org/abs/2110.10364v1

• [cs.CV]Noisy Annotation Refinement for Object Detection
Jiafeng Mao, Qing Yu, Yoko Yamakata, Kiyoharu Aizawa
http://arxiv.org/abs/2110.10456v1

• [cs.CV]On Coordinate Decoding for Keypoint Estimation Tasks
Anargyros Chatzitofis, Nikolaos Zioulis, Georgios Nikolaos Albanis, Dimitrios Zarpalas, Petros Daras
http://arxiv.org/abs/2110.10289v1

• [cs.CV]On the properties of some low-parameter models for color reproduction in terms of spectrum transformations and coverage of a color triangle
Alexey Kroshnin, Viacheslav Vasilev, Egor Ershov, Denis Shepelev, Dmitry Nikolaev, Mikhail Tchobanou
http://arxiv.org/abs/2110.11255v1

• [cs.CV]Pixel-Level Face Image Quality Assessment for Explainable Face Recognition
Philipp Terhörst, Marco Huber, Naser Damer, Florian Kirchbuchner, Kiran Raja, Arjan Kuijper
http://arxiv.org/abs/2110.11001v1

• [cs.CV]PlaneRecNet: Multi-Task Learning with Cross-Task Consistency for Piece-Wise Plane Detection and Reconstruction from a Single RGB Image
Yaxu Xie, Fangwen Shu, Jason Rambach, Alain Pagani, Didier Stricker
http://arxiv.org/abs/2110.11219v1

• [cs.CV]RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation
Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
http://arxiv.org/abs/2110.11036v1

• [cs.CV]Reinforcement Learning Based Optimal Camera Placement for Depth Observation of Indoor Scenes
Yichuan Chen, Manabu Tsukada, Hiroshi Esaki
http://arxiv.org/abs/2110.11106v1

• [cs.CV]Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples
Amin Banitalebi-Dehkordi, Yong Zhang
http://arxiv.org/abs/2110.10366v1

• [cs.CV]Robust Edge-Direct Visual Odometry based on CNN edge detection and Shi-Tomasi corner optimization
Kengdong Lu, Jintao Cheng, Yubin Zhou, Juncan Deng, Rui Fan, Kaiqing Luo
http://arxiv.org/abs/2110.11064v1

• [cs.CV]SLURP: Side Learning Uncertainty for Regression Problems
Xuanlong Yu, Gianni Franchi, Emanuel Aldea
http://arxiv.org/abs/2110.11182v1

• [cs.CV]SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning
Yanli Liu, Bochen Guan, Qinwen Xu, Weiyi Li, Shuxue Quan
http://arxiv.org/abs/2110.10842v1

• [cs.CV]STALP: Style Transfer with Auxiliary Limited Pairing
David Futschik, Michal Kučera, Michal Lukáč, Zhaowen Wang, Eli Shechtman, Daniel Sýkora
http://arxiv.org/abs/2110.10501v1

• [cs.CV]Self-Supervised Monocular Scene Decomposition and Depth Estimation
Sadra Safadoust, Fatma Güney
http://arxiv.org/abs/2110.11275v1

• [cs.CV]Self-Supervision and Spatial-Sequential Attention Based Loss for Multi-Person Pose Estimation
Haiyang Liu, Dingli Luo, Songlin Du, Takeshi Ikenaga
http://arxiv.org/abs/2110.10734v1

• [cs.CV]Semi-supervised Domain Adaptation for Semantic Segmentation
Ying Chen, Xu Ouyang, Kaiyue Zhu, Gady Agam
http://arxiv.org/abs/2110.10639v1

• [cs.CV]Simpler Does It: Generating Semantic Labels with Objectness Guidance
Md Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce
http://arxiv.org/abs/2110.10335v1

• [cs.CV]Single-Modal Entropy based Active Learning for Visual Question Answering
Dong-Jin Kim, Jae Won Cho, Jinsoo Choi, Yunjae Jung, In So Kweon
http://arxiv.org/abs/2110.10906v1

• [cs.CV]Spatial Location Constraint Prototype Loss for Open Set Recognition
Ziheng Xia, Ganggang Dong, Penghui Wang, Hongwei Liu
http://arxiv.org/abs/2110.11013v1

• [cs.CV]Style Agnostic 3D Reconstruction via Adversarial Style Transfer
Felix Petersen, Bastian Goldluecke, Oliver Deussen, Hilde Kuehne
http://arxiv.org/abs/2110.10784v1

• [cs.CV]StyleAlign: Analysis and Applications of Aligned StyleGAN Models
Zongze Wu, Yotam Nitzan, Eli Shechtman, Dani Lischinski
http://arxiv.org/abs/2110.11323v1

• [cs.CV]Super-resolution of multiphase materials by combining complementary 2D and 3D image data using generative adversarial networks
Amir Dahari, Steve Kench, Isaac Squires, Samuel J. Cooper
http://arxiv.org/abs/2110.11281v1

• [cs.CV]Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
Cho-Ying Wu, Qiangeng Xu, Ulrich Neumann
http://arxiv.org/abs/2110.09772v2

• [cs.CV]Text-Based Person Search with Limited Data
Xiao Han, Sen He, Li Zhang, Tao Xiang
http://arxiv.org/abs/2110.10807v1

• [cs.CV]The Effect of Wearing a Face Mask on Face Image Quality
Biying Fu, Florian Kirchbuchner, Naser Damer
http://arxiv.org/abs/2110.11283v1

• [cs.CV]Toward Accurate and Reliable Iris Segmentation Using Uncertainty Learning
Jianze Wei, Huaibo Huang, Muyi Sun, Ran He, Zhenan Sun
http://arxiv.org/abs/2110.10334v1

• [cs.CV]Transfer beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation
Jiaming Zhang, Chaoxiang Ma, Kailun Yang, Alina Roitberg, Kunyu Peng, Rainer Stiefelhagen
http://arxiv.org/abs/2110.11062v1

• [cs.CV]Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation
Qiming Hu, Xiaojie Guo
http://arxiv.org/abs/2110.10546v1

• [cs.CV]Unified Style Transfer
Guanjie Huang, Hongjian He, Xiang Li, Xingchen Li, Ziang Liu
http://arxiv.org/abs/2110.10481v1

• [cs.CV]Video Instance Segmentation by Instance Flow Assembly
Xiang Li, Jinglu Wang, Xiao Li, Yan Lu
http://arxiv.org/abs/2110.10599v1

• [cs.CV]Video and Text Matching with Conditioned Embeddings
Ameen Ali, Idan Schwartz, Tamir Hazan, Lior Wolf
http://arxiv.org/abs/2110.11298v1

• [cs.CV]Vis-TOP: Visual Transformer Overlay Processor
Wei Hu, Dian Xu, Zimeng Fan, Fang Liu, Yanxiang He
http://arxiv.org/abs/2110.10957v1

• [cs.CV]Weakly Supervised Training of Monocular 3D Object Detectors Using Wide Baseline Multi-view Traffic Camera Data
Matthew Howe, Ian Reid, Jamie Mackenzie
http://arxiv.org/abs/2110.10966v1

• [cs.CY]“Computer Says No”: Algorithmic Decision Support and Organisational Responsibility
Angelika Adensamer, Rita Gsenger, Lukas Daniel Klausner
http://arxiv.org/abs/2110.11037v1

• [cs.CY]Algorithmic Amplification of Politics on Twitter
Ferenc Huszár, Sofia Ira Ktena, Conor O’Brien, Luca Belli, Andrew Schlaikjer, Moritz Hardt
http://arxiv.org/abs/2110.11010v1

• [cs.CY]Application of E-Commerce Technologies in accelerating the Success of SME Operation
Ziad Hmwd A Almtiri, Shah J Miah, Nasimul Noman
http://arxiv.org/abs/2110.10836v1

• [cs.CY]Different Applications and Technologies of Internet of Things (IoT)
Feisal Masmali, Shah J. Miah
http://arxiv.org/abs/2110.10452v1

• [cs.CY]Ethics-Based Auditing of Automated Decision-Making Systems: Nature, Scope, and Limitations
Jakob Mokander, Jessica Morley, Mariarosaria Taddeo, Luciano Floridi
http://arxiv.org/abs/2110.10980v1

