归档 - 今日学术视野(2021.7.21) - 《爱可可老师分享》

cs.AI - 人工智能
cs.AR - 硬件体系结构
cs.CE - 计算工程、金融和科学
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DB - 数据库
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.GR - 计算机图形学
cs.GT - 计算机科学与博弈论
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.MM - 多媒体
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.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
econ.TH - 理论经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
math.AC - 交换代数
math.AG - 代数几何
math.DS - 动力系统
math.NA - 数值分析
math.OC - 优化与控制
math.ST - 统计理论
physics.data-an - 数据分析、统计和概率
q-bio.BM - 生物分子
q-fin.ST - 统计金融学
quant-ph - 量子物理
stat.AP - 应用统计
stat.CO - 统计计算
stat.ME - 统计方法论
stat.ML - (统计)机器学习

• [cs.AI]A Topological Perspective on Causal Inference
• [cs.AI]Constraint Answer Set Programming: Integrational and Translational (or SMT-based) Approaches
• [cs.AI]E-PDDL: A Standardized Way of Defining Epistemic Planning Problems
• [cs.AI]Implicit Communication as Minimum Entropy Coupling
• [cs.AI]Reasoning about actions with EL ontologies with temporal answer sets
• [cs.AI]Unsupervised Skill-Discovery and Skill-Learning in Minecraft
• [cs.AR]NERO: Accelerating Weather Prediction using Near-Memory Reconfigurable Fabric
• [cs.CE]Compressed particle methods for expensive models with application in Astronomy and Remote Sensing
• [cs.CL]A pattern recognition approach for distinguishing between prose and poetry
• [cs.CL]Architectures of Meaning, A Systematic Corpus Analysis of NLP Systems
• [cs.CL]Argument Linking: A Survey and Forecast
• [cs.CL]As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation
• [cs.CL]Bridging the Gap between Language Model and Reading Comprehension: Unsupervised MRC via Self-Supervision
• [cs.CL]Clinical Relation Extraction Using Transformer-based Models
• [cs.CL]Cobordisms and commutative categorial grammars
• [cs.CL]Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images
• [cs.CL]Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking
• [cs.CL]Darmok and Jalad at Tanagra: A Dataset and Model for English-to-Tamarian Translation
• [cs.CL]DeHumor: Visual Analytics for Decomposing Humor
• [cs.CL]Dynamic Transformer for Efficient Machine Translation on Embedded Devices
• [cs.CL]Exploring the Potential of Lexical Paraphrases for Mitigating Noise-Induced Comprehension Errors
• [cs.CL]Generative Pretraining for Paraphrase Evaluation
• [cs.CL]Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech
• [cs.CL]Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages
• [cs.CL]Learning De-identified Representations of Prosody from Raw Audio
• [cs.CL]MemSum: Extractive Summarization of Long Documents using Multi-step Episodic Markov Decision Processes
• [cs.CL]On the Copying Behaviors of Pre-Training for Neural Machine Translation
• [cs.CL]Overview and Insights from the SciVer Shared Task on Scientific Claim Verification
• [cs.CL]Pre-trained Language Models as Prior Knowledge for Playing Text-based Games
• [cs.CL]Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals
• [cs.CL]Simultaneous Speech Translation for Live Subtitling: from Delay to Display
• [cs.CL]The Law of Large Documents: Understanding the Structure of Legal Contracts Using Visual Cues
• [cs.CL]Translatotron 2: Robust direct speech-to-speech translation
• [cs.CR]Deceptive Logic Locking for Hardware Integrity Protection against Machine Learning Attacks
• [cs.CR]EvilModel: Hiding Malware Inside of Neural Network Models
• [cs.CR]MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI
• [cs.CV]A Benchmark for Gait Recognition under Occlusion Collected by Multi-Kinect SDAS
• [cs.CV]A High-Performance Adaptive Quantization Approach for Edge CNN Applications
• [cs.CV]A Miniature Biological Eagle-Eye Vision System for Small Target Detection
• [cs.CV]A Positive/Unlabeled Approach for the Segmentation of Medical Sequences using Point-Wise Supervision
• [cs.CV]A Systematical Solution for Face De-identification
• [cs.CV]AS-MLP: An Axial Shifted MLP Architecture for Vision
• [cs.CV]Action Forecasting with Feature-wise Self-Attention
• [cs.CV]Agent-Environment Network for Temporal Action Proposal Generation
• [cs.CV]Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap
• [cs.CV]Co-Teaching: An Ark to Unsupervised Stereo Matching
• [cs.CV]CodeMapping: Real-Time Dense Mapping for Sparse SLAM using Compact Scene Representations
• [cs.CV]Disentangling and Vectorization: A 3D Visual Perception Approach for Autonomous Driving Based on Surround-View Fisheye Cameras
• [cs.CV]Double Similarity Distillation for Semantic Image Segmentation
• [cs.CV]Dynamic Convolution for 3D Point Cloud Instance Segmentation
• [cs.CV]Exploring Set Similarity for Dense Self-supervised Representation Learning
• [cs.CV]Face.evoLVe: A High-Performance Face Recognition Library
• [cs.CV]Facial Expressions Recognition with Convolutional Neural Networks
• [cs.CV]Feature Mining: A Novel Training Strategy for Convolutional Neural Network
• [cs.CV]Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning
• [cs.CV]Fully Automated Machine Learning Pipeline for Echocardiogram Segmentation
• [cs.CV]GenRadar: Self-supervised Probabilistic Camera Synthesis based on Radar Frequencies
• [cs.CV]Heterogeneous Face Frontalization via Domain Agnostic Learning
• [cs.CV]Image Fusion Transformer
• [cs.CV]InsPose: Instance-Aware Networks for Single-Stage Multi-Person Pose Estimation
• [cs.CV]Joint Dermatological Lesion Classification and Confidence Modeling with Uncertainty Estimation
• [cs.CV]Joint Implicit Image Function for Guided Depth Super-Resolution
• [cs.CV]LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation
• [cs.CV]Learning point embedding for 3D data processing
• [cs.CV]Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images
• [cs.CV]Looking Twice for Partial Clues: Weakly-supervised Part-Mentored Attention Network for Vehicle Re-Identification
• [cs.CV]Non-binary deep transfer learning for imageclassification
• [cs.CV]OODformer: Out-Of-Distribution Detection Transformer
• [cs.CV]PICASO: Permutation-Invariant Cascaded Attentional Set Operator
• [cs.CV]Precise Aerial Image Matching based on Deep Homography Estimation
• [cs.CV]RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition
• [cs.CV]RECIST-Net: Lesion detection via grouping keypoints on RECIST-based annotation
• [cs.CV]SCV-Stereo: Learning Stereo Matching from a Sparse Cost Volume
• [cs.CV]Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning
• [cs.CV]Semi-supervised Cell Detection in Time-lapse Images Using Temporal Consistency
• [cs.CV]Transductive image segmentation: Self-training and effect of uncertainty estimation
• [cs.CV]UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition
• [cs.CV]Unsupervised Embedding Learning from Uncertainty Momentum Modeling
• [cs.CV]Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark
• [cs.CV]VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
• [cs.CV]Woodscape Fisheye Semantic Segmentation for Autonomous Driving — CVPR 2021 OmniCV Workshop Challenge
• [cs.CV]YOLOX: Exceeding YOLO Series in 2021
• [cs.CY]A congested schedule-based dynamic transit passenger flow estimator using stop count data
• [cs.CY]Adaptive Priority-based Conflict Resolution of IoT Services
• [cs.CY]Desiderata for Explainable AI in statistical production systems of the European Central Bank
• [cs.CY]T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems
• [cs.CY]Using automated decision-making (ADM) to allocate Covid-19 vaccinations? Exploring the roles of trust and social group preference on the legitimacy of ADM vs. human decision-making
• [cs.DB]Chef: a cheap and fast pipeline for iteratively cleaning label uncertainties
• [cs.DB]Optimal Resource Allocation for Serverless Queries
• [cs.DC]A Bilevel Programming Framework for Joint Edge Resource Management and Pricing
• [cs.DC]Effective GPU Sharing Under Compiler Guidance
• [cs.DC]Revisiting the Primal-Dual Method of Multipliers for Optimisation over Centralised Networks
• [cs.DC]Robust Composition of Drone Delivery Services under Uncertainty
• [cs.DC]Secure Aerial Surveillance using Split Learning
• [cs.DC]System-Wide Security for Offline Payment Terminals
• [cs.DC]Throughput Maximization of UAV Networks
• [cs.DS]Learning Augmented Online Facility Location
• [cs.ET]Wave-based extreme deep learning based on non-linear time-Floquet entanglement
• [cs.GR]Synthesizing Human Faces using Latent Space Factorization and Local Weights (Extended Version)
• [cs.GT]Test-optional Policies: Overcoming Strategic Behavior and Informational Gaps
• [cs.HC]Harmonizing the Cacophony: An Affordance-aware Framework of Audio-Based Social Platform Moderation
• [cs.IR]A Discriminative Semantic Ranker for Question Retrieval
• [cs.IR]Neural Search: Learning Query and Product Representations in Fashion E-commerce
• [cs.IR]Recommending best course of treatment based on similarities of prognostic markers
• [cs.IR]Unsupervised Identification of Relevant Prior Cases
• [cs.IT]A Practical Algorithm Design and Evaluation for Heterogeneous Elastic Computing with Stragglers
• [cs.IT]A Tree Search Approach for Maximum-Likelihood Decoding of Reed-Muller Codes
• [cs.IT]A Universal Lossless Compression Method applicable to Sparse Graphs and Heavy-Tailed Sparse Graphs
• [cs.IT]A unified polar decoder platform for low-power and low-cost devices
• [cs.IT]Compact User-Side Reconfigurable Intelligent Surfaces for Uplink Transmission
• [cs.IT]Conveying individual source sequences over memoryless channels using finite-state decoders with source side information
• [cs.IT]Data Partition and Rate Control for Learning and Energy Efficient Edge Intelligence
• [cs.IT]Downlink MIMO-RSMA with Successive Null-Space Precoding
• [cs.IT]Energy Efficient Data Recovery from Corrupted LoRa Frames
• [cs.IT]Fast polar codes for terabits-per-second throughput communications
• [cs.IT]Influence of a Set of Variables on a Boolean Function
• [cs.IT]Mismatched Estimation of rank-one symmetric matrices under Gaussian noise
• [cs.IT]Quantization-Aided Secrecy: FD C-RAN Communications with Untrusted Radios
• [cs.IT]Regular Perturbation and Achievable Rates of Space-Division Multiplexed Optical Channels
• [cs.IT]Reliability and User-Plane Latency Analysis of mmWave Massive MIMO for Grant-Free URLLC Applications
• [cs.IT]Tools for Analysis of Shannon-Kotel’nikov Mappings
• [cs.LG]A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues
• [cs.LG]A New Adaptive Gradient Method with Gradient Decomposition
• [cs.LG]A New Distributed Method for Training Generative Adversarial Networks
• [cs.LG]A New Representation of Successor Features for Transfer across Dissimilar Environments
• [cs.LG]A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing [technical report]
• [cs.LG]A Theory of PAC Learnability of Partial Concept Classes
• [cs.LG]A method for estimating the entropy of time series using artificial neural network
• [cs.LG]A note on the article “On Exploiting Spectral Properties for Solving MDP with Large State Space”
• [cs.LG]A stepped sampling method for video detection using LSTM
• [cs.LG]Adaptive Transfer Learning on Graph Neural Networks
• [cs.LG]An Analysis of Reinforcement Learning for Malaria Control
• [cs.LG]An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging
• [cs.LG]AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning
• [cs.LG]Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling
• [cs.LG]BEDS-Bench: Behavior of EHR-models under Distributional Shift—A Benchmark
• [cs.LG]CETransformer: Casual Effect Estimation via Transformer Based Representation Learning
• [cs.LG]COVID-19 Multidimensional
1000
Kaggle Literature Organization
• [cs.LG]Causal Inference Struggles with Agency on Online Platforms
