cs.AI - 人工智能
cs.CG - 计算几何学
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.DL - 数字图书馆
cs.DS - 数据结构与算法
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.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.SI - 社交网络与信息网络
econ.EM - 计量经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SY - 系统和控制
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
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]Don’t Get Yourself into Trouble! Risk-aware Decision-Making for Autonomous Vehicles
• [cs.AI]Geospatial Reasoning with Shapefiles for Supporting Policy Decisions
• [cs.AI]Information Avoidance and Overvaluation in Sequential Decision Making under Epistemic Constraints
• [cs.AI]Measurable Monte Carlo Search Error Bounds
• [cs.AI]Non-Parametric Stochastic Sequential Assignment With Random Arrival Times
• [cs.AI]Planning for Novelty: Width-Based Algorithms for Common Problems in Control, Planning and Reinforcement Learning
• [cs.CG]Relative Clustering Coefficient
• [cs.CL]A Comparative Study on Neural Architectures and Training Methods for Japanese Speech Recognition
• [cs.CL]A Modest Pareto Optimisation Analysis of Dependency Parsers in 2021
• [cs.CL]A Review of Human Evaluation for Style Transfer
• [cs.CL]AUGVIC: Exploiting BiText Vicinity for Low-Resource NMT
• [cs.CL]Auto-tagging of Short Conversational Sentences using Natural Language Processing Methods
• [cs.CL]Automatic Sexism Detection with Multilingual Transformer Models
• [cs.CL]CLTR: An End-to-End, Transformer-Based System for Cell Level Table Retrieval and Table Question Answering
• [cs.CL]Case Studies on using Natural Language Processing Techniques in Customer Relationship Management Software
• [cs.CL]Catchphrase: Automatic Detection of Cultural References
• [cs.CL]Compacter: Efficient Low-Rank Hypercomplex Adapter Layers
• [cs.CL]Comprehension Based Question Answering using Bloom’s Taxonomy
• [cs.CL]Crosslingual Embeddings are Essential in UNMT for Distant Languages: An English to IndoAryan Case Study
• [cs.CL]DGA-Net Dynamic Gaussian Attention Network for Sentence Semantic Matching
• [cs.CL]DravidianMultiModality: A Dataset for Multi-modal Sentiment Analysis in Tamil and Malayalam
• [cs.CL]Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study
• [cs.CL]FastSeq: Make Sequence Generation Faster
• [cs.CL]Fragmented and Valuable: Following Sentiment Changes in Food Tweets
• [cs.CL]Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding
• [cs.CL]Joint System-Wise Optimization for Pipeline Goal-Oriented Dialog System
• [cs.CL]Learning Multilingual Representation for Natural Language Understanding with Enhanced Cross-Lingual Supervision
• [cs.CL]MICE: A Crosslinguistic Emotion Corpus in Malay, Indonesian, Chinese and English
• [cs.CL]Making Better Use of Bilingual Information for Cross-Lingual AMR Parsing
• [cs.CL]Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning
• [cs.CL]Neural Extractive Search
• [cs.CL]Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units
• [cs.CL]On Sample Based Explanation Methods for NLP:Efficiency, Faithfulness, and Semantic Evaluation
• [cs.CL]On the Lack of Robust Interpretability of Neural Text Classifiers
• [cs.CL]Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation
• [cs.CL]Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding
• [cs.CL]Predicting the Success of Domain Adaptation in Text Similarity
• [cs.CL]Probing Multilingual Language Models for Discourse
• [cs.CL]Psycholinguistic Tripartite Graph Network for Personality Detection
• [cs.CL]RealTranS: End-to-End Simultaneous Speech Translation with Convolutional Weighted-Shrinking Transformer
• [cs.CL]Sentence Embeddings using Supervised Contrastive Learning
• [cs.CL]Sequential End-to-End Intent and Slot Label Classification and Localization
• [cs.CL]Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data
• [cs.CL]UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction
• [cs.CL]Unsupervised Automatic Speech Recognition: A Review
• [cs.CL]What Would a Teacher Do? Predicting Future Talk Moves
• [cs.CR]A Blockchain-Based Trust Management Framework with Verifiable Interactions
• [cs.CR]A reversible system based on hybrid toggle radius-4 cellular automata and its application as a block cipher
• [cs.CR]Handcrafted Backdoors in Deep Neural Networks
• [cs.CR]Recovering AES Keys with a Deep Cold Boot Attack
• [cs.CR]Tackling spam in the era of end-to-end encryption: A case study of WhatsApp
• [cs.CV]A machine learning pipeline for aiding school identification from child trafficking images
• [cs.CV]Agile wide-field imaging with selective high resolution
• [cs.CV]An Efficient Point of Gaze Estimator for Low-Resolution Imaging Systems Using Extracted Ocular Features Based Neural Architecture
• [cs.CV]CLCC: Contrastive Learning for Color Constancy
• [cs.CV]Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection
• [cs.CV]Check It Again: Progressive Visual Question Answering via Visual Entailment
• [cs.CV]CoAtNet: Marrying Convolution and Attention for All Data Sizes
• [cs.CV]Deep Tiny Network for Recognition-Oriented Face Image Quality Assessment
