cs.AI - 人工智能
cs.AR - 硬件体系结构 cs.CC - 计算复杂度 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.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.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 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.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.bio-ph - 生物物理 physics.chem-ph -化学物理 physics.comp-ph - 计算物理学 q-bio.GN - 基因组学 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
• [cs.AI]A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks
• [cs.AI]An Autonomous Negotiating Agent Framework with Reinforcement Learning Based Strategies and Adaptive Strategy Switching Mechanism
• [cs.AI]Interrogating the Black Box: Transparency through Information-Seeking Dialogues
• [cs.AI]Principles of Explanation in Human-AI Systems
• [cs.AI]The Factory Must Grow: Automation in Factorio
• [cs.AR]Feature Engineering for Scalable Application-Level Post-Silicon Debugging
• [cs.CC]On Computation Complexity of True Proof Number Search
• [cs.CL]A Hybrid Task-Oriented Dialog System with Domain and Task Adaptive Pretraining
• [cs.CL]A study of text representations in Hate Speech Detection
• [cs.CL]Bayesian Transformer Language Models for Speech Recognition
• [cs.CL]BembaSpeech: A Speech Recognition Corpus for the Bemba Language
• [cs.CL]Bootstrapping Relation Extractors using Syntactic Search by Examples
• [cs.CL]Broader terms curriculum mapping: Using natural language processing and visual-supported communication to create representative program planning experiences
• [cs.CL]Conversational Query Rewriting with Self-supervised Learning
• [cs.CL]Efficient Retrieval Augmented Generation from Unstructured Knowledge for Task-Oriented Dialog
• [cs.CL]Joint Intent Detection and Slot Filling with Wheel-Graph Attention Networks
• [cs.CL]Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis
• [cs.CL]Leveraging cross-platform data to improve automated hate speech detection
• [cs.CL]NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application
• [cs.CL]Statistically Profiling Biases in Natural Language Reasoning Datasets and Models
• [cs.CL]Wake Word Detection with Streaming Transformers
• [cs.CR]AI-based Blackbox Code Deobfuscation: Understand, Improve and Mitigate
• [cs.CR]FFConv: Fast Factorized Neural Network Inference on Encrypted Data
• [cs.CR]Security and Privacy for Artificial Intelligence: Opportunities and Challenges
• cs.CV2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network
• [cs.CV]Absolute 3D Pose Estimation and Length Measurement of Severely Deformed Fish from Monocular Videos in Longline Fishing
• [cs.CV]An application of a pseudo-parabolic modeling to texture image recognition
• [cs.CV]An underwater binocular stereo matching algorithm based on the best search domain
• [cs.CV]Benford’s law: what does it say on adversarial images?
• [cs.CV]Classification of Handwritten Names of Cities and Handwritten Text Recognition using Various Deep Learning Models
• [cs.CV]CorrDetector: A Framework for Structural Corrosion Detection from Drone Images using Ensemble Deep Learning
• [cs.CV]DetCo: Unsupervised Contrastive Learning for Object Detection
• [cs.CV]Distribution Adaptive INT8 Quantization for Training CNNs
• [cs.CV]Diverse Single Image Generation with Controllable Global Structure though Self-Attention
• [cs.CV]Dynamic Neural Networks: A Survey
• [cs.CV]End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving
• [cs.CV]Ensembling object detectors for image and video data analysis
• [cs.CV]Fashion Focus: Multi-modal Retrieval System for Video Commodity Localization in E-commerce
• [cs.CV]How Unique Is a Face: An Investigative Study
• [cs.CV]Improving Visual Reasoning by Exploiting The Knowledge in Texts
• [cs.CV]Large Scale Long-tailed Product Recognition System at Alibaba
• [cs.CV]Leaf Image-based Plant Disease Identification using Color and Texture Features
• [cs.CV]Learning Unsupervised Cross-domain Image-to-Image Translation Using a Shared Discriminator
• [cs.CV]Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search
• [cs.CV]RMOPP: Robust Multi-Objective Post-Processing for Effective Object Detection
• [cs.CV]Referring Segmentation in Images and Videos with Cross-Modal Self-Attention Network
• [cs.CV]Residue Density Segmentation for Monitoring and Optimizing Tillage Practices
• [cs.CV]Robust Motion In-betweening
• [cs.CV]SG2Caps: Revisiting Scene Graphs for Image Captioning
• [cs.CV]Semantic Segmentation with Labeling Uncertainty and Class Imbalance
• [cs.CV]SwiftNet: Real-time Video Object Segmentation
• [cs.CV]Telling the What while Pointing the Where: Fine-grained Mouse Trace and Language Supervision for Improved Image Retrieval
• [cs.CV]TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain Gait Recognition
• [cs.CV]Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning
• [cs.CV]UVTomo-GAN: An adversarial learning based approach for unknown view X-ray tomographic reconstruction
• [cs.CV]Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance
• [cs.CV]Visual Search at Alibaba
• [cs.CY]AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks
• [cs.CY]Detecting Fake News Using Machine Learning : A Systematic Literature Review
• [cs.CY]E-Health Management Services in Supporting Empowerment
• [cs.CY]NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
• [cs.CY]Securing the Network for a Smart Bracelet System
• [cs.CY]Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier
• [cs.CY]Validating Optimal COVID-19 Vaccine Distribution Models
• [cs.CY]comparing card-based vaccine credential systems with app-based vaccine credential systems
• [cs.DC]A Framework for Auditing Data Center Energy Usage and Mitigating Environmental Footprint
• [cs.DC]OptSmart: A Space Efficient Optimistic Concurrent Execution of Smart Contracts
• [cs.DC]Superfast Coloring in CONGEST via Efficient Color Sampling
• [cs.HC]Hallmarks of Human-Machine Collaboration: A framework for assessment in the DARPA Communicating with Computers Program
• [cs.HC]Improving Artificial Teachers by Considering How People Learn and Forget
• [cs.HC]Playing the Blame Game with Robots
• [cs.IR]FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation
• [cs.IR]FeedRec: News Feed Recommendation with Various User Feedbacks
• [cs.IR]Large-Scale Visual Search with Binary Distributed Graph at Alibaba
• [cs.IR]Rethinking Ranking-based Loss Functions: Only Penalizing Negative Instances before Positive Ones is Enough
• [cs.IT]A Provably Convergent Information Bottleneck Solution via ADMM
• [cs.IT]A Provably Convergent Information Bottleneck Solution via ADMM
• [cs.IT]Constrained Secrecy Capacity of Partial-Response Wiretap Channels
• [cs.IT]Encoding and Decoding Construction D’ Lattices for Power-Constrained Communications
• [cs.IT]Frequency-Shift Chirp Spread Spectrum Communications with Index Modulation
• [cs.IT]Moving Object Classification with a Sub-6 GHz Massive MIMO Array using Real Data
• [cs.IT]Near-Optimal Coding for Massive Multiple Access
• [cs.IT]OTFS Signaling for Uplink NOMA of Heterogeneous Mobility Users
• [cs.IT]Optimal SIC Ordering and Power Allocation in Downlink Multi-Cell NOMA Systems
• [cs.IT]Semiquantitative Group Testing in at Most Two Rounds
• [cs.IT]The Exact Rate Memory Tradeoff for Small Caches with Coded Placement
• [cs.LG]-Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers
• [cs.LG]A Multi-Arm Bandit Approach To Subset Selection Under Constraints
• [cs.LG]A New Framework for Variance-Reduced Hamiltonian Monte Carlo
• [cs.LG]A Ranking Approach to Fair Classification
• [cs.LG]Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning
• [cs.LG]Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review
• [cs.LG]AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units
• [cs.LG]Behavioral Economics Approach to Interpretable Deep Image Classification. Rationally Inattentive Utility Maximization Explains Deep Image Classification
• [cs.LG]Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19
• [cs.LG]COLOGNE: Coordinated Local Graph Neighborhood Sampling
• [cs.LG]Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface
• [cs.LG]Consensus Based Multi-Layer Perceptrons for Edge Computing
