astro-ph.CO - 宇宙学和天体物理学
cond-mat.dis-nn - 无序系统与神经网络 cond-mat.mes-hall - 尺度和物理纳米 cond-mat.mtrl-sci - 材料科学 cs.AI - 人工智能 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.DS - 数据结构与算法 cs.ET - 新兴技术 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SC - 符号计算 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 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.CO - 组合数学 math.MG -公制几何 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.chem-ph -化学物理 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.BM - 生物分子 q-bio.GN - 基因组学 q-bio.PE - 人口与发展 q-fin.PM - 投资组合管理 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.CO]An Unbiased Estimator of the Full-sky CMB Angular Power Spectrum using Neural Networks
• [cond-mat.dis-nn]Ensemble perspective for understanding temporal credit assignment
• [cond-mat.mes-hall]Global minimization via classical tunneling assisted by collective force field formation
• [cond-mat.mtrl-sci]Noise Reduction in X-ray Photon Correlation Spectroscopy with Convolutional Neural Networks Encoder-Decoder Models
• [cs.AI]A Knowledge Compilation Map for Conditional Preference Statements-based Languages
• [cs.AI]A Note on Argumentative Topology: Circularity and Syllogisms as Unsolved Problems
• [cs.AI]An Autonomous Negotiating Agent Framework with Reinforcement Learning Based Strategies and Adaptive Strategy Switching Mechanism
• [cs.AI]Concepts, Properties and an Approach for Compositional Generalization
• [cs.AI]Consequences of Misaligned AI
• [cs.AI]Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles
• [cs.AI]Discovering a set of policies for the worst case reward
• [cs.AI]Enhancing Human-Machine Teaming for Medical Prognosis Through Neural Ordinary Differential Equations (NODEs)
• [cs.AI]Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs
• [cs.AI]Learning Optimal Strategies for Temporal Tasks in Stochastic Games
• [cs.AI]Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching
• [cs.AI]Multisource AI Scorecard Table for System Evaluation
• [cs.AI]Neurogenetic Programming Framework for Explainable Reinforcement Learning
• [cs.AI]Reproducibility in Evolutionary Computation
• [cs.AI]Scheduling Plans of Tasks
• [cs.AI]Vampire With a Brain Is a Good ITP Hammer
• [cs.CL]A bandit approach to curriculum generation for automatic speech recognition
• [cs.CL]CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models
• [cs.CL]Child-directed Listening: How Caregiver Inference Enables Children’s Early Verbal Communication
• [cs.CL]Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration
• [cs.CL]Does He Wink or Does He Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models
• [cs.CL]Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning
• [cs.CL]Effects of Layer Freezing when Transferring DeepSpeech to New Languages
• [cs.CL]From Toxicity in Online Comments to Incivility in American News: Proceed with Caution
• [cs.CL]Generate and Revise: Reinforcement Learning in Neural Poetry
• [cs.CL]How True is GPT-2? An Empirical Analysis of Intersectional Occupational Biases
• [cs.CL]In-Order Chart-Based Constituent Parsing
• [cs.CL]Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling
• [cs.CL]Memory Augmented Sequential Paragraph Retrieval for Multi-hop Question Answering
• [cs.CL]Neural Data-to-Text Generation with LM-based Text Augmentation
• [cs.CL]Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention
• [cs.CL]OntoEnricher: A Deep Learning Approach for Ontology Enrichment from Unstructured Text
• [cs.CL]Quality Estimation without Human-labeled Data
• [cs.CL]Representation Learning for Natural Language Processing
• [cs.CL]SLUA: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning
• [cs.CL]Spoiler Alert: Using Natural Language Processing to Detect Spoilers in Book Reviews
• [cs.CL]The Singleton Fallacy: Why Current Critiques of Language Models Miss the Point
• [cs.CL]Unsupervised Sentence-embeddings by Manifold Approximation and Projection
• [cs.CR]: A Rock-Solid Foundation for Epidemic Consensus Algorithms in Very Large, Very Open Networks
• [cs.CR]Convolutional Neural Network-based Intrusion Detection System for AVTP Streams in Automotive Ethernet-based Networks
• [cs.CR]Generating Fake Cyber Threat Intelligence Using Transformer-Based Models
• [cs.CR]Privacy-Preserving Feature Selection with Secure Multiparty Computation
• [cs.CR]Privacy-Preserving Video Classification with Convolutional Neural Networks
• [cs.CR]Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack
• [cs.CV]A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising
• [cs.CV]A procedure for automated tree pruning suggestion using LiDAR scans of fruit trees
• [cs.CV]APS: A Large-Scale Multi-Modal Indoor Camera Positioning System
• [cs.CV]Adversarial Imaging Pipelines
• [cs.CV]Adversarial Training of Variational Auto-encoders for Continual Zero-shot Learning
• [cs.CV]Adversarial example generation with AdaBelief Optimizer and Crop Invariance
• [cs.CV]An Efficient Framework for Zero-Shot Sketch-Based Image Retrieval
• [cs.CV]Analysis of Latent-Space Motion for Collaborative Intelligence
• [cs.CV]AttributeNet: Attribute Enhanced Vehicle Re-Identification
• [cs.CV]CMS-LSTM: Context-Embedding and Multi-Scale Spatiotemporal-Expression LSTM for Video Prediction
• [cs.CV]Colorization Transformer
• [cs.CV]Counting and Locating High-Density Objects Using Convolutional Neural Network
• [cs.CV]DPointNet: A Density-Oriented PointNet for 3D Object Detection in Point Clouds
• [cs.CV]Damage detection using in-domain and cross-domain transfer learning
• [cs.CV]End-to-end Generative Zero-shot Learning via Few-shot Learning
• [cs.CV]Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues
• [cs.CV]HGAN: Hybrid Generative Adversarial Network
• [cs.CV]Iconographic Image Captioning for Artworks
• [cs.CV]Identifying the Origin of Finger Vein Samples Using Texture Descriptors
• [cs.CV]Improving filling level classification with adversarial training
• [cs.CV]Improving memory banks for unsupervised learning with large mini-batch, consistency and hard negative mining
• [cs.CV]In-game Residential Home Planning via Visual Context-aware Global Relation Learning
• [cs.CV]Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch
• [cs.CV]MOTS R-CNN: Cosine-margin-triplet loss for multi-object tracking
• [cs.CV]Machine Learning Methods for Histopathological Image Analysis: A Review
• [cs.CV]Multi-level Distance Regularization for Deep Metric Learning
• [cs.CV]OVSLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications
• [cs.CV]Object Removal Attacks on LiDAR-based 3D Object Detectors
• [cs.CV]One-shot Face Reenactment Using Appearance Adaptive Normalization
• [cs.CV]Online Clustering-based Multi-Camera Vehicle Tracking in Scenarios with overlapping FOVs
• [cs.CV]Overhead MNIST: A Benchmark Satellite Dataset
• [cs.CV]Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning
• [cs.CV]Plotting time: On the usage of CNNs for time series classification
• [cs.CV]Point-set Distances for Learning Representations of 3D Point Clouds
• [cs.CV]Points2Vec: Unsupervised Object-level Feature Learning from Point Clouds
• [cs.CV]Reliable Probabilistic Face Embeddings in the Wild
• [cs.CV]SM+: Refined Scale Match for Tiny Person Detection
• [cs.CV]SR-Affine: High-quality 3D hand model reconstruction from UV Maps
• [cs.CV]Self-supervised driven consistency training for annotation efficient histopathology image analysis
• [cs.CV]Sill-Net: Feature Augmentation with Separated Illumination Representation
• [cs.CV]Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramas
• [cs.CV]Soccer Event Detection Using Deep Learning
• [cs.CV]Solid Texture Synthesis using Generative Adversarial Networks
• [cs.CV]Subjective and Objective Visual Quality Assessment of Textured 3D Meshes
• [cs.CV]Template-Free Try-on Image Synthesis via Semantic-guided Optimization
• [cs.CV]The Multi-Temporal Urban Development SpaceNet Dataset
• [cs.CV]Towards Accurate RGB-D Saliency Detection with Complementary Attention and Adaptive Integration
• [cs.CV]TransReID: Transformer-based Object Re-Identification
• [cs.CV]TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
• [cs.CV]Two-Step Image Dehazing with Intra-domain and Inter-domain Adaption
• [cs.CV]UniFuse: Unidirectional Fusion for 360 Panorama Depth Estimation
• [cs.CV]Unsupervised Audio-Visual Subspace Alignment for High-Stakes Deception Detection
• [cs.CV]Video-based Hierarchical Species Classification for Longline Fishing Monitoring
• [cs.CY]A Review of Product Safety Regulations in the European Union
• [cs.CY]BlockNet Report: Exploring the Blockchain Skills Concept and Best Practice Use Cases
• [cs.CY]HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data
• [cs.CY]Policy options for digital infrastructure strategies: A simulation model for broadband universal service in Africa
• [cs.CY]The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness
• [cs.CY]Under the Spotlight: Web Tracking in Indian Partisan News Websites
• [cs.DC]A Framework for Auditing Data Center Energy Usage and Mitigating Environmental Footprint
• [cs.DC]A Newcomer In The PGAS World — UPC++ vs UPC: A Comparative Study
• [cs.DC]Hemlock : Compact and Scalable Mutual Exclusion
• [cs.DC]Load balancing for distributed nonlocal models within asynchronous many-task systems
• [cs.DC]We might walk together, but I run faster: Network Fairness and Scalability in Blockchains
• [cs.DS]Streaming k-PCA: Efficient guarantees for Oja’s algorithm, beyond rank-one updates
• [cs.ET]Directed percolation and numerical stability of simulations of digital memcomputing machines
• [cs.HC]EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition
• [cs.HC]HumanACGAN: conditional generative adversarial network with human-based auxiliary classifier and its evaluation in phoneme perception
• [cs.HC]Improving Artificial Teachers by Considering How People Learn and Forget
• [cs.HC]RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization
• [cs.IR]Applying the Affective Aware Pseudo Association Method to Enhance the Top-N Recommendations Distribution to Users in Group Emotion Recommender Systems
• [cs.IR]Drug Package Recommendation via Interaction-aware Graph Induction
• [cs.IR]Generating Artificial Core Users for Interpretable Condensed Data
• [cs.IR]Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network
• [cs.IR]Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation
• [cs.IR]Role of Attentive History Selection in Conversational Information Seeking
• [cs.IR]STAN: Spatio-Temporal Attention Network for Next Location Recommendation
• [cs.IR]User Engagement Prediction for Clarification in Search
• [cs.IT]A Simple Cooperative Diversity Method Based on Deep-Learning-Aided Relay Selection
• [cs.IT]A Theoretical Answer to “Does the IRC-SINR of an Interference Rejection Combiner always Increase with an Increase in Number of Receive Antennas?”