• [cs.LG]Constraints Penalized Q-Learning for Safe Offline Reinforcement Learning
• [cs.LG]Decentralized Multi-Agent Reinforcement Learning for Task Offloading Under Uncertainty
• [cs.LG]Decentralized federated learning of deep neural networks on non-iid data
• [cs.LG]Declarative Machine Learning Systems
• [cs.LG]Decoupling Exploration and Exploitation in Reinforcement Learning
• [cs.LG]Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability
• [cs.LG]Early-Phase Performance-Driven Design using Generative Models
• [cs.LG]Epistemic Neural Networks
• [cs.LG]Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization
• [cs.LG]Exploring the efficacy of neural networks for trajectory compression and the inverse problem
• [cs.LG]Fair Balance: Mitigating Machine Learning Bias Against Multiple Protected Attributes With Data Balancing
• [cs.LG]GoTube: Scalable Stochastic Verification of Continuous-Depth Models
• [cs.LG]GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation
• [cs.LG]Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences
• [cs.LG]GuideBoot: Guided Bootstrap for Deep Contextual Bandits
• [cs.LG]Hierarchical Few-Shot Imitation with Skill Transition Models
• [cs.LG]Hierarchical Reinforcement Learning with Optimal Level Synchronization based on a Deep Generative Model
• [cs.LG]High-Accuracy Model-Based Reinforcement Learning, a Survey
• [cs.LG]Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints
• [cs.LG]Interpreting Process Predictions using a Milestone-Aware Counterfactual Approach
• [cs.LG]Introducing a Family of Synthetic Datasets for Research on Bias in Machine Learning
• [cs.LG]Just Train Twice: Improving Group Robustness without Training Group Information
• [cs.LG]Know Thyself: Transferable Visuomotor Control Through Robot-Awareness
• [cs.LG]Learning Attributed Graph Representations with Communicative Message Passing Transformer
• [cs.LG]Learning to Limit Data Collection via Scaling Laws: Data Minimization Compliance in Practice
• [cs.LG]Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce
• [cs.LG]Long-term series forecasting with Query Selector — efficient model of sparse attention
• [cs.LG]M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis
• [cs.LG]Markov Blanket Discovery using Minimum Message Length
• [cs.LG]Megaverse: Simulating Embodied Agents at One Million Experiences per Second
• [cs.LG]Multimodal Reward Shaping for Efficient Exploration in Reinforcement Learning
• [cs.LG]On the Robustness of Deep Reinforcement Learning in IRS-Aided Wireless Communications Systems
• [cs.LG]Path Integrals for the Attribution of Model Uncertainties
• [cs.LG]Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses
• [cs.LG]Probabilistic Verification of Neural Networks Against Group Fairness
• [cs.LG]Provably Efficient Multi-Task Reinforcement Learning with Model Transfer
• [cs.LG]Reasoning-Modulated Representations
• [cs.LG]Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning
• [cs.LG]Rethinking Graph Autoencoder Models for Attributed Graph Clustering
• [cs.LG]RingFed: Reducing Communication Costs in Federated Learning on Non-IID Data
• [cs.LG]RobustFed: A Truth Inference Approach for Robust Federated Learning
• [cs.LG]STRODE: Stochastic Boundary Ordinary Differential Equation
• [cs.LG]Self Training with Ensemble of Teacher Models
• [cs.LG]Sleep Staging Based on Serialized Dual Attention Network
• [cs.LG]Sparse Bayesian Learning with Diagonal Quasi-Newton Method For Large Scale Classification
• [cs.LG]Structural Design Recommendations in the Early Design Phase using Machine Learning
• [cs.LG]Structured Stochastic Gradient MCMC
• [cs.LG]Structured World Belief for Reinforcement Learning in POMDP
• [cs.LG]Top-label calibration
• [cs.LG]Topological Attention for Time Series Forecasting
• [cs.LG]Train on Small, Play the Large: Scaling Up Board Games with AlphaZero and GNN
• [cs.LG]Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
• [cs.LG]VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
• [cs.MM]Detection of Double Compression in MPEG-4 Videos Using Refined Features-based CNN
• [cs.NE]A Novel Evolutionary Algorithm for Hierarchical Neural Architecture Search
• [cs.NE]Otimizacao de Redes Neurais atraves de Algoritmos Geneticos Celulares
• [cs.NI]Predictable Bandwidth Slicing with Open vSwitch
• [cs.NI]Towards autonomic orchestration of machine learning pipelines in future networks
• [cs.RO]A Multi-UAV System for Exploration and Target Finding in Cluttered and GPS-Denied Environments
• [cs.RO]Ab Initio Particle-based Object Manipulation
• [cs.RO]Autonomy 2.0: Why is self-driving always 5 years away?
• [cs.RO]CoCo: Online Mixed-Integer Control via Supervised Learning
• [cs.RO]Deformation-Aware Robotic 3D Ultrasound
• [cs.RO]Distributed Planning for Serving Cooperative Tasks with Time Windows: A Game Theoretic Approach
• [cs.RO]Dual Quaternion-Based Visual Servoing for Grasping Moving Objects
• [cs.RO]Future Intelligent Autonomous Robots, Ethical by Design. Learning from Autonomous Cars Ethics
• [cs.RO]How does a robot’s social credibility relate to its perceived trustworthiness?
• [cs.RO]Learning compliant grasping and manipulation by teleoperation with adaptive force control
• [cs.RO]ObserveNet Control: A Vision-Dynamics Learning Approach to Predictive Control in Autonomous Vehicles
• [cs.RO]Optimizing Gait Libraries via a Coverage Metric
• [cs.RO]Partially-Observed Decoupled Data-based Control (POD2C) for Complex Robotic Systems
• [cs.RO]Playful Interactions for Representation Learning
• [cs.RO]Relative Localization of Mobile Robots with Multiple Ultra-WideBand Ranging Measurements
• [cs.RO]SENSORIMOTOR GRAPH: Action-Conditioned Graph Neural Network for Learning Robotic Soft Hand Dynamics
• [cs.RO]Scalable Distributed Planning for Multi-Robot, Multi-Target Tracking
• [cs.RO]The Effects of Learning in Morphologically Evolving Robot Systems
• [cs.RO]Topology-Guided Path Planning for Reliable Visual Navigation of MAVs
• [cs.RO]Towards synthesizing grasps for 3D deformable objects with physics-based simulation
• [cs.RO]Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning
• [cs.SD]An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation
• [cs.SD]Over-Parameterization and Generalization in Audio Classification
• [cs.SE]A Survey on Data-driven Software Vulnerability Assessment and Prioritization
• [cs.SE]CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software
• [cs.SE]Multi-objective Test Case Selection Through Linkage Learning-based Crossover
• [cs.SE]Tea: Program Repair Using Neural Network Based on Program Information Attention Matrix
• [cs.SI]A Survey on Role-Oriented Network Embedding
• [cs.SI]Beyond a binary of (non)racist tweets: A four-dimensional categorical detection and analysis of racist and xenophobic opinions on Twitter in early Covid-19
• [cs.SI]Characterizing Online Engagement with Disinformation and Conspiracies in the 2020 U.S. Presidential Election
• [cs.SI]Proximity in face-to-face interaction is associated with mobile phone communication
• [econ.EM]Decoupling Shrinkage and Selection for the Bayesian Quantile Regression
• [econ.EM]Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data
• [econ.TH]Data Sharing Markets
• [eess.AS]Channel-wise Gated Res2Net: Towards Robust Detection of Synthetic Speech Attacks
• [eess.AS]On the Veracity of Local, Model-agnostic Explanations in Audio Classification: Targeted Investigations with Adversarial Examples
• [eess.IV]ANFIC: Image Compression Using Augmented Normalizing Flows
• [eess.IV]Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation
• [eess.IV]Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction
• [eess.IV]Automatic and explainable grading of meningiomas from histopathology images
• [eess.IV]Deep Open Snake Tracker for Vessel Tracing
• [eess.IV]Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures
• [eess.IV]Frequency-Supervised MR-to-CT Image Synthesis
• [eess.IV]Fully Polarimetric SAR and Single-Polarization SAR Image Fusion Network
• [eess.IV]Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units
• [eess.IV]Input Agnostic Deep Learning for Alzheimer’s Disease Classification Using Multimodal MRI Images
• [eess.IV]Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting
• [eess.IV]Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation
• [eess.SP]Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis
• [eess.SY]A Duality-based Approach for Real-time Obstacle Avoidance between Polytopes with Control Barrier Functions
• [eess.SY]Co-designing Intelligent Control of Building HVACs and Microgrids
• [math.AC]From primary to dual affine variety codes over the Klein quartic
• [math.AG]Frobenius statistical manifolds & geometric invariants
• [math.DS]Support vector machines for learning reactive islands
• [math.NA]Inverse Problem of Nonlinear Schrödinger Equation as Learning of Convolutional Neural Network
• [math.OC]Data-informed Deep Optimization
• [math.OC]Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function
• [math.OC]On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems
• [math.ST]Heavy-tailed phase-type distributions: A unified approach
• [math.ST]Non-Parametric Manifold Learning
• [math.ST]Parametric estimation for functional autoregressive processes on the sphere
• [math.ST]Van Trees inequality, group equivariance, and estimation of principal subspaces
• [physics.data-an]Transport away your problems: Calibrating stochastic simulations with optimal transport
• [q-bio.BM]Analysis of training and seed bias in small molecules generated with a conditional graph-based variational autoencoder — Insights for practical AI-driven molecule generation
• [q-fin.ST]Stock Movement Prediction with Financial News using Contextualized Embedding from BERT
• [quant-ph]Asymptotic continuity of additive entanglement measures
• [quant-ph]Quantum Deep Learning: Sampling Neural Nets with a Quantum Annealer
• [quant-ph]Quantum circuits with classical channels and the principle of deferred measurements
• [stat.AP]Assessing competitive balance in the English Premier League for over forty seasons using a stochastic block model
• [stat.CO]Compressed Monte Carlo with application in particle filtering
• [stat.ME]A Proposed Hybrid Effect Size Plus $今日学术视野(2021.7.21) - 图1$ -Value Criterion: A Replication of Goodman et al. (2019)
• [stat.ME]A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models
• [stat.ME]Assessing Mediational Processes in Parallel Bilinear Spline Growth Curve Models in the Framework of Individual Measurement Occasions
• [stat.ME]Best Subset Selection: Statistical Computing Meets Quantum Computing
• [stat.ME]Calibrating the scan statistic with size-dependent critical values: heuristics, methodology and computation
• [stat.ME]Estimation of high-dimensional change-points under a group sparsity structure
• [stat.ME]Gibbs sampling for mixtures in order of appearance: the ordered allocation sampler
• [stat.ME]How balance and sample size impact bias in the estimation of causal treatment effects: A simulation study
• [stat.ME]Mind the Income Gap: Behavior of Inequality Estimators from Complex Survey Small Samples
• [stat.ME]Regression model selection via log-likelihood ratio and constrained minimum criterion
• [stat.ME]Sparse group variable selection for gene-environment interactions in the longitudinal study
• [stat.ML]Equivariant Manifold Flows
• [stat.ML]High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids
• [stat.ML]Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences
• [stat.ML]Minimising quantifier variance under prior probability shift
• [stat.ML]Model Uncertainty and Correctability for Directed Graphical Models
• [stat.ML]Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression

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• [cs.AI]A Topological Perspective on Causal Inference
Duligur Ibeling, Thomas Icard
http://arxiv.org/abs/2107.08558v1

• [cs.AI]Constraint Answer Set Programming: Integrational and Translational (or SMT-based) Approaches
Yuliya Lierler
http://arxiv.org/abs/2107.08252v1

• [cs.AI]E-PDDL: A Standardized Way of Defining Epistemic Planning Problems
Francesco Fabiano, Biplav Srivastava, Jonathan Lenchner, Lior Horesh, Francesca Rossi, Marianna Bergamaschi Ganapini
http://arxiv.org/abs/2107.08739v1

• [cs.AI]Implicit Communication as Minimum Entropy Coupling
Samuel Sokota, Christian Schroeder de Witt, Maximilian Igl, Luisa Zintgraf, Philip Torr, Shimon Whiteson, Jakob Foerster
http://arxiv.org/abs/2107.08295v1

• [cs.AI]Reasoning about actions with EL ontologies with temporal answer sets
Laura Giordano, Alberto Martelli, Daniele Theseider Dupré
http://arxiv.org/abs/2107.08403v1

• [cs.AI]Unsupervised Skill-Discovery and Skill-Learning in Minecraft
Juan José Nieto, Roger Creus, Xavier Giro-i-Nieto
http://arxiv.org/abs/2107.08398v1

• [cs.AR]NERO: Accelerating Weather Prediction using Near-Memory Reconfigurable Fabric
Gagandeep Singh, Dionysios Diamantopoulos, Juan Gómez-Luna, Christoph Hagleitner, Sander Stuijk, Henk Corporaal, Onur Mutlu
http://arxiv.org/abs/2107.08716v1

• [cs.CE]Compressed particle methods for expensive models with application in Astronomy and Remote Sensing
Luca Martino, Víctor Elvira, Javier López-Santiago, Gustau Camps-Valls
http://arxiv.org/abs/2107.08465v1

• [cs.CL]A pattern recognition approach for distinguishing between prose and poetry
Henrique F. de Arruda, Sandro M. Reia, Filipi N. Silva, Diego R. Amancio, Luciano da F. Costa
http://arxiv.org/abs/2107.08512v1

• [cs.CL]Architectures of Meaning, A Systematic Corpus Analysis of NLP Systems
Oskar Wysocki, Malina Florea, Donal Landers, Andre Freitas
http://arxiv.org/abs/2107.08124v1

• [cs.CL]Argument Linking: A Survey and Forecast
William Gantt
http://arxiv.org/abs/2107.08523v1

• [cs.CL]As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation
Jun Wang, Chang Xu, Francisco Guzman, Ahmed El-Kishky, Benjamin I. P. Rubinstein, Trevor Cohn
http://arxiv.org/abs/2107.08357v1

• [cs.CL]Bridging the Gap between Language Model and Reading Comprehension: Unsupervised MRC via Self-Supervision
Ning Bian, Xianpei Han, Bo Chen, Hongyu Lin, Ben He, Le Sun
http://arxiv.org/abs/2107.08582v1

• [cs.CL]Clinical Relation Extraction Using Transformer-based Models
Xi Yang, Zehao Yu, Yi Guo, Jiang Bian, Yonghui Wu
http://arxiv.org/abs/2107.08957v1

• [cs.CL]Cobordisms and commutative categorial grammars
Sergey Slavnov
http://arxiv.org/abs/2107.08728v1

• [cs.CL]Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images
Nyoungwoo Lee, Suwon Shin, Jaegul Choo, Ho-Jin Choi, Sung-Hyun Myaeng
http://arxiv.org/abs/2107.08685v1

• [cs.CL]Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking
Binzong Geng, Fajie Yuan, Qiancheng Xu, Ying Shen, Ruifeng Xu, Min Yang
http://arxiv.org/abs/2107.08173v1

• [cs.CL]Darmok and Jalad at Tanagra: A Dataset and Model for English-to-Tamarian Translation
Peter Jansen
http://arxiv.org/abs/2107.08146v1

• [cs.CL]DeHumor: Visual Analytics for Decomposing Humor
Xingbo Wang, Yao Ming, Tongshuang Wu, Haipeng Zeng, Yong Wang, Huamin Qu
http://arxiv.org/abs/2107.08356v1

• [cs.CL]Dynamic Transformer for Efficient Machine Translation on Embedded Devices
Hishan Parry, Lei Xun, Amin Sabet, Jia Bi, Jonathon Hare, Geoff V. Merrett
http://arxiv.org/abs/2107.08199v1

• [cs.CL]Exploring the Potential of Lexical Paraphrases for Mitigating Noise-Induced Comprehension Errors
Anupama Chingacham, Vera Demberg, Dietrich Klakow
http://arxiv.org/abs/2107.08337v1

• [cs.CL]Generative Pretraining for Paraphrase Evaluation
Jack Weston, Raphael Lenain, Udeepa Meepegama, Emil Fristed
http://arxiv.org/abs/2107.08251v1

• [cs.CL]Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech
Margherita Fanton, Helena Bonaldi, Serra Sinem Tekiroglu, Marco Guerini
http://arxiv.org/abs/2107.08720v1

• [cs.CL]Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages
Dana Ruiter, Dietrich Klakow, Josef van Genabith, Cristina España-Bonet
http://arxiv.org/abs/2107.08772v1

• [cs.CL]Learning De-identified Representations of Prosody from Raw Audio
Jack Weston, Raphael Lenain, Udeepa Meepegama, Emil Fristed
http://arxiv.org/abs/2107.08248v1

• [cs.CL]MemSum: Extractive Summarization of Long Documents using Multi-step Episodic Markov Decision Processes
Nianlong Gu, Elliott Ash, Richard H. R. Hahnloser
http://arxiv.org/abs/2107.08929v1

• [cs.CL]On the Copying Behaviors of Pre-Training for Neural Machine Translation
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu
http://arxiv.org/abs/2107.08212v1

• [cs.CL]Overview and Insights from the SciVer Shared Task on Scientific Claim Verification
David Wadden, Kyle Lo
http://arxiv.org/abs/2107.08188v1

• [cs.CL]Pre-trained Language Models as Prior Knowledge for Playing Text-based Games
Ishika Singh, Gargi Singh, Ashutosh Modi
http://arxiv.org/abs/2107.08408v1

• [cs.CL]Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals
Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du, Hao Jiang, Zhicheng Dou
http://arxiv.org/abs/2107.08329v1

• [cs.CL]Simultaneous Speech Translation for Live Subtitling: from Delay to Display
Alina Karakanta, Sara Papi, Matteo Negri, Marco Turchi
http://arxiv.org/abs/2107.08807v1

• [cs.CL]The Law of Large Documents: Understanding the Structure of Legal Contracts Using Visual Cues
Allison Hegel, Marina Shah, Genevieve Peaslee, Brendan Roof, Emad Elwany
http://arxiv.org/abs/2107.08128v1

• [cs.CL]Translatotron 2: Robust direct speech-to-speech translation
Ye Jia, Michelle Tadmor Ramanovich, Tal Remez, Roi Pomerantz
http://arxiv.org/abs/2107.08661v1

• [cs.CR]Deceptive Logic Locking for Hardware Integrity Protection against Machine Learning Attacks
Dominik Sisejkovic, Farhad Merchant, Lennart M. Reimann, Rainer Leupers
http://arxiv.org/abs/2107.08695v1

• [cs.CR]EvilModel: Hiding Malware Inside of Neural Network Models
Zhi Wang, Chaoge Liu, Xiang Cui
http://arxiv.org/abs/2107.08590v1

• [cs.CR]MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI
Takayuki Miura, Satoshi Hasegawa, Toshiki Shibahara
http://arxiv.org/abs/2107.08909v1

• [cs.CV]A Benchmark for Gait Recognition under Occlusion Collected by Multi-Kinect SDAS
Na Li, Xinbo Zhao
http://arxiv.org/abs/2107.08990v1