• [cs.LG]Consensus Control for Decentralized Deep Learning
• [cs.LG]Continuous-Time Model-Based Reinforcement Learning
• [cs.LG]Deep Neural Network based Cough Detection using Bed-mounted Accelerometer Measurements
• [cs.LG]Demystifying Code Summarization Models
• [cs.LG]Fast discovery of multidimensional subsequences for robust trajectory classification
• [cs.LG]Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity
• [cs.LG]Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication
• [cs.LG]Fine-Grained Gap-Dependent Bounds for Tabular MDPs via Adaptive Multi-Step Bootstrap
• [cs.LG]Generative Models as Distributions of Functions
• [cs.LG]Graph-Aided Online Multi-Kernel Learning
• [cs.LG]Inapproximability of Minimizing a Pair of DNFs or Binary Decision Trees Defining a Partial Boolean Function
• [cs.LG]Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games
• [cs.LG]Learning State Representations from Random Deep Action-conditional Predictions
• [cs.LG]Learning a powerful SVM using piece-wise linear loss functions
• [cs.LG]Learning from Shader Program Traces
• [cs.LG]MALI: A memory efficient and reverse accurate integrator for Neural ODEs
• [cs.LG]MISO-wiLDCosts: Multi Information Source Optimization with Location Dependent Costs
• [cs.LG]Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances
• [cs.LG]Measuring Progress in Deep Reinforcement Learning Sample Efficiency
• [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]More Is More — Narrowing the Generalization Gap by Adding Classification Heads
• [cs.LG]Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization
• [cs.LG]On Theory-training Neural Networks to Infer the Solution of Highly Coupled Differential Equations
• [cs.LG]Oops I To
59b7
ok A Gradient: Scalable Sampling for Discrete Distributions
• [cs.LG]Output Perturbation for Differentially Private Convex Optimization with Improved Population Loss Bounds, Runtimes and Applications to Private Adversarial Training
• [cs.LG]Pairwise Weights for Temporal Credit Assignment
• [cs.LG]Provable Defense Against Delusive Poisoning
• [cs.LG]Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data
• [cs.LG]RL for Latent MDPs: Regret Guarantees and a Lower Bound
• [cs.LG]Regret Minimization in Heavy-Tailed Bandits
• [cs.LG]Regularized Generative Adversarial Network
• [cs.LG]Reverb: A Framework For Experience Replay
• [cs.LG]Robust Bandit Learning with Imperfect Context
• [cs.LG]SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
• [cs.LG]Sparsification via Compressed Sensing for Automatic Speech Recognition
• [cs.LG]Spherical Message Passing for 3D Graph Networks
• [cs.LG]Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning
• [cs.LG]Target Training Does Adversarial Training Without Adversarial Samples
• [cs.LG]Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach
• [cs.LG]VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference
• [cs.LG]rl_reach: Reproducible Reinforcement Learning Experiments for Robotic Reaching Tasks
• [cs.MA]Equilibrium Refinements for Multi-Agent Influence Diagrams: Theory and Practice
• [cs.MA]Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies
• [cs.NE]Directed particle swarm optimization with Gaussian-process-based function forecasting
• [cs.NE]Multi-GPU SNN Simulation with Perfect Static Load Balancing
• [cs.NE]Optimal Static Mutation Strength Distributions for the #card=math&code=%281%2B%CE%BB%29) Evolutionary Algorithm on OneMax
• [cs.NI]Content Placement in Networks of Similarity Caches
• [cs.RO]Affordance-Based Mobile Robot Navigation Among Movable Obstacles
• [cs.RO]Where is my hand? Deep hand segmentation for visual self-recognition in humanoid robots
• [cs.SD]A comparative study of two-dimensional vocal tract acoustic modeling based on Finite-Difference Time-Domain methods
• [cs.SD]On permutation invariant training for speech source separation
• [cs.SD]TräumerAI: Dreaming Music with StyleGAN
• [cs.SE]CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
• [cs.SE]Learning How to Search: Generating Effective Test Cases Through Adaptive Fitness Function Selection
• [cs.SI]Fuzzy-AHP approach using Normalized Decision Matrix on Tourism Trend Ranking based-on Social Media
• [cs.SI]Opinion Dynamics Incorporating Higher-Order Interactions
• [cs.SI]SCARLET: Explainable Attention based Graph Neural Network for Fake News spreader prediction
• [cs.SI]Tracking e-cigarette warning label compliance on Instagram with deep learning
• [econ.GN]Models, Markets, and the Forecasting of Elections
• [eess.AS]Train your classifier first: Cascade Neural Networks Training from upper layers to lower layers
• [eess.IV]A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation
• [eess.IV]A Real-World Demonstration of Machine Learning Generalizability: Intracranial Hemorrhage Detection on Head CT
• [eess.IV]Attention-Based Neural Networks for Chroma Intra Prediction in Video Coding
• [eess.IV]Improved Brain Age Estimation with Slice-based Set Networks
• [eess.IV]Learning Multi-Modal Volumetric Prostate Registration with Weak Inter-Subject Spatial Correspondence
• [eess.SP]Synthesizing Skeletal Motion and Physiological Signals as a Function of a Virtual Human’s Actions and Emotions
• [eess.SY]Orbital Stabilization of Point-to-Point Maneuvers in Underactuated Mechanical Systems
• [math.OC]A Single-Timescale Stochastic Bilevel Optimization Method
• [math.OC]On the Universal Transformation of Data-Driven Models to Control Systems
• [math.OC]Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry
• [math.OC]Tightness and Equivalence of Semidefinite Relaxations for MIMO Detection
• [math.PR]Berry—Esseen Bounds for Multivariate Nonlinear Statistics with Applications to M-estimators and Stochastic Gradient Descent Algorithms
• [math.PR]Stationary Distribution Convergence of the Offered Waiting Processes in Heavy Traffic under General Patience Time Scaling
• [math.ST]Berry-Esseen bounds of second moment estimators for Gaussian processes observed at high frequency
• [math.ST]Discrepancy Bounds for a Class of Negatively Dependent Random Points Including Latin Hypercube Samples
• [math.ST]Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing
• [physics.bio-ph]Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation
• [physics.chem-ph]Graph Energy-based Model for Substructure Preserving Molecular Design
• [physics.comp-ph]Physics-aware, deep probabilistic modeling of multiscale dynamics in the Small Data regime
• [physics.comp-ph]Physics-informed neural networks with hard constraints for inverse design
• [q-bio.GN]Data-driven design of targeted gene panels for estimating immunotherapy biomarkers
• [q-fin.PM]A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management
• [quant-ph]Facial Expression Recognition on a Quantum Computer
• [quant-ph]Quantum machine learning with adaptive linear optics
• [stat.AP]A Bayesian spatio-temporal nowcasting model for public health decision-making and surveillance
• [stat.AP]A Vector Autoregression Prediction Model for COVID-19 Outbreak
• [stat.AP]Neglecting uncertainty can lead to failing stormwater infrastructures
• [stat.AP]The future of forecasting competitions: Design attributes and principles
• [stat.ME]Nonparametric C- and D-vine based quantile regression
• [stat.ME]On an Inflated Unit-Lindley Distribution
• [stat.ME]Principal components variable importance reconstruction (PC-VIR): Exploring predictive importance in multicollinear acoustic speech data
• [stat.ME]mecor: An R package for measurement error correction in linear regression models with a continuous outcome
• [stat.ML]Automatic variational inference with cascading flows
• [stat.ML]Bootstrapping Statistical Inference for Off-Policy Evaluation
• [stat.ML]Classification of Imbalanced Credit scoring data sets Based on Ensemble Method with the Weighted-Hybrid-Sampling
• [stat.ML]Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data
• [stat.ML]Learning-augmented count-min sketches via Bayesian nonparametrics
• [stat.ML]Meta-Learning for Koopman Spectral Analysis with Short Time-series
• [stat.ML]Noisy Recurrent Neural Networks
• [stat.ML]When does gradient descent with logistic loss interpolate using deep networks with smoothed ReLU activations?