• [cs.IT]Coded Computing with Noise
• [cs.IT]Communications using Sparse Signals
• [cs.IT]Compressed Shaping: Concept and FPGA Demonstration
• [cs.IT]Design of Polar Code Lattices of Small Dimension
• [cs.IT]Distributed Spectrum and Power Allocation for D2D-U Networks: A Scheme based on NN and Federated Learning
• [cs.IT]Distributed Storage Allocations for Optimal Service Rates
• [cs.IT]Frame Based Codes for Partially Active NOMA
• [cs.IT]Gridded UAV Swarm for Secrecy Rate Maximization with Unknown Eavesdropper
• [cs.IT]Learning to Decode Protograph LDPC Codes
• [cs.IT]Learning-based WiFi Traffic Load Estimation in NR-U Systems
• [cs.IT]Max-log APP Detection for Non-bijective Symbol Constellations
• [cs.IT]Multilevel Topological Interference Management: A TIM-TIN Perspective
• [cs.IT]Mutual Information of Neural Network Initialisations: Mean Field Approximations
• [cs.IT]Quantum Algorithm for DOA Estimation in Hybrid Massive MIMO
• [cs.IT]Robust and Secure Cache-aided Private Linear Function Retrieval from Coded Servers
• [cs.IT]Spectral Graph Theory Based Resource Allocation for IRS-Assisted Multi-Hop Edge Computing
• [cs.IT]Throughput Maximization of Network-Coded and Multi-Level Cache-Enabled Heterogeneous Network
• [cs.IT]Two-Dimensional Golay Complementary Array Sets from Generalized Boolean Functions
• [cs.IT]Variations on a Theme by Massey
• [cs.LG]A Constant Approximation Algorithm for Sequential No-Substitution k-Median Clustering under a Random Arrival Order
• [cs.LG]A self-adaptive and robust fission clustering algorithm via heat diffusion and maximal turning angle
• [cs.LG]Additive Feature Hashing
• [cs.LG]Adversarially Guided Actor-Critic
• [cs.LG]An Analysis of Frame-skipping in Reinforcement Learning
• [cs.LG]Arbitrary Conditional Distributions with Energy
• [cs.LG]Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare
• [cs.LG]Bandits for Learning to Explain from Explanations
• [cs.LG]Black-Box Optimization via Generative Adversarial Nets
• [cs.LG]Classification based on Topological Data Analysis
• [cs.LG]Communication-efficient k-Means for Edge-based Machine Learning
• [cs.LG]Confidence-Budget Matching for Sequential Budgeted Learning
• [cs.LG]Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning
• [cs.LG]Contrastive Embeddings for Neural Architectures
• [cs.LG]Counterfactual Contextual Multi-Armed Bandit: a Real-World Application to Diagnose Apple Diseases
• [cs.LG]Curse of Dimensionality for TSK Fuzzy Neural Networks: Explanation and Solutions
• [cs.LG]DEFT: Distilling Entangled Factors
• [cs.LG]DeEPCA: Decentralized Exact PCA with Linear Convergence Rate
• [cs.LG]Deep Reinforcement Learning with Dynamic Optimism
• [cs.LG]Deep Semi-Supervised Learning for Time Series Classification
• [cs.LG]Derivation of the Backpropagation Algorithm Based on Derivative Amplification Coefficients
• [cs.LG]Design of Dynamic Experiments for Black-Box Model Discrimination
• [cs.LG]Dimension Free Generalization Bounds for Non Linear Metric Learning
• [cs.LG]Discovering conservation laws from trajectories via machine learning
• [cs.LG]Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve
• [cs.LG]Double Momentum SGD for Federated Learning
• [cs.LG]Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding
• [cs.LG]Efficient Certified Defenses Against Patch Attacks on Image Classifiers
• [cs.LG]Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise
• [cs.LG]Emergency Department Optimization and Load Prediction in Hospitals
• [cs.LG]Enabling Binary Neural Network Training on the Edge
• [cs.LG]Enhance Information Propagation for Graph Neural Network by Heterogeneous Aggregations
• [cs.LG]Escaping Stochastic Traps with Aleatoric Mapping Agents
• [cs.LG]Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples
• [cs.LG]Extremal learning: extremizing the output of a neural network in regression problems
• [cs.LG]Federated Reconstruction: Partially Local Federated Learning
• [cs.LG]Few-shot time series segmentation using prototype-defined infinite hidden Markov models
• [cs.LG]Functional Space Analysis of Local GAN Convergence
• [cs.LG]Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks
• [cs.LG]Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference
• [cs.LG]Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning
• [cs.LG]Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning
• [cs.LG]Hyperparameter Optimization with Differentiable Metafeatures
• [cs.LG]Ising Model Selection Using -Regularized Linear Regression
• [cs.LG]Lazy OCO: Online Convex Optimization on a Switching Budget
• [cs.LG]Learning Curve Theory
• [cs.LG]Learning with Density Matrices and Random Features
• [cs.LG]Lower Bounds and Accelerated Algorithms for Bilevel Optimization
• [cs.LG]Machine Learning-based Classification of Active Walking Tasks in Older Adults using fNIRS
• [cs.LG]Mask-GVAE: Blind Denoising Graphs via Partition
• [cs.LG]Meta Discovery: Learning to Discover Novel Classes given Very Limited Data
• [cs.LG]Meta-Learning with Neural Tangent Kernels
• [cs.LG]MetaTune: Meta-Learning Based Cost Model for Fast and Efficient Auto-tuning Frameworks
• [cs.LG]Model Rectification via Unknown Unknowns Extraction from Deployment Samples
• [cs.LG]Model-Augmented Q-learning
• [cs.LG]Multi-Tier Federated Learning for Vertically Partitioned Data
• [cs.LG]Near-optimal Representation Learning for Linear Bandits and Linear RL
• [cs.LG]Neural SDEs as Infinite-Dimensional GANs
• [cs.LG]Neural Termination Analysis
• [cs.LG]Non-stationary Online Learning with Memory and Non-stochastic Control
• [cs.LG]Online Limited Memory Neural-Linear Bandits with Likelihood Matching
• [cs.LG]Open-World Semi-Supervised Learning
• [cs.LG]PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior
• [cs.LG]Projection Robust Wasserstein Barycenter
• [cs.LG]Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature
• [cs.LG]Quantifying and Mitigating Privacy Risks of Contrastive Learning
• [cs.LG]RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads
• [cs.LG]Reconstruction of Sparse Signals under Gaussian Noise and Saturation
• [cs.LG]Regret Minimization in Heavy-Tailed Bandits
• [cs.LG]Robust Explanations for Private Support Vector Machines
• [cs.LG]Robust Single-step Adversarial Training with Regularizer
• [cs.LG]Robust normalizing flows using Bernstein-type polynomials
• [cs.LG]SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
• [cs.LG]Scalable Inference of Sparsely-changing Markov Random Fields with Strong Statistical Guarantees
• [cs.LG]SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks
• [cs.LG]Sparsely ensembled convolutional neural network classifiers via reinforcement learning
• [cs.LG]State-Aware Variational Thompson Sampling for Deep Q-Networks
• [cs.LG]Structured Sparsity Inducing Adaptive Optimizers for Deep Learning
• [cs.LG]The Implicit Biases of Stochastic Gradient Descent on Deep Neural Networks with Batch Normalization
• [cs.LG]The Optimality of Polynomial Regression for Agnostic Learning under Gaussian Marginals
• [cs.LG]Tilting the playing field: Dynamical loss functions for machine learning
• [cs.LG]Understanding Higher-order Structures in Evolving Graphs: A Simplicial Complex based Kernel Estimation Approach
• [cs.LG]Unlocking Pixels for Reinforcement Learning via Implicit Attention
• [cs.LG]Wasserstein diffusion on graphs with missing attributes
• [cs.LG]What’s in a Name? — Gender Classification of Names with Character Based Machine Learning Models
• [cs.MA]SkillBot: Identifying Risky Content for Children in Alexa Skills
• [cs.NE]Directed particle swarm optimization with Gaussian-process-based function forecasting
• [cs.NE]Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming
• [cs.NE]Learning adaptive differential evolution algorithm from optimization experiences by policy gradient
• [cs.NE]Nature-Inspired Optimization Algorithms: Research Direction and Survey
• [cs.NE]Spike-based Residual Blocks
• [cs.NI]Estimate The Efficiency Of Multiprocessor’s Cash Memory Work Algorithms
• [cs.NI]Migration in the Stencil Pluralist Cloud Architecture
• [cs.RO]A surgical dataset from the da Vinci Research Kit for task automation and recognition
• [cs.RO]An Analytic Layer-wise Deep Learning Framework with Applications to Robotics
• [cs.RO]Datasets and Evaluation for Simultaneous Localization and Mapping Related Problems: A Comprehensive Survey
• [cs.RO]Decentralized Ability-Aware Adaptive Control for Multi-robot Collaborative Manipulation
• [cs.RO]Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review
• [cs.RO]DroneTrap: Drone Catching in Midair by Soft Robotic Hand with Color-Based Force Detection and Hand Gesture Recognition
• [cs.RO]Dynamic Movement Primitives in Robotics: A Tutorial Survey
• [cs.RO]Embedding manifold structures into Kalman filters
• [cs.RO]Fast Online Planning for Bipedal Locomotion via Centroidal Model Predictive Gait Synthesis
• [cs.RO]Feedback-based Digital Higher-order Terminal Sliding Mode for 6-DOF Industrial Manipulators
• [cs.RO]Haptic-enabled Mixed Reality System for Mixed-initiative Remote Robot Control
• [cs.RO]IDOL: Inertial Deep Orientation-Estimation and Localization
• [cs.RO]Intensity-SLAM: Intensity Assisted Localization and Mapping for Large Scale Environment
• [cs.RO]LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments
• [cs.RO]Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching
• [cs.RO]Lightweight 3-D Localization and Mapping for Solid-State LiDAR
• [cs.RO]MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square
• [cs.RO]Manipulation Planning Among Movable Obstacles Using Physics-Based Adaptive Motion Primitives
• [cs.RO]Sensor Planning for Large Numbers of Robots
• [cs.RO]Standard and Event Cameras Fusion for Dense Mapping
• [cs.RO]The Autonomous Siemens Tram
• [cs.RO]Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks
• [cs.SC]Polynomial Linear System Solving with Random Errors: new bounds and early termination technique
• [cs.SD]An Update of a Progressively Expanded Database for Automated Lung Sound Analysis
• [cs.SD]Extracting the Locus of Attention at a Cocktail Party from Single-Trial EEG using a Joint CNN-LSTM Model
• [cs.SD]Federated Acoustic Modeling For Automatic Speech Recognition
• [cs.SD]LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search
• [cs.SD]U-vectors: Generating clusterable speaker embedding from unlabeled data
• [cs.SE]Graph Neural Network to Dilute Outliers for Refactoring Monolith Application
• [cs.SE]Recommending More Efficient Workflows to Software Developers
• [cs.SI]”Short is the Road that Leads from Fear to Hate”: Fear Speech in Indian WhatsApp Groups
• [cs.SI]A Network Based Approach to Characterize Twenty-First-Century Populism in Colombia
• [cs.SI]Asynchronous semi-anonymous dynamics over large-scale networks
• [cs.SI]Community Detection: Exact Recovery in Weighted Graphs
• [cs.SI]Competition Dynamics in the Meme Ecosystem
• [cs.SI]Effective and Scalable Clustering on Massive Attribut
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ed Graphs
• [cs.SI]Exploring the Subgraph Density-Size Trade-off via the Lovász Extension
• [cs.SI]Measuring Place Connectivity Using Big Social Media Data
• [cs.SI]Opinion Dynamics Incorporating Higher-Order Interactions
• [cs.SI]Overcoming Bias in Community Detection Evaluation
• [cs.SI]Rihanna versus Bollywood: Twitter Influencers and the Indian Farmers’ Protest
• [eess.AS]EMA2S: An End-to-End Multimodal Articulatory-to-Speech System
• [eess.AS]End-to-End Multi-Channel Transformer for Speech Recognition
• [eess.AS]Non-linear frequency warping using constant-Q transformation for speech emotion recognition
• [eess.AS]Speaker attribution with voice profiles by graph-based semi-supervised learning
• [eess.AS]Switching Variational Auto-Encoders for Noise-Agnostic Audio-visual Speech Enhancement
• [eess.AS]Time-Domain Speech Extraction with Spatial Information and Multi Speaker Conditioning Mechanism
• [eess.IV]A Systematic Approach for MRI Brain Tumor Localization, and Segmentation using Deep Learning and Active Contouring
• [eess.IV]A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning
• [eess.IV]Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning
• [eess.IV]Improved Brain Age Estimation with Slice-based Set Networks
• [eess.IV]Predicting Eye Fixations Under Distortion Using Bayesian Observers
• [eess.IV]Rapid Classification of Glaucomatous Fundus Images
• [eess.IV]Segmentasi Citra Menggunakan Metode Watershed Transform Berdasarkan Image Enhancement Dalam Mendeteksi Embrio Telur
• [eess.SP]A Greedy Graph Search Algorithm Based on Changepoint Analysis for Automatic QRS Complex Detection
• [eess.SP]An Efficient Active Set Algorithm for Covariance Based Joint Data and Activity Detection for Massive Random Access with Massive MIMO
• [eess.SP]Continuous Monitoring of Blood Pressure with Evidential Regression
• [eess.SP]Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach
• [eess.SP]MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification
• [eess.SP]Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing
• [eess.SP]WiSleep: Scalable Sleep Monitoring and Analytics Using Passive WiFi Sensing
• [eess.SY]Distributed and Asynchronous Operational Optimization of Networked Microgrids
• [eess.SY]Linear Matrix Inequality Approaches to Koopman Operator Approximation
• [eess.SY]Monte Carlo Rollout Policy for Recommendation Systems with Dynamic User Behavior