• [cs.CV]A High-Performance Adaptive Quantization Approach for Edge CNN Applications
Hsu-Hsun Chin, Ren-Song Tsay, Hsin-I Wu
http://arxiv.org/abs/2107.08382v1

• [cs.CV]A Miniature Biological Eagle-Eye Vision System for Small Target Detection
Shutai Wang, Qiang Fu, Yinhao Hu, Chunhua Zhang, Wei He
http://arxiv.org/abs/2107.08406v1

• [cs.CV]A Positive/Unlabeled Approach for the Segmentation of Medical Sequences using Point-Wise Supervision
Laurent Lejeune, Raphael Sznitman
http://arxiv.org/abs/2107.08394v1

• [cs.CV]A Systematical Solution for Face De-identification
Songlin Yang, Wei Wang, Yuehua Cheng, Jing Dong
http://arxiv.org/abs/2107.08581v1

• [cs.CV]AS-MLP: An Axial Shifted MLP Architecture for Vision
Dongze Lian, Zehao Yu, Xing Sun, Shenghua Gao
http://arxiv.org/abs/2107.08391v1

• [cs.CV]Action Forecasting with Feature-wise Self-Attention
Yan Bin Ng, Basura Fernando
http://arxiv.org/abs/2107.08579v1

• [cs.CV]Agent-Environment Network for Temporal Action Proposal Generation
Viet-Khoa Vo-Ho, Ngan Le, Kashu Yamazaki, Akihiro Sugimoto, Minh-Triet Tran
http://arxiv.org/abs/2107.08323v1

• [cs.CV]Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap
Hyeonwoo Cho, Kazuya Nishimura, Kazuhide Watanabe, Ryoma Bise
http://arxiv.org/abs/2107.08653v1

• [cs.CV]Co-Teaching: An Ark to Unsupervised Stereo Matching
Hengli Wang, Rui Fan, Ming Liu
http://arxiv.org/abs/2107.08186v1

• [cs.CV]CodeMapping: Real-Time Dense Mapping for Sparse SLAM using Compact Scene Representations
Hidenobu Matsuki, Raluca Scona, Jan Czarnowski, Andrew J. Davison
http://arxiv.org/abs/2107.08994v1

• [cs.CV]Disentangling and Vectorization: A 3D Visual Perception Approach for Autonomous Driving Based on Surround-View Fisheye Cameras
Zizhang Wu, Wenkai Zhang, Jizheng Wang, Man Wang, Yuanzhu Gan, Xinchao Gou, Muqing Fang, Jing Song
http://arxiv.org/abs/2107.08862v1

• [cs.CV]Double Similarity Distillation for Semantic Image Segmentation
Yingchao Feng, Xian Sun, Wenhui Diao, Jihao Li, Xin Gao
http://arxiv.org/abs/2107.08591v1

• [cs.CV]Dynamic Convolution for 3D Point Cloud Instance Segmentation
Tong He, Chunhua Shen, Anton van den Hengel
http://arxiv.org/abs/2107.08392v1

• [cs.CV]Exploring Set Similarity for Dense Self-supervised Representation Learning
Zhaoqing Wang, Qiang Li, Guoxin Zhang, Pengfei Wan, Wen Zheng, Nannan Wang, Mingming Gong, Tongliang Liu
http://arxiv.org/abs/2107.08712v1

• [cs.CV]Face.evoLVe: A High-Performance Face Recognition Library
Qingzhong Wang, Pengfei Zhang, Haoyi Xiong, Jian Zhao
http://arxiv.org/abs/2107.08621v1

• [cs.CV]Facial Expressions Recognition with Convolutional Neural Networks
Subodh Lonkar
http://arxiv.org/abs/2107.08640v1

• [cs.CV]Feature Mining: A Novel Training Strategy for Convolutional Neural Network
Tianshu Xie, Xuan Cheng, Xiaomin Wang, Minghui Liu, Jiali Deng, Ming Liu
http://arxiv.org/abs/2107.08421v1

• [cs.CV]Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning
Sayak Paul, Siddha Ganju
http://arxiv.org/abs/2107.08369v1

• [cs.CV]Fully Automated Machine Learning Pipeline for Echocardiogram Segmentation
Hang Duong Thi Thuy, Tuan Nguyen Minh, Phi Nguyen Van, Long Tran Quoc
http://arxiv.org/abs/2107.08440v1

• [cs.CV]GenRadar: Self-supervised Probabilistic Camera Synthesis based on Radar Frequencies
Carsten Ditzel, Klaus Dietmayer
http://arxiv.org/abs/2107.08948v1

• [cs.CV]Heterogeneous Face Frontalization via Domain Agnostic Learning
Xing Di, Shuowen Hu, Vishal M. Patel
http://arxiv.org/abs/2107.08311v1

• [cs.CV]Image Fusion Transformer
Vibashan VS, Jeya Maria Jose Valanarasu, Poojan Oza, Vishal M. Patel
http://arxiv.org/abs/2107.09011v1

• [cs.CV]InsPose: Instance-Aware Networks for Single-Stage Multi-Person Pose Estimation
Dahu Shi, Xing Wei, Xiaodong Yu, Wenming Tan, Ye Ren, Shiliang Pu
http://arxiv.org/abs/2107.08982v1

• [cs.CV]Joint Dermatological Lesion Classification and Confidence Modeling with Uncertainty Estimation
Gun-Hee Lee, Han-Bin Ko, Seong-Whan Lee
http://arxiv.org/abs/2107.08770v1

• [cs.CV]Joint Implicit Image Function for Guided Depth Super-Resolution
Jiaxiang Tang, Xiaokang Chen, Gang Zeng
http://arxiv.org/abs/2107.08717v1

• [cs.CV]LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation
Guoping Xu, Xingrong Wu, Xuan Zhang, Xinwei He
http://arxiv.org/abs/2107.08623v1

• [cs.CV]Learning point embedding for 3D data processing
Zhenpeng Chen
http://arxiv.org/abs/2107.08565v1

• [cs.CV]Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images
Yijin Huang, Li Lin, Pujin Cheng, Junyan Lyu, Xiaoying Tang
http://arxiv.org/abs/2107.08274v1

• [cs.CV]Looking Twice for Partial Clues: Weakly-supervised Part-Mentored Attention Network for Vehicle Re-Identification
Lisha Tang, Yi Wang, Lap-Pui Chau
http://arxiv.org/abs/2107.08228v1

• [cs.CV]Non-binary deep transfer learning for imageclassification
Jo Plested, Xuyang Shen, Tom Gedeon
http://arxiv.org/abs/2107.08585v1

• [cs.CV]OODformer: Out-Of-Distribution Detection Transformer
Rajat Koner, Poulami Sinhamahapatra, Karsten Roscher, Stephan Günnemann, Volker Tresp
http://arxiv.org/abs/2107.08976v1

• [cs.CV]PICASO: Permutation-Invariant Cascaded Attentional Set Operator
Samira Zare, Hien Van Nguyen
http://arxiv.org/abs/2107.08305v1

• [cs.CV]Precise Aerial Image Matching based on Deep Homography Estimation
Myeong-Seok Oh, Yong-Ju Lee, Seong-Whan Lee
http://arxiv.org/abs/2107.08768v1

• [cs.CV]RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition
Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang, Yuan He, Hui Xue
http://arxiv.org/abs/2107.08192v1

• [cs.CV]RECIST-Net: Lesion detection via grouping keypoints on RECIST-based annotation
Cong Xie, Shilei Cao, Dong Wei, Hongyu Zhou, Kai Ma, Xianli Zhang, Buyue Qian, Liansheng Wang, Yefeng Zheng
http://arxiv.org/abs/2107.08715v1

• [cs.CV]SCV-Stereo: Learning Stereo Matching from a Sparse Cost Volume
Hengli Wang, Rui Fan, Ming Liu
http://arxiv.org/abs/2107.08187v1

• [cs.CV]Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning
Kai Zhu, Yang Cao, Wei Zhai, Jie Cheng, Zheng-Jun Zha
http://arxiv.org/abs/2107.08918v1

• [cs.CV]Semi-supervised Cell Detection in Time-lapse Images Using Temporal Consistency
Kazuya Nishimura, Hyeonwoo Cho, Ryoma Bise
http://arxiv.org/abs/2107.08639v1

• [cs.CV]Transductive image segmentation: Self-training and effect of uncertainty estimation
Konstantinos Kamnitsas, Stefan Winzeck, Evgenios N. Kornaropoulos, Daniel Whitehouse, Cameron Englman, Poe Phyu, Norman Pao, David K. Menon, Daniel Rueckert, Tilak Das, Virginia F. J. Newcombe, Ben Glocker
http://arxiv.org/abs/2107.08964v1

• [cs.CV]UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition
Di Yang, Yaohui Wang, Antitza Dantcheva, Lorenzo Garattoni, Gianpiero Francesca, Francois Bremond
http://arxiv.org/abs/2107.08580v1

• [cs.CV]Unsupervised Embedding Learning from Uncertainty Momentum Modeling
Jiahuan Zhou, Yansong Tang, Bing Su, Ying Wu
http://arxiv.org/abs/2107.08892v1

• [cs.CV]Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark
Haopeng Li, Lingbo Liu, Kunlin Yang, Shinan Liu, Junyu Gao, Bin Zhao, Rui Zhang, Jun Hou
http://arxiv.org/abs/2107.08645v1

• [cs.CV]VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Maadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao
http://arxiv.org/abs/2107.08766v1

• [cs.CV]Woodscape Fisheye Semantic Segmentation for Autonomous Driving — CVPR 2021 OmniCV Workshop Challenge
Saravanabalagi Ramachandran, Ganesh Sistu, John McDonald, Senthil Yogamani
http://arxiv.org/abs/2107.08246v1

• [cs.CV]YOLOX: Exceeding YOLO Series in 2021
Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, Jian Sun
http://arxiv.org/abs/2107.08430v1

• [cs.CY]A congested schedule-based dynamic transit passenger flow estimator using stop count data
Qi Liu, Joseph Y. J. Chow
http://arxiv.org/abs/2107.08217v1

• [cs.CY]Adaptive Priority-based Conflict Resolution of IoT Services
Dipankar Chaki, Athman Bouguettaya
http://arxiv.org/abs/2107.08348v1

• [cs.CY]Desiderata for Explainable AI in statistical production systems of the European Central Bank
Carlos Mougan Navarro, Georgios Kanellos, Thomas Gottron
http://arxiv.org/abs/2107.08045v1