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• [cs.AI]**A Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks
Forest Agostinelli, Alexander Shmakov, Stephen McAleer, Roy Fox, Pierre Baldi
http://arxiv.org/abs/2102.04518v1
• [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/2102.03588v2
• [cs.AI]Interrogating the Black Box: Transparency through Information-Seeking Dialogues
Andrea Aler Tubella, Andreas Theodorou, Juan Carlos Nieves
http://arxiv.org/abs/2102.04714v1
• [cs.AI]Principles of Explanation in Human-AI Systems
Shane T. Mueller, Elizabeth S. Veinott, Robert R. Hoffman, Gary Klein, Lamia Alam, Tauseef Mamun, William J. Clancey
http://arxiv.org/abs/2102.04972v1
• [cs.AI]The Factory Must Grow: Automation in Factorio
Kenneth N. Reid, Iliya Miralavy, Stephen Kelly, Wolfgang Banzhaf, Cedric Gondro
http://arxiv.org/abs/2102.04871v1
• [cs.AR]Feature Engineering for Scalable Application-Level Post-Silicon Debugging
Debjit Pal, Shobha Vasudevan
http://arxiv.org/abs/2102.04554v1
• [cs.CC]On Computation Complexity of True Proof Number Search
Chao Gao
http://arxiv.org/abs/2102.04907v1
• [cs.CL]A Hybrid Task-Oriented Dialog System with Domain and Task Adaptive Pretraining
Boliang Zhang, Ying Lyu, Ning Ding, Tianhao Shen, Zhaoyang Jia, Kun Han, Kevin Knight
http://arxiv.org/abs/2102.04506v1
• [cs.CL]A study of text representations in Hate Speech Detection
Chrysoula Themeli, George Giannakopoulos, Nikiforos Pittaras
http://arxiv.org/abs/2102.04521v1
• [cs.CL]Bayesian Transformer Language Models for Speech Recognition
Boyang Xue, Jianwei Yu, Junhao Xu, Shansong Liu, Shoukang Hu, Zi Ye, Mengzhe Geng, Xunying Liu, Helen Meng
http://arxiv.org/abs/2102.04754v1
• [cs.CL]BembaSpeech: A Speech Recognition Corpus for the Bemba Language
Claytone Sikasote, Antonios Anastasopoulos
http://arxiv.org/abs/2102.04889v1
• [cs.CL]Bootstrapping Relation Extractors using Syntactic Search by Examples
Matan Eyal, Asaf Amrami, Hillel Taub-Tabib, Yoav Goldberg
http://arxiv.org/abs/2102.05007v1
• [cs.CL]Broader terms curriculum mapping: Using natural language processing and visual-supported communication to create representative program planning experiences
Rogério Duarte, Ângela Lacerda Nobre, Fernando Pimentel, Marc Jacquinet
http://arxiv.org/abs/2102.04811v1
• [cs.CL]Conversational Query Rewriting with Self-supervised Learning
Hang Liu, Meng Chen, Youzheng Wu, Xiaodong He, Bowen Zhou
http://arxiv.org/abs/2102.04708v1
• [cs.CL]Efficient Retrieval Augmented Generation from Unstructured Knowledge for Task-Oriented Dialog
David Thulke, Nico Daheim, Christian Dugast, Hermann Ney
http://arxiv.org/abs/2102.04643v1
• [cs.CL]Joint Intent Detection and Slot Filling with Wheel-Graph Attention Networks
Pengfei Wei, Bi Zeng, Wenxiong Liao
http://arxiv.org/abs/2102.04610v1
• [cs.CL]Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis
Wenmeng Yu, Hua Xu, Ziqi Yuan, Jiele Wu
http://arxiv.org/abs/2102.04830v1
• [cs.CL]Leveraging cross-platform data to improve automated hate speech detection
John D Gallacher
http://arxiv.org/abs/2102.04895v1
• [cs.CL]NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application
Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu
http://arxiv.org/abs/2102.04887v1
• [cs.CL]Statistically Profiling Biases in Natural Language Reasoning Datasets and Models
Shanshan Huang, Kenny Q. Zhu
http://arxiv.org/abs/2102.04632v1
• [cs.CL]Wake Word Detection with Streaming Transformers
Yiming Wang, Hang Lv, Daniel Povey, Lei Xie, Sanjeev Khudanpur
http://arxiv.org/abs/2102.04488v1
• [cs.CR]AI-based Blackbox Code Deobfuscation: Understand, Improve and Mitigate
Grégoire Menguy, Sébastien Bardin, Richard Bonichon, Cauim de Souza Lima
http://arxiv.org/abs/2102.04805v1
• [cs.CR]FFConv: Fast Factorized Neural Network Inference on Encrypted Data
Yuxiao Lu, Jie Lin, Chao Jin, Zhe Wang, Khin Mi Mi Aung, Xiaoli Li
http://arxiv.org/abs/2102.03494v1
• [cs.CR]Security and Privacy for Artificial Intelligence: Opportunities and Challenges
Ayodeji Oseni, Nour Moustafa, Helge Janicke, Peng Liu, Zahir Tari, Athanasios Vasilakos
http://arxiv.org/abs/2102.04661v1
• [cs.CV](AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network
Ran Cheng, Ryan Razani, Ehsan Taghavi, Enxu Li, Bingbing Liu
http://arxiv.org/abs/2102.04530v1
• [cs.CV]Absolute 3D Pose Estimation and Length Measurement of Severely Deformed Fish from Monocular Videos in Longline Fishing
Jie Mei, Jenq-Neng Hwang, Suzanne Romain, Craig Rose, Braden Moore, Kelsey Magrane
http://arxiv.org/abs/2102.04639v1
• [cs.CV]An application of a pseudo-parabolic modeling to texture image recognition
Joao B. Florindo, Eduardo Abreu
http://arxiv.org/abs/2102.05001v1
• [cs.CV]An underwater binocular stereo matching algorithm based on the best search domain
Yimin Peng, Yunlong Li, Zijing Fang
http://arxiv.org/abs/2102.04860v1
• [cs.CV]Benford’s law: what does it say on adversarial images?