• [eess.SY]Practical Fractional-Order Variable-Gain Super-Twisting Control with Application to Wafer Stages of Photolithography Systems
• [math.CO]Local certification of graphs on surfaces
• [math.CO]Toric Codes from Order Polytopes
• [math.MG]Transport information Hessian distances
• [math.NA]Novel Deep neural networks for solving Bayesian statistical inverse
• [math.OC]Correlated Bandits for Dynamic Pricing via the ARC algorithm
• [math.OC]Efficient Learning of a Linear Dynamical System with Stability Guarantees
• [math.OC]Optimal Transport in the Face of Noisy Data
• [math.OC]Partition-based formulations for mixed-integer optimization of trained ReLU neural networks
• [math.OC]SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality
• [math.ST]Discrete Max-Linear Bayesian Networks
• [math.ST]Edgeworth approximations for distributions of symmetric statistics
• [math.ST]Online Statistical Inference for Gradient-free Stochastic Optimization
• [math.ST]Online nonparametric regression with Sobolev kernels
• [math.ST]Prepivoted permutation tests
• [physics.chem-ph]Learning the exchange-correlation functional from nature with fully differentiable density functional theory
• [physics.chem-ph]Study on the simulation control of neural network algorithm in thermally coupled distillation
• [physics.comp-ph]Physics-aware, deep probabilistic modeling of multiscale dynamics in the Small Data regime
• [physics.soc-ph]Scaling of social interactions across animal species
• [q-bio.BM]A Systematic Comparison Study on Hyperparameter Optimisation of Graph Neural Networks for Molecular Property Prediction
• [q-bio.BM]Mimetic Neural Networks: A unified framework for Protein Design and Folding
• [q-bio.GN]Bacteriophage classification for assembled contigs using Graph Convolutional Network
• [q-bio.GN]Data-driven design of targeted gene panels for estimating immunotherapy biomarkers
• [q-bio.PE]COVIDHunter: An Accurate, Flexible, and Environment-Aware Open-Source COVID-19 Outbreak Simulation Model
• [q-fin.PM]A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management
• [quant-ph]Constructios of l-adic t-deletion-correcting quantum codes
• [quant-ph]Long-time simulations with high fidelity on quantum hardware
• [stat.AP]A Practical Model-based Segmentation Approach for Accurate Activation Detection in Single-Subject functional Magnetic Resonance Imaging Studies
• [stat.AP]A psychometric modeling approach to fuzzy rating data
• [stat.AP]Anomaly Detection in Energy Usage Patterns
• [stat.AP]Bipartisan politics and poverty as a risk factor for contagion and mortality from SARS-CoV-2 virus in the United States of America
• [stat.AP]Data-adaptive Dimension Reduction for US Mortality Forecasting
• [stat.AP]Exploratory Data Analysis for Airline Disruption Management
• [stat.AP]Multichannel adaptive signal detection: Basic theory and literature review
• [stat.AP]SONIC: SOcial Network with Influencers and Communities
• [stat.AP]WOMBAT: A fully Bayesian global flux-inversion framework
• [stat.ME]A test for comparing conditional ROC curves with multidimensional covariates
• [stat.ME]An empirical comparison and characterisation of nine popular clustering methods
• [stat.ME]Changepoint detection on a graph of time series
• [stat.ME]Estimating the treatment effect for adherers using multiple imputation
• [stat.ME]Nested Group Testing Procedures for Screening
• [stat.ME]RaSE: A Variable Screening Framework via Random Subspace Ensembles
• [stat.ML]A Bayesian nonparametric approach to count-min sketch under power-law data streams
• [stat.ML]Active learning for distributionally robust level-set estimation
• [stat.ML]Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes
• [stat.ML]Analysis of the Effectiveness of Face-Coverings on the Death Rate of COVID-19 Using Machine Learning
• [stat.ML]Bootstrapping Statistical Inference for Off-Policy Evaluation
• [stat.ML]Causal version of Principle of Insufficient Reason and MaxEnt
• [stat.ML]Constrained Ensemble Langevin Monte Carlo
• [stat.ML]Determinantal consensus clustering
• [stat.ML]Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares
• [stat.ML]EigenGame Unloaded: When playing games is better than optimizing
• [stat.ML]Exclusive Topic Modeling
• [stat.ML]Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data
• [stat.ML]Infinite-channel deep stable convolutional neural networks
• [stat.ML]Latent Map Gaussian Processes for Mixed Variable Metamodeling
• [stat.ML]Learning to Generate Fair Clusters from Demonstrations
• [stat.ML]Robust Principal Component Analysis: A Median of Means Approach
• [stat.ML]The Limits of Computation in Solving Equity Trade-Offs in Machine Learning and Justice System Risk Assessment
• [stat.ML]Towards a mathematical framework to inform Neural Network modelling via Polynomial Regression
·····································
• [astro-ph.CO]An Unbiased Estimator of the Full-sky CMB Angular Power Spectrum using Neural Networks
Pallav Chanda, Rajib Saha
http://arxiv.org/abs/2102.04327v1
• [cond-mat.dis-nn]Ensemble perspective for understanding temporal credit assignment
Wenxuan Zou, Chan Li, Haiping Huang
http://arxiv.org/abs/2102.03740v1
• [cond-mat.mes-hall]Global minimization via classical tunneling assisted by collective force field formation
Francesco Caravelli, Forrest C. Sheldon, Fabio L. Traversa
http://arxiv.org/abs/2102.03385v1
• [cond-mat.mtrl-sci]Noise Reduction in X-ray Photon Correlation Spectroscopy with Convolutional Neural Networks Encoder-Decoder Models
Tatiana Konstantinova, Lutz Wiegart, Maksim Rakitin, Anthony M. DeGennaro, Andi M. Barbour
http://arxiv.org/abs/2102.03877v1
• [cs.AI]A Knowledge Compilation Map for Conditional Preference Statements-based Languages
Hélène Fargier, Jérôme Mengin
http://arxiv.org/abs/2102.04107v1
• [cs.AI]A Note on Argumentative Topology: Circularity and Syllogisms as Unsolved Problems
Wlodek W. Zadrozny
http://arxiv.org/abs/2102.03874v1
• [cs.AI]An Autonomous Negotiating Agent Framework with Reinforcement Learning Based Strategies and Adaptive Strategy Switching Mechanism
Ayan Sengupta, Yasser Mohammad, Shinji Nakadai
http://arxiv.org/abs/2102.03588v1
• [cs.AI]Concepts, Properties and an Approach for Compositional Generalization
Yuanpeng Li
http://arxiv.org/abs/2102.04225v1
• [cs.AI]Consequences of Misaligned AI
Simon Zhuang, Dylan Hadfield-Menell
http://arxiv.org/abs/2102.03896v1
• [cs.AI]Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles
Haowei Sun, Shuo Feng, Xintao Yan, Henry X. Liu
http://arxiv.org/abs/2102.03483v1
• [cs.AI]Discovering a set of policies for the worst case reward
Tom Zahavy, Andre Barreto, Daniel J Mankowitz, Shaobo Hou, Brendan O’Donoghue, Iurii Kemaev, Satinder Baveja Singh
http://arxiv.org/abs/2102.04323v1
• [cs.AI]Enhancing Human-Machine Teaming for Medical Prognosis Through Neural Ordinary Differential Equations (NODEs)
D. Fompeyrine, E. S. Vorm, N. Ricka, F. Rose, G. Pellegrin
http://arxiv.org/abs/2102.04121v1
• [cs.AI]Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs
Dora Jambor, Komal Teru, Joelle Pineau, William L. Hamilton
http://arxiv.org/abs/2102.03419v1
• [cs.AI]Learning Optimal Strategies for Temporal Tasks in Stochastic Games
Alper Kamil Bozkurt, Yu Wang, Miroslav Pajic
http://arxiv.org/abs/2102.04307v1
• [cs.AI]Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching
Scott Cheng-Hsin Yang, Wai Keen Vong, Ravi B. Sojitra, Tomas Folke, Patrick Shafto
http://arxiv.org/abs/2102.03919v1
• [cs.AI]Multisource AI Scorecard Table for System Evaluation
Erik Blasch, James Sung, Tao Nguyen
http://arxiv.org/abs/2102.03985v1
• [cs.AI]Neurogenetic Programming Framework for Explainable Reinforcement Learning
Vadim Liventsev, Aki Härmä, Milan Petković
http://arxiv.org/abs/2102.04231v1
• [cs.AI]Reproducibility in Evolutionary Computation
Manuel López-Ibáñez, Juergen Branke, Luís Paquete
http://arxiv.org/abs/2102.03380v1
• [cs.AI]Scheduling Plans of Tasks
Davide Andrea Guastella
http://arxiv.org/abs/2102.03555v1
• [cs.AI]Vampire With a Brain Is a Good ITP Hammer
Martin Suda
http://arxiv.org/abs/2102.03529v1
• [cs.CL]A bandit approach to curriculum generation for automatic speech recognition
Anastasia Kuznetsova, Anurag Kumar, Francis M. Tyers
http://arxiv.org/abs/2102.03662v1
• [cs.CL]CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models
Yusheng Su, Xu Han, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Peng Li, Maosong Sun
http://arxiv.org/abs/2102.03752v1
• [cs.CL]Child-directed Listening: How Caregiver Inference Enables Children’s Early Verbal Communication
Stephan C. Meylan, Ruthe Foushee, Elika Bergelson, Roger P. Levy
http://arxiv.org/abs/2102.03462v1
• [cs.CL]Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration
Betty van Aken, Jens-Michalis Papaioannou, Manuel Mayrdorfer, Klemens Budde, Felix A. Gers, Alexander Löser
http://arxiv.org/abs/2102.04110v1
• [cs.CL]Does He Wink or Does He Nod? A Challenging Benchmark for Evaluating Word Understanding of Language Models
Lutfi Kerem Senel, Hinrich Schütze
http://arxiv.org/abs/2102.03596v1
• [cs.CL]Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning
Ernie Chang, Hui-Syuan Yeh, Vera Demberg
http://arxiv.org/abs/2102.03554v1
• [cs.CL]Effects of Layer Freezing when Transferring DeepSpeech to New Languages
Onno Eberhard, Torsten Zesch
http://arxiv.org/abs/2102.04097v1
• [cs.CL]From Toxicity in Online Comments to Incivility in American News: Proceed with Caution
Anushree Hede, Oshin Agarwal, Linda Lu, Diana C. Mutz, Ani Nenkova
http://arxiv.org/abs/2102.03671v1
• [cs.CL]Generate and Revise: Reinforcement Learning in Neural Poetry
Andrea Zugarini, Luca Pasqualini, Stefano Melacci, Marco Maggini
http://arxiv.org/abs/2102.04114v1
• [cs.CL]How True is GPT-2? An Empirical Analysis of Intersectional Occupational Biases
Hannah Kirk, Yennie Jun, Haider Iqbal, Elias Benussi, Filippo Volpin, Frederic A. Dreyer, Aleksandar Shtedritski, Yuki M. Asano
http://arxiv.org/abs/2102.04130v1
• [cs.CL]In-Order Chart-Based Constituent Parsing
Yang Wei, Yuanbin Wu, Man Lan
http://arxiv.org/abs/2102.04065v1
• [cs.CL]Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling
Ernie Chang, Vera Demberg, Alex Marin
http://arxiv.org/abs/2102.03551v1
• [cs.CL]Memory Augmented Sequential Paragraph Retrieval for Multi-hop Question Answering
Nan Shao, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu
http://arxiv.org/abs/2102.03741v1
• [cs.CL]Neural Data-to-Text Generation with LM-based Text Augmentation
Ernie Chang, Xiaoyu Shen, Dawei Zhu, Vera Demberg, Hui Su
http://arxiv.org/abs/2102.03556v1
• [cs.CL]Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention
Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh
http://arxiv.org/abs/2102.03902v1
• [cs.CL]OntoEnricher: A Deep Learning Approach for Ontology Enrichment from Unstructured Text
Lalit Mohan Sanagavarapu, Vivek Iyer, Y Raghu Reddy
http://arxiv.org/abs/2102.04081v1
• [cs.CL]Quality Estimation without Human-labeled Data
Yi-Lin Tuan, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Francisco Guzmán, Lucia Specia
http://arxiv.org/abs/2102.04020v1
• [cs.CL]Representation Learning for Natural Language Processing
Zhiyuan Liu, Yankai Lin, Maosong Sun
http://arxiv.org/abs/2102.03732v1
• [cs.CL]SLUA: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning
Di Wu, Liang Ding, Shuo Yang, Dacheng Tao
http://arxiv.org/abs/2102.04009v1
• [cs.CL]Spoiler Alert: Using Natural Language Processing to Detect Spoilers in Book Reviews
Allen Bao, Marshall Ho, Saarthak Sangamnerkar
http://arxiv.org/abs/2102.03882v1
• [cs.CL]The Singleton Fallacy: Why Current Critiques of Language Models Miss the Point
Magnus Sahlgren, Fredrik Carlsson
http://arxiv.org/abs/2102.04310v1
• [cs.CL]Unsupervised Sentence-embeddings by Manifold Approximation and Projection
Subhradeep Kayal
http://arxiv.org/abs/2102.03795v1
• [cs.CR]: A Rock-Solid Foundation for Epidemic Consensus Algorithms in Very Large, Very Open Networks
Alex Auvolat, Yérom-David Bromberg, Davide Frey, François Taïani
http://arxiv.org/abs/2102.04063v1
• [cs.CR]Convolutional Neural Network-based Intrusion Detection System for AVTP Streams in Automotive Ethernet-based Networks
Seonghoon Jeong, Boosun Jeon, Boheung Chung, Huy Kang Kim
http://arxiv.org/abs/2102.03546v1
• [cs.CR]Generating Fake Cyber Threat Intelligence Using Transformer-Based Models
Priyanka Ranade, Aritran Piplai, Sudip Mittal, Anupam Joshi, Tim Finin
http://arxiv.org/abs/2102.04351v1
• [cs.CR]Privacy-Preserving Feature Selection with Secure Multiparty Computation
Xiling Li, Rafael Dowsley, Martine De Cock
http://arxiv.org/abs/2102.03517v1
• [cs.CR]Privacy-Preserving Video Classification with Convolutional Neural Networks
Sikha Pentyala, Rafael Dowsley, Martine De Cock
http://arxiv.org/abs/2102.03513v1
• [cs.CR]Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack
Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang
http://arxiv.org/abs/2102.04362v1
• [cs.CV]A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising
Shiyao Wang, Qi Liu, Tiezheng Ge, Defu Lian, Zhiqiang Zhang
http://arxiv.org/abs/2102.04033v1
• [cs.CV]A procedure for automated tree pruning suggestion using LiDAR scans of fruit trees
Fredrik Westling, James Underwood, Mitch Bryson
http://arxiv.org/abs/2102.03700v1
• [cs.CV]APS: A Large-Scale Multi-Modal Indoor Camera Positioning System
Ali Ghofrani, Rahil Mahdian Toroghi, Seyed Mojtaba Tabatabaie
http://arxiv.org/abs/2102.04139v1
• [cs.CV]Adversarial Imaging Pipelines