• [cs.CY]Exploring the Relationship Between “Positive Risk Balance” and “Absence of Unreasonable Risk”
Francesca Favaro
http://arxiv.org/abs/2110.10566v1

• [cs.DC]Accelerating quantum many-body configuration interaction with directives
Brandon Cook, Patrick J. Fasano, Pieter Maris, Chao Yang, Dossay Oryspayev
http://arxiv.org/abs/2110.10765v1

• [cs.DC]Asynchronous parareal time discretization for partial differential equations
Frederic Magoules, Guillaume Gbikpi-Benissan
http://arxiv.org/abs/2110.10762v1

• [cs.DC]Blockchain-based Result Verification for Computation Offloading
Benjamin Körbel, Marten Sigwart, Philip Frauenthaler, Michael Sober, Stefan Schulte
http://arxiv.org/abs/2110.11090v1

• [cs.DC]Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments
Joost Verbraeken, Martijn de Vos, Johan Pouwelse
http://arxiv.org/abs/2110.11006v1

• [cs.DC]Efficient Consensus-Free Weight Reassignment for Atomic Storage
Hasan Heydari, Guthemberg Silvestre, Luciana Arantes
http://arxiv.org/abs/2110.10666v1

• [cs.DC]Monitoring Collective Communication Among GPUs
Muhammet Abdullah Soyturk, Palwisha Akhtar, Erhan Tezcan, Didem Unat
http://arxiv.org/abs/2110.10401v1

• [cs.DC]OMB-Py: Python Micro-Benchmarks for Evaluating Performance of MPI Libraries on HPC Systems
Nawras Alnaasan, Arpan Jain, Aamir Shafi, Hari Subramoni, Dhabaleswar K Panda
http://arxiv.org/abs/2110.10659v1

• [cs.DC]Utilizing Redundancy in Cost Functions for Resilience in Distributed Optimization and Learning
Shuo Liu, Nirupam Gupta, Nitin Vaidya
http://arxiv.org/abs/2110.10858v1

• [cs.IR]A scale invariant ranking function for learning-to-rank: a real-world use case
Alessio Petrozziello, Xiaoke Liu, Christian Sommeregger
http://arxiv.org/abs/2110.11259v1

• [cs.IR]Driving the Herd: Search Engines as Content Influencers
Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber
http://arxiv.org/abs/2110.11166v1

• [cs.IR]Learning to Recommend Using Non-Uniform Data
Wanning Chen, Mohsen Bayati
http://arxiv.org/abs/2110.11248v1

• [cs.IR]Locality-Sensitive Experience Replay for Online Recommendation
Xiaocong Chen, Lina Yao, Xianzhi Wang, Julian McAuley
http://arxiv.org/abs/2110.10850v1

• [cs.IR]MultiHead MultiModal Deep Interest Recommendation Network
Mingbao Yang, ShaoBo Li, Zhou Peng, Ansi Zhang, Yuanmeng Zhang
http://arxiv.org/abs/2110.10205v1

• [cs.IR]Personalized Transfer of User Preferences for Cross-domain Recommendation
Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He
http://arxiv.org/abs/2110.11154v1

• [cs.IR]PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion
Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui
http://arxiv.org/abs/2110.10926v1

• [cs.IR]RL4RS: A Real-World Benchmark for Reinforcement Learning based Recommender System
Kai Wang, Zhene Zou, Qilin Deng, Yue Shang, Minghao Zhao, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan
http://arxiv.org/abs/2110.11073v1

• [cs.IR]Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce
Uriel Singer, Haggai Roitman, Yotam Eshel, Alexander Nus, Ido Guy, Or Levi, Idan Hasson, Eliyahu Kiperwasser
http://arxiv.org/abs/2110.11072v1

• [cs.IT]A Secretive Coded Caching for Shared Cache Systems using PDAs
Elizabath Peter, K. K. Krishnan Namboodiri, B. Sundar Rajan
http://arxiv.org/abs/2110.11110v1

• [cs.IT]Beamforming Design for Intelligent Reflecting Surface-Enhanced Symbiotic Radio Systems
Shaokang Hu, Chang Liu, Zhiqiang Wei, Yuanxin Cai, Derrick Wing Kwan Ng, Jinhong Yuan
http://arxiv.org/abs/2110.10316v1

• [cs.IT]Constructions and Applications of Perfect Difference Matrices and Perfect Difference Families
Xianwei Sun, Huangsheng Yu, Dianhua Wu
http://arxiv.org/abs/2110.10367v1

• [cs.IT]Decision Theoretic Cutoff and ROC Analysis for Bayesian Optimal Group Testing
Ayaka Sakata, Yoshiyuki Kabashima
http://arxiv.org/abs/2110.10877v1

• [cs.IT]Distributed Secret Sharing over a Public Channel from Correlated Random Variables
Remi A. Chou
http://arxiv.org/abs/2110.10307v1

• [cs.IT]Estimation of Covariance Matrix of Interference for Secure Spatial Modulation against a Malicious Full-duplex Attacker
Lili Yang, Xinyi Jiang, Feng Shu, Weibin Zhang, Jiangzhou Wang
http://arxiv.org/abs/2110.10952v1

• [cs.IT]Index Coded - NOMA in Vehicular Ad Hoc Networks
Sreelakshmi P., Jesy Pachat, Anjana A. Mahesh, Deepthi P. P., B. Sundar Rajan
http://arxiv.org/abs/2110.11098v1

• [cs.IT]Intelligent Reflecting Surface for Multi-Path Beam Routing with Active/Passive Beam Splitting and Combining
Weidong Mei, Rui Zhang
http://arxiv.org/abs/2110.11104v1

• [cs.IT]Joint Power Control, Channel Assignment and Cell Association in Heterogeneous Cellular Networks
Shahla Mohsenifard, Ahmad R. Sharafat, Halim Yanikomeroglu
http://arxiv.org/abs/2110.11121v1

• [cs.IT]Learning OFDM Waveforms with PAPR and ACLR Constraints
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce
http://arxiv.org/abs/2110.10987v1

• [cs.IT]Pattern Division Random Access (PDRA) for M2M Communications with Massive MIMO Systems
Xiaoming Dai, Tiantian Yan, Qianqian Li, Hua Li, Xiyuan Wang
http://arxiv.org/abs/2110.10586v1

• [cs.IT]Performance Analysis for Covert Communications Under Faster-than-Nyquist Signaling
Yuan Li, Yuchen Zhang, Wanyu Xiang, Jianquan Wang, Sa Xiao, Liang Chang, Wanbin Tang
http://arxiv.org/abs/2110.10854v1

• [cs.IT]Physical Layer Security in Relay Networks with Outdated Relay Selection
Shahla Mohsenifard
http://arxiv.org/abs/2110.11102v1

• [cs.IT]Scheduling Algorithms for Age of Information Differentiation with Random Arrivals
Nail Akar, Ezhan Karasan
http://arxiv.org/abs/2110.10992v1

• [cs.IT]Statistical Physics Meets Wireless Communications: A Resource Allocation Solution for Large Networks
Andrea Ortiz, Daniel Barragan-Yani
http://arxiv.org/abs/2110.10549v1

• [cs.LG]A Data-Centric Optimization Framework for Machine Learning
Oliver Rausch, Tal Ben-Nun, Nikoli Dryden, Andrei Ivanov, Shigang Li, Torsten Hoefler
http://arxiv.org/abs/2110.10802v1

• [cs.LG]A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison
Sannara Ek, François Portet, Philippe Lalanda, German Vega
http://arxiv.org/abs/2110.10223v1

• [cs.LG]A Fine-Grained Analysis on Distribution Shift
Olivia Wiles, Sven Gowal, Florian Stimberg, Sylvestre Alvise-Rebuffi, Ira Ktena, Krishnamurthy, Dvijotham, Taylan Cemgil
http://arxiv.org/abs/2110.11328v1

• [cs.LG]A Real-Time Energy and Cost Efficient Vehicle Route Assignment Neural Recommender System
Ayman Moawad, Zhijian Li, Ines Pancorbo, Krishna Murthy Gurumurthy, Vincent Freyermuth, Ehsan Islam, Ram Vijayagopal, Monique Stinson, Aymeric Rousseau
http://arxiv.org/abs/2110.10887v1