• [cs.CY]T-RECS: A Simulation Tool to Study the Societal Impact of Recommender Systems
Eli Lucherini, Matthew Sun, Amy Winecoff, Arvind Narayanan
http://arxiv.org/abs/2107.08959v1

• [cs.CY]Using automated decision-making (ADM) to allocate Covid-19 vaccinations? Exploring the roles of trust and social group preference on the legitimacy of ADM vs. human decision-making
Marco Lünich, Kimon Kieslich
http://arxiv.org/abs/2107.08946v1

• [cs.DB]Chef: a cheap and fast pipeline for iteratively cleaning label uncertainties
Yinjun Wu, James Weimer, Susan B. Davidson
http://arxiv.org/abs/2107.08588v1

• [cs.DB]Optimal Resource Allocation for Serverless Queries
Anish Pimpley, Shuo Li, Anubha Srivastava, Vishal Rohra, Yi Zhu, Soundararajan Srinivasan, Alekh Jindal, Hiren Patel, Shi Qiao, Rathijit Sen
http://arxiv.org/abs/2107.08594v1

• [cs.DC]A Bilevel Programming Framework for Joint Edge Resource Management and Pricing
Tarannum Nisha, Duong Tung Nguyen, Vijay K. Bhargava
http://arxiv.org/abs/2107.08386v1

• [cs.DC]Effective GPU Sharing Under Compiler Guidance
Chao Chen, Chris Porter, Santosh Pande
http://arxiv.org/abs/2107.08538v1

• [cs.DC]Revisiting the Primal-Dual Method of Multipliers for Optimisation over Centralised Networks
Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn
http://arxiv.org/abs/2107.08809v1

• [cs.DC]Robust Composition of Drone Delivery Services under Uncertainty
Babar Shahzaad, Sajib Mistry
http://arxiv.org/abs/2107.08450v1

• [cs.DC]Secure Aerial Surveillance using Split Learning
Yoo Jeong Ha, Minjae Yoo, Soohyun Park, Soyi Jung, Joongheon Kim
http://arxiv.org/abs/2107.08628v1

• [cs.DC]System-Wide Security for Offline Payment Terminals
Nikolay Ivanov, Qiben Yan
http://arxiv.org/abs/2107.08490v1

• [cs.DC]Throughput Maximization of UAV Networks
Wenzheng Xu, Yueying Sun, Rui Zou, Weifa Liang, Qiufen Xia, Feng Shan, Tian Wang, Zheng Li
http://arxiv.org/abs/2107.08267v1

• [cs.DS]Learning Augmented Online Facility Location
Dimitris Fotakis, Evangelia Gergatsouli, Themis Gouleakis, Nikolas Patris
http://arxiv.org/abs/2107.08277v1

• [cs.ET]Wave-based extreme deep learning based on non-linear time-Floquet entanglement
Ali Momeni, Romain Fleury
http://arxiv.org/abs/2107.08564v1

• [cs.GR]Synthesizing Human Faces using Latent Space Factorization and Local Weights (Extended Version)
Minyoung Kim, Young J. Kim
http://arxiv.org/abs/2107.08737v1

• [cs.GT]Test-optional Policies: Overcoming Strategic Behavior and Informational Gaps
Zhi Liu, Nikhil Garg
http://arxiv.org/abs/2107.08922v1

• [cs.HC]Harmonizing the Cacophony: An Affordance-aware Framework of Audio-Based Social Platform Moderation
Tanvi Bajpai, Drshika Asher, Anwesa Goswami, Eshwar Chandrasekharan
http://arxiv.org/abs/2107.09008v1

• [cs.IR]A Discriminative Semantic Ranker for Question Retrieval
Yinqiong Cai, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Yanyan Lan, Xueqi Cheng
http://arxiv.org/abs/2107.08345v1

• [cs.IR]Neural Search: Learning Query and Product Representations in Fashion E-commerce
Lakshya Kumar, Sagnik Sarkar
http://arxiv.org/abs/2107.08291v1

• [cs.IR]Recommending best course of treatment based on similarities of prognostic markers
Sudhanshu, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
http://arxiv.org/abs/2107.07500v2

• [cs.IR]Unsupervised Identification of Relevant Prior Cases
Shivangi Bithel, Sumitra S Malagi
http://arxiv.org/abs/2107.08973v1

• [cs.IT]A Practical Algorithm Design and Evaluation for Heterogeneous Elastic Computing with Stragglers
Nicholas Woolsey, Joerg Kliewer, Rong-Rong Chen, Mingyue Ji
http://arxiv.org/abs/2107.08496v1

• [cs.IT]A Tree Search Approach for Maximum-Likelihood Decoding of Reed-Muller Codes
Seyyed Ali Hashemi, Nghia Doan, Warren J. Gross, John Cioffi, Andrea Goldsmith
http://arxiv.org/abs/2107.08991v1

• [cs.IT]A Universal Lossless Compression Method applicable to Sparse Graphs and Heavy-Tailed Sparse Graphs
Payam Delgosha, Venkat Anantharam
http://arxiv.org/abs/2107.08350v1

• [cs.IT]A unified polar decoder platform for low-power and low-cost devices
Jiajie Tong, Qifan Zhang, Huazi Zhang, Rong Li, Jun Wang, Wen Tong
http://arxiv.org/abs/2107.08607v1

• [cs.IT]Compact User-Side Reconfigurable Intelligent Surfaces for Uplink Transmission
Kunzan Liu, Zijian Zhang, Linglong Dai, Lajos Hanzo
http://arxiv.org/abs/2107.08698v1

• [cs.IT]Conveying individual source sequences over memoryless channels using finite-state decoders with source side information
Neri Merhav
http://arxiv.org/abs/2107.08778v1

• [cs.IT]Data Partition and Rate Control for Learning and Energy Efficient Edge Intelligence
Xiaoyang Li, Shuai Wang, Guangxu Zhu, Ziqin Zhou, Kaibin Huang, Yi Gong
http://arxiv.org/abs/2107.08884v1

• [cs.IT]Downlink MIMO-RSMA with Successive Null-Space Precoding
Aravindh Krishnamoorthy, Robert Schober
http://arxiv.org/abs/2107.08294v1

• [cs.IT]Energy Efficient Data Recovery from Corrupted LoRa Frames
Niloofar Yazdani, Nikolaos Kouvelas, R Venkatesha Prasad, Daniel E. Lucani
http://arxiv.org/abs/2107.08868v1

• [cs.IT]Fast polar codes for terabits-per-second throughput communications
Jiajie Tong, Xianbin Wang, Qifan Zhang, Huazi Zhang, Rong Li, Jun Wang, Wen Tong
http://arxiv.org/abs/2107.08600v1

• [cs.IT]Influence of a Set of Variables on a Boolean Function
Aniruddha Biswas, Palash Sarkar
http://arxiv.org/abs/2107.08676v1

• [cs.IT]Mismatched Estimation of rank-one symmetric matrices under Gaussian noise
Farzad Pourkamali, Nicolas Macris
http://arxiv.org/abs/2107.08927v1

• [cs.IT]Quantization-Aided Secrecy: FD C-RAN Communications with Untrusted Radios
Omid Taghizadeh, Tianyu Yang, Hiroki Iimori, Giuseppe Abreu, Ali Cagatay Cirik, Rudolf Mathar
http://arxiv.org/abs/2107.08495v1

• [cs.IT]Regular Perturbation and Achievable Rates of Space-Division Multiplexed Optical Channels
Francisco Javier García-Gómez, Gerhard Kramer
http://arxiv.org/abs/2107.08858v1

• [cs.IT]Reliability and User-Plane Latency Analysis of mmWave Massive MIMO for Grant-Free URLLC Applications
Joao V. C. Evangelista, Georges Kaddoum, Zeeshan Sattar
http://arxiv.org/abs/2107.08151v1

• [cs.IT]Tools for Analysis of Shannon-Kotel’nikov Mappings
Pål Anders Floor, Tor A. Ramsted
http://arxiv.org/abs/2107.08526v1

• [cs.LG]A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues
Mohamed Abdelhack, Jiaming Zhang, Sandhya Tripathi, Bradley Fritz, Michael Avidan, Yixin Chen, Christopher King
http://arxiv.org/abs/2107.08574v1

• [cs.LG]A New Adaptive Gradient Method with Gradient Decomposition
Zhou Shao, Tong Lin
http://arxiv.org/abs/2107.08377v1

• [cs.LG]A New Distributed Method for Training Generative Adversarial Networks
Jinke Ren, Chonghe Liu, Guanding Yu, Dongning Guo
http://arxiv.org/abs/2107.08681v1

• [cs.LG]A New Representation of Successor Features for Transfer across Dissimilar Environments
Majid Abdolshah, Hung Le, Thommen Karimpanal George, Sunil Gupta, Santu Rana, Svetha Venkatesh
http://arxiv.org/abs/2107.08426v1

• [cs.LG]A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing [technical report]**
Peng Cheng, Jiabao Jin, Lei Chen, Xuemin Lin, Libin Zheng
http://arxiv.org/abs/2107.08662v1

• [cs.LG]A Theory of PAC Learnability of Partial Concept Classes
Noga Alon, Steve Hanneke, Ron Holzman, Shay Moran
http://arxiv.org/abs/2107.08444v1

• [cs.LG]A method for estimating the entropy of time series using artificial neural network
Andrei Velichko, Hanif Heidari
http://arxiv.org/abs/2107.08399v1

• [cs.LG]A note on the article “On Exploiting Spectral Properties for Solving MDP with Large State Space”
D. Maran
http://arxiv.org/abs/2107.08488v1

• [cs.LG]A stepped sampling method for video detection using LSTM
Dengshan Li, Rujing Wang, Chengjun Xie
http://arxiv.org/abs/2107.08471v1

• [cs.LG]Adaptive Transfer Learning on Graph Neural Networks
Xueting Han, Zhenhuan Huang, Bang An, Jing Bai
http://arxiv.org/abs/2107.08765v1

• [cs.LG]An Analysis of Reinforcement Learning for Malaria Control
Ndivhuwo Makondo, Arinze Lawrence Folarin, Simphiwe Nhlahla Zitha, Sekou Lionel Remy
http://arxiv.org/abs/2107.08988v1

• [cs.LG]An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging
Liangqiong Qu, Niranjan Balachandar, Daniel L Rubin
http://arxiv.org/abs/2107.08371v1

• [cs.LG]AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning
Young Geun Kim, Carole-Jean Wu
http://arxiv.org/abs/2107.08147v1