João G. Zago, Fabio L. Baldissera, Eric A. Antonelo, Rodrigo T. Saad
http://arxiv.org/abs/2102.04615v1
• [cs.CV]Classification of Handwritten Names of Cities and Handwritten Text Recognition using Various Deep Learning Models
Daniyar Nurseitov, Kairat Bostanbekov, Maksat Kanatov, Anel Alimova, Abdelrahman Abdallah, Galymzhan Abdimanap
http://arxiv.org/abs/2102.04816v1
• [cs.CV]CorrDetector: A Framework for Structural Corrosion Detection from Drone Images using Ensemble Deep Learning
Abdur Rahim Mohammad Forkan, Yong-Bin Kang, Prem Prakash Jayaraman, Kewen Liao, Rohit Kaul, Graham Morgan, Rajiv Ranjan, Samir Sinha
http://arxiv.org/abs/2102.04686v1
• [cs.CV]DetCo: Unsupervised Contrastive Learning for Object Detection
Enze Xie, Jian Ding, Wenhai Wang, Xiaohang Zhan, Hang Xu, Zhenguo Li, Ping Luo
http://arxiv.org/abs/2102.04803v1
• [cs.CV]Distribution Adaptive INT8 Quantization for Training CNNs
Kang Zhao, Sida Huang, Pan Pan, Yinghan Li, Yingya Zhang, Zhenyu Gu, Yinghui Xu
http://arxiv.org/abs/2102.04782v1
• [cs.CV]Diverse Single Image Generation with Controllable Global Structure though Self-Attention
Sutharsan Mahendren, Chamira Edussooriya, Ranga Rodrigo
http://arxiv.org/abs/2102.04780v1
• [cs.CV]Dynamic Neural Networks: A Survey
Yizeng Han, Gao Huang, Shiji Song, Le Yang, Honghui Wang, Yulin Wang
http://arxiv.org/abs/2102.04906v1
• [cs.CV]End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving
Der-Hau Lee, Jinn-Liang Liu
http://arxiv.org/abs/2102.04738v1
• [cs.CV]Ensembling object detectors for image and video data analysis
Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
http://arxiv.org/abs/2102.04798v1
• [cs.CV]Fashion Focus: Multi-modal Retrieval System for Video Commodity Localization in E-commerce
Yanhao Zhang, Qiang Wang, Pan Pan, Yun Zheng, Cheng Da, Siyang Sun, Yinghui Xu
http://arxiv.org/abs/2102.04727v1
• [cs.CV]How Unique Is a Face: An Investigative Study
Michal Balazia, S L Happy, Francois Bremond, Antitza Dantcheva
http://arxiv.org/abs/2102.04965v1
• [cs.CV]Improving Visual Reasoning by Exploiting The Knowledge in Texts
Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp
http://arxiv.org/abs/2102.04760v1
• [cs.CV]Large Scale Long-tailed Product Recognition System at Alibaba
Xiangzeng Zhou, Pan Pan, Yun Zheng, Yinghui Xu, Rong Jin
http://arxiv.org/abs/2102.04652v1
• [cs.CV]Leaf Image-based Plant Disease Identification using Color and Texture Features
Nisar Ahmed, Hafiz Muhammad Shahzad Asif, Gulshan Saleem
http://arxiv.org/abs/2102.04515v1
• [cs.CV]Learning Unsupervised Cross-domain Image-to-Image Translation Using a Shared Discriminator
Rajiv Kumar, Rishabh Dabral, G. Sivakumar
http://arxiv.org/abs/2102.04699v1
• [cs.CV]Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search
Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu, Xiaodan Liang, Yong Jiang, Zhenguo Li
http://arxiv.org/abs/2102.04700v1
• [cs.CV]RMOPP: Robust Multi-Objective Post-Processing for Effective Object Detection
Mayuresh Savargaonkar, Abdallah Chehade, Samir Rawashdeh
http://arxiv.org/abs/2102.04582v1
• [cs.CV]Referring Segmentation in Images and Videos with Cross-Modal Self-Attention Network
Linwei Ye, Mrigank Rochan, Zhi Liu, Xiaoqin Zhang, Yang Wang
http://arxiv.org/abs/2102.04762v1
• [cs.CV]Residue Density Segmentation for Monitoring and Optimizing Tillage Practices
Jennifer Hobbs, Ivan Dozier, Naira Hovakimyan
http://arxiv.org/abs/2102.04866v1
• [cs.CV]Robust Motion In-betweening
Félix G. Harvey, Mike Yurick, Derek Nowrouzezahrai, Christopher Pal
http://arxiv.org/abs/2102.04942v1
• [cs.CV]SG2Caps: Revisiting Scene Graphs for Image Captioning
Subarna Tripathi, Kien Nguyen, Tanaya Guha, Bang Du, Truong Q. Nguyen
http://arxiv.org/abs/2102.04990v1
• [cs.CV]Semantic Segmentation with Labeling Uncertainty and Class Imbalance
Patrik Olã Bressan, José Marcato Junior, José Augusto Correa Martins, Diogo Nunes Gonçalves, Daniel Matte Freitas, Lucas Prado Osco, Jonathan de Andrade Silva, Zhipeng Luo, Jonathan Li, Raymundo Cordero Garcia, Wesley Nunes Gonçalves
http://arxiv.org/abs/2102.04566v1
• [cs.CV]SwiftNet: Real-time Video Object Segmentation
Haochen Wang, Xiaolong Jiang, Haibing Ren, Yao Hu, Song Bai
http://arxiv.org/abs/2102.04604v1
• [cs.CV]Telling the What while Pointing the Where: Fine-grained Mouse Trace and Language Supervision for Improved Image Retrieval
Soravit Changpinyo, Jordi Pont-Tuset, Vittorio Ferrari, Radu Soricut
http://arxiv.org/abs/2102.04980v1
• [cs.CV]TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain Gait Recognition
Jinkai Zheng, Xinchen Liu, Chenggang Yan, Jiyong Zhang, Wu Liu, Xiaoping Zhang, Tao Mei
http://arxiv.org/abs/2102.04621v1
• [cs.CV]Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning
Yu Liu, Lianghua Huang, Pan Pan, Bin Wang, Yinghui Xu, Rong Jin
http://arxiv.org/abs/2102.04848v1
• [cs.CV]UVTomo-GAN: An adversarial learning based approach for unknown view X-ray tomographic reconstruction
Mona Zehni, Zhizhen Zhao
http://arxiv.org/abs/2102.04590v1
• [cs.CV]Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance
Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Jianmin Wu, Yinghui Xu, Rong Jin
http://arxiv.org/abs/2102.04667v1
• [cs.CV]Visual Search at Alibaba
Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Yingya Zhang, Xiaofeng Ren, Rong Jin
http://arxiv.org/abs/2102.04674v1
• [cs.CY]AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks
McKane Andrus, Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick
http://arxiv.org/abs/2102.04255v1
• [cs.CY]Detecting Fake News Using Machine Learning : A Systematic Literature Review
Alim Al Ayub Ahmed, Ayman Aljabouh, Praveen Kumar Donepudi, Myung Suh Choi
http://arxiv.org/abs/2102.04458v1
• [cs.CY]E-Health Management Services in Supporting Empowerment
Muhammad Anshari
http://arxiv.org/abs/2102.04558v1
• [cs.CY]NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
Maurício Gruppi, Benjamin D. Horne, Sibel Adalı
http://arxiv.org/abs/2102.04567v1
• [cs.CY]Securing the Network for a Smart Bracelet System