• [cs.LG]A Simple Approach to Continual Learning by Transferring Skill Parameters
K. R. Zentner, Ryan Julian, Ujjwal Puri, Yulun Zhang, Gaurav S. Sukhatme
http://arxiv.org/abs/2110.10255v1

• [cs.LG]A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays
Leonardo Ravaglia, Manuele Rusci, Davide Nadalini, Alessandro Capotondi, Francesco Conti, Luca Benini
http://arxiv.org/abs/2110.10486v1

• [cs.LG]A Utility Maximization Model of Pedestrian and Driver Interactions
Yi-Shin Lin, Aravinda Ramakrishnan Srinivasan, Matteo Leonetti, Jac Billington, Gustav Markkula
http://arxiv.org/abs/2110.11015v1

• [cs.LG]A channel attention based MLP-Mixer network for motor imagery decoding with EEG
Yanbin He, Zhiyang Lu, Jun Wang, Jun Shi
http://arxiv.org/abs/2110.10939v1

• [cs.LG]ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
Hyuck Lee, Seungjae Shin, Heeyoung Kim
http://arxiv.org/abs/2110.10368v1

• [cs.LG]Actor-critic is implicitly biased towards high entropy optimal policies
Yuzheng Hu, Ziwei Ji, Matus Telgarsky
http://arxiv.org/abs/2110.11280v1

• [cs.LG]AdamD: Improved bias-correction in Adam
John St John
http://arxiv.org/abs/2110.10828v1

• [cs.LG]An Empirical Evaluation of Time-Series Feature Sets
Trent Henderson, Ben D. Fulcher
http://arxiv.org/abs/2110.10914v1

• [cs.LG]An Empirical Study: Extensive Deep Temporal Point Process
Haitao Lin, Cheng Tan, Lirong Wu, Zhangyang Gao, Stan. Z. Li
http://arxiv.org/abs/2110.09823v2

• [cs.LG]Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation
Bingbin Liu, Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
http://arxiv.org/abs/2110.11271v1

• [cs.LG]Anti-Concentrated Confidence Bonuses for Scalable Exploration
Jordan T. Ash, Cyril Zhang, Surbhi Goel, Akshay Krishnamurthy, Sham Kakade
http://arxiv.org/abs/2110.11202v1

• [cs.LG]Autonomous Dimension Reduction by Flattening Deformation of Data Manifold under an Intrinsic Deforming Field
Xiaodong Zhuang
http://arxiv.org/abs/2110.10938v1

• [cs.LG]Bayesian Meta-Learning Through Variational Gaussian Processes
Vivek Myers, Nikhil Sardana
http://arxiv.org/abs/2110.11044v1

• [cs.LG]Behavioral Experiments for Understanding Catastrophic Forgetting
Samuel J. Bell, Neil D. Lawrence
http://arxiv.org/abs/2110.10570v1

• [cs.LG]CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization
Wenzheng Hu, Ning Liu, Zhengping Che, Mingyang Li, Jian Tang, Changshui Zhang, Jianqiang Wang
http://arxiv.org/abs/2110.10921v1

• [cs.LG]CIM-PPO:Proximal Policy Optimization with Liu-Correntropy Induced Metric
Yunxiao Guo, Han Long, Xiaojun Duan, Kaiyuan Feng, Maochu Li, Xiaying Ma
http://arxiv.org/abs/2110.10522v1

• [cs.LG]CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Andreas Fürst, Elisabeth Rumetshofer, Viet Tran, Hubert Ramsauer, Fei Tang, Johannes Lehner, David Kreil, Michael Kopp, Günter Klambauer, Angela Bitto-Nemling, Sepp Hochreiter
http://arxiv.org/abs/2110.11316v1

• [cs.LG]Can Q-learning solve Multi Armed Bantids?
Refael Vivanti
http://arxiv.org/abs/2110.10934v1

• [cs.LG]Cascaded Compressed Sensing Networks: A Reversible Architecture for Layerwise Learning
Weizhi Lu, Mingrui Chen, Kai Guo, Weiyu Li
http://arxiv.org/abs/2110.10379v1

• [cs.LG]Center Loss Regularization for Continual Learning
Kaustubh Olpadkar, Ekta Gavas
http://arxiv.org/abs/2110.11314v1

• [cs.LG]Class Incremental Online Streaming Learning
Soumya Banerjee, Vinay Kumar Verma, Toufiq Parag, Maneesh Singh, Vinay P. Namboodiri
http://arxiv.org/abs/2110.10741v1

• [cs.LG]Color Teams for Machine Learning Development
Josh Kalin, David Noever, Matthew Ciolino
http://arxiv.org/abs/2110.10601v1

• [cs.LG]Convergence Analysis and Implicit Regularization of Feedback Alignment for Deep Linear Networks
Manuela Girotti, Ioannis Mitliagkas, Gauthier Gidel
http://arxiv.org/abs/2110.10815v1

• [cs.LG]DAIR: Data Augmented Invariant Regularization
Tianjian Huang, Shaunak Halbe, Chinnadhurai Sankar, Pooyan Amini, Satwik Kottur, Alborz Geramifard, Meisam Razaviyayn, Ahmad Beirami
http://arxiv.org/abs/2110.11205v1

• [cs.LG]Deep Generative Models in Engineering Design: A Review
Lyle Regenwetter, Amin Heyrani Nobari, Faez Ahmed
http://arxiv.org/abs/2110.10863v1

• [cs.LG]Deep Reinforcement Learning for Online Control of Stochastic Partial Differential Equations
Erfan Pirmorad, Faraz Khoshbakhtian, Farnam Mansouri, Amir-massoud Farahmand
http://arxiv.org/abs/2110.11265v1

• [cs.LG]Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching
Shengheng Liu, Chong Zheng, Yongming Huang, Tony Q. S. Quek
http://arxiv.org/abs/2110.10349v1

• [cs.LG]Distributionally Robust Semi-Supervised Learning Over Graphs
Alireza Sadeghi, Meng Ma, Bingcong Li, Georgios B. Giannakis
http://arxiv.org/abs/2110.10582v1

• [cs.LG]Dual Encoding U-Net for Spatio-Temporal Domain Shift Frame Prediction
Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage
http://arxiv.org/abs/2110.11140v1

• [cs.LG]Dynamic Bottleneck for Robust Self-Supervised Exploration
Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
http://arxiv.org/abs/2110.10735v1

• [cs.LG]Encoding spatiotemporal priors with VAEs for small-area estimation
Elizaveta Semenova, Yidan Xu, Adam Howes, Theo Rashid, Samir Bhatt, Swapnil Mishra, Seth Flaxman
http://arxiv.org/abs/2110.10422v1

• [cs.LG]Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
Devansh Arpit, Huan Wang, Yingbo Zhou, Caiming Xiong
http://arxiv.org/abs/2110.10832v1

• [cs.LG]Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky’s Theorem
Clayton Sanford, Vaggos Chatziafratis
http://arxiv.org/abs/2110.10295v1

• [cs.LG]Fast Model Editing at Scale
Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning
http://arxiv.org/abs/2110.11309v1

• [cs.LG]FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion
Sijie Cheng, Jingwen Wu, Yanghua Xiao, Yang Liu, Yang Liu
http://arxiv.org/abs/2110.11027v1

• [cs.LG]Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins!
Vedant Shah, Gautam Shroff
http://arxiv.org/abs/2110.10233v1

• [cs.LG]Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness
Simon Geisler, Johanna Sommer, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann
http://arxiv.org/abs/2110.10942v1

• [cs.LG]Hierarchical Skills for Efficient Exploration
Jonas Gehring, Gabriel Synnaeve, Andreas Krause, Nicolas Usunier
http://arxiv.org/abs/2110.10809v1

• [cs.LG]High-resolution rainfall-runoff modeling using graph neural network
Zhongrun Xiang, Ibrahim Demir
http://arxiv.org/abs/2110.10833v1

• [cs.LG]Independent Natural Policy Gradient Always Converges in Markov Potential Games
Roy Fox, Stephen McAleer, Will Overman, Ioannis Panageas
http://arxiv.org/abs/2110.10614v1

• [cs.LG]Interpretable Machine Learning for Resource Allocation with Application to Ventilator Triage
Julien Grand-Clément, Carri Chan, Vineet Goyal, Elizabeth Chuang
http://arxiv.org/abs/2110.10994v1