• [cs.LG]Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling
Peixin Zhang, Jingyi Wang, Jun Sun, Xinyu Wang, Guoliang Dong, Xingen Wang, Ting Dai, Jin Song Dong
http://arxiv.org/abs/2107.08176v1

• [cs.LG]BEDS-Bench: Behavior of EHR-models under Distributional Shift—A Benchmark
Anand Avati, Martin Seneviratne, Emily Xue, Zhen Xu, Balaji Lakshminarayanan, Andrew M. Dai
http://arxiv.org/abs/2107.08189v1

• [cs.LG]CETransformer: Casual Effect Estimation via Transformer Based Representation Learning
Zhenyu Guo, Shuai Zheng, Zhizhe Liu, Kun Yan, Zhenfeng Zhu
http://arxiv.org/abs/2107.08714v1

• [cs.LG]COVID-19 Multidimensional
1000
Kaggle Literature Organization
Maksim E. Eren, Nick Solovyev, Chris Hamer, Renee McDonald, Boian S. Alexandrov, Charles Nicholas
http://arxiv.org/abs/2107.08190v1

• [cs.LG]Causal Inference Struggles with Agency on Online Platforms
Smitha Milli, Luca Belli, Moritz Hardt
http://arxiv.org/abs/2107.08995v1

• [cs.LG]Constraints Penalized Q-Learning for Safe Offline Reinforcement Learning
Haoran Xu, Xianyuan Zhan, Xiangyu Zhu
http://arxiv.org/abs/2107.09003v1

• [cs.LG]Decentralized Multi-Agent Reinforcement Learning for Task Offloading Under Uncertainty
Yuanchao Xu, Amal Feriani, Ekram Hossain
http://arxiv.org/abs/2107.08114v1

• [cs.LG]Decentralized federated learning of deep neural networks on non-iid data
Noa Onoszko, Gustav Karlsson, Olof Mogren, Edvin Listo Zec
http://arxiv.org/abs/2107.08517v1

• [cs.LG]Declarative Machine Learning Systems
Piero Molino, Christopher Ré
http://arxiv.org/abs/2107.08148v1

• [cs.LG]Decoupling Exploration and Exploitation in Reinforcement Learning
Lukas Schäfer, Filippos Christianos, Josiah Hanna, Stefano V. Albrecht
http://arxiv.org/abs/2107.08966v1

• [cs.LG]Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability
Qiyiwen Zhang, Zhiqi Bu, Kan Chen, Qi Long
http://arxiv.org/abs/2107.08461v1

• [cs.LG]Early-Phase Performance-Driven Design using Generative Models
Spyridon Ampanavos, Ali Malkawi
http://arxiv.org/abs/2107.08572v1

• [cs.LG]Epistemic Neural Networks
Ian Osband, Zheng Wen, Mohammad Asghari, Morteza Ibrahimi, Xiyuan Lu, Benjamin Van Roy
http://arxiv.org/abs/2107.08924v1

• [cs.LG]Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization
Eva Bartz, Martin Zaefferer, Olaf Mersmann, Thomas Bartz-Beielstein
http://arxiv.org/abs/2107.08761v1

• [cs.LG]Exploring the efficacy of neural networks for trajectory compression and the inverse problem
Theodoros Ntakouris
http://arxiv.org/abs/2107.08849v1

• [cs.LG]Fair Balance: Mitigating Machine Learning Bias Against Multiple Protected Attributes With Data Balancing
Zhe Yu
http://arxiv.org/abs/2107.08310v1

• [cs.LG]GoTube: Scalable Stochastic Verification of Continuous-Depth Models
Sophie Gruenbacher, Mathias Lechner, Ramin
40a
Hasani, Daniela Rus, Thomas A. Henzinger, Scott Smolka, Radu Grosu
http://arxiv.org/abs/2107.08467v1

• [cs.LG]GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation
Marco Podda, Davide Bacciu
http://arxiv.org/abs/2107.08396v1

• [cs.LG]Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences
Alan Chan, Hugo Silva, Sungsu Lim, Tadashi Kozuno, A. Rupam Mahmood, Martha White
http://arxiv.org/abs/2107.08285v1

• [cs.LG]GuideBoot: Guided Bootstrap for Deep Contextual Bandits
Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He
http://arxiv.org/abs/2107.08383v1

• [cs.LG]Hierarchical Few-Shot Imitation with Skill Transition Models
Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan, Pieter Abbeel, Michael Laskin
http://arxiv.org/abs/2107.08981v1

• [cs.LG]Hierarchical Reinforcement Learning with Optimal Level Synchronization based on a Deep Generative Model
JaeYoon Kim, Junyu Xuan, Christy Liang, Farookh Hussain
http://arxiv.org/abs/2107.08183v1

• [cs.LG]High-Accuracy Model-Based Reinforcement Learning, a Survey
Aske Plaat, Walter Kosters, Mike Preuss
http://arxiv.org/abs/2107.08241v1

• [cs.LG]Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints
Shaojie Li, Yong Liu
http://arxiv.org/abs/2107.08686v1

• [cs.LG]Interpreting Process Predictions using a Milestone-Aware Counterfactual Approach
Chihcheng Hsieh, Catarina Moreira, Chun Ouyang
http://arxiv.org/abs/2107.08697v1

• [cs.LG]Introducing a Family of Synthetic Datasets for Research on Bias in Machine Learning
William Blanzeisky, Pádraig Cunningham, Kenneth Kennedy
http://arxiv.org/abs/2107.08928v1

• [cs.LG]Just Train Twice: Improving Group Robustness without Training Group Information
Evan Zheran Liu, Behzad Haghgoo, Annie S. Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, Chelsea Finn
http://arxiv.org/abs/2107.09044v1

• [cs.LG]Know Thyself: Transferable Visuomotor Control Through Robot-Awareness
Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman
http://arxiv.org/abs/2107.09047v1

• [cs.LG]Learning Attributed Graph Representations with Communicative Message Passing Transformer
Jianwen Chen, Shuangjia Zheng, Ying Song, Jiahua Rao, Yuedong Yang
http://arxiv.org/abs/2107.08773v1

• [cs.LG]Learning to Limit Data Collection via Scaling Laws: Data Minimization Compliance in Practice
Divya Shanmugam, Samira Shabanian, Fernando Diaz, Michèle Finck, Asia Biega
http://arxiv.org/abs/2107.08096v1

• [cs.LG]Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce
Xuesi Wang, Guangda Huzhang, Qianying Lin, Qing Da, Dan Shen
http://arxiv.org/abs/2107.08598v1

• [cs.LG]Long-term series forecasting with Query Selector — efficient model of sparse attention
Jacek Klimek, Jakub Klimek, Witold Kraskiewicz, Mateusz Topolewski
http://arxiv.org/abs/2107.08687v1

• [cs.LG]M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis
Xingbo Wang, Jianben He, Zhihua Jin, Muqiao Yang, Huamin Qu
http://arxiv.org/abs/2107.08264v1

• [cs.LG]Markov Blanket Discovery using Minimum Message Length
Yang Li, Kevin B Korb, Lloyd Allison
http://arxiv.org/abs/2107.08140v1

• [cs.LG]Megaverse: Simulating Embodied Agents at One Million Experiences per Second
Aleksei Petrenko, Erik Wijmans, Brennan Shacklett, Vladlen Koltun
http://arxiv.org/abs/2107.08170v1

• [cs.LG]Multimodal Reward Shaping for Efficient Exploration in Reinforcement Learning
Mingqi Yuan, Mon-on Pun, Yi Chen, Dong Wang, Haojun Li
http://arxiv.org/abs/2107.08888v1

• [cs.LG]On the Robustness of Deep Reinforcement Learning in IRS-Aided Wireless Communications Systems
Amal Feriani, Amine Mezghani, Ekram Hossain
http://arxiv.org/abs/2107.08293v1

• [cs.LG]Path Integrals for the Attribution of Model Uncertainties
Iker Perez, Piotr Skalski, Alec Barns-Graham, Jason Wong, David Sutton
http://arxiv.org/abs/2107.08756v1

• [cs.LG]Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses
Haipeng Luo, Chen-Yu Wei, Chung-Wei Lee
http://arxiv.org/abs/2107.08346v1

• [cs.LG]Probabilistic Verification of Neural Networks Against Group Fairness
Bing Sun, Jun Sun, Ting Dai, Lijun Zhang
http://arxiv.org/abs/2107.08362v1

• [cs.LG]Provably Efficient Multi-Task Reinforcement Learning with Model Transfer
Chicheng Zhang, Zhi Wang
http://arxiv.org/abs/2107.08622v1

• [cs.LG]Reasoning-Modulated Representations
Petar Veličković, Matko Bošnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell
http://arxiv.org/abs/2107.08881v1

• [cs.LG]Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning
Antonious M. Girgis, Deepesh Data, Suhas Diggavi
http://arxiv.org/abs/2107.08763v1

• [cs.LG]Rethinking Graph Autoencoder Models for Attributed Graph Clustering
Nairouz Mrabah, Mohamed Bouguessa, Mohamed Fawzi Touati, Riadh Ksantini
http://arxiv.org/abs/2107.08562v1

• [cs.LG]RingFed: Reducing Communication Costs in Federated Learning on Non-IID Data
Guang Yang, Ke Mu, Chunhe Song, Zhijia Yang, Tierui Gong
http://arxiv.org/abs/2107.08873v1

• [cs.LG]RobustFed: A Truth Inference Approach for Robust Federated Learning
Farnaz Tahmasebian, Jian Lou, Li Xiong
http://arxiv.org/abs/2107.08402v1

• [cs.LG]STRODE: Stochastic Boundary Ordinary Differential Equation
Hengguan Huang, Hongfu Liu, Hao Wang, Chang Xiao, Ye Wang
http://arxiv.org/abs/2107.08273v1

• [cs.LG]Self Training with Ensemble of Teacher Models
Soumyadeep Ghosh, Sanjay Kumar, Janu Verma, Awanish Kumar
http://arxiv.org/abs/2107.08211v1

• [cs.LG]Sleep Staging Based on Serialized Dual Attention Network
Huafeng Wang, Chonggang Lu, Qi Zhang, Zhimin Hu, Xiaodong Yuan, Pingshu Zhang, Wanquan Liu
http://arxiv.org/abs/2107.08442v1

• [cs.LG]Sparse Bayesian Learning with Diagonal Quasi-Newton Method For Large Scale Classification
Jiahua Luo, Chi-Man Vong, Jie Du
http://arxiv.org/abs/2107.08195v1