Iuliana Marin, Nicolae Goga
http://arxiv.org/abs/2102.04460v1
• [cs.CY]Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier
Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira
http://arxiv.org/abs/2102.04808v1
• [cs.CY]Validating Optimal COVID-19 Vaccine Distribution Models
Mahzabeen Emu, Dhivya Chandrasekaran, Vijay Mago, Salimur Choudhury
http://arxiv.org/abs/2102.04251v1
• [cs.CY]comparing card-based vaccine credential systems with app-based vaccine credential systems
Aryan Mahindra, Chandan CV, Priyanshi Katiyar, Anshuman Sharma, Sheshank Shankar, Rohan Sukumaran, Saurish Srivastava, Armaan Bhojwani, Rohan Iyer, Ishaan Singh, Ramesh Raskar
http://arxiv.org/abs/2102.04512v1
• [cs.DC]A Framework for Auditing Data Center Energy Usage and Mitigating Environmental Footprint
Justin Gould
http://arxiv.org/abs/2102.04446v2
• [cs.DC]OptSmart: A Space Efficient Optimistic Concurrent Execution of Smart Contracts
Parwat Singh Anjana, Sweta Kumari, Sathya Peri, Sachin Rathor, Archit Somani
http://arxiv.org/abs/2102.04875v1
• [cs.DC]Superfast Coloring in CONGEST via Efficient Color Sampling
Magnús M. Halldórsson, Alexandre Nolin
http://arxiv.org/abs/2102.04546v1
• [cs.HC]Hallmarks of Human-Machine Collaboration: A framework for assessment in the DARPA Communicating with Computers Program
Robyn Kozierok, John Aberdeen, Cheryl Clark, Christopher Garay, Bradley Goodman, Tonia Korves, Lynette Hirschman, Patricia L. McDermott, Matthew W. Peterson
http://arxiv.org/abs/2102.04958v1
• [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/org/abs/2102.04174v1
• [cs.HC]Playing the Blame Game with Robots
Markus Kneer, Michael T. Stuart
http://arxiv.org/abs/2102.04527v1
• [cs.IR]FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation
Chuhan Wu, Fangzhao Wu, Yang Cao, Yongfeng Huang, Xing Xie
http://arxiv.org/abs/2102.04925v1
• [cs.IR]FeedRec: News Feed Recommendation with Various User Feedbacks
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
http://arxiv.org/abs/2102.04903v1
• [cs.IR]Large-Scale Visual Search with Binary Distributed Graph at Alibaba
Kang Zhao, Pan Pan, Yun Zheng, Yanhao Zhang, Changxu Wang, Yingya Zhang, Yinghui Xu, Rong Jin
http://arxiv.org/abs/2102.04656v1
• [cs.IR]Rethinking Ranking-based Loss Functions: Only Penalizing Negative Instances before Positive Ones is Enough
Zhuo Li, Weiqing Min, Jiajun Song, Yaohui Zhu, Shuqiang Jiang
http://arxiv.org/abs/2102.04640v1
• [cs.IT]A Provably Convergent Information Bottleneck Solution via ADMM
Teng-Hui Huang, Aly El Gamal
http://arxiv.org/abs/2102.04729v
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1
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• [cs.IT]A Provably Convergent Information Bottleneck Solution via ADMM
Teng-Hui Huang, Aly El Gamal
http://arxiv.org/abs/2102.04729v1
• [cs.IT]Constrained Secrecy Capacity of Partial-Response Wiretap Channels
Aria Nouri, Reza Asvadi, Jun Chen, Pascal O. Vontobel
http://arxiv.org/abs/2102.04941v1
• [cs.IT]Encoding and Decoding Construction D’ Lattices for Power-Constrained Communications
Fan Zhou, Arini Fitri, Khoirul Anwar, Brian M. Kurkoski
http://arxiv.org/abs/2102.04741v1
• [cs.IT]Frequency-Shift Chirp Spread Spectrum Communications with Index Modulation
Muhammad Hanif, Ha H. Nguyen
http://arxiv.org/abs/2102.04642v1
• [cs.IT]Moving Object Classification with a Sub-6 GHz Massive MIMO Array using Real Data
B. R. Manoj, Guoda Tian, Sara Gunnarsson, Fredrik Tufvesson, Erik G. Larsson
http://arxiv.org/abs/2102.04892v1
• [cs.IT]Near-Optimal Coding for Massive Multiple Access
Kuan Hsieh, Cynthia Rush, Ramji Venkataramanan
http://arxiv.org/abs/2102.04730v1
• [cs.IT]OTFS Signaling for Uplink NOMA of Heterogeneous Mobility Users
Yao Ge, Qinwen Deng, P. C. Ching, Zhi Ding
http://arxiv.org/abs/2102.04682v1
• [cs.IT]Optimal SIC Ordering and Power Allocation in Downlink Multi-Cell NOMA Systems
Sepehr Rezvani, Eduard A. Jorswieck, Nader Mokari, Mohammad R. Javan
http://arxiv.org/abs/2102.05015v1
• [cs.IT]Semiquantitative Group Testing in at Most Two Rounds
Mahdi Cheraghchi, Ryan Gabrys, Olgica Milenkovic
http://arxiv.org/abs/2102.04519v1
• [cs.IT]The Exact Rate Memory Tradeoff for Small Caches with Coded Placement
Vijith Kumar K P, Brijesh Kumar Rai, Tony Jacob
http://arxiv.org/abs/2102.04797v1
• [cs.LG]-Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers
Djordje Slijepčević, Maximilian Henzl, Lukas Daniel Klausner, Tobias Dam, Peter Kieseberg, Matthias Zeppelzauer
http://arxiv.org/abs/2102.04763v1
• [cs.LG]A Multi-Arm Bandit Approach To Subset Selection Under Constraints
Ayush Deva, Kumar Abhishek, Sujit Gujar
http://arxiv.org/abs/2102.04824v1
• [cs.LG]A New Framework for Variance-Reduced Hamiltonian Monte Carlo
Zhengmian Hu, Feihu Huang, Heng Huang
http://arxiv.org/abs/2102.04613v1
• [cs.LG]A Ranking Approach to Fair Classification
Jakob Schoeffer, Niklas Kuehl, Isabel Valera
http://arxiv.org/abs/2102.04565v1
• [cs.LG]Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning
Divyansh Jhunjhunwala, Advait Gadhikar, Gauri Joshi, Yonina C. Eldar
http://arxiv.org/abs/2102.04487v1
• [cs.LG]Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review
Dongrui Wu, Weili Fang, Yi Zhang, Liuqing Yang, Hanbin Luo, Lieyun Ding, Xiaodong Xu, Xiang Yu
http://arxiv.org/abs/2102.02729v2
• [cs.LG]AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units
Yilmazcan Özyurt, Mathias Kraus, Tobias Hatt, Stefan Feuerriegel
http://arxiv.org/abs/2102.04702v1
• [cs.LG]Behavioral Economics Approach to Interpretable Deep Image Classification. Rationally Inattentive Utility Maximization Explains Deep Image Classification
Kunal Pattanayak, Vikram Krishnamurthy
http://arxiv.org/abs/2102.04594v1
• [cs.LG]Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19
Logan Ward, Jenna A. Bilbrey, Sutanay Choudhury, Neeraj Kumar, Ganesh Sivaraman
http://arxiv.org/abs/2102.04977v1
• [cs.LG]COLOGNE: Coordinated Local Graph Neighborhood Sampling
Konstantin Kutzkov
http://arxiv.org/abs/2102.04770v1
• [cs.LG]Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface
Yonghao Song, Lie Yang, Xueyu Jia, Longhan Xie
http://arxiv.org/abs/2102.04456v1
• [cs.LG]Consensus Based Multi-Layer Perceptrons for Edge Computing
Haimonti Dutta, Nitin Nataraj, Saurabh Amarnath Mahindre
http://arxiv.org/abs/2102.05021v1
• [cs.LG]Consensus Control for Decentralized Deep Learning
Lingjing Kong, Tao Lin, Anastasia Koloskova, Martin Jaggi, Sebastian U. Stich
http://arxiv.org/abs/2102.04828v1
• [cs.LG]Continuous-Time Model-Based Reinforcement Learning
Çağatay Yıldız, Markus Heinonen, Harri Lähdesmäki
http://arxiv.org/abs/2102.04764v1
• [cs.LG]Deep Neural Network based Cough Detection using Bed-mounted Accelerometer Measurements
Madhurananda Pahar, Igor Miranda, Andreas Diacon, Thomas Niesler
http://arxiv.org/abs/2102.04997v1
• [cs.LG]Demystifying Code Summarization Models
Yu Wang, Fengjuan Gao, Linzhang Wang
http://arxiv.org/abs/2102.04625v1
• [cs.LG]Fast discovery of multidimensional subsequences for robust trajectory classification
Tarlis Portela, Jonata Tyska, Vania Bogorny
http://arxiv.org/abs/2102.04781v1
• [cs.LG]Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity
Zhuoning Yuan, Zhishuai Guo, Yi Xu, Yiming Ying, Tianbao Yang
http://arxiv.org/abs/2102.04635v1
• [cs.LG]Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication
Muah Kim, Onur Günlü, Rafael F. Schaefer
http://arxiv.org/abs/2102.04737v1
• [cs.LG]Fine-Grained Gap-Dependent Bounds for Tabular MDPs via Adaptive Multi-Step Bootstrap
Haike Xu, Tengyu Ma, Simon S. Du
http://arxiv.org/abs/2102.04692v1
• [cs.LG]Generative Models as Distributions of Functions
Emilien Dupont, Yee Whye Teh, Arnaud Doucet
http://arxiv.org/abs/2102.04776v1
• [cs.LG]Graph-Aided Online Multi-Kernel Learning
Pouya M Ghari, Yanning Shen
http://arxiv.org/abs/2102.04690v1
• [cs.LG]Inapproximability of Minimizing a Pair of DNFs or Binary Decision Trees Defining a Partial Boolean Function
David Stein, Bjoern Andres
http://arxiv.org/abs/2102.04703v1
• [cs.LG]Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games
Chen-Yu Wei, Chung-Wei Lee, Mengxiao Zhang, Haipeng Luo
http://arxiv.org/abs/2102.04540v1
• [cs.LG]Learning State Representations from Random Deep Action-conditional Predictions
Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard Lewis, Satinder Singh
http://arxiv.org/abs/2102.04897v1
• [cs.LG]Learning a powerful SVM using piece-wise linear loss functions
Pritam Anand
http://arxiv.org/abs/2102.04849v1
• [cs.LG]Learning from Shader Program Traces
Yuting Yang, Connelly Barnes, Adam Finkelstein
http://arxiv.org/abs/2102.04533v1
• [cs.LG]MALI: A memory efficient and reverse accurate integrator for Neural ODEs
Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan
http://arxiv.org/abs/2102.04668v1
• [cs.LG]MISO-wiLDCosts: Multi Information Source Optimization with Location Dependent Costs
Antonio Candelieri, Francesco Archetti
http://arxiv.org/abs/2102.04951v1
• [cs.LG]Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances
Kiri Wagstaff, Steven Lu, Emily Dunkel, Kevin Grimes, Brandon Zhao, Jesse Cai, Shoshanna B. Cole, Gary Doran, Raymond Francis, Jake Lee, Lukas Mandrake
http://arxiv.org/abs/2102.05011v1
• [cs.LG]Measuring Progress in Deep Reinforcement Learning Sample Efficiency
Florian E. Dorner
http://arxiv.org/abs/2102.04881v1
• [cs.LG]Meta-Learning with Neural Tangent Kernels
Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu
http://arxiv.org/abs/2102.03909v2
• [cs.LG]MetaTune: Meta-Learning Based Cost Model for Fast and Efficient Auto-tuning Frameworks
Jaehun Ryu, Hyojin Sung
http://arxiv.org/abs/2102.04199v2
• [cs.LG]More Is More — Narrowing the Generalization Gap by Adding Classification Heads
Roee Cates, Daphna Weinshall
http://arxiv.org/abs/2102.04924v1
• [cs.LG]Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization
Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman
http://arxiv.org/abs/2102.04523v1
• [cs.LG]On Theory-training Neural Networks to Infer the Solution of Highly Coupled Differential Equations
M. Torabi Rad, A. Viardin, M. Apel
http://arxiv.org/abs/2102.04890v1
• [cs.LG]Oops I To
59b7
ok A Gradient: Scalable Sampling for Discrete Distributions
Will Grathwohl, Kevin Swersky, Milad Hashemi, David Duvenaud, Chris J. Maddison
http://arxiv.org/abs/2102.04509v1
• [cs.LG]Output Perturbation for Differentially Private Convex Optimization with Improved Population Loss Bounds, Runtimes and Applications to Private Adversarial Training
Andrew Lowy, Meisam Razaviyayn
http://arxiv.org/abs/2102.04704v1
• [cs.LG]Pairwise Weights for Temporal Credit Assignment
Zeyu Zheng, Risto Vuorio, Richard Lewis, Satinder Singh
http://arxiv.org/abs/2102.04999v1
• [cs.LG]Provable Defense Against Delusive Poisoning
Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen
http://arxiv.org/abs/2102.04716v1
• [cs.LG]Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data
Tao Lin, Sai Praneeth Karimireddy, Sebastian U. Stich, Martin Jaggi
http://arxiv.org/abs/2102.04761v1
• [cs.LG]RL for Latent MDPs: Regret Guarantees and a Lower Bound
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
http://arxiv.org/abs/2102.04939v1
• [cs.LG]Regret Minimization in Heavy-Tailed Bandits
Shubhada Agrawal, Sandeep Juneja, Wouter M. Koolen
http://arxiv.org/abs/org/abs/2102.03734v1
• [cs.LG]Regularized Generative Adversarial Network
Gabriele Di Cerbo, Ali Hirsa, Ahmad Shayaan
http://arxiv.org/abs/2102.04593v1
• [cs.LG]Reverb: A Framework For Experience Replay
Albin Cassirer, Gabriel Barth-Maron, Eugene Brevdo, Sabela Ramos, Toby Boyd, Thibault Sottiaux, Manuel Kroiss
http://arxiv.org/abs/2102.04736v1
• [cs.LG]Robust Bandit Learning with Imperfect Context
Jianyi Yang, Shaolei Ren
http://arxiv.org/abs/2102.05018v1
• [cs.LG]SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
Bahare Fatemi, Layla El Asri, Seyed Mehran Kazemi
http://arxiv.org/abs/2102.05034v1
• [cs.LG]Sparsification via Compressed Sensing for Automatic Speech Recognition
Kai Zhen, Hieu Duy Nguyen, Feng-Ju Chang, Athanasios Mouchtaris, Ariya Rastrow, .