• [cs.LG]Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System
Matthias Schultheis, Dominik Straub, Constantin A. Rothkopf
http://arxiv.org/abs/2110.11130v1

• [cs.LG]Is High Variance Unavoidable in RL? A Case Study in Continuous Control
Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger
http://arxiv.org/abs/2110.11222v1

• [cs.LG]Knowledge distillation from language model to acoustic model: a hierarchical multi-task learning approach
Mun-Hak Lee, Joon-Hyuk Chang
http://arxiv.org/abs/2110.10429v1

• [cs.LG]Layer-wise Adaptive Model Aggregation for Scalable Federated Learning
Sunwoo Lee, Tuo Zhang, Chaoyang He, Salman Avestimehr
http://arxiv.org/abs/2110.10302v1

• [cs.LG]Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles
Bram Wallace, Devansh Arpit, Huan Wang, Caiming Xiong
http://arxiv.org/abs/2110.10293v1

• [cs.LG]Learning Time-Varying Graphs from Online Data
Alberto Natali, Elvin Isufi, Mario Coutino, Geert Leus
http://arxiv.org/abs/2110.11017v1

• [cs.LG]Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting
Hyunwook Lee, Seungmin Jin, Hyeshin Chu, Hongkyu Lim, Sungahn Ko
http://arxiv.org/abs/2110.10380v1

• [cs.LG]Memory Efficient Adaptive Attention For Multiple Domain Learning
Himanshu Pradeep Aswani, Abhiraj Sunil Kanse, Shubhang Bhatnagar, Amit Sethi
http://arxiv.org/abs/2110.10969v1

• [cs.LG]Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond
Chulhee Yun, Shashank Rajput, Suvrit Sra
http://arxiv.org/abs/2110.10342v1

• [cs.LG]Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data?
Amin Banitalebi-Dehkordi, Xinyu Kang, Yong Zhang
http://arxiv.org/abs/2110.10369v1

• [cs.LG]Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment
Alyssa Kody, Samuel Chevalier, Spyros Chatzivasileiadis, Daniel Molzahn
http://arxiv.org/abs/2110.11269v1

• [cs.LG]More Efficient Exploration with Symbolic Priors on Action Sequence Equivalences
Toby Johnstone, Nathan Grinsztajn, Johan Ferret, Philippe Preux
http://arxiv.org/abs/2110.10632v1

• [cs.LG]Multi-concept adversarial attacks
Vibha Belavadi, Yan Zhou, Murat Kantarcioglu, Bhavani M. Thuraisingham
http://arxiv.org/abs/2110.10287v1

• [cs.LG]NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters
Yoichi Hirose, Nozomu Yoshinari, Shinichi Shirakawa
http://arxiv.org/abs/2110.10165v1

• [cs.LG]Neural Stochastic Partial Differential Equations
Cristopher Salvi, Maud Lemercier
http://arxiv.org/abs/2110.10249v1

• [cs.LG]On Hard Episodes in Meta-Learning
Samyadeep Basu, Amr Sharaf, Nicolo Fusi, Soheil Feizi
http://arxiv.org/abs/2110.11190v1

• [cs.LG]On games and simulators as a platform for development of artificial intelligence for command and control
Vinicius G. Goecks, Nicholas Waytowich, Derrik E. Asher, Song Jun Park, Mark Mittrick, John Richardson, Manuel Vindiola, Anne Logie, Mark Dennison, Theron Trout, Priya Narayanan, Alexander Kott
http://arxiv.org/abs/2110.11305v1

• [cs.LG]On some theoretical limitations of Generative Adversarial Networks
Benoît Oriol, Alexandre Miot
http://arxiv.org/abs/2110.10915v1

• [cs.LG]One-Shot Transfer Learning of Physics-Informed Neural Networks
Shaan Desai, Marios Mattheakis, Hayden Joy, Pavlos Protopapas, Stephen Roberts
http://arxiv.org/abs/2110.11286v1

• [cs.LG]One-Step Abductive Multi-Target Learning with Diverse Noisy Samples
Yongquan Yang
http://arxiv.org/abs/2110.10325v1

• [cs.LG]OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis
Animesh Basak Chowdhury, Benjamin Tan, Ramesh Karri, Siddharth Garg
http://arxiv.org/abs/2110.11292v1

• [cs.LG]PPFS: Predictive Permutation Feature Selection
Atif Hassan, Jiaul H. Paik, Swanand Khare, Syed Asif Hassan
http://arxiv.org/abs/2110.10713v1

• [cs.LG]Part-X: A Family of Stochastic Algorithms for Search-Based Test Generation with Probabilistic Guarantees
Giulia Pedrielli, Tanmay Kandhait, Surdeep Chotaliya, Quinn Thibeault, Hao Huang, Mauricio Castillo-Effen, Georgios Fainekos
http://arxiv.org/abs/2110.10729v1

• [cs.LG]Principal Component Analysis versus Factor Analysis
Zenon Gniazdowski
http://arxiv.org/abs/2110.11261v1

• [cs.LG]Propensity-scored Probabilistic Label Trees
Marek Wydmuch, Kalina Jasinska-Kobus, Rohit Babbar, Krzysztof Dembczyński
http://arxiv.org/abs/2110.10803v1

• [cs.LG]ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies
Yu Shen, Yang Li, Jian Zheng, Wentao Zhang, Peng Yao, Jixiang Li, Sen Yang, Ji Liu, Cui Bin
http://arxiv.org/abs/2110.10423v1

• [cs.LG]Quantum field theories, Markov random fields and machine learning
Dimitrios Bachtis, Gert Aarts, Biagio Lucini
http://arxiv.org/abs/2110.10928v1

• [cs.LG]Ranking and Tuning Pre-trained Models: A New Paradigm of Exploiting Model Hubs
Kaichao You, Yong Liu, Jianmin Wang, Michael I. Jordan, Mingsheng Long
http://arxiv.org/abs/2110.10545v1

• [cs.LG]Reconstruction of Fragmented Trajectories of Collective Motion using Hadamard Deep Autoencoders
Kelum Gajamannage, Yonggi Park, Randy Paffenroth, Anura P. Jayasumana
http://arxiv.org/abs/2110.10428v1

• [cs.LG]RoMA: a Method for Neural Network Robustness Measurement and Assessment
Natan Levy, Guy Katz
http://arxiv.org/abs/2110.11088v1

• [cs.LG]RoQNN: Noise-Aware Training for Robust Quantum Neural Networks
Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, Frederic T. Chong, David Z. Pan, Song Han
http://arxiv.org/abs/2110.11331v1

• [cs.LG]Robust Semi-Supervised Classification using GANs with Self-Organizing Maps
Ronald Fick, Paul Gader, Alina Zare
http://arxiv.org/abs/2110.10286v1

• [cs.LG]Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover
Wei Pu, Chao Zhou, Yonina C. Eldar, Miguel R. D. Rodrigues
http://arxiv.org/abs/2110.10391v1

• [cs.LG]SEA: Graph Shell Attention in Graph Neural Networks
Christian M. M. Frey, Yunpu Ma, Matthias Schubert
http://arxiv.org/abs/2110.10674v1

• [cs.LG]Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation
Ross M. Clarke, Elre T. Oldewage, José Miguel Hernández-Lobato
http://arxiv.org/abs/2110.10461v1

• [cs.LG]SecureBoost+ : A High Performance Gradient Boosting Tree Framework for Large Scale Vertical Federated Learning
Weijing Chen, Guoqiang Ma, Tao Fan, Yan Kang, Qian Xu, Qiang Yang
http://arxiv.org/abs/2110.10927v1

• [cs.LG]Self-Supervised Visual Representation Learning Using Lightweight Architectures
Prathamesh Sonawane, Sparsh Drolia, Saqib Shamsi, Bhargav Jain
http://arxiv.org/abs/2110.11160v1

• [cs.LG]Sensing Cox Processes via Posterior Sampling and Positive Bases
Mojmír Mutný, Andreas Krause
http://arxiv.org/abs/2110.11181v1

• [cs.LG]Shaking the foundations: delusions in sequence models for interaction and control
Pedro A. Ortega, Markus Kunesch, Grégoire Delétang, Tim Genewein, Jordi Grau-Moya, Joel Veness, Jonas Buchli, Jonas Degrave, Bilal Piot, Julien Perolat, Tom Everitt, Corentin Tallec, Emilio Parisotto, Tom Erez, Yutian Chen, Scott Reed, Marcus Hutter, Nando de Freitas, Shane Legg
http://arxiv.org/abs/2110.10819v1