• [cs.LG]Structural Design Recommendations in the Early Design Phase using Machine Learning
Spyridon Ampanavos, Mehdi Nourbakhsh, Chin-Yi Cheng
http://arxiv.org/abs/2107.08567v1

• [cs.LG]Structured Stochastic Gradient MCMC
Antonios Alexos, Alex Boyd, Stephan Mandt
http://arxiv.org/abs/2107.09028v1

• [cs.LG]Structured World Belief for Reinforcement Learning in POMDP
Gautam Singh, Skand Peri, Junghyun Kim, Hyunseok Kim, Sungjin Ahn
http://arxiv.org/abs/2107.08577v1

• [cs.LG]Top-label calibration
Chirag Gupta, Aaditya K. Ramdas
http://arxiv.org/abs/2107.08353v1

• [cs.LG]Topological Attention for Time Series Forecasting
Sebastian Zeng, Florian Graf, Christoph Hofer, Roland Kwitt
http://arxiv.org/abs/2107.09031v1

• [cs.LG]Train on Small, Play the Large: Scaling Up Board Games with AlphaZero and GNN
Shai Ben-Assayag, Ran El-Yaniv
http://arxiv.org/abs/2107.08387v1

• [cs.LG]Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
Lukas Schott, Julius von Kügelgen, Frederik Träuble, Peter Gehler, Chris Russell, Matthias Bethge, Bernhard Schölkopf, Francesco Locatello, Wieland Brendel
http://arxiv.org/abs/2107.08221v1

• [cs.LG]VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Bolin Ding, Yaliang Li, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
http://arxiv.org/abs/2107.08861v1

• [cs.MM]Detection of Double Compression in MPEG-4 Videos Using Refined Features-based CNN
Seung-Hun Nam, Wonhyuk Ahn, Myung-Joon Kwon, In-Jae Yu
http://arxiv.org/abs/2107.08939v1

• [cs.NE]A Novel Evolutionary Algorithm for Hierarchical Neural Architecture Search
Aristeidis Chrostoforidis, George Kyriakides, Konstantinos Margaritis
http://arxiv.org/abs/2107.08484v1

• [cs.NE]Otimizacao de Redes Neurais atraves de Algoritmos Geneticos Celulares
Anderson da Silva, Teresa Ludermir
http://arxiv.org/abs/2107.08326v1

• [cs.NI]Predictable Bandwidth Slicing with Open vSwitch
Jesse Chen, Behnam Dezfouli
http://arxiv.org/abs/2107.08334v1

• [cs.NI]Towards autonomic orchestration of machine learning pipelines in future networks
Abhishek Dandekar
http://arxiv.org/abs/2107.08194v1

• [cs.RO]A Multi-UAV System for Exploration and Target Finding in Cluttered and GPS-Denied Environments
Xiaolong Zhu, Fernando Vanegas, Felipe Gonzalez, Conrad Sanderson
http://arxiv.org/abs/2107.08834v1

• [cs.RO]Ab Initio Particle-based Object Manipulation
Siwei Chen, Xiao Ma, Yunfan Lu, David Hsu
http://arxiv.org/abs/2107.08865v1

• [cs.RO]Autonomy 2.0: Why is self-driving always 5 years away?
Ashesh Jain, Luca Del Pero, Hugo Grimmett, Peter Ondruska
http://arxiv.org/abs/2107.08142v1

• [cs.RO]CoCo: Online Mixed-Integer Control via Supervised Learning
A. Cauligi, P. Culbertson, E. Schmerling, M. Schwager, B. Stellato, M. Pavone
http://arxiv.org/abs/2107.08143v1

• [cs.RO]Deformation-Aware Robotic 3D Ultrasound
Zhongliang Jiang, Yue Zhou, Yuan Bi, Mingchuan Zhou, Thomas Wendler, Nassir Navab
http://arxiv.org/abs/2107.08411v1

• [cs.RO]Distributed Planning for Serving Cooperative Tasks with Time Windows: A Game Theoretic Approach
Yasin Yazicioglu, Raghavendra Bhat, Derya Aksaray
http://arxiv.org/abs/2107.08540v1

• [cs.RO]Dual Quaternion-Based Visual Servoing for Grasping Moving Objects
Cristiana de Farias, Maxime Adjigble, Brahim Tamadazte, Rustam Stolkin, Naresh Marturi
http://arxiv.org/abs/2107.08149v1

• [cs.RO]Future Intelligent Autonomous Robots, Ethical by Design. Learning from Autonomous Cars Ethics
Gordana Dodig-Crnkovic, Tobias Holstein, Patrizio Pelliccione
http://arxiv.org/abs/2107.08122v1

• [cs.RO]How does a robot’s social credibility relate to its perceived trustworthiness?
Patrick Holthaus
http://arxiv.org/abs/2107.08805v1

• [cs.RO]Learning compliant grasping and manipulation by teleoperation with adaptive force control
Chao Zeng, Shuang Li, Yiming Jiang, Qiang Li, Zhaopeng Chen, Chenguang Yang, Jianwei Zhang
http://arxiv.org/abs/2107.08996v1

• [cs.RO]ObserveNet Control: A Vision-Dynamics Learning Approach to Predictive Control in Autonomous Vehicles
Cosmin Ginerica, Mihai Zaha, Florin Gogianu, Lucian Busoniu, Bogdan Trasnea, Sorin Grigorescu
http://arxiv.org/abs/2107.08690v1

• [cs.RO]Optimizing Gait Libraries via a Coverage Metric
Brian Bittner, Shai Revzen
http://arxiv.org/abs/2107.08775v1

• [cs.RO]Partially-Observed Decoupled Data-based Control (POD2C) for Complex Robotic Systems
Raman Goyal, Ran Wang, Suman Chakravorty, Robert E. Skelton
http://arxiv.org/abs/2107.08086v1

• [cs.RO]Playful Interactions for Representation Learning
Sarah Young, Jyothish Pari, Pieter Abbeel, Lerrel Pinto
http://arxiv.org/abs/2107.09046v1

• [cs.RO]Relative Localization of Mobile Robots with Multiple Ultra-WideBand Ranging Measurements
Zhiqiang Cao, Ran Liu, Chau Yuen, Achala Athukorala, Benny Kai Kiat Ng, Muraleetharan Mathanraj, U-Xuan Tan
http://arxiv.org/abs/2107.08842v1

• [cs.RO]SENSORIMOTOR GRAPH: Action-Conditioned Graph Neural Network for Learning Robotic Soft Hand Dynamics
João Damião Almeida, Paul Schydlo, Atabak Dehban, José Santos-Victor
http://arxiv.org/abs/2107.08492v1

• [cs.RO]Scalable Distributed Planning for Multi-Robot, Multi-Target Tracking
Micah Corah, Nathan Michael
http://arxiv.org/abs/2107.08550v1

• [cs.RO]The Effects of Learning in Morphologically Evolving Robot Systems
Jie Luo, Jakub M. Tomczak, Agoston E. Eiben
http://arxiv.org/abs/2107.08249v1

• [cs.RO]Topology-Guided Path Planning for Reliable Visual Navigation of MAVs
Dabin Kim, Gyeong Chan Kim, Youngseok Jang, H. Jin Kim
http://arxiv.org/abs/2107.08616v1

• [cs.RO]Towards synthesizing grasps for 3D deformable objects with physics-based simulation
Tran Nguyen Le, Jens Lundell, Fares J. Abu-Dakka, Ville Kyrki
http://arxiv.org/abs/2107.08898v1

• [cs.RO]Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning
Peide Cai, Hengli Wang, Huaiyang Huang, Yuxuan Liu, Ming Liu
http://arxiv.org/abs/2107.08325v1

• [cs.SD]An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation
Xiangheng He, Junjie Chen, Georgios Rizos, Björn W. Schuller
http://arxiv.org/abs/2107.08361v1

• [cs.SD]Over-Parameterization and Generalization in Audio Classification
Khaled Koutini, Hamid Eghbal-zadeh, Florian Henkel, Jan Schlüter, Gerhard Widmer
http://arxiv.org/abs/2107.08933v1

• [cs.SE]A Survey on Data-driven Software Vulnerability Assessment and Prioritization
Triet H. M. Le, Huaming Chen, M. Ali Babar
http://arxiv.org/abs/2107.08364v1

• [cs.SE]CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software
Guru Prasad Bhandari, Amara Naseer, Leon Moonen
http://arxiv.org/abs/2107.08760v1

• [cs.SE]Multi-objective Test Case Selection Through Linkage Learning-based Crossover
Mitchell J. G. Olsthoorn, Annibale Panichella
http://arxiv.org/abs/2107.08454v1

• [cs.SE]Tea: Program Repair Using Neural Network Based on Program Information Attention Matrix
Wenshuo Wang, Chen Wu, Liang Cheng, Yang Zhang
http://arxiv.org/abs/2107.08262v1

• [cs.SI]A Survey on Role-Oriented Network Embedding
Pengfei Jiao, Xuan Guo, Ting Pan, Wang Zhang, Yulong Pei
http://arxiv.org/abs/2107.08379v1

• [cs.SI]Beyond a binary of (non)racist tweets: A four-dimensional categorical detection and analysis of racist and xenophobic opinions on Twitter in early Covid-19
Xin Pei, Deval Mehta
http://arxiv.org/abs/2107.08347v1

• [cs.SI]Characterizing Online Engagement with Disinformation and Conspiracies in the 2020 U.S. Presidential Election
Karishma Sharma, Emilio Ferrara, Yan Liu
http://arxiv.org/abs/2107.08319v1

• [cs.SI]Proximity in face-to-face interaction is associated with mobile phone communication
Tobias Jørgensen, Talayeh Aledavood, Jari Saramäki, Sam G. B. Roberts
http://arxiv.org/abs/2107.08872v1

• [econ.EM]Decoupling Shrinkage and Selection for the Bayesian Quantile Regression
David Kohns, Tibor Szendrei
http://arxiv.org/abs/2107.08498v1

• [econ.EM]Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data
Szymon Sacher, Laura Battaglia, Stephen Hansen
http://arxiv.org/abs/2107.08112v1

• [econ.TH]Data Sharing Markets
Mohammad Rasouli, Michael Jordan
http://arxiv.org/abs/2107.08630v1

• [eess.AS]Channel-wise Gated Res2Net: Towards Robust Detection of Synthetic Speech Attacks
Xu Li, Xixin Wu, Hui Lu, Xunying Liu, Helen Meng
http://arxiv.org/abs/2107.08803v1