Buu Phan, Fahim Mannan, Felix Heide
http://arxiv.org/abs/2102.03728v1
• [cs.CV]Adversarial Training of Variational Auto-encoders for Continual Zero-shot Learning
Subhankar Ghosh
http://arxiv.org/abs/2102.03778v1
• [cs.CV]Adversarial example generation with AdaBelief Optimizer and Crop Invariance
Bo Yang, Hengwei Zhang, Yuchen Zhang, Kaiyong Xu, Jindong Wang
http://arxiv.org/abs/2102.03726v1
• [cs.CV]An Efficient Framework for Zero-Shot Sketch-Based Image Retrieval
Osman Tursun, Simon Denman, Sridha Sridharan, Ethan Goan, Clinton Fookes
http://arxiv.org/abs/2102.04016v1
• [cs.CV]Analysis of Latent-Space Motion for Collaborative Intelligence
Mateen Ulhaq, Ivan V. Bajić
http://arxiv.org/abs/2102.04018v1
• [cs.CV]AttributeNet: Attribute Enhanced Vehicle Re-Identification
Rodolfo Quispe, Cuiling Lan, Wenjun Zeng, Helio Pedrini
http://arxiv.org/abs/2102.03898v1
• [cs.CV]CMS-LSTM: Context-Embedding and Multi-Scale Spatiotemporal-Expression LSTM for Video Prediction
Zenghao Chai, Chun Yuan, Zhihui Lin, Yunpeng Bai
http://arxiv.org/abs/2102.03586v1
• [cs.CV]Colorization Transformer
Manoj Kumar, Dirk Weissenborn, Nal Kalchbrenner
http://arxiv.org/abs/2102.04432v1
• [cs.CV]Counting and Locating High-Density Objects Using Convolutional Neural Network
Mauro dos Santos de Arruda, Lucas Prado Osco, Plabiany Rodrigo Acosta, Diogo Nunes Gonçalves, José Marcato Junior, Ana Paula Marques Ramos, Edson Takashi Matsubara, Zhipeng Luo, Jonathan Li, Jonathan de Andrade Silva, Wesley Nunes Gonçalves
http://arxiv.org/abs/2102.04366v1
• [cs.CV]DPointNet: A Density-Oriented PointNet for 3D Object Detection in Point Clouds
Jie Li, Yu Hu
http://arxiv.org/abs/2102.03747v1
• [cs.CV]Damage detection using in-domain and cross-domain transfer learning
Zaharah A. Bukhsh, Nils Jansen, Aaqib Saeed
http://arxiv.org/abs/2102.03858v1
• [cs.CV]End-to-end Generative Zero-shot Learning via Few-shot Learning
Georgios Chochlakis, Efthymios Georgiou, Alexandros Potamianos
http://arxiv.org/abs/2102.04379v1
• [cs.CV]Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues
Frank Julca-Aguilar, Jason Taylor, Mario Bijelic, Fahim Mannan, Ethan Tseng, Felix Heide
http://arxiv.org/abs/2102.03602v1
• [cs.CV]HGAN: Hybrid Generative Adversarial Network
Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi
http://arxiv.org/abs/2102.03710v1
• [cs.CV]Iconographic Image Captioning for Artworks
Eva Cetinic
http://arxiv.org/abs/2102.03942v1
• [cs.CV]Identifying the Origin of Finger Vein Samples Using Texture Descriptors
Babak Maser, Andreas Uhl
http://arxiv.org/abs/2102.03992v1
• [cs.CV]Improving filling level classification with adversarial training
Apostolos Modas, Alessio Xompero, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro
http://arxiv.org/abs/2102.04057v1
• [cs.CV]Improving memory banks for unsupervised learning with large mini-batch, consistency and hard negative mining
Adrian Bulat, Enrique Sánchez-Lozano, Georgios Tzimiropoulos
http://arxiv.org/abs/2102.04442v1
• [cs.CV]In-game Residential Home Planning via Visual Context-aware Global Relation Learning
Lijuan Liu, Yin Yang, Yi Yuan, Tianjia Shao, He Wang, Kun Zhou
http://arxiv.org/abs/2102.04035v1
• [cs.CV]Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch
Aojun Zhou, Yukun Ma, Junnan Zhu, Jianbo Liu, Zhijie Zhang, Kun Yuan, Wenxiu Sun, Hongsheng Li
http://arxiv.org/abs/2102.04010v1
• [cs.CV]MOTS R-CNN: Cosine-margin-triplet loss for multi-object tracking
Amit Satish Unde, Renu M. Rameshan
http://arxiv.org/abs/2102.03512v1
• [cs.CV]Machine Learning Methods for Histopathological Image Analysis: A Review
Jonathan de Matos, Steve Tsham Mpinda Ataky, Alceu de Souza Britto Jr., Luiz Eduardo Soares de Oliveira, Alessandro Lameiras Koerich
http://arxiv.org/abs/2102.03889v1
• [cs.CV]Multi-level Distance Regularization for Deep Metric Learning
Yonghyun Kim, Wonpyo Park
http://arxiv.org/abs/2102.04223v1
• [cs.CV]OVSLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications
Maxime Ferrera, Alexandre Eudes, Julien Moras, Martial Sanfourche, Guy Le Besnerais
http://arxiv.org/abs/2102.04060v1
• [cs.CV]Object Removal Attacks on LiDAR-based 3D Object Detectors
Zhongyuan Hau, Kenneth T. Co, Soteris Demetriou, Emil C. Lupu
http://arxiv.org/abs/2102.03722v1
• [cs.CV]One-shot Face Reenactment Using Appearance Adaptive Normalization
Guangming Yao, Yi Yuan, Tianjia Shao, Shuang Li, Shanqi Liu, Yong Liu, Mengmeng Wang, Kun Zhou
http://arxiv.org/abs/2102.03984v1
• [cs.CV]Online Clustering-based Multi-Camera Vehicle Tracking in Scenarios with overlapping FOVs
Elena Luna, Juan C. SanMiguel, Jose M. Martínez, Marcos Escudero-Viñolo
http://arxiv.org/abs/2102.04091v1
• [cs.CV]Overhead MNIST: A Benchmark Satellite Dataset
David Noever, Samantha E. Miller Noever
http://arxiv.org/abs/2102.04266v1
• [cs.CV]Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning
Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng
http://arxiv.org/abs/2102.03983v1
• [cs.CV]Plotting time: On the usage of CNNs for time series classification
Nuno M. Rodrigues, João E. Batista, Leonardo Trujillo, Bernardo Duarte, Mario Giacobini, Leonardo Vanneschi, Sara Silva
http://arxiv.org/abs/2102.04179v1
• [cs.CV]Point-set Distances for Learning Representations of 3D Point Clouds
Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, Binh-Son Hua
http://arxiv.org/abs/2102.04014v1
• [cs.CV]Points2Vec: Unsupervised Object-level Feature Learning from Point Clouds
Joël Bachmann, Kenneth Blomqvist, Julian Förster, Roland Siegwart
http://arxiv.org/abs/2102.04136v1
• [cs.CV]Reliable Probabilistic Face Embeddings in the Wild
Kai Chen, Qi Lv, Taihe Yi, Zhengming Yi
http://arxiv.org/abs/2102.04075v1
• [cs.CV]SM+: Refined Scale Match for Tiny Person Detection
Nan Jiang, Xuehui Yu, Xiaoke Peng, Yuqi Gong, Zhenjun Han
http://arxiv.org/abs/2102.03558v1
• [cs.CV]SR-Affine: High-quality 3D hand model reconstruction from UV Maps
Ping Chen, Dong Yang, Fangyin Wu, Qin Li, Qingpei Xia, Yong Tan
http://arxiv.org/abs/2102.03725v1
• [cs.CV]Self-supervised driven consistency training for annotation efficient histopathology image analysis
Chetan L. Srinidhi, Seung Wook Kim, Fu-Der Chen, Anne L. Martel
http://arxiv.org/abs/2102.03897v1
• [cs.CV]Sill-Net: Feature Augmentation with Separated Illumination Representation
Haipeng Zhang, Zhong Cao, Ziang Yan, Changshui Zhang
http://arxiv.org/abs/2102.03539v1
• [cs.CV]Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramas
Nikolaos Zioulis, Federico Alvarez, Dimitrios Zarpalas, Petros Daras
http://arxiv.org/abs/2102.03939v1
• [cs.CV]Soccer Event Detection Using Deep Learning
Ali Karimi, Ramin Toosi, Mohammad Ali Akhaee
http://arxiv.org/abs/2102.04331v1
• [cs.CV]Solid Texture Synthesis using Generative Adversarial Networks
Xin Zhao, Lin Wang, Jifeng Guo, Bo Yang, Junteng Zheng, Fanqi Li
http://arxiv.org/abs/2102.03973v1
• [cs.CV]Subjective and Objective Visual Quality Assessment of Textured 3D Meshes
Jinjiang Guo, Vincent Vidal, Irene Cheng, Anup Basu, Atilla Baskurt, Guillaume Lavoue
http://arxiv.org/abs/2102.03982v1
• [cs.CV]Template-Free Try-on Image Synthesis via Semantic-guided Optimization
Chien-Lung Chou, Chieh-Yun Chen, Chia-Wei Hsieh, Hong-Han Shuai, Jiaying Liu, Wen-Huang Cheng
http://arxiv.org/abs/2102.03503v1
• [cs.CV]The Multi-Temporal Urban Development SpaceNet Dataset
Adam Van Etten, Daniel Hogan, Jesus Martinez-Manso, Jacob Shermeyer, Nicholas Weir, Ryan Lewis
http://arxiv.org/abs/2102.04420v1
• [cs.CV]Towards Accurate RGB-D Saliency Detection with Complementary Attention and Adaptive Integration
Hong-Bo Bi, Zi-Qi Liu, Kang Wang, Bo Dong, Geng Chen, Ji-Quan Ma
http://arxiv.org/abs/2102.04046v1
• [cs.CV]TransReID: Transformer-based Object Re-Identification
Shuting He, Hao Luo, Pichao Wang, Fan Wang, Hao Li, Wei Jiang
http://arxiv.org/abs/2102.04378v1
• [cs.CV]TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan L. Yuille, Yuyin Zhou
http://arxiv.org/abs/2102.04306v1
• [cs.CV]Two-Step Image Dehazing with Intra-domain and Inter-domain Adaption
Xin Yi, Bo Ma, Yulin Zhang, Longyao Liu, JiaHao Wu
http://arxiv.org/abs/2102.03501v1
• [cs.CV]UniFuse: Unidirectional Fusion for 360 Panorama Depth Estimation
Hualie Jiang, Zhe Sheng, Siyu Zhu, Zilong Dong, Rui Huang
http://arxiv.org/abs/2102.03550v1
• [cs.CV]Unsupervised Audio-Visual Subspace Alignment for High-Stakes Deception Detection
Leena Mathur, Maja J Matarić
http://arxiv.org/abs/2102.03673v1
• [cs.CV]Video-based Hierarchical Species Classification for Longline Fishing Monitoring
Jie Mei, Jenq-Neng Hwang, Suzanne Romain, Craig Rose, Braden Moore, Kelsey Magrane
http://arxiv.org/abs/2102.03520v1
• [cs.CY]A Review of Product Safety Regulations in the European Union
Jukka Ruohonen
http://arxiv.org/abs/2102.03679v1
• [cs.CY]BlockNet Report: Exploring the Blockchain Skills Concept and Best Practice Use Cases
Boris Duedder, Vladislav Fomin, Tan Guerpinar, Michael Henke, Philipp Asterios Ioannidis, Viktorija Janaviciene, Raimundas Matulevicius, Mubashar Iqbal, Natalia Straub
http://arxiv.org/abs/2102.04333v1
• [cs.CY]HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data
Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun
http://arxiv.org/abs/2102.04252v1
• [cs.CY]Policy options for digital infrastructure strategies: A simulation model for broadband universal service in Africa
Edward Oughton
http://arxiv.org/abs/2102.03561v1
• [cs.CY]The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness
Georg Ahnert, Ivan Smirnov, Florian Lemmerich, Claudia Wagner, Markus Strohmaier
http://arxiv.org/abs/2102.04119v1
• [cs.CY]Under the Spotlight: Web Tracking in Indian Partisan News Websites
Vibhor Agarwal, Yash Vekaria, Pushkal Agarwal, Sangeeta Mahapatra, Shounak Set, Sakthi Balan Muthiah, Nishanth Sastry, Nicolas Kourtellis
http://arxiv.org/abs/2102.03656v1
• [cs.DC]A Framework for Auditing Data Center Energy Usage and Mitigating Environmental Footprint
Justin Gould
http://arxiv.org/abs/2102.04446v1
• [cs.DC]A Newcomer In The PGAS World — UPC++ vs UPC: A Comparative Study
Jérémie Lagravière, Johannes Langguth, Martina Prugger, Phuong H. Ha, Xing Cai
http://arxiv.org/abs/2102.03614v1
• [cs.DC]Hemlock : Compact and Scalable Mutual Exclusion
Dave Dice, Alex Kogan
http://arxiv.org/abs/2102.03863v1
• [cs.DC]Load balancing for distributed nonlocal models within asynchronous many-task systems
Pranav Gadikar, Patrick Diehl, Prashant K. Jha
http://arxiv.org/abs/2102.03819v1
• [cs.DC]We might walk together, but I run faster: Network Fairness and Scalability in Blockchains
Anurag Jain, Shoeb Siddiqui, Sujit Gujar
http://arxiv.org/abs/2102.04326v1
• [cs.DS]Streaming k-PCA: Efficient guarantees for Oja’s algorithm, beyond rank-one updates
De Huang, Jonathan Niles-Weed, Rachel Ward
http://arxiv.org/abs/2102.03646v1
• [cs.ET]Directed percolation and numerical stability of simulations of digital memcomputing machines
Yuan-Hang Zhang, Massimiliano Di Ventra
http://arxiv.org/abs/2102.03547v1
• [cs.HC]EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition
Zhen Liang, Rushuang Zhou, Li Zhang, Linling Li, Gan Huang, Zhiguo Zhang, Shin Ishii
http://arxiv.org/abs/2102.03777v1
• [cs.HC]HumanACGAN: conditional generative adversarial network with human-based auxiliary classifier and its evaluation in phoneme perception
Yota Ueda, Kazuki Fujii, Yuki Saito, Shinnosuke Takamichi, Yukino Baba, Hiroshi Saruwatari
http://arxiv.org/abs/2102.04051v1
• [cs.HC]Improving Artificial Teachers by Considering How People Learn and Forget
Aurélien Nioche, Pierre-Alexandre Murena, Carlos de la Torre-Ortiz, Antti Oulasvirta
http://arxiv.org/abs/2102.04174v1
• [cs.HC]RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization
Austin P Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng Chau, Diyi Yang
http://arxiv.org/abs/2102.04427v1
• [cs.IR]Applying the Affective Aware Pseudo Association Method to Enhance the Top-N Recommendations Distribution to Users in Group Emotion Recommender Systems
John Kalung Leung, Igor Griva, William G. Kennedy
http://arxiv.org/abs/2102.04447v1
• [cs.IR]Drug Package Recommendation via Interaction-aware Graph Induction
Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen
http://arxiv.org/abs/2102.03577v1
• [cs.IR]Generating Artificial Core Users for Interpretable Condensed Data
Amy Nesky, Quentin F. Stout
http://arxiv.org/abs/2102.03674v1
• [cs.IR]Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network
Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin
http://arxiv.org/abs/2102.03787v1
• [cs.IR]Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation
Behrooz Razeghi, Sohrab Ferdowsi, Dimche Kostadinov, Flavio. P. Calmon, Slava Voloshynovskiy
http://arxiv.org/abs/2102.04274v1
• [cs.IR]Role of Attentive History Selection in Conversational Information Seeking
Somil Gupta, Neeraj Sharma
http://arxiv.org/abs/2102.03749v1
• [cs.IR]STAN: Spatio-Temporal Attention Network for Next Location Recommendation
Yingtao Luo, Qiang Liu, Zhaocheng Liu
http://arxiv.org/abs/2102.04095v1
• [cs.IR]User Engagement Prediction for Clarification in Search
Ivan Sekulić, Mohammad Aliannejadi, Fabio Crestani
http://arxiv.org/abs/2102.04163v1
• [cs.IT]A Simple Cooperative Diversity Method Based on Deep-Learning-Aided Relay Selection
Wei Jiang, Hans Dieter Schotten
http://arxiv.org/abs/2102.03409v1
• [cs.IT]A Theoretical Answer to “Does the IRC-SINR of an Interference Rejection Combiner always Increase with an Increase in Number of Receive Antennas?”