• [cs.LG]Sliced-Wasserstein Gradient Flows
Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz
http://arxiv.org/abs/2110.10972v1

• [cs.LG]Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences
Alain Rakotomamonjy, Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso
http://arxiv.org/abs/2110.10524v1

• [cs.LG]Subspace Detours Meet Gromov-Wasserstein
Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz
http://arxiv.org/abs/2110.10932v1

• [cs.LG]Survival-oriented embeddings for improving accessibility to complex data structures
Tobias Weber, Michael Ingrisch, Matthias Fabritius, Bernd Bischl, David Rügamer
http://arxiv.org/abs/2110.11303v1

• [cs.LG]Test time Adaptation through Perturbation Robustness
Prabhu Teja Sivaprasad, François Fleuret
http://arxiv.org/abs/2110.10232v1

• [cs.LG]The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding
Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry
http://arxiv.org/abs/2110.10221v1

• [cs.LG]Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation
Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rügamer
http://arxiv.org/abs/2110.11312v1

• [cs.LG]Towards strong pruning for lottery tickets with non-zero biases
Jonas Fischer, Rebekka Burkholz
http://arxiv.org/abs/2110.11150v1

• [cs.LG]Transductive Robust Learning Guarantees
Omar Montasser, Steve Hanneke, Nathan Srebro
http://arxiv.org/abs/2110.10602v1

• [cs.LG]Transformer Acceleration with Dynamic Sparse Attention
Liu Liu, Zheng Qu, Zhaodong Chen, Yufei Ding, Yuan Xie
http://arxiv.org/abs/2110.11299v1

• [cs.LG]User-Level Private Learning via Correlated Sampling
Badih Ghazi, Ravi Kumar, Pasin Manurangsi
http://arxiv.org/abs/2110.11208v1

• [cs.LG]Using NASA Satellite Data Sources and Geometric Deep Learning to Uncover Hidden Patterns in COVID-19 Clinical Severity
Ignacio Segovia-Dominguez, Huikyo Lee, Zhiwei Zhen, Yuzhou Chen, Michael Garay, Daniel Crichton, Rishabh Wagh, Yulia R. Gel
http://arxiv.org/abs/2110.10849v1

• [cs.LG]Variational Predictive Routing with Nested Subjective Timescales
Alexey Zakharov, Qinghai Guo, Zafeirios Fountas
http://arxiv.org/abs/2110.11236v1

• [cs.LG]Watermarking Graph Neural Networks based on Backdoor Attacks
Jing Xu, Stjepan Picek
http://arxiv.org/abs/2110.11024v1

• [cs.LG]What Averages Do Not Tell — Predicting Real Life Processes with Sequential Deep Learning
István Ketykó, Felix Mannhardt, Marwan Hassani, Boudewijn van Dongen
http://arxiv.org/abs/2110.10225v1

• [cs.LG]When in Doubt, Summon the Titans: Efficient Inference with Large Models
Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Amr Ahmed, Sanjiv Kumar
http://arxiv.org/abs/2110.10305v1

• [cs.LG]fairadapt: Causal Reasoning for Fair Data Pre-processing
Drago Plečko, Nicolas Bennett, Nicolai Meinshausen
http://arxiv.org/abs/2110.10200v1

• [cs.LO]Applying Second-Order Quantifier Elimination in Inspecting Gödel’s Ontological Proof
Christoph Wernhard
http://arxiv.org/abs/2110.11108v1

• [cs.NE]An Adaptive Sampling and Edge Detection Approach for Encoding Static Images for Spiking Neural Networks
Peyton Chandarana, Junlin Ou, Ramtin Zand
http://arxiv.org/abs/2110.10217v1

• [cs.NE]Chaos inspired Particle Swarm Optimization with Levy Flight for Genome Sequence Assembly
Sehej Jain, Kusum Kumari Bharti
http://arxiv.org/abs/2110.10623v1

• [cs.NE]Frontiers in Evolutionary Computation: A Workshop Report
Tyler Millhouse, Melanie Moses, Melanie Mitchell
http://arxiv.org/abs/2110.10320v1

• [cs.NE]Heritability in Morphological Robot Evolution
Matteo De Carlo, Eliseo Ferrante, Daan Zeeuwe, Jacintha Ellers, Gerben Meynen, A. E. Eiben
http://arxiv.org/abs/2110.11187v1

• [cs.NI]A Decentralized Framework for Serverless Edge Computing in the Internet of Things
Claudio Cicconetti, Marco Conti, Andrea Passarella
http://arxiv.org/abs/2110.10974v1

• [cs.NI]Colosseum: Large-Scale Wireless Experimentation Through Hardware-in-the-Loop Network Emulation
Leonardo Bonati, Pedram Johari, Michele Polese, Salvatore D’Oro, Subhramoy Mohanti, Miead Tehrani-Moayyed, Davide Villa, Shweta Shrivastava, Chinenye Tassie, Kurt Yoder, Ajeet Bagga, Paresh Patel, Ventz Petkov, Michael Seltser, Francesco Restuccia, Abhimanyu Gosain, Kaushik R. Chowdhury, Stefano Basagni, Tommaso Melodia
http://arxiv.org/abs/2110.10617v1

• [cs.PL]Synthesizing Optimal Parallelism Placement and Reduction Strategies on Hierarchical Systems for Deep Learning
Ningning Xie, Tamara Norman, Dominik Grewe, Dimitrios Vytiniotis
http://arxiv.org/abs/2110.10548v1

• [cs.RO]A Fast Planning Approach for 3D Short Trajectory with a Parallel Framework
Han Chen, Shengyang Chen, Peng Lu, Chih-Yung Wen
http://arxiv.org/abs/2110.10376v1

• [cs.RO]A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction in Autonomous Driving
Jianbang Liu, Xinyu Mao, Yuqi Fang, Delong Zhu, Max Q. -H. Meng
http://arxiv.org/abs/2110.10436v1

• [cs.RO]CobotAR: Interaction with Robots using Omnidirectionally Projected Image and DNN-based Gesture Recognition
Nazarova Elena, Sautenkov Oleg, Altamirano Cabrera Miguel, Tirado Jonathan, Serpiva Valerii, Rakhmatulin Viktor, Tsetserukou Dzmitry
http://arxiv.org/abs/2110.10571v1

• [cs.RO]Control of Humanoid in Multiple Fixed and Moving Unilateral Contacts
Julien Roux, Saeid Samadi, Eisoku Kuroiwa, Takahide Yoshiike, Abderrahmane Kheddar
http://arxiv.org/abs/2110.11137v1

• [cs.RO]DVIO: Depth aided visual inertial odometry for RGBD sensors
Abhishek Tyagi, Yangwen Liang, Shuangquan Wang, Dongwoon Bai
http://arxiv.org/abs/2110.10805v1

• [cs.RO]Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information
Jin Li, Xianyuan Zhan, Zixu Xiao, Guyue Zhou
http://arxiv.org/abs/2110.10905v1

• [cs.RO]Fuzzy-Depth Objects Grasping Based on FSG Algorithm and a Soft Robotic Hand
Hanwen Cao, Junda Huang, Yichuan Li, Jianshu Zhou, Yunhui Liu
http://arxiv.org/abs/2110.10924v1

• [cs.RO]Hierarchical Multi-robot Strategies Synthesis and Optimization under Individual and Collaborative Temporal Logic Specifications
Ruofei Bai, Ronghao Zheng, Yang Xu, Meiqin Liu, Senlin Zhang
http://arxiv.org/abs/2110.11162v1

• [cs.RO]Incorporating Rich Social Interactions Into MDPs
Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu
http://arxiv.org/abs/2110.10298v1

• [cs.RO]InterpolationSLAM: A Novel Robust Visual SLAM System in Rotational Motion
Zhenkun Zhu, Jikai Wang
http://arxiv.org/abs/2110.11040v1

• [cs.RO]Learning Robotic Manipulation Skills Using an Adaptive Force-Impedance Action Space
Maximilian Ulmer, Elie Aljalbout, Sascha Schwarz, Sami Haddadin
http://arxiv.org/abs/2110.09904v2