http://arxiv.org/abs/2102.04932v1
• [cs.LG]Spherical Message Passing for 3D Graph Networks
Yi Liu, Limei Wang, Meng Liu, Xuan Zhang, Bora Oztekin, Shuiwang Ji
http://arxiv.org/abs/2102.05013v1
• [cs.LG]Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning
Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha
http://arxiv.org/abs/2102.04775v1
• [cs.LG]Target Training Does Adversarial Training Without Adversarial Samples
Blerta Lindqvist
http://arxiv.org/abs/2102.04836v1
• [cs.LG]Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach
Yikai Zhang, Hui Qu, Qi Chang, Huidong Liu, Dimitris Metaxas, Chao Chen
http://arxiv.org/abs/2102.04655v1
• [cs.LG]VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference
Steve Dai, Rangharajan Venkatesan, Haoxing Ren, Brian Zimmer, William J. Dally, Brucek Khailany
http://arxiv.org/abs/2102.04503v1
• [cs.LG]rl_reach: Reproducible Reinforcement Learning Experiments for Robotic Reaching Tasks
Pierre Aumjaud, David McAuliffe, Francisco Javier Rodríguez Lera, Philip Cardiff
http://arxiv.org/abs/2102.04916v1
• [cs.MA]Equilibrium Refinements for Multi-Agent Influence Diagrams: Theory and Practice
Lewis Hammond, James Fox, Tom Everitt, Alessandro Abate, Michael Wooldridge
http://arxiv.org/abs/2102.05008v1
• [cs.MA]Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies
Federico Cacciamani, Andrea Celli, Marco Ciccone, Nicola Gatti
http://arxiv.org/abs/2102.05026v1
• [cs.NE]Directed particle swarm optimization with Gaussian-process-based function forecasting
Johannes Jakubik, Adrian Binding, Stefan Feuerriegel
http://arxiv.org/abs/2102.04172v2
• [cs.NE]Multi-GPU SNN Simulation with Perfect Static Load Balancing
Dennis Bautembach, Iason Oikonomidis, Antonis Argyros
http://arxiv.org/abs/2102.04681v1
• [cs.NE]Optimal Static Mutation Strength Distributions for the #card=math&code=%281%2B%CE%BB%29) Evolutionary Algorithm on OneMax
Maxim Buzdalov, Carola Doerr
http://arxiv.org/abs/2102.04944v1
• [cs.NI]Content Placement in Networks of Similarity Caches
Michele Garetto, Emilio Leonardi, Giovanni Neglia
http://arxiv.org/abs/2102.04974v1
• [cs.RO]Affordance-Based Mobile Robot Navigation Among Movable Obstacles
Maozhen Wang, Rui Luo, Aykut Ozgun Onol, Taskin Padir
http://arxiv.org/abs/2102.04918v1
• [cs.RO]Where is my hand? Deep hand segmentation for visual self-recognition in humanoid robots
Alexandre Almeida, Pedro Vicente, Alexandre Bernardino
http://arxiv.org/abs/2102.04750v1
• [cs.SD]A comparative study of two-dimensional vocal tract acoustic modeling based on Finite-Difference Time-Domain methods
Debasish Ray Mohapatra, Victor Zappi, Sidney Fels
http://arxiv.org/abs/2102.04588v1
• [cs.SD]On permutation invariant training for speech source separation
Xiaoyu Liu, Jordi Pons
http://arxiv.org/abs/2102.04945v1
• [cs.SD]TräumerAI: Dreaming Music with StyleGAN
Dasaem Jeong, Seungheon Doh, Taegyun Kwon
http://arxiv.org/abs/2102.04680v1
• [cs.SE]CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu
http://arxiv.org/abs/2102.04664v1
• [cs.SE]Learning How to Search: Generating Effective Test Cases Through Adaptive Fitness Function Selection
Hussein Almulla, Gregory Gay
http://arxiv.org/abs/2102.04822v1
• [cs.SI]Fuzzy-AHP approach using Normalized Decision Matrix on Tourism Trend Ranking based-on Social Media
Shoffan Saifullah
http://arxiv.org/abs/2102.04222v1
• [cs.SI]Opinion Dynamics Incorporating Higher-Order Interactions
Zuobai Zhang, Wanyue Xu, Zhongzhi Zhang, Guanrong Chen
http://arxiv.org/abs/2102.03569v2
• [cs.SI]SCARLET: Explainable Attention based Graph Neural Network for Fake News spreader prediction
Bhavtosh Rath, Xavier Morales, Jaideep Srivastava
http://arxiv.org/abs/2102.04627v1
• [cs.SI]Tracking e-cigarette warning label compliance on Instagram with deep learning
Chris J. Kennedy, Julia Vassey, Ho-Chun Herbert Chang, Jennifer B. Unger, Emilio Ferrara
http://arxiv.org/abs/2102.04568v1
• [econ.GN]Models, Markets, and the Forecasting of Elections
Rajiv Sethi, Julie Seager, Emily Cai, Daniel M. Benjamin, Fred Morstatter
http://arxiv.org/abs/2102.04936v1
• [eess.AS]Train your classifier first: Cascade Neural Networks Training from upper layers to lower layers
Shucong Zhang, Cong-Thanh Do, Rama Doddipatla, Erfan Loweimi, Peter Bell, Steve Renals
http://arxiv.org/abs/2102.04697v1
• [eess.IV]A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation
Michael Yeung, Evis Sala, Carola-Bibiane Schönlieb, Leonardo Rundo
http://arxiv.org/abs/2102.04525v1
• [eess.IV]A Real-World Demonstration of Machine Learning Generalizability: Intracranial Hemorrhage Detection on Head CT
Hojjat Salehinejad, Jumpei Kitamura, Noah Ditkofsky, Amy Lin, Aditya Bharatha, Suradech Suthiphosuwan, Hui-Ming Lin, Jefferson R. Wilson, Muhammad Mamdani, Errol Colak
http://arxiv.org/abs/2102.04869v1
• [eess.IV]Attention-Based Neural Networks for Chroma Intra Prediction in Video Coding
Marc Górriz, Saverio Blasi, Alan F. Smeaton, Noel E. O’Connor, Marta Mrak
http://arxiv.org/abs/2102.04993v1
• [eess.IV]Improved Brain Age Estimation with Slice-based Set Networks
Umang Gupta, Pradeep K. Lam, Greg Ver Steeg, Paul M. Thompson
http://arxiv.org/abs/2102.04438v2
• [eess.IV]Learning Multi-Modal Volumetric Prostate Registration with Weak Inter-Subject Spatial Correspondence
Oleksii Bashkanov, Anneke Meyer, Daniel Schindele, Martin Schostak, Klaus Tönnies, Christian Hansen, Marko Rak
http://arxiv.org/abs/2102.04938v1
• [eess.SP]Synthesizing Skeletal Motion and Physiological Signals as a Function of a Virtual Human’s Actions and Emotions
Bonny Banerjee, Masoumeh Heidari Kapourchali, Murchana Baruah, Mousumi Deb, Kenneth Sakauye, Mette Olufsen
http://arxiv.org/abs/2102.04548v1