Karthik Muralidhar
http://arxiv.org/abs/2102.04349v1
• [cs.IT]Coded Computing with Noise
Royee Yosibash, Ram Zamir
http://arxiv.org/abs/2102.03759v1
• [cs.IT]Communications using Sparse Signals
Madhusudan Kumar Sinha, Arun Pachai Kannu
http://arxiv.org/abs/2102.03489v1
• [cs.IT]Compressed Shaping: Concept and FPGA Demonstration
Tsuyoshi Yoshida, Koji Igarashi, Magnus Karlsson, Erik Agrell
http://arxiv.org/abs/2102.03958v1
• [cs.IT]Design of Polar Code Lattices of Small Dimension
Obed Rhesa Ludwiniananda, Ning Liu, Khoirul Anwar, Brian M. Kurkoski
http://arxiv.org/abs/2102.03998v1
• [cs.IT]Distributed Spectrum and Power Allocation for D2D-U Networks: A Scheme based on NN and Federated Learning
Rui Yin, Zhiqun Zou, Celimuge Wu, Jiantao Yuan, Xianfu Chen
http://arxiv.org/abs/2102.04359v1
• [cs.IT]Distributed Storage Allocations for Optimal Service Rates
Pei Peng, Moslem Noori, Emina Soljanin
http://arxiv.org/abs/2102.04322v1
• [cs.IT]Frame Based Codes for Partially Active NOMA
Maya Slamovich, Ram Zamir
http://arxiv.org/abs/2102.03604v1
• [cs.IT]Gridded UAV Swarm for Secrecy Rate Maximization with Unknown Eavesdropper
Christantus O. Nnamani, Muhammad R. A. Khandaker, Mathini Sellathurai
http://arxiv.org/abs/2102.03428v1
• [cs.IT]Learning to Decode Protograph LDPC Codes
Jincheng Dai, Kailin Tan, Zhongwei Si, Kai Niu, Mingzhe Chen, H. Vincent Poor, Shuguang Cui
http://arxiv.org/abs/2102.03828v1
• [cs.IT]Learning-based WiFi Traffic Load Estimation in NR-U Systems
Rui Yin, Zhiqun Zou, Celimuge Wu, Jiantao Yuan, Xianfu Chen, Guanding Yu
http://arxiv.org/abs/2102.04346v1
• [cs.IT]Max-log APP Detection for Non-bijective Symbol Constellations
Martin Damrath, Peter Adam Hoeher
http://arxiv.org/abs/2102.04028v1
• [cs.IT]Multilevel Topological Interference Management: A TIM-TIN Perspective
Chunhua Geng, Hua Sun, Syed A. Jafar
http://arxiv.org/abs/2102.04355v1
• [cs.IT]Mutual Information of Neural Network Initialisations: Mean Field Approximations
Jared Tanner, Giuseppe Ughi
http://arxiv.org/abs/2102.04374v1
• [cs.IT]Quantum Algorithm for DOA Estimation in Hybrid Massive MIMO
Fanxu Meng
http://arxiv.org/abs/2102.03963v1
• [cs.IT]Robust and Secure Cache-aided Private Linear Function Retrieval from Coded Servers
Qifa Yan, Daniela Tuninetti
http://arxiv.org/abs/2102.03683v1
• [cs.IT]Spectral Graph Theory Based Resource Allocation for IRS-Assisted Multi-Hop Edge Computing
Huilian Zhang, Xiaofan He, Qingqing Wu, Huaiyu Dai
http://arxiv.org/abs/2102.03581v1
• [cs.IT]Throughput Maximization of Network-Coded and Multi-Level Cache-Enabled Heterogeneous Network
Mohammed S. Al-Abiad, Md. Zoheb Hassan
http://arxiv.org/abs/2102.03405v1
• [cs.IT]Two-Dimensional Golay Complementary Array Sets from Generalized Boolean Functions
Cheng-Yu Pai, Chao-Yu Chen
http://arxiv.org/abs/2102.04043v1
• [cs.IT]Variations on a Theme by Massey
Olivier Rioul
http://arxiv.org/abs/2102.04200v1
• [cs.LG]A Constant Approximation Algorithm for Sequential No-Substitution k-Median Clustering under a Random Arrival Order
Tom Hess, Michal Moshkovitz, Sivan Sabato
http://arxiv.org/abs/2102.04050v1
• [cs.LG]A self-adaptive and robust fission clustering algorithm via heat diffusion and maximal turning angle
Yu Han, Shizhan Lu, Haiyan Xu
http://arxiv.org/abs/2102.03794v1
• [cs.LG]Additive Feature Hashing
M. Andrecut
http://arxiv.org/abs/2102.03943v1
• [cs.LG]Adversarially Guided Actor-Critic
Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist
http://arxiv.org/abs/2102.04376v1
• [cs.LG]An Analysis of Frame-skipping in Reinforcement Learning
Shivaram Kalyanakrishnan, Siddharth Aravindan, Vishwajeet Bagdawat, Varun Bhatt, Harshith Goka, Archit Gupta, Kalpesh Krishna, Vihari Piratla
http://arxiv.org/abs/2102.03718v1
• [cs.LG]Arbitrary Conditional Distributions with Energy
Ryan R. Strauss, Junier B. Oliva
http://arxiv.org/abs/2102.04426v1
• [cs.LG]Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare
Ming Yuan, Vikas Kumar, Muhammad Aurangzeb Ahmad, Ankur Teredesai
http://arxiv.org/abs/2102.03717v1
• [cs.LG]Bandits for Learning to Explain from Explanations
Freya Behrens, Stefano Teso, Davide Mottin
http://arxiv.org/abs/2102.03815v1
• [cs.LG]Black-Box Optimization via Generative Adversarial Nets
Minfang Lu, Fengyang Sun, Lin Wang, Bo Yang, Shuangrong Liu
http://arxiv.org/abs/2102.03888v1
• [cs.LG]Classification based on Topological Data Analysis
Rolando Kindelan, José Frías, Mauricio Cerda, Nancy Hitschfeld
http://arxiv.org/abs/2102.03709v1
• [cs.LG]Communication-efficient k-Means for Edge-based Machine Learning
Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
http://arxiv.org/abs/2102.04282v1
• [cs.LG]Confidence-Budget Matching for Sequential Budgeted Learning
Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor
http://arxiv.org/abs/2102.03400v1
• [cs.LG]Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning
Xueguang Lyu, Yuchen Xiao, Brett Daley, Christopher Amato
http://arxiv.org/abs/2102.04402v1
• [cs.LG]Contrastive Embeddings for Neural Architectures
Daniel Hesslow, Iacopo Poli
http://arxiv.org/abs/2102.04208v1
• [cs.LG]Counterfactual Contextual Multi-Armed Bandit: a Real-World Application to Diagnose Apple Diseases
Gabriele Sottocornola, Fabio Stella, Markus Zanker
http://arxiv.org/abs/2102.04214v1
• [cs.LG]Curse of Dimensionality for TSK Fuzzy Neural Networks: Explanation and Solutions
Yuqi Cui, Dongrui Wu, Yifan Xu
http://arxiv.org/abs/2102.04271v1
• [cs.LG]DEFT: Distilling Entangled Factors
Jiantao Wu, Lin Wang, Chunxiuzi Liu
http://arxiv.org/abs/2102.03986v1
• [cs.LG]DeEPCA: Decentralized Exact PCA with Linear Convergence Rate
Haishan Ye, Tong Zhang
http://arxiv.org/abs/2102.03990v1
• [cs.LG]Deep Reinforcement Learning with Dynamic Optimism
Ted Moskovitz, Jack Parker-Holder, Aldo Pacchiano, Michael Arbel
http://arxiv.org/abs/2102.03765v1
• [cs.LG]Deep Semi-Supervised Learning for Time Series Classification
Jann Goschenhofer, Rasmus Hvingelby, David Rügamer, Janek Thomas, Moritz Wagner, Bernd Bischl
http://arxiv.org/abs/2102.03622v1
• [cs.LG]Derivation of the Backpropagation Algorithm Based on Derivative Amplification Coefficients
Yiping Cheng
http://arxiv.org/abs/2102.04320v1
• [cs.LG]Design of Dynamic Experiments for Black-Box Model Discrimination
Simon Olofsson, Eduardo S. Schultz, Adel Mhamdi, Alexander Mitsos, Marc Peter Deisenroth, Ruth Misener
http://arxiv.org/abs/2102.03782v1
• [cs.LG]Dimension Free Generalization Bounds for Non Linear Metric Learning
Mark Kozdoba, Shie Mannor
http://arxiv.org/abs/2102.03802v1
• [cs.LG]Discovering conservation laws from trajectories via machine learning
Seungwoong Ha, Hawoong Jeong
http://arxiv.org/abs/2102.04008v1
• [cs.LG]Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve
Anthony Sicilia, Xingchen Zhao, Seong Jae Hwang
http://arxiv.org/abs/2102.03924v1
• [cs.LG]Double Momentum SGD for Federated Learning
An Xu, Heng Huang
http://arxiv.org/abs/2102.03970v1
• [cs.LG]Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding
Siyu Liao, Chunhua Deng, Miao Yin, Bo Yuan
http://arxiv.org/abs/2102.03959v1
• [cs.LG]Efficient Certified Defenses Against Patch Attacks on Image Classifiers
Jan Hendrik Metzen, Maksym Yatsura
http://arxiv.org/abs/2102.04154v1
• [cs.LG]Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise
Xingyu Wang, Sewoong Oh, Chang-Han Rhee
http://arxiv.org/abs/2102.04297v1
• [cs.LG]Emergency Department Optimization and Load Prediction in Hospitals
Karthik K. Padthe, Vikas Kumar, Carly M. Eckert, Nicholas M. Mark, Anam Zahid, Muhammad Aurangzeb Ahmad, Ankur Teredesai
http://arxiv.org/abs/2102.03672v1
• [cs.LG]Enabling Binary Neural Network Training on the Edge
Erwei Wang, James J. Davis, Daniele Moro, Piotr Zielinski, Claudionor Coelho, Satrajit Chatterjee, Peter Y. K. Cheung, George A. Constantinides
http://arxiv.org/abs/2102.04270v1
• [cs.LG]Enhance Information Propagation for Graph Neural Network by Heterogeneous Aggregations
Dawei Leng, Jinjiang Guo, Lurong Pan, Jie Li, Xinyu Wang
http://arxiv.org/abs/2102.04064v1
• [cs.LG]Escaping Stochastic Traps with Aleatoric Mapping Agents
Augustine N. Mavor-Parker, Kimberly A. Young, Caswell Barry, Lewis D. Griffin
http://arxiv.org/abs/2102.04399v1
• [cs.LG]Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples
Omer Faruk Tuna, Ferhat Ozgur Catak, M. Taner Eskil
http://arxiv.org/abs/2102.04150v1
• [cs.LG]Extremal learning: extremizing the output of a neural network in regression problems
Zakaria Patel, Markus Rummel
http://arxiv.org/abs/2102.03626v1
• [cs.LG]Federated Reconstruction: Partially Local Federated Learning
Karan Singhal, Hakim Sidahmed, Zachary Garrett, Shanshan Wu, Keith Rush, Sushant Prakash
http://arxiv.org/abs/2102.03448v1
• [cs.LG]Few-shot time series segmentation using prototype-defined infinite hidden Markov models
Yazan Qarout, Yordan P. Raykov, Max A. Little
http://arxiv.org/abs/2102.03885v1
• [cs.LG]Functional Space Analysis of Local GAN Convergence
Valentin Khrulkov, Artem Babenko, Ivan Oseledets
http://arxiv.org/abs/2102.04448v1
• [cs.LG]Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks
Alireza Fallah, Aryan Mokhtari, Asuman Ozdaglar
http://arxiv.org/abs/2102.03832v1
• [cs.LG]Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference
Koh T
c28
akeuchi, :, Ryo Nishida, :, Hisashi Kashima, :, Masaki Onishi
http://arxiv.org/abs/2102.03980v1
• [cs.LG]Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning
Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan
http://arxiv.org/abs/2102.04350v1
• [cs.LG]Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning
Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktaschel
http://arxiv.org/abs/2102.04220v1
• [cs.LG]Hyperparameter Optimization with Differentiable Metafeatures
Hadi S. Jomaa, Lars Schmidt-Thieme, Josif Grabocka
http://arxiv.org/abs/2102.03776v1