• [cs.RO]Motion Planning for Connected Automated Vehicles at Occluded Intersections With Infrastructure Sensors
Johannes Müller, Jan Strohbeck, Martin Herrmann, Michael Buchholz
http://arxiv.org/abs/2110.11246v1

• [cs.RO]Optimal Sequential Stochastic Deployment of Multiple Passenger Robots
Chris, Lee, Graeme Best, Geoffrey A. Hollinger
http://arxiv.org/abs/2110.10236v1

• [cs.RO]Periodic DMP formulation for Quaternion Trajectories
Fares J. Abu-Dakka, Matteo Saveriano, Luka Peternel
http://arxiv.org/abs/2110.10510v1

• [cs.RO]Quadrotor Trajectory Tracking with Learned Dynamics: Joint Koopman-based Learning of System Models and Function Dictionaries
Carl Folkestad, Skylar X. Wei, Joel W. Burdick
http://arxiv.org/abs/2110.10341v1

• [cs.RO]ReachBot: A Small Robot for Large Mobile Manipulation Tasks
Stephanie Schneider, Andrew Bylard, Tony G. Chen, Preston Wang, Mark Cutkosky, Marco Pavone
http://arxiv.org/abs/2110.10829v1

• [cs.RO]Real-time Identification and Simultaneous Avoidance of Static and Dynamic Obstacles on Point Cloud for UAVs Navigation
Han Chen, Peng Lu
http://arxiv.org/abs/2110.10360v1

• [cs.RO]Resilient Time-Varying Formation Tracking for Mobile Robot Networks under Deception Attacks on Positioning
Yen-Chen Liu, Kai-Yuan Liu, Zhuoyuan Song
http://arxiv.org/abs/2110.10678v1

• [cs.RO]Robust Control of a Multi-Axis Shape Memory Alloy-Driven Soft Manipulator
Zach J. Patterson, Andrew P. Sabelhaus, Carmel Majidi
http://arxiv.org/abs/2110.10022v2

• [cs.RO]Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation
Kürsat Petek, Kshitij Sirohi, Daniel Büscher, Wolfram Burgard
http://arxiv.org/abs/2110.10563v1

• [cs.RO]Semantic Sensing and Planning for Human-Robot Collaboration in Uncertain Environments
Luke Burks, Hunter M. Ray, Jamison McGinley, Sousheel Vunnam, Nisar Ahmed
http://arxiv.org/abs/2110.10324v1

• [cs.RO]Stochastic Assignment for Deploying Multiple Marsupial Robots
Chris, Lee, Graeme Best, Geoffrey A. Hollinger
http://arxiv.org/abs/2110.10237v1

• [cs.RO]StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects
Weiyu Liu, Chris Paxton, Tucker Hermans, Dieter Fox
http://arxiv.org/abs/2110.10189v1

• [cs.RO]WareVR: Virtual Reality Interface for Supervision of Autonomous Robotic System Aimed at Warehouse Stocktaking
Ivan Kalinov, Daria Trinitatova, Dzmitry Tsetserukou
http://arxiv.org/abs/2110.11052v1

• [cs.SD]An Investigation of Enhancing CTC Model for Triggered Attention-based Streaming ASR
Huaibo Zhao, Yosuke Higuchi, Tetsuji Ogawa, Tetsunori Kobayashi
http://arxiv.org/abs/2110.10402v1

• [cs.SD]Optimizing Multi-Taper Features for Deep Speaker Verification
Xuechen Liu, Md Sahidullah, Tomi Kinnunen
http://arxiv.org/abs/2110.10983v1

• [cs.SD]Time-Domain Mapping Based Single-Channel Speech Separation With Hierarchical Constraint Training
Chenyang Gao, Yue Gu, Ivan Marsic
http://arxiv.org/abs/2110.10593v1

• [cs.SE]DeLag: Detecting Latency Degradation Patterns in Service-based Systems
Luca Traini, Vittorio Cortellessa
http://arxiv.org/abs/2110.11155v1

• [cs.SE]JavaBERT: Training a transformer-based model for the Java programming language
Nelson Tavares de Sousa, Wilhelm Hasselbring
http://arxiv.org/abs/2110.10404v1

• [cs.SE]More Engineering, No Silos: Rethinking Processes and Interfaces in Collaboration between Interdisciplinary Teams for Machine Learning Projects
Nadia Nahar, Shurui Zhou, Grace Lewis, Christian Kästner
http://arxiv.org/abs/2110.10234v1

• [cs.SI]A Python Package to Detect Anti-Vaccine Users on Twitter
Matheus Schmitz, Goran Murić, Keith Burghardt
http://arxiv.org/abs/2110.11333v1

• [cs.SI]Adversarial Socialbot
8000
Learning via Multi-Agent Deep Hierarchical Reinforcement Learning
Thai Le, Long Tran-Thanh, Dongwon Lee
http://arxiv.org/abs/2110.10655v1

• [cs.SI]Multi-Stage Network Embedding for Exploring Heterogeneous Edges
Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, Hai Jin
http://arxiv.org/abs/2110.10347v1

• [cs.SI]Privacy-Aware Identity Cloning Detection based on Deep Forest
Ahmed Alharbi, Hai Dong, Xun Yi, Prabath Abeysekara
http://arxiv.org/abs/2110.10897v1

• [cs.SI]Temporal Motifs in Patent Opposition and Collaboration Networks
Penghang Liu, Naoki Masuda, Tomomi Kito, A. Erdem Sarıyüce
http://arxiv.org/abs/2110.11198v1

• [cs.SI]Using a market basket analysis in tourism studies
Damjan Vavpotič, Karmen Knavs, Ljubica Knežević Cvelbar
http://arxiv.org/abs/2110.10679v1

• [econ.EM]One Instrument to Rule Them All: The Bias and Coverage of Just-ID IV
Joshua Angrist, Michal Kolesár
http://arxiv.org/abs/2110.10556v1

• [eess.AS]REAL-M: Towards Speech Separation on Real Mixtures
Cem Subakan, Mirco Ravanelli, Samuele Cornell, François Grondin
http://arxiv.org/abs/2110.10812v1

• [eess.IV]2020 CATARACTS Semantic Segmentation Challenge
Imanol Luengo, Maria Grammatikopoulou, Rahim Mohammadi, Chris Walsh, Chinedu Innocent Nwoye, Deepak Alapatt, Nicolas Padoy, Zhen-Liang Ni, Chen-Chen Fan, Gui-Bin Bian, Zeng-Guang Hou, Heonjin Ha, Jiacheng Wang, Haojie Wang, Dong Guo, Lu Wang, Guotai Wang, Mobarakol Islam, Bharat Giddwani, Ren Hongliang, Theodoros Pissas, Claudio Ravasio Martin Huber, Jeremy Birch, Joan M. Nunez Do Rio, Lyndon da Cruz, Christos Bergeles, Hongyu Chen, Fucang Jia, Nikhil KumarTomar, Debesh Jha, Michael A. Riegler, Pal Halvorsen, Sophia Bano, Uddhav Vaghela, Jianyuan Hong, Haili Ye, Feihong Huang, Da-Han Wang, Danail Stoyanov
http://arxiv.org/abs/2110.10965v1

• [eess.IV]A New Automatic Change Detection Frame-work Based on Region Growing and Weighted Local Mutual Information: Analysis of Breast Tumor Response to Chemotherapy in Serial MR Images
Narges Norouzi, Reza Azmi, Nooshin Noshiri, Robab Anbiaee
http://arxiv.org/abs/2110.10242v1

• [eess.IV]AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation
Xiangyi Yan, Hao Tang, Shanlin Sun, Haoyu Ma, Deying Kong, Xiaohui Xie
http://arxiv.org/abs/2110.10403v1

• [eess.IV]CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images
Xin Zhang, Liangxiu Han, Tam Sobeih, Lianghao Han, Nina Dempsey, Symeon Lechareas, Ascanio Tridente, Haoming Chen, Stephen White
http://arxiv.org/abs/2110.10813v1

• [eess.IV]Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs
Avinash Baidya, Joel Dapello, James J. DiCarlo, Tiago Marques
http://arxiv.org/abs/2110.10645v1

• [eess.IV]Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes using Normalized Gradient Fields
Johan Öfverstedt, Joakim Lindblad, Nataša Sladoje
http://arxiv.org/abs/2110.10156v1