• [eess.SY]Orbital Stabilization of Point-to-Point Maneuvers in Underactuated Mechanical Systems
Christian Fredrik Sætre, Anton Shiriaev
http://arxiv.org/abs/2102.04966v1
• [math.OC]A Single-Timescale Stochastic Bilevel Optimization Method
Tianyi Chen, Yuejiao Sun, Wotao Yin
http://arxiv.org/abs/2102.04671v1
• [math.OC]On the Universal Transformation of Data-Driven Models to Control Systems
Sebastian Peitz, Katharina Bieker
http://arxiv.org/abs/2102.04722v1
• [math.OC]Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry
Ziyi Chen, Yi Zhou, Tengyu Xu, Yingbin Liang
http://arxiv.org/abs/2102.04653v1
• [math.OC]Tightness and Equivalence of Semidefinite Relaxations for MIMO Detection
Ruichen Jiang, Ya-Feng Liu, Chenglong Bao, Bo Jiang
http://arxiv.org/abs/2102.04586v1
• [math.PR]Berry—Esseen Bounds for Multivariate Nonlinear Statistics with Applications to M-estimators and Stochastic Gradient Descent Algorithms
Qi-Man Shao, Zhuo-Song Zhang
http://arxiv.org/abs/2102.04923v1
• [math.PR]Stationary Distribution Convergence of the Offered Waiting Processes in Heavy Traffic under General Patience Time Scaling
Chihoon Lee, Amy R. Ward, Heng-Qing Ye
http://arxiv.org/abs/2102.04937v1
• [math.ST]Berry-Esseen bounds of second moment estimators for Gaussian processes observed at high frequency
Soukaina Douissi, Khalifa Es-Sebaiy, George Kerchev, Ivan Nourdin
http://arxiv.org/abs/2102.04810v1
• [math.ST]Discrepancy Bounds for a Class of Negatively Dependent Random Points Including Latin Hypercube Samples
Michael Gnewuch, Nils Hebbinghaus
http://arxiv.org/abs/2102.04451v1
• [math.ST]Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing
Jacob Dorn, Kevin Guo
http://arxiv.org/abs/2102.04543v1
• [physics.bio-ph]Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation
Xianghao Zhan, Yiheng Li, Yuzhe Liu, August G. Domel, Hossein Vahid Alidazeh, Zhou Zhou, Nicholas J. Cecchi, Stephen Tiernan, Jesse Ruan, Saeed Barbat, Olivier Gevaert, Michael Zeineh, Gerald Grant, David Camarillo
http://arxiv.org/abs/2102.05020v1
• [physics.chem-ph]Graph Energy-based Model for Substructure Preserving Molecular Design
Ryuichiro Hataya, Hideki Nakayama, Kazuki Yoshizoe
http://arxiv.org/abs/2102.04600v1
• [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/2102.04269v2
• [physics.comp-ph]Physics-informed neural networks with hard constraints for inverse design
Lu Lu, Raphael Pestourie, Wenjie Yao, Zhicheng Wang, Francesc Verdugo, Steven G. Johnson
http://arxiv.org/abs/2102.04626v1
• [q-bio.GN]Data-driven design of targeted gene panels for estimating immunotherapy biomarkers
Jacob R. Bradley, Timothy I. Cannings
http://arxiv.org/abs/2102.04296v2
• [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/2102.03502v2
• [quant-ph]Facial Expression Recognition on a Quantum Computer
Riccardo Mengoni, Massimiliano Incudini, Alessandra Di Pierro
http://arxiv.org/abs/2102.04823v1
• [quant-ph]Quantum machine learning with adaptive linear optics
Ulysse Chabaud, Damian Markham, Adel Sohbi
http://arxiv.org/abs/2102.04579v1
• [stat.AP]A Bayesian spatio-temporal nowcasting model for public health decision-making and surveillance
David Kline, Ayaz Hyder, Enhao Liu, Michael Rayo, Samuel Malloy, Elisabeth Root
http://arxiv.org/abs/2102.04544v1
• [stat.AP]A Vector Autoregression Prediction Model for COVID-19 Outbreak
Qinan Wang, Yaomu Zhou, Xiaofei Chen
http://arxiv.org/abs/2102.04843v1
• [stat.AP]Neglecting uncertainty can lead to failing stormwater infrastructures
Sanjib Sharma, Ben Seiyon Lee, Robert E. Nicholas, Klaus Keller
http://arxiv.org/abs/2102.04496v1
• [stat.AP]The future of forecasting competitions: Design attributes and principles
Spyros Makridakis, Chris Fry, Fotios Petropoulos, Evangelos Spiliotis
http://arxiv.org/abs/2102.04879v1
• [stat.ME]Nonparametric C- and D-vine based quantile regression
Marija Tepegjozova, Jing Zhou, Gerda Claeskens, Claudia Czado
http://arxiv.org/abs/2102.04873v1
• [stat.ME]On an Inflated Unit-Lindley Distribution
Sudeep R. Bapat, Rohit Bhardwaj
http://arxiv.org/abs/2102.04687v1
• [stat.ME]Principal components variable importance reconstruction (PC-VIR): Exploring predictive importance in multicollinear acoustic speech data
Christopher Carignan, Ander Egurtzegi
http://arxiv.org/abs/2102.04740v1
• [stat.ME]mecor: An R package for measurement error correction in linear regression models with a continuous outcome
Linda Nab, Maarten van Smeden, Ruth H. Keogh, Rolf H. H. Groenwold
http://arxiv.org/abs/2102.04791v1
• [stat.ML]Automatic variational inference with cascading flows
Luca Ambrogioni, Gianluigi Silvestri, Marcel van Gerven
http://arxiv.org/abs/2102.04801v1
• [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/2102.03607v2
• [stat.ML]Classification of Imbalanced Credit scoring data sets Based on Ensemble Method with the Weighted-Hybrid-Sampling
Xiaofan Liua, Zuoquan Zhanga, Di Wanga
http://arxiv.org/abs/2102.04721v1
• [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/2102.03895v2
• [stat.ML]Learning-augmented count-min sketches via Bayesian nonparametrics
Emanuele Dolera, Stefano Favaro, Stefano Peluchetti
http://arxiv.org/abs/2102.04462v1
• [stat.ML]Meta-Learning for Koopman Spectral Analysis with Short Time-series
Tomoharu Iwata, Yoshinobu Kawahara
http://arxiv.org/abs/2102.04683v1
• [stat.ML]Noisy Recurrent Neural Networks
Soon Hoe Lim, N. Benjamin Erichson, Liam Hodgkinson, Michael W. Mahoney
http://arxiv.org/abs/2102.04877v1
• [stat.ML]When does gradient descent with logistic loss interpolate using deep networks with smoothed ReLU activations?
Niladri S. Chatterji, Philip M. Long, Peter L. Bartlett
http://arxiv.org/abs/2102.04998v1
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