• [cs.LG]Ising Model Selection Using -Regularized Linear Regression
Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
http://arxiv.org/abs/2102.03988v1
• [cs.LG]Lazy OCO: Online Convex Optimization on a Switching Budget
Uri Sherman, Tomer Koren
http://arxiv.org/abs/2102.03803v1
• [cs.LG]Learning Curve Theory
Marcus Hutter
http://arxiv.org/abs/2102.04074v1
• [cs.LG]Learning with Density Matrices and Random Features
Fabio A. González, Alejandro Gallego, Santiago Toledo-Cortés, Vladimir Vargas-Calderón
http://arxiv.org/abs/2102.04394v1
• [cs.LG]Lower Bounds and Accelerated Algorithms for Bilevel Optimization
Kaiyi Ji, Yingbin Liang
http://arxiv.org/abs/2102.03926v1
• [cs.LG]Machine Learning-based Classification of Active Walking Tasks in Older Adults using fNIRS
Dongning Ma, Meltem Izzetoglu, Roee Holtzer, Xun Jiao
http://arxiv.org/abs/2102.03987v1
• [cs.LG]Mask-GVAE: Blind Denoising Graphs via Partition
Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng
http://arxiv.org/abs/2102.04228v1
• [cs.LG]Meta Discovery: Learning to Discover Novel Classes given Very Limited Data
Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Gang Niu, Bo Han
http://arxiv.org/abs/2102.04002v1
• [cs.LG]Meta-Learning with Neural Tangent Kernels
Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu
http://arxiv.org/abs/2102.03909v1
• [cs.LG]MetaTune: Meta-Learning Based Cost Model for Fast and Efficient Auto-tuning Frameworks
Jaehun Ryu, Hyojin Sung
http://arxiv.org/abs/2102.04199v1
• [cs.LG]Model Rectification via Unknown Unknowns Extraction from Deployment Samples
Bruno Abrahao, Zheng Wang, Haider Ahmed, Yuchen Zhu
http://arxiv.org/abs/2102.04145v1
• [cs.LG]Model-Augmented Q-learning
Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
http://arxiv.org/abs/2102.03866v1
• [cs.LG]Multi-Tier Federated Learning for Vertically Partitioned Data
Anirban Das, Stacy Patterson
http://arxiv.org/abs/2102.03620v1
• [cs.LG]Near-optimal Representation Learning for Linear Bandits and Linear RL
Jiachen Hu, Xiaoyu Chen, Chi Jin, Lihong Li, Liwei Wang
http://arxiv.org/abs/2102.04132v1
• [cs.LG]Neural SDEs as Infinite-Dimensional GANs
Patrick Kidger, James Foster, Xuechen Li, Harald Oberhauser, Terry Lyons
http://arxiv.org/abs/2102.03657v1
• [cs.LG]Neural Termination Analysis
Mirco Giacobbe, Daniel Kroening, Julian Parsert
http://arxiv.org/abs/2102.03824v1
• [cs.LG]Non-stationary Online Learning with Memory and Non-stochastic Control
Peng Zhao, Yu-Xiang Wang, Zhi-Hua Zhou
http://arxiv.org/abs/2102.03758v1
• [cs.LG]Online Limited Memory Neural-Linear Bandits with Likelihood Matching
Ofir Nabati, Tom Zahavy, Shie Mannor
http://arxiv.org/abs/2102.03799v1
• [cs.LG]Open-World Semi-Supervised Learning
Kaidi Cao, Maria Brbic, Jure Leskovec
http://arxiv.org/abs/2102.03526v1
• [cs.LG]PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior
Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang
http://arxiv.org/abs/2102.03748v1
• [cs.LG]Projection Robust Wasserstein Barycenter
Minhui Huang, Shiqian Ma, Lifeng Lai
http://arxiv.org/abs/2102.03390v1
• [cs.LG]Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature
Kefan Dong, Jiaqi Yang, Tengyu Ma
http://arxiv.org/abs/2102.04168v1
• [cs.LG]Quantifying and Mitigating Privacy Risks of Contrastive Learning
Xinlei He, Yang Zhang
http://arxiv.org/abs/2102.04140v1
• [cs.LG]RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads
James Gleeson, Srivatsan Krishnan, Moshe Gabel, Vijay Janapa Reddi, Eyal de Lara, Gennady Pekhimenko
http://arxiv.org/abs/2102.04285v1
• [cs.LG]Reconstruction of Sparse Signals under Gaussian Noise and Saturation
Shuvayan Banerjee, Radhe Srivastava, Ajit Rajwade
http://arxiv.org/abs/2102.03975v1
• [cs.LG]Regret Minimization in Heavy-Tailed Bandits
Shubhada Agrawal, Sandeep Juneja, Wouter M. Koolen
http://arxiv.org/abs/2102.03734v1
• [cs.LG]Robust Explanations for Private Support Vector Machines
Rami Mochaourab, Sugandh Sinha, Stanley Greenstein, Panagiotis Papapetrou
http://arxiv.org/abs/2102.03785v1
• [cs.LG]Robust Single-step Adversarial Training with Regularizer
Lehui Xie, Yaopeng Wang, Jia-Li Yin, Ximeng Liu
http://arxiv.org/abs/2102.03381v1
• [cs.LG]Robust normalizing flows using Bernstein-type polynomials
Sameera Ramasinghe, Kasun Fernando, Salman Khan, Nick Barnes
http://arxiv.org/abs/2102.03509v1
• [cs.LG]SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
Wuxinlin Cheng, Chenhui Deng, Zhiqiang Zhao, Yaohui Cai, Zhiru Zhang, Zhuo Feng
http://arxiv.org/abs/2102.03716v1
• [cs.LG]Scalable Inference of Sparsely-changing Markov Random Fields with Strong Statistical Guarantees
Salar Fattahi, Andres Gomez
http://arxiv.org/abs/2102.03585v1
• [cs.LG]SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks
Enzo Tartaglione, Andrea Bragagnolo, Francesco Odierna, Attilio Fiandrotti, Marco Grangetto
http://arxiv.org/abs/2102.03773v1
• [cs.LG]Sparsely ensembled convolutional neural network classifiers via reinforcement learning
Roman Malashin
http://arxiv.org/abs/2102.03921v1
• [cs.LG]State-Aware Variational Thompson Sampling for Deep Q-Networks
Siddharth Aravindan, Wee Sun Lee
http://arxiv.org/abs/2102.03719v1
• [cs.LG]Structured Sparsity Inducing Adaptive Optimizers for Deep Learning
Tristan Deleu, Yoshua Bengio
http://arxiv.org/abs/2102.03869v1
• [cs.LG]The Implicit Biases of Stochastic Gradient Descent on Deep Neural Networks with Batch Normalization
Ziquan Liu, Yufei Cui, Jia Wan, Yu Mao, Antoni B. Chan
http://arxiv.org/abs/2102.03497v1
• [cs.LG]The Optimality of Polynomial Regression for Agnostic Learning under Gaussian Marginals
Ilias Diakonikolas, Daniel M. Kane, Thanasis Pittas, Nikos Zarifis
http://arxiv.org/abs/2102.04401v1
• [cs.LG]Tilting the playing field: Dynamical loss functions for machine learning
Miguel Ruiz-Garcia, Ge Zhang, Samuel S. Schoenholz, Andrea J. Liu
http://arxiv.org/abs/2102.03793v1
• [cs.LG]Understanding Higher-order Structures in Evolving Graphs: A Simplicial Complex based Kernel Estimation Approach
Manohar Kaul, Masaaki Imaizumi
http://arxiv.org/abs/2102.03609v1
• [cs.LG]Unlocking Pixels for Reinforcement Learning via Implicit Attention
Krzysztof Choromanski, Deepali Jain, Jack Parker-Holder, Xingyou Song, Valerii Likhosherstov, Anirban Santara, Aldo Pacchiano, Yunhao Tang, Adrian Weller
http://arxiv.org/abs/2102.04353v1
• [cs.LG]Wasserstein diffusion on graphs with missing attributes
Zhixian Chen, Tengfei Ma, Yangqiu Song, Yang Wang
http://arxiv.org/abs/2102.03450v1
• [cs.LG]What’s in a Name? — Gender Classification of Names with Character Based Machine Learning Models
Yifan Hu, Changwei Hu, Thanh Tran, Tejaswi Kasturi, Elizabeth Joseph, Matt Gillingham
http://arxiv.org/abs/2102.03692v1
• [cs.MA]SkillBot: Identifying Risky Content for Children in Alexa Skills
Tu Le, Danny Yuxing Huang, Noah Apthorpe, Yuan Tian
http://arxiv.org/abs/2102.03382v1
• [cs.NE]Directed particle swarm optimization with Gaussian-process-based function forecasting
Johannes Jakubik, Adrian Binding, Stefan Feuerriegel
http://arxiv.org/abs/2102.04172v1
• [cs.NE]Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming
Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan
http://arxiv.org/abs/2102.04312v1
• [cs.NE]Learning adaptive differential evolution algorithm from optimization experiences by policy gradient
Jianyong Sun, Xin Liu, Thomas Bäck, Zongben Xu
http://arxiv.org/abs/2102.03572v1
• [cs.NE]Nature-Inspired Optimization Algorithms: Research Direction and Survey
Sachan Rohit Kumar, Kushwaha Dharmender Singh
http://arxiv.org/abs/2102.04013v1
• [cs.NE]Spike-based Residual Blocks
Wei Fang, Zhaofei Yu, Timothée Masquelier, Yanqi Chen, Tiejun Huang, Yonghong Tian
http://arxiv.org/abs/2102.04159v1
• [cs.NI]Estimate The Efficiency Of Multiprocessor’s Cash Memory Work Algorithms
Mohamed A. Hamada, Abdelrahman Abdallah
http://arxiv.org/abs/2102.03848v1
• [cs.NI]Migration in the Stencil Pluralist Cloud Architecture
Tai Liu, Zain Tariq, Barath Raghavan, Jay Chen
http://arxiv.org/abs/2102.03964v1
• [cs.RO]A surgical dataset from the da Vinci Research Kit for task automation and recognition
Irene Rivas-Blanco, Carlos J. Pérez-del-Pulgar, Andrea Mariani, Claudio Quaglia, Giuseppe Tortora, Arianna Menciassi, Víctor F. Muñoz
http://arxiv.org/abs/2102.03643v1
• [cs.RO]An Analytic Layer-wise Deep Learning Framework with Applications to Robotics
Huu-Thiet Nguyen, Chien Chern Cheah, Kar-Ann Toh
http://arxiv.org/abs/2102.03705v1
• [cs.RO]Datasets and Evaluation for Simultaneous Localization and Mapping Related Problems: A Comprehensive Survey
Yuanzhi Liu, Yujia Fu, Fengdong Chen, Bart Goossens, Wei Tao, Hui Zhao
http://arxiv.org/abs/2102.04036v1
• [cs.RO]Decentralized Ability-Aware Adaptive Control for Multi-robot Collaborative Manipulation
Lei Yan, Theodoros Stouraitis, Sethu Vijayakumar
http://arxiv.org/abs/2102.03689v1
• [cs.RO]Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review
Rongrong Liu, Florent Nageotte, Philippe Zanne, Michel de Mathelin, Birgitta Dresp-Langley
http://arxiv.org/abs/2102.04148v1
• [cs.RO]DroneTrap: Drone Catching in Midair by Soft Robotic Hand with Color-Based Force Detection and Hand Gesture Recognition
Aleksey Fedoseev, Valerii Serpiva, Ekaterina Karmanova, Miguel Altamirano Cabrera, Vladimir Shirokun, Iakov Vasilev, Stanislav Savushkin, Dzmitry Tsetserukou
http://arxiv.org/abs/2102.03923v1
• [cs.RO]Dynamic Movement Primitives in Robotics: A Tutorial Survey
Matteo Saveriano, Fares J. Abu-Dakka, Aljaz Kramberger, Luka Peternel
http://arxiv.org/abs/2102.03861v1
• [cs.RO]Embedding manifold structures into Kalman filters
Dongjiao He, Wei Xu, Fu Zhang
http://arxiv.org/abs/2102.03804v1
• [cs.RO]Fast Online Planning for Bipedal Locomotion via Centroidal Model Predictive Gait Synthesis
Yijie Guo, Mingguo Zhao