• [eess.IV]Deep Learning for HDR Imaging: State-of-the-Art and Future Trends
Lin Wang, Kuk-Jin Yoon
http://arxiv.org/abs/2110.10394v1

• [eess.IV]Development and accuracy evaluation of Coded Phase-shift 3D scanner
Pranav Kant Gaur, D. M. Sarode, S. K. Bose
http://arxiv.org/abs/2110.10520v1

• [eess.IV]Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural Networks
Zongyuan Ge, Xin Wang
http://arxiv.org/abs/2110.10888v1

• [eess.IV]Evaluation of augmentation methods in classifying autism spectrum disorders from fMRI data with 3D convolutional neural networks
Johan Jönemo, David Abramian, Anders Eklund
http://arxiv.org/abs/2110.10489v1

• [eess.IV]Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification
Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu
http://arxiv.org/abs/2110.10383v1

• [eess.IV]Medical Knowledge-Guided Deep Curriculum Learning for Elbow Fracture Diagnosis from X-Ray Images
Jun Luo, Gene Kitamura, Emine Doganay, Dooman Arefan, Shandong Wu
http://arxiv.org/abs/2110.10381v1

• [eess.IV]OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data
Christoph Reich, Tim Prangemeier, Özdemir Cetin, Heinz Koeppl
http://arxiv.org/abs/2110.10640v1

• [eess.IV]Spectral Variability Augmented Sparse Unmixing of Hyperspectral Images
Ge Zhang, Shaohui Mei, Mingyang Ma, Yan Feng, Qian Du
http://arxiv.org/abs/2110.09744v2

• [eess.IV]Toward Real-world Image Super-resolution via Hardware-based Adaptive Degradation Models
Rui Ma, Johnathan Czernik, Xian Du
http://arxiv.org/abs/2110.10755v1

• [eess.IV]Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks
Abhishek Singh Sambyal, Narayanan C. Krishnan, Deepti R. Bathula
http://arxiv.org/abs/2110.11012v1

• [eess.SP]Ambiguities in Direction-of-Arrival Estimation with Linear Arrays
Frederic Matter, Tobias Fischer, Marius Pesavento, Marc E. Pfetsch
http://arxiv.org/abs/2110.10756v1

• [eess.SP]Improving Channel Charting using a Split Triplet Loss and an Inertial Regularizer
Brian Rappaport, Emre Gönültaş, Jakob Hoydis, Maximilian Arnold, Pavan Koteshwar Srinath, Christoph Studer
http://arxiv.org/abs/2110.11279v1

• [eess.SP]Patch Based Transformation for Minimum Variance Beamformer Image Approximation Using Delay and Sum Pipeline
Sairoop Bodepudi, A N Madhavanunni, Mahesh Raveendranatha Panicker
http://arxiv.org/abs/2110.10220v1

• [eess.SY]Random-Fuzzy Dual Interpretation of Unknown Quantity for Estimation & Recognition: with Demonstration of IMM Filter
Wei Mei
http://arxiv.org/abs/2110.10572v1

• [eess.SY]Transferring Reinforcement Learning for DC-DC Buck Converter Control via Duty Ratio Mapping: From Simulation to Implementation
Chenggang Cui, Tianxiao Yang, Yuxuan Dai, Chuanlin Zhang
http://arxiv.org/abs/2110.10490v1

• [math.AG]How arithmetic and geometry make error correcting codes better
Alain Couvreur
http://arxiv.org/abs/2110.11282v1

• [math.FA]Generalized Bures-Wasserstein Geometry for Positive Definite Matrices
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao
http://arxiv.org/abs/2110.10464v1

• [math.NA]Finite Volume Least-Squares Neural Network (FV-LSNN) Method for Scalar Nonlinear Hyperbolic Conservation Laws
Zhiqiang Cai, Jingshuang Chen, Min Liu
http://arxiv.org/abs/2110.10895v1

• [math.OC]Computing Semilinear Sparse Models for Approximately Eventually Periodic Signals
Fredy Vides
http://arxiv.org/abs/2110.08966v2

• [math.OC]Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods
Baturalp Yalcin, Haixiang Zhang, Javad Lavaei, Somayeh Sojoudi
http://arxiv.org/abs/2110.10279v1

• [math.OC]Faster Algorithm and Sharper Analysis for Constrained Markov Decision Process
Tianjiao Li, Ziwei Guan, Shaofeng Zou, Tengyu Xu, Yingbin Liang, Guanghui Lan
http://arxiv.org/abs/2110.10351v1

• [math.OC]Feedback Linearization of Car Dynamics for Racing via Reinforcement Learning
Michael Estrada, Sida Li, Xiangyu Cai
http://arxiv.org/abs/2110.10441v1

• [math.OC]Stochastic Learning Rate Optimization in the Stochastic Approximation and Online Learning Settings
Theodoros Mamalis, Dusan Stipanovic, Petros Voulgaris
http://arxiv.org/abs/2110.10710v1

• [math.OC]Theoretical Advances in Current Estimation and Navigation from a Glider-Based Acoustic Doppler Current Profiler (ADCP)
Jacob Stevens-Haas, Sarah E. Webster, Aleksandr Aravkin
http://arxiv.org/abs/2110.10199v1

• [math.PR]Long Random Matrices and Tensor Unfolding
Gérard Ben Arous, Daniel Zhengyu Huang, Jiaoyang Huang
http://arxiv.org/abs/2110.10210v1

• [math.ST]A Deep Generative Approach to Conditional Sampling
Xingyu Zhou, Yuling Jiao, Jin Liu, Jian Huang
http://arxiv.org/abs/2110.10277v1

• [math.ST]Optimal partition recovery in general graphs
Yi Yu, Oscar Hernan Madrid Padilla, Alessandro Rinaldo
http://arxiv.org/abs/2110.10989v1

• [math.ST]Optimal trading: a model predictive control approach
Simon Clinet, Jean-François Perreton, Serge Reydellet
http://arxiv.org/abs/2110.11008v1

• [math.ST]Regret Minimization in Isotonic, Heavy-Tailed Contextual Bandits via Adaptive Confidence Bands
Sabyasachi Chatterjee, Subhabrata Sen
http://arxiv.org/abs/2110.10245v1

• [math.ST]The Performance of the MLE in the Bradley-Terry-Luce Model in -Loss and under General Graph Topologies
Wanshan Li, Shamindra Shrotriya, Alessandro Rinaldo
http://arxiv.org/abs/2110.10825v1

• [math.ST]U-statistic based on overlapping sample spacings
Rahul Singh, Neeraj Misra
http://arxiv.org/abs/2110.10737v1

• [physics.app-ph]Semi-supervised physics guided DL framework for predicting the I-V characteristics of GAN HEMT
Shivanshu Mishra, Bipin Gaikwad, Nidhi Chaturvedi
http://arxiv.org/abs/2110.10724v1

• [physics.med-ph]Artificial Intelligence-Based Detection, Classification and Prediction/Prognosis in PET Imaging: Towards Radiophenomics
Fereshteh Yousefirizi, Pierre Decasez, Amine Amyar, Su Ruan, Babak Saboury, Arman Rahmim
http://arxiv.org/abs/2110.10332v1

• [physics.med-ph]Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy
Jianfeng Wu, Wenhui Zhu, Yi Su, Jie Gui, Natasha Lepore, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Kewei Chen, Yalin Wang
http://arxiv.org/abs/2110.10709v1

• [quant-ph]Learning quantum dynamics with latent neural ODEs
Matthew Choi, Daniel Flam-Shepherd, Thi Ha Kyaw, Alán Aspuru-Guzik
http://arxiv.org/abs/2110.10721v1

• [stat.AP]A Bayesian Solution to Inverse Problem for Circadian Cycles
Youngdeok Hwang, Hang J. Kim, Won Chang, Christian Hong, Steve N. MacEachern
http://arxiv.org/abs/2110.10604v1

• [stat.AP]Adaptive Learning on Time Series: Method and Financial Applications
Parley Ruogu Yang, Ryan Lucas, Camilla Schelpe
http://arxiv.org/abs/2110.11156v1

• [stat.AP]An application of a small area procedure with correlation between measurement error and sampling error to the Conservation Effects Assessment Project
Emily Berg, Sepideh Mosaferi
http://arxiv.org/abs/2110.10272v1