• [eess.AS]On the Veracity of Local, Model-agnostic Explanations in Audio Classification: Targeted Investigations with Adversarial Examples
Verena Praher, Katharina Prinz, Arthur Flexer, Gerhard Widmer
http://arxiv.org/abs/2107.09045v1

• [eess.IV]ANFIC: Image Compression Using Augmented Normalizing Flows
Yung-Han Ho, Chih-Chun Chan, Wen-Hsiao Peng, Hsueh-Ming Hang, Marek Domanski
http://arxiv.org/abs/2107.08470v1

• [eess.IV]Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation
Marius Memmel, Camila Gonzalez, Anirban Mukhopadhyay
http://arxiv.org/abs/2107.08751v1

• [eess.IV]Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction
Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Prateek Prasanna
http://arxiv.org/abs/2107.08330v1

• [eess.IV]Automatic and explainable grading of meningiomas from histopathology images
Jonathan Ganz, Tobias Kirsch, Lucas Hoffmann, Christof A. Bertram, Christoph Hoffmann, Andreas Maier, Katharina Breininger, Ingmar Blümcke, Samir Jabari, Marc
2e5
Aubreville
http://arxiv.org/abs/2107.08850v1

• [eess.IV]Deep Open Snake Tracker for Vessel Tracing
Li Chen, Wenjin Liu, Niranjan Balu, Mahmud Mossa-Basha, Thomas S. Hatsukami, Jenq-Neng Hwang, Chun Yuan
http://arxiv.org/abs/2107.09049v1

• [eess.IV]Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures
Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu
http://arxiv.org/abs/2107.08111v1

• [eess.IV]Frequency-Supervised MR-to-CT Image Synthesis
Zenglin Shi, Pascal Mettes, Guoyan Zheng, Cees Snoek
http://arxiv.org/abs/2107.08962v1

• [eess.IV]Fully Polarimetric SAR and Single-Polarization SAR Image Fusion Network
Liupeng Lin, Jie Li, Huanfeng Shen, Lingli Zhao, Qiangqiang Yuan, Xinghua Li
http://arxiv.org/abs/2107.08355v1

• [eess.IV]Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units
Woo-Jeoung Nam, Seong-Whan Lee
http://arxiv.org/abs/2107.08767v1

• [eess.IV]Input Agnostic Deep Learning for Alzheimer’s Disease Classification Using Multimodal MRI Images
Aidana Massalimova, Huseyin Atakan Varol
http://arxiv.org/abs/2107.08673v1

• [eess.IV]Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting
Yilin Liu, Yong Chen, Pew-Thian Yap
http://arxiv.org/abs/2107.08120v1

• [eess.IV]Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation
Talgat Saparov, Anvar Kurmukov, Boris Shirokih, Mikhail Belyaev
http://arxiv.org/abs/2107.08543v1

• [eess.SP]Classification of Upper Arm Movements from EEG signals using Machine Learning with ICA Analysis
Pranali Kokate, Sidharth Pancholi, Amit M. Joshi
http://arxiv.org/abs/2107.08514v1

• [eess.SY]A Duality-based Approach for Real-time Obstacle Avoidance between Polytopes with Control Barrier Functions
Akshay Thirugnanam, Jun Zeng, Koushil Sreenath
http://arxiv.org/abs/2107.08360v1

• [eess.SY]Co-designing Intelligent Control of Building HVACs and Microgrids
Rumia Masburah, Sayan Sinha, Rajib Lochan Jana, Soumyajit Dey, Qi Zhu
http://arxiv.org/abs/2107.08378v1

• [math.AC]From primary to dual affine variety codes over the Klein quartic
Olav Geil
http://arxiv.org/abs/2107.08955v1

• [math.AG]Frobenius statistical manifolds & geometric invariants
Noemie Combe, Philippe Combe, Hanna Nencka
http://arxiv.org/abs/2107.08446v1

• [math.DS]Support vector machines for learning reactive islands
Shibabrat Naik, Vladimír Krajňák, Stephen Wiggins
http://arxiv.org/abs/2107.08429v1

• [math.NA]Inverse Problem of Nonlinear Schrödinger Equation as Learning of Convolutional Neural Network
Yiran Wang, Zhen Li
http://arxiv.org/abs/2107.08593v1

• [math.OC]Data-informed Deep Optimization
Lulu Zhang, Zhi-Qin John Xu, Yaoyu Zhang
http://arxiv.org/abs/2107.08166v1

• [math.OC]Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function
Dong-Young Lim, Ariel Neufeld, Sotirios Sabanis, Ying Zhang
http://arxiv.org/abs/2107.08649v1

• [math.OC]On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems
Michael Muehlebach, Michael I. Jordan
http://arxiv.org/abs/2107.08225v1

• [math.ST]Heavy-tailed phase-type distributions: A unified approach
Martin Bladt, Jorge Yslas
http://arxiv.org/abs/2107.09023v1

• [math.ST]Non-Parametric Manifold Learning
Dena Asta
http://arxiv.org/abs/2107.08089v1

• [math.ST]Parametric estimation for functional autoregressive processes on the sphere
Alessia Caponera, Claudio Durastanti
http://arxiv.org/abs/2107.08900v1

• [math.ST]Van Trees inequality, group equivariance, and estimation of principal subspaces
Martin Wahl
http://arxiv.org/abs/2107.08723v1

• [physics.data-an]Transport away your problems: Calibrating stochastic simulations with optimal transport
Chris Pollard, Philipp Windischhofer
http://arxiv.org/abs/2107.08648v1

• [q-bio.BM]Analysis of training and seed bias in small molecules generated with a conditional graph-based variational autoencoder — Insights for practical AI-driven molecule generation
Seung-gu Kang, Joseph A. Morrone, Jeffrey K. Weber, Wendy D. Cornell
http://arxiv.org/abs/2107.08987v1

• [q-fin.ST]Stock Movement Prediction with Financial News using Contextualized Embedding from BERT
Qinkai Chen
http://arxiv.org/abs/2107.08721v1

• [quant-ph]Asymptotic continuity of additive entanglement measures
Péter Vrana
http://arxiv.org/abs/2107.08537v1

• [quant-ph]Quantum Deep Learning: Sampling Neural Nets with a Quantum Annealer
Catherine F. Higham, Adrian Bedford
http://arxiv.org/abs/2107.08710v1

• [quant-ph]Quantum circuits with classical channels and the principle of deferred measurements
Yuri Gurevich, Andreas Blass
http://arxiv.org/abs/2107.08324v1

• [stat.AP]Assessing competitive balance in the English Premier League for over forty seasons using a stochastic block model
Francesca Basini, Vasiliki Tsouli, Ioannis Ntzoufras, Nial Friel
http://arxiv.org/abs/2107.08732v1

• [stat.CO]Compressed Monte Carlo with application in particle filtering
Luca Martino, Víctor Elvira
http://arxiv.org/abs/2107.08459v1

• [stat.ME]A Proposed Hybrid Effect Size Plus $今日学术视野(2021.7.21) - 图2$ -Value Criterion: A Replication of Goodman et al. (2019)
Robin Tim Dreher, Leona Hoffmann, Arne Kramer-Sunderbrink, Peter Pütz, Robin Werner
http://arxiv.org/abs/2107.08860v1

• [stat.ME]A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models
Rui Tuo, Shiyuan He, Arash Pourhabib, Yu Ding, Jianhua Z. Huang
http://arxiv.org/abs/2107.08288v1

• [stat.ME]Assessing Mediational Processes in Parallel Bilinear Spline Growth Curve Models in the Framework of Individual Measurement Occasions
Jin Liu, Robert A. Perera
http://arxiv.org/abs/2107.08338v1

• [stat.ME]Best Subset Selection: Statistical Computing Meets Quantum Computing
Wenxuan Zhong, Yuan Ke, Ye Wang, Yongkai Chen, Jinyang Chen, Ping Ma
http://arxiv.org/abs/2107.08359v1

• [stat.ME]Calibrating the scan statistic with size-dependent critical values: heuristics, methodology and computation
Guenther Walther
http://arxiv.org/abs/2107.08296v1

• [stat.ME]Estimation of high-dimensional change-points under a group sparsity structure
Hanqing Cai, Tengyao Wang
http://arxiv.org/abs/2107.08724v1

• [stat.ME]Gibbs sampling for mixtures in order of appearance: the ordered allocation sampler
Pierpaolo De Blasi, María F. Gil-Leyva
http://arxiv.org/abs/2107.08380v1

• [stat.ME]How balance and sample size impact bias in the estimation of causal treatment effects: A simulation study
Andreas Markoulidakis, Peter Holmans, Philip Pallmann, Monica Busse, Beth Ann Griffin
http://arxiv.org/abs/2107.09009v1

• [stat.ME]Mind the Income Gap: Behavior of Inequality Estimators from Complex Survey Small Samples
Silvia De Nicolò, Maria Rosaria Ferrante, Silvia Pacei
http://arxiv.org/abs/2107.08950v1

• [stat.ME]Regression model selection via log-likelihood ratio and constrained minimum criterion
Min Tsao
http://arxiv.org/abs/2107.08529v1

• [stat.ME]Sparse group variable selection for gene-environment interactions in the longitudinal study
Fei Zhou, Xi Lu, Jie Ren, Kun Fan, Shuangge Ma, Cen Wu
http://arxiv.org/abs/2107.08533v1

• [stat.ML]Equivariant Manifold Flows
Isay Katsman, Aaron Lou, Derek Lim, Qingxuan Jiang, Ser-Nam Lim, Christopher De Sa
http://arxiv.org/abs/2107.08596v1

• [stat.ML]High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids
Liang Ding, Rui Tuo, Xiaowei Zhang
http://arxiv.org/abs/2107.08595v1

• [stat.ML]Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences
Ikko Yamane, Junya Honda, Florian Yger, Masashi Sugiyama
http://arxiv.org/abs/2107.08135v1

• [stat.ML]Minimising quantifier variance under prior probability shift
Dirk Tasche
http://arxiv.org/abs/2107.08209v1

• [stat.ML]Model Uncertainty and Correctability for Directed Graphical Models
Panagiota Birmpa, Jinchao Feng, Markos A. Katsoulakis, Luc Rey-Bellet
http://arxiv.org/abs/2107.08179v1

• [stat.ML]Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression
Ayush Jain, P. K. Srijith, Mohammad Emtiyaz Khan
http://arxiv.org/abs/2107.08265v1