http://arxiv.org/abs/2102.04122v1
• [cs.RO]Feedback-based Digital Higher-order Terminal Sliding Mode for 6-DOF Industrial Manipulators
Zhian Kuang, Xiang Zhang, Liting Sun, Huijun Gao, Masayoshi Tomizuka
http://arxiv.org/abs/2102.03531v1
• [cs.RO]Haptic-enabled Mixed Reality System for Mixed-initiative Remote Robot Control
Yuan Tian, Lianjun Li, Andrea Fumagalli, Yonas Tanesse, Balakrishnan Prabhakaran
http://arxiv.org/abs/2102.03521v1
• [cs.RO]IDOL: Inertial Deep Orientation-Estimation and Localization
Scott Sun, Dennis Melamed, Kris Kitani
http://arxiv.org/abs/2102.04024v1
• [cs.RO]Intensity-SLAM: Intensity Assisted Localization and Mapping for Large Scale Environment
Han Wang, Chen Wang, Lihua Xie
http://arxiv.org/abs/2102.03798v1
• [cs.RO]LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments
Andrea Tagliabue, Jesus Tordesillas, Xiaoyi Cai, Angel Santamaria-Navarro, Jonathan P. How, Luca Carlone, Ali-akbar Agha-mohammadi
http://arxiv.org/abs/2102.03443v1
• [cs.RO]Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching
Justin Tomasi, Brandon Wagstaff, Steven L. Waslander, Jonathan Kelly
http://arxiv.org/abs/2102.04341v1
• [cs.RO]Lightweight 3-D Localization and Mapping for Solid-State LiDAR
Han Wang, Chen Wang, Lihua Xie
http://arxiv.org/abs/2102.03800v1
• [cs.RO]MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square
Yue Pan, Pengchuan Xiao, Yujie He, Zhenlei Shao, Zesong Li
http://arxiv.org/abs/2102.03771v1
• [cs.RO]Manipulation Planning Among Movable Obstacles Using Physics-Based Adaptive Motion Primitives
Dhruv Mauria Saxena, Muhammad Suhail Saleem, Maxim Likhachev
http://arxiv.org/abs/2102.04324v1
• [cs.RO]Sensor Planning for Large Numbers of Robots
Micah Corah
http://arxiv.org/abs/2102.04054v1
• [cs.RO]Standard and Event Cameras Fusion for Dense Mapping
Yan Dong
http://arxiv.org/abs/2102.03567v1
• [cs.RO]The Autonomous Siemens Tram
Andrew W. Palmer, Albi Sema, Wolfram Martens, Peter Rudolph, Wolfgang Waizenegger
http://arxiv.org/abs/2102.04034v1
• [cs.RO]Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks
Luca Marzari, Ameya Pore, Diego Dall’Alba, Gerardo Aragon-Camarasa, Alessandro Farinelli, Paolo Fiorini
http://arxiv.org/abs/2102.04022v1
• [cs.SC]Polynomial Linear System Solving with Random Errors: new bounds and early termination technique
Guerrini Eleonora, Lebreton Romain, Zappatore Ilaria
http://arxiv.org/abs/2102.04182v1
• [cs.SD]An Update of a Progressively Expanded Database for Automated Lung Sound Analysis
Fu-Shun Hsu, Shang-Ran Huang, Chien-Wen Huang, Yuan-Ren Cheng, Chun-Chieh Chen, Jack Hsiao, Chung-Wei Chen, Feipei Lai
http://arxiv.org/abs/2102.04062v1
• [cs.SD]Extracting the Locus of Attention at a Cocktail Party from Single-Trial EEG using a Joint CNN-LSTM Model
Ivine Kuruvila, Jan Muncke, Eghart Fischer, Ulrich Hoppe
http://arxiv.org/abs/2102.03957v1
• [cs.SD]Federated Acoustic Modeling For Automatic Speech Recognition
Xiaodong Cui, Songtao Lu, Brian Kingsbury
http://arxiv.org/abs/2102.04429v1
• [cs.SD]LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search
Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Jinzhu Li, Sheng Zhao, Enhong Chen, Tie-Yan Liu
http://arxiv.org/abs/2102.04040v1
• [cs.SD]U-vectors: Generating clusterable speaker embedding from unlabeled data
M. F. Mridha, Abu Quwsar Ohi, M. Ameer Ali, Muhammad Mostafa Monowar, Md. Abdul Hamid
http://arxiv.org/abs/2102.03868v1
• [cs.SE]Graph Neural Network to Dilute Outliers for Refactoring Monolith Application
Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam
http://arxiv.org/abs/2102.03827v1
• [cs.SE]Recommending More Efficient Workflows to Software Developers
Dylan Bates
http://arxiv.org/abs/2102.03670v1
• [cs.SI]“Short is the Road that Leads from Fear to Hate”: Fear Speech in Indian WhatsApp Groups
Punyajoy Saha, Binny Mathew, Kiran Garimella, Animesh Mukherjee
http://arxiv.org/abs/2102.03870v1
• [cs.SI]A Network Based Approach to Characterize Twenty-First-Century Populism in Colombia
Juan D. Garcia-Arteaga, Valentina Pellegrino
http://arxiv.org/abs/2102.03429v1
• [cs.SI]Asynchronous semi-anonymous dynamics over large-scale networks
Chiara Ravazzi, Giacomo Como, Michele Garetto, Emilio Leonardi, Alberto Tarable
http://arxiv.org/abs/2102.03840v1
• [cs.SI]Community Detection: Exact Recovery in Weighted Graphs
Mohammad Esmaeili, Aria Nosratinia
http://arxiv.org/abs/2102.04439v1
• [cs.SI]Competition Dynamics in the Meme Ecosystem
Trenton Ford, Rachel Krohn, Tim Weninger
http://arxiv.org/abs/2102.03952v1
• [cs.SI]Effective and Scalable Clustering on Massive Attribut
c23
ed Graphs
Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao
http://arxiv.org/abs/2102.03826v1
• [cs.SI]Exploring the Subgraph Density-Size Trade-off via the Lovász Extension
Aritra Konar, Nicholas D. Sidiropoulos
http://arxiv.org/abs/2102.03434v1
• [cs.SI]Measuring Place Connectivity Using Big Social Media Data
Zhenlong Li, Xiao Huang, Xinyue Ye, Yuqin Jiang, Martin Yago, Huan Ning, Michael E. Hodgson, Xiaoming Li
http://arxiv.org/abs/2102.03991v1
• [cs.SI]Opinion Dynamics Incorporating Higher-Order Interactions
Zuobai Zhang, Wanyue Xu, Zhongzhi Zhang
http://arxiv.org/abs/2102.03569v1
• [cs.SI]Overcoming Bias in Community Detection Evaluation
Jeancarlo Campos Leão, Alberto H. F. Laender, Pedro O. S. Vaz de Melo
http://arxiv.org/abs/2102.03472v1
• [cs.SI]Rihanna versus Bollywood: Twitter Influencers and the Indian Farmers’ Protest
Dibyendu Mishra, Syeda Zainab Akbar, Arshia Arya, Saloni Dash, Rynaa Grover, Joyojeet Pal
http://arxiv.org/abs/2102.04031v1
• [eess.AS]EMA2S: An End-to-End Multimodal Articulatory-to-Speech System
Yu-Wen Chen, Kuo-Hsuan Hung, Shang-Yi Chuang, Jonathan Sherman, Wen-Chin Huang, Xugang Lu, Yu Tsao
http://arxiv.org/abs/2102.03786v1
• [eess.AS]End-to-End Multi-Channel Transformer for Speech Recognition
Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Brian King, Siegfried Kunzmann
http://arxiv.org/abs/2102.03951v1
• [eess.AS]Non-linear frequency warping using constant-Q transformation for speech emotion recognition
Premjeet Singh, Goutam Saha, Md Sahidullah
http://arxiv.org/abs/2102.04029v1
• [eess.AS]Speaker attribution with voice profiles by graph-based semi-supervised learning
Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno
http://arxiv.org/abs/2102.03634v1
• [eess.AS]Switching Variational Auto-Encoders for Noise-Agnostic Audio-visual Speech Enhancement
Mostafa Sadeghi, Xavier Alameda-Pineda
http://arxiv.org/abs/2102.04144v1
• [eess.AS]Time-Domain Speech Extraction with Spatial Information and Multi Speaker Conditioning Mechanism
Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker
http://arxiv.org/abs/2102.03762v1
• [eess.IV]A Systematic Approach for MRI Brain Tumor Localization, and Segmentation using Deep Learning and Active Contouring
Shanaka Ramesh Gunasekara, H. N. T. K. Kaldera, Maheshi B. Dissanayake
http://arxiv.org/abs/2102.03532v1
• [eess.IV]A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning
Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen
http://arxiv.org/abs/2102.03837v1
• [eess.IV]Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning
Fazael Ayatollahi, Shahriar B. Shokouhi, Ritse M. Mann, Jonas Teuwen
http://arxiv.org/abs/2102.03932v1
• [eess.IV]Improved Brain Age Estimation with Slice-based Set Networks
Umang Gupta, Pradeep Lam, Greg Ver Steeg, Paul Thompson
http://arxiv.org/abs/2102.04438v1
• [eess.IV]Predicting Eye Fixations Under Distortion Using Bayesian Observers
Zhengzhong Tu
http://arxiv.org/abs/2102.03675v1
• [eess.IV]Rapid Classification of Glaucomatous Fundus Images
Hardit Singh, Simarjeet Saini, Vasudevan Lakshminarayanan
http://arxiv.org/abs/2102.04400v1
• [eess.IV]Segmentasi Citra Menggunakan Metode Watershed Transform Berdasarkan Image Enhancement Dalam Mendeteksi Embrio Telur
Shoffan Saifullah
http://arxiv.org/abs/2102.04202v1
• [eess.SP]A Greedy Graph Search Algorithm Based on Changepoint Analysis for Automatic QRS Complex Detection
Atiyeh Fotoohinasab, Toby Hocking, Fatemeh Afghah
http://arxiv.org/abs/2102.03538v1
• [eess.SP]An Efficient Active Set Algorithm for Covariance Based Joint Data and Activity Detection for Massive Random Access with Massive MIMO
Ziyue Wang, Zhilin Chen, Ya-Feng Liu, Foad Sohrabi, Wei Yu
http://arxiv.org/abs/2102.03490v1
• [eess.SP]Continuous Monitoring of Blood Pressure with Evidential Regression
Hyeongju Kim, Woo Hyun Kang, Hyeonseung Lee, Nam Soo Kim
http://arxiv.org/abs/2102.03542v1
• [eess.SP]Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach
Jiawei Shao, Yuyi Mao, Jun Zhang
http://arxiv.org/abs/2102.04170v1
• [eess.SP]MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification
Phairot Autthasan, Rattanaphon Chaisaen, Thapanun Sudhawiyangkul, Phurin Rangpong, Suktipol Kiatthaveephong, Nat Dilokthanakul, Gun Bhakdisongkhram, Huy
1000
Phan, Cuntai Guan, Theerawit Wilaiprasitporn
http://arxiv.org/abs/2102.03814v1
• [eess.SP]Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing
Zhou Zhou, Kangjun Bai, Nima Mohammadi, Yang Yi, Lingjia Liu
http://arxiv.org/abs/2102.03688v1
• [eess.SP]WiSleep: Scalable Sleep Monitoring and Analytics Using Passive WiFi Sensing
Priyanka Mary Mammen, Camellia Zakaria, Tergel Molom-Ochir, Amee Trivedi, Prashant Shenoy, Rajesh Balan
http://arxiv.org/abs/2102.03690v1
• [eess.SY]Distributed and Asynchronous Operational Optimization of Networked Microgrids
Nima Nikmehr, Mikhail A. Bragin, Peter B. Luh, Peng Zhang
http://arxiv.org/abs/2102.03496v1
• [eess.SY]Linear Matrix Inequality Approaches to Koopman Operator Approximation
Steven Dahdah, James Richard Forbes
http://arxiv.org/abs/2102.03613v1
• [eess.SY]Monte Carlo Rollout Policy for Recommendation Systems with Dynamic User Behavior
Rahul Meshram, Kesav Kaza
http://arxiv.org/abs/2102.04321v1