• [stat.AP]Bayesian spatial voting model to characterize the legislative behavior of the Colombian S
6ef
enate 2010-2014
Carolina Luque, Juan Sosa
http://arxiv.org/abs/2110.10250v1

• [stat.AP]Functional Boxplots for Outlier Detection in Additive Manufacturing
Ahmad Mozaffari, Shojaeddin Chenouri, Ehsan Toyserkani, Usman Ali
http://arxiv.org/abs/2110.10867v1

• [stat.AP]On the association between COVID-19 vaccination levels and incidence and lethality rates at a regional scale in Spain
Álvaro Briz-Redón, Ángel Serrano-Aroca
http://arxiv.org/abs/2110.10439v1

• [stat.CO]BNPdensity: Bayesian nonparametric mixture modeling in R
Julyan Arbel, Guillaume Kon Kam King, Antonio Lijoi, Luis Enrique Nieto-Barajas, Igor Prünster
http://arxiv.org/abs/2110.10019v2

• [stat.CO]Simulating time-to-event data from parametric distributions, custom distributions, competing risk models and general multi-state models
Michael J. Crowther
http://arxiv.org/abs/2110.10414v1

• [stat.ME]A Bayesian Approach for the Variance of Fine Stratification
Sepideh Mosaferi
http://arxiv.org/abs/2110.10296v1

• [stat.ME]A Critique of a Variety of “Memory-Based’’ Process Monitoring Methods
Sven Knoth, Nesma A. Saleh, Mahmoud A. Mahmoud, William H. Woodall, Victor G. Tercero-Gomez
http://arxiv.org/abs/2110.10680v1

• [stat.ME]A Gentle Introduction to Bayesian Hierarchical Linear Regression Models
Juan Sosa, Jeimy Aristizabal
http://arxiv.org/abs/2110.10565v1

• [stat.ME]A matching framework for truncation by death problems
Tamir Zehavi, Daniel Nevo
http://arxiv.org/abs/2110.10186v1

• [stat.ME]Addressing Positivity Violations in Causal Effect Estimation using Gaussian Process Priors
Yaqian Zhu, Nandita Mitra, Jason Roy
http://arxiv.org/abs/2110.10266v1

• [stat.ME]An Efficient Scheme for Sampling in Constrained Domains
Sharang Chaudhry, Daniel Lautzenheiser, Kaushik Ghosh
http://arxiv.org/abs/2110.10840v1

• [stat.ME]Asymptotics of cut distributions and robust modular inference using Posterior Bootstrap
Emilia Pompe, Pierre E. Jacob
http://arxiv.org/abs/2110.11149v1

• [stat.ME]Bayesian Approach to Two-Stage Randomized Experiments in the Presence of Interference and Noncompliance
Yuki Ohnishi, Arman Sabbaghi
http://arxiv.org/abs/2110.10216v1

• [stat.ME]CIMTx: An R package for causal inference with multiple treatments using observational data
Liangyuan Hu, Jiayi Ji
http://arxiv.org/abs/2110.10276v1

• [stat.ME]DIF Statistical Inference and Detection without Knowing Anchoring Items
Yunxiao Chen, Chengcheng Li, Gongjun Xu
http://arxiv.org/abs/2110.11112v1

• [stat.ME]Discrete Teissier distribution: properties, estimation and application
Bhupendra Singh, Varun Agiwal, Ravindra Pratap Singh, Abhishek Tyagi
http://arxiv.org/abs/2110.10443v1

• [stat.ME]Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning
Wenzhuo Zhou, Ruoqing Zhu, Annie Qu
http://arxiv.org/abs/2110.10719v1

• [stat.ME]Hyperspherical Dirac Mixture Reapproximation
Kailai Li, Florian Pfaff, Uwe D. Hanebeck
http://arxiv.org/abs/2110.10411v1

• [stat.ME]Incremental causal effects: an introduction and review
Matteo Bonvini, Alec McClean, Zach Branson, Edward H. Kennedy
http://arxiv.org/abs/2110.10532v1

• [stat.ME]Individualized Decision-Making Under Partial Identification: Three Perspectives, Two Optimality Results, and One Paradox
Yifan Cui
http://arxiv.org/abs/2110.10961v1

• [stat.ME]Joint Gaussian Graphical Model Estimation: A Survey
Katherine Tsai, Oluwasanmi Koyejo, Mladen Kolar
http://arxiv.org/abs/2110.10281v1

• [stat.ME]Local Statistics for Spatial Panel Models with Application to the US Electorate
Jianfeng Wang, Adam B Kashlak
http://arxiv.org/abs/2110.10622v1

• [stat.ME]Machine learning approaches to identify thresholds in a heat-health warning system context
Pierre Masselot, Fateh Chebana, Céline Campagna, Eric Lavigne, Taha B. M. J. Ouarda, Pierre Gosselin
http://arxiv.org/abs/2110.10625v1

• [stat.ME]On Multiply Robust Mendelian Randomization (MR) With Many Invalid Genetic Instruments
Baoluo Sun, Zhonghua Liu, Eric Tchetgen Tchetgen
http://arxiv.org/abs/2110.10615v1

• [stat.ME]Operator-induced structural variable selection with applications to materials genomes
Shengbin Ye, Thomas P. Senftle, Meng Li
http://arxiv.org/abs/2110.10195v1

• [stat.ME]Regularized Estimating Equations from the Fixed-point and Variational Inequality Perspectives
Yi Yang, Yuwen Gu, Yue Zhao, Jun Fan
http://arxiv.org/abs/2110.11074v1

• [stat.ME]Retarded kernels for longitudinal survival analysis and dynamic prediction
Annabel L. Davies, Anthony C. C. Coolen, Tobias Galla
http://arxiv.org/abs/2110.11196v1

• [stat.ME]Reversible Genetically Modified Mode Jumping MCMC
Aliaksandr Hubin, Florian Frommlet, Geir Storvik
http://arxiv.org/abs/2110.05316v2

• [stat.ME]Variable selection in doubly truncated regression
Ming Zheng, Chanjuan Lin, Wen Yu
http://arxiv.org/abs/2110.10393v1

• [stat.ML]Adversarial attacks against Bayesian forecasting dynamic models
Roi Naveiro
http://arxiv.org/abs/2110.10783v1

• [stat.ML]Computational Graph Completion
Houman Owhadi
http://arxiv.org/abs/2110.10323v1

• [stat.ML]Data splitting improves statistical performance in overparametrized regimes
Nicole Mücke, Enrico Reiss, Jonas Rungenhagen, Markus Klein
http://arxiv.org/abs/2110.10956v1

• [stat.ML]Identifiable Variational Autoencoders via Sparse Decoding
Gemma E. Moran, Dhanya Sridhar, Yixin Wang, David M. Blei
http://arxiv.org/abs/2110.10804v1

• [stat.ML]Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality
Ning Ning, Edward L. Ionides
http://arxiv.org/abs/2110.10745v1

• [stat.ML]Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory
Tianrong Chen, Guan-Horng Liu, Evangelos A. Theodorou
http://arxiv.org/abs/2110.11291v1

• [stat.ML]Mean Nyström Embeddings for Adaptive Compressive Learning
Antoine Chatalic, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
http://arxiv.org/abs/2110.10996v1

• [stat.ML]On Optimal Interpolation In Linear Regression
Eduard Oravkin, Patrick Rebeschini
http://arxiv.org/abs/2110.11258v1

• [stat.ML]Online non-parametric change-point detection for heterogeneous data streams observed over graph nodes
Alejandro de la Concha, Argyris Kalogeratos, Nicolas Vayatis
http://arxiv.org/abs/2110.10518v1

• [stat.ML]Pick-and-Mix Information Operators for Probabilistic ODE Solvers
Nathanael Bosch, Filip Tronarp, Philipp Hennig
http://arxiv.org/abs/2110.10770v1

• [stat.ML]The R package sentometrics to compute, aggregate and predict with textual sentiment
David Ardia, Keven Bluteau, Samuel Borms, Kris Boudt
http://arxiv.org/abs/2110.10817v1

• [stat.ML]User-friendly introduction to PAC-Bayes bounds
Pierre Alquier
http://arxiv.org/abs/2110.11216v1