• [eess.SY]Practical Fractional-Order Variable-Gain Super-Twisting Control with Application to Wafer Stages of Photolithography Systems
Zhian Kuang, Liting Sun, Huijun Gao, Masayoshi Tomizuka
http://arxiv.org/abs/2102.03540v1
• [math.CO]Local certification of graphs on surfaces
Louis Esperet, Benjamin Lévêque
http://arxiv.org/abs/2102.04133v1
• [math.CO]Toric Codes from Order Polytopes
Mahir Bilen Can, Takayuki Hibi
http://arxiv.org/abs/2102.03651v1
• [math.MG]Transport information Hessian distances
Wuchen Li
http://arxiv.org/abs/2102.04413v1
• [math.NA]Novel Deep neural networks for solving Bayesian statistical inverse
Harbir Antil, Howard C Elman, Akwum Onwunta, Deepanshu Verma
http://arxiv.org/abs/2102.03974v1
• [math.OC]Correlated Bandits for Dynamic Pricing via the ARC algorithm
Samuel Cohen, Tanut Treetanthiploet
http://arxiv.org/abs/2102.04263v1
• [math.OC]Efficient Learning of a Linear Dynamical System with Stability Guarantees
Wouter Jongeneel, Tobias Sutter, Daniel Kuhn
http://arxiv.org/abs/2102.03664v1
• [math.OC]Optimal Transport in the Face of Noisy Data
Bart P. G. Van Parys
http://arxiv.org/abs/2102.04363v1
• [math.OC]Partition-based formulations for mixed-integer optimization of trained ReLU neural networks
Calvin Tsay, Jan Kronqvist, Alexander Thebelt, Ruth Misener
http://arxiv.org/abs/2102.04373v1
• [math.OC]SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality
Courtney Paquette, Kiwon Lee, Fabian Pedregosa, Elliot Paquette
http://arxiv.org/abs/2102.04396v1
• [math.ST]Discrete Max-Linear Bayesian Networks
Benjamin Hollering, Seth Sullivant
http://arxiv.org/abs/2102.03426v1
• [math.ST]Edgeworth approximations for distributions of symmetric statistics
Friedrich Götze, Mindaugas Bloznelis
http://arxiv.org/abs/2102.03589v1
• [math.ST]Online Statistical Inference for Gradient-free Stochastic Optimization
Xi Chen, Zehua Lai, He Li, Yichen Zhang
http://arxiv.org/abs/2102.03389v1
• [math.ST]Online nonparametric regression with Sobolev kernels
Oleksandr Zadorozhnyi, Pierre Gaillard, Sebastien Gerschinovitz, Alessandro Rudi
http://arxiv.org/abs/2102.03594v1
• [math.ST]Prepivoted permutation tests
Colin B. Fogarty
http://arxiv.org/abs/2102.04423v1
• [physics.chem-ph]Learning the exchange-correlation functional from nature with fully differentiable density functional theory
Muhammad F. Kasim, Sam M. Vinko
http://arxiv.org/abs/2102.04229v1
• [physics.chem-ph]Study on the simulation control of neural network algorithm in thermally coupled distillation
ZhaoLan Zheng, Yu Qi
http://arxiv.org/abs/2102.03506v1
• [physics.comp-ph]Physics-aware, deep probabilistic modeling of multiscale dynamics in the Small Data regime
Sebastian Kaltenbach, Phaedon-Stelios Koutsourelakis
http://arxiv.org/abs/2102.04269v1
• [physics.soc-ph]Scaling of social interactions across animal species
Luis E C Rocha, Jan Ryckebusch, Koen Schoors, Matthew Smith
http://arxiv.org/abs/2102.04298v1
• [q-bio.BM]A Systematic Comparison Study on Hyperparameter Optimisation of Graph Neural Networks for Molecular Property Prediction
Yingfang Yuan, Wenjun Wang, Wei Pang
http://arxiv.org/abs/2102.04283v1
• [q-bio.BM]Mimetic Neural Networks: A unified framework for Protein Design and Folding
Moshe Eliasof, Tue Boesen, Eldad Haber, Chen Keasar, Eran Treister
http://arxiv.org/abs/2102.03881v1
• [q-bio.GN]Bacteriophage classification for assembled contigs using Graph Convolutional Network
Jiayu Shang, Jingzhe Jiang, Yanni Sun
http://arxiv.org/abs/2102.03746v1
• [q-bio.GN]Data-driven design of targeted gene panels for estimating immunotherapy biomarkers
Timothy I. Cannings, Jacob R. Bradley
http://arxiv.org/abs/2102.04296v1
• [q-bio.PE]COVIDHunter: An Accurate, Flexible, and Environment-Aware Open-Source COVID-19 Outbreak Simulation Model
Mohammed Alser, Jeremie S. Kim, Nour Almadhoun Alserr, Stefan W. Tell, Onur Mutlu
http://arxiv.org/abs/2102.03667v1
• [q-fin.PM]A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management
Zhenhan Huang, Fumihide Tanaka
http://arxiv.org/abs/2102.03502v1
• [quant-ph]Constructios of l-adic t-deletion-correcting quantum codes
Ryutaroh Matsumoto, Manabu Hagiwara
http://arxiv.org/abs/2102.04230v1
• [quant-ph]Long-time simulations with high fidelity on quantum hardware
Joe Gibbs, Kaitlin Gili, Zoë Holmes, Benjamin Commeau, Andrew Arrasmith, Lukasz Cincio, Patrick J. Coles, Andrew Sornborger
http://arxiv.org/abs/2102.04313v1
• [stat.AP]A Practical Model-based Segmentation Approach for Accurate Activation Detection in Single-Subject functional Magnetic Resonance Imaging Studies
Wei-Chen Chen, Ranjan Maitra
http://arxiv.org/abs/2102.03639v1
• [stat.AP]A psychometric modeling approach to fuzzy rating data
Antonio Calcagnì, Niccolò Cao, Enrico Rubaltelli, Luigi Lombardi
http://arxiv.org/abs/2102.04273v1
• [stat.AP]Anomaly Detection in Energy Usage Patterns
Henry Linder, Nalini Ravishanker, Ming-Hui Chen, David McIntosh, Stanley Nolan
http://arxiv.org/abs/2102.03894v1
• [stat.AP]Bipartisan politics and poverty as a risk factor for contagion and mortality from SARS-CoV-2 virus in the United States of America
Cesar R. Salas-Guerra
http://arxiv.org/abs/2102.04335v1
• [stat.AP]Data-adaptive Dimension Reduction for US Mortality Forecasting
Lingyu He, Fei Huang, Yanrong Yang
http://arxiv.org/abs/2102.04123v1
• [stat.AP]Exploratory Data Analysis for Airline Disruption Management
Kolawole Ogunsina, Ilias Bilionis, Daniel DeLaurentis
http://arxiv.org/abs/2102.03711v1
• [stat.AP]Multichannel adaptive signal detection: Basic theory and literature review
Weijian Liu, Jun Liu, Chengpeng Hao, Yongchan Gao, Yong-Liang Wang
http://arxiv.org/abs/2102.03474v1
• [stat.AP]SONIC: SOcial Network with Influencers and Communities
Cathy Yi-Hsuan Chen, Wolfgang Karl Härdle, Yegor Klochkov
http://arxiv.org/abs/2102.04124v1
• [stat.AP]WOMBAT: A fully Bayesian global flux-inversion framework
Andrew Zammit-Mangion, Michael Bertolacci, Jenny Fisher, Ann Stavert, Matthew L. Rigby, Yi Cao, Noel Cressie
http://arxiv.org/abs/2102.04004v1
• [stat.ME]A test for comparing conditional ROC curves with multidimensional covariates
Arís Fanjul-Hevia, Juan Carlos Pardo-Fernández, Ingrid Van Keilegom, Wenceslao González-Manteiga
http://arxiv.org/abs/2102.04143v1
• [stat.ME]An empirical comparison and characterisation of nine popular clustering methods
Christian Hennig
http://arxiv.org/abs/2102.03645v1
• [stat.ME]Changepoint detection on a graph of time series
Karl L. Hallgren, Nicholas A. Heard, Melissa J. M. Turcotte
http://arxiv.org/abs/2102.04112v1
• [stat.ME]Estimating the treatment effect for adherers using multiple imputation
Junxiang Luo, Stephen J. Ruberg, Yongming Qu
http://arxiv.org/abs/2102.03499v1
• [stat.ME]Nested Group Testing Procedures for Screening
Yaakov Malinovsky, Paul S. Albert
http://arxiv.org/abs/2102.03652v1
• [stat.ME]RaSE: A Variable Screening Framework via Random Subspace Ensembles
Ye Tian, Yang Feng
http://arxiv.org/abs/2102.03892v1
• [stat.ML]A Bayesian nonparametric approach to count-min sketch under power-law data streams
Emanuele Dolera, Stefano Favaro, Stefano Peluchetti
http://arxiv.org/abs/2102.03743v1
• [stat.ML]Active learning for distributionally robust level-set estimation
Yu Inatsu, Shogo Iwazaki, Ichiro Takeuchi
http://arxiv.org/abs/2102.04000v1
• [stat.ML]Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes
Marcus M. Noack, James A. Sethian
http://arxiv.org/abs/2102.03432v1
• [stat.ML]Analysis of the Effectiveness of Face-Coverings on the Death Rate of COVID-19 Using Machine Learning
Ali Lafzi, Miad Boodaghi, Siavash Zamani, Niyousha Mohammadshafie
http://arxiv.org/abs/2102.04419v1
• [stat.ML]Bootstrapping Statistical Inference for Off-Policy Evaluation
Botao Hao, Xiang, Ji, Yaqi Duan, Hao Lu, Csaba Szepesvári, Mengdi Wang
http://arxiv.org/abs/2102.03607v1
• [stat.ML]Causal version of Principle of Insufficient Reason and MaxEnt
Dominik Janzing
http://arxiv.org/abs/2102.03906v1
• [stat.ML]Constrained Ensemble Langevin Monte Carlo
Zhiyan Ding, Qin Li
http://arxiv.org/abs/2102.04279v1
• [stat.ML]Determinantal consensus clustering
Serge Vicente, Alejandro Murua
http://arxiv.org/abs/2102.03948v1
• [stat.ML]Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares
Hiroaki Yamada, Makoto Yamada
http://arxiv.org/abs/2102.04108v1
• [stat.ML]EigenGame Unloaded: When playing games is better than optimizing
Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel
http://arxiv.org/abs/2102.04152v1
• [stat.ML]Exclusive Topic Modeling
Hao Lei, Ying Chen
http://arxiv.org/abs/2102.03525v1
• [stat.ML]Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data
Jiacheng Zhu, Aritra Guha, Mengdi Xu, Yingchen Ma, Rayleigh Lei, Vincenzo Loffredo, XuanLong Nguyen, Ding Zhao
http://arxiv.org/abs/2102.03895v1
• [stat.ML]Infinite-channel deep stable convolutional neural networks
Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti
http://arxiv.org/abs/2102.03739v1
• [stat.ML]Latent Map Gaussian Processes for Mixed Variable Metamodeling
Nicholas Oune, Ramin Bostanabad
http://arxiv.org/abs/2102.03935v1
• [stat.ML]Learning to Generate Fair Clusters from Demonstrations
Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein
http://arxiv.org/abs/2102.03977v1
• [stat.ML]Robust Principal Component Analysis: A Median of Means Approach
Debolina Paul, Saptarshi Chakraborty, Swagatam Das
http://arxiv.org/abs/2102.03403v1
• [stat.ML]The Limits of Computation in Solving Equity Trade-Offs in Machine Learning and Justice System Risk Assessment
Jesse Russell
http://arxiv.org/abs/2102.04342v1
• [stat.ML]Towards a mathematical framework to inform Neural Network modelling via Polynomial Regression
Pablo Morala, Jenny Alexandra Cifuentes, Rosa E. Lillo, Iñaki Ucar
http://arxiv.org/abs/2102.03865v1
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