• [cs.CV]Distilling Image Classifiers in Object Detectors
• [cs.CV]Dual-Modality Vehicle Anomaly Detection via Bilateral Trajectory Tracing
• [cs.CV]Exploiting Learned Symmetries in Group Equivariant Convolutions
• [cs.CV]Generative Models as a Data Source for Multiview Representation Learning
• [cs.CV]Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields
• [cs.CV]Grounding inductive biases in natural images:invariance stems from variations in data
• [cs.CV]Knowledge distillation: A good teacher is patient and consistent
• [cs.CV]Learning to Rank Words: Optimizing Ranking Metrics for Word Spotting
• [cs.CV]More than meets the eye: Self-supervised depth reconstruction from brain activity
• [cs.CV]NeRF in detail: Learning to sample for view synthesis
• [cs.CV]PAM: Understanding Product Images in Cross Product Category Attribute Extraction
• [cs.CV]PCNet: A Structure Similarity Enhancement Method for Multispectral and Multimodal Image Registration
• [cs.CV]Point Cloud Upsampling via Disentangled Refinement
• [cs.CV]Real Time Egocentric Object Segmentation: THU-READ Labeling and Benchmarking Results
• [cs.CV]Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
• [cs.CV]SDGMNet: Statistic-based Dynamic Gradient Modulation for Local Descriptor Learning
• [cs.CV]SHARP: Shape-Aware Reconstruction of People In Loose Clothing
• [cs.CV]ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
• [cs.CV]Salient Object Ranking with Position-Preserved Attention
• [cs.CV]Salient Positions based Attention Network for Image Classification
• [cs.CV]Self-supervised Feature Enhancement: Applying Internal Pretext Task to Supervised Learning
• [cs.CV]Self-supervision of Feature Transformation for Further Improving Supervised Learning
• [cs.CV]Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time
• [cs.CV]Semi-supervised lane detection with Deep Hough Transform
• [cs.CV]SynthRef: Generation of Synthetic Referring Expressions for Object Segmentation
• [cs.CV]Towards Defending against Adversarial Examples via Attack-Invariant Features
• [cs.CV]Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework
• [cs.CV]Towards Training Stronger Video Vision Transformers for EPIC-KITCHENS-100 Action Recognition
• [cs.CV]Tracking by Joint Local and Global Search: A Target-aware Attention based Approach
• [cs.CV]VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation
• [cs.CV]We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature
• [cs.CY]Understanding Privacy Attitudes and Concerns Towards Remote Communications During the COVID-19 Pandemic
• [cs.DC]Benchmarking NetBASILISK: a Network Security Project for Science
• [cs.DC]Benchmarking the Nvidia GPU Lineage
• [cs.DC]Blockchain for IoT Access Control: Recent Trends and Future Research Directions
• [cs.DC]Communication-efficient SGD: From Local SGD to One-Shot Averaging
• [cs.DC]IChannels: Exploiting Current Management Mechanisms to Create Covert Channels in Modern Processors
• [cs.DC]LB4OMP: A Dynamic Load Balancing Library for Multithreaded Applications
• [cs.DC]Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development
• [cs.DL]Scientometric engineering: Revealing spatiotemporal citation dynamics via open eprints
• [cs.DS]Boolean Matrix Factorization via Nonnegative Auxiliary Optimization
• [cs.DS]Local Algorithms for Finding Densely Connected Clusters
• [cs.DS]ParChain: A Framework for Parallel Hierarchical Agglomerative Clustering using Nearest-Neighbor Chain
• [cs.GR]Neural UpFlow: A Scene Flow Learning Approach to Increase the Apparent Resolution of Particle-Based Liquids
• [cs.GT]Learning to Price Against a Moving Target
• [cs.HC]Cartographic Design of Cultural Maps
• [cs.HC]Streetonomics: Quantifying Culture Using Street Names
• [cs.IR]AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction
• [cs.IR]Global Context Enhanced Graph Neural Networks for Session-based Recommendation
• [cs.IR]Helping results assessment by adding explainable elements to the deep relevance matching model
• [cs.IR]Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems
• [cs.IT]Cooperative Beamforming for Wireless Fronthaul and Access Links in Ultra-Dense C-RANs with SWIPT: A First-Order Approach
• [cs.IT]Entropy of the Conditional Expectation under Gaussian Noise
• [cs.IT]Feedback Capacity Formulas of AGN Channels Driven by Nonstationary Autoregressive Moving Average Noise
• [cs.IT]On the Cover and Pombra Gaussian Feedback Capacity: Complete Sequential Characterizations via a Sufficient Statistic
• [cs.IT]Optimizing a Binary Intelligent Reflecting Surface for OFDM Communications under Mutual Coupling
• [cs.IT]Satellite- and Cache-assisted UAV: A Joint Cache Placement, Resource Allocation, and Trajectory Optimization for 6G Aerial Networks
• [cs.IT]Single-Server Private Linear Transformation: The Individual Privacy Case
• [cs.IT]Single-Server Private Linear Transformation: The Joint Privacy Case
• [cs.IT]Statistical Classification via Robust Hypothesis Testing
• [cs.IT]Temporal Averaging LSTM-based Channel Estimation Scheme for IEEE 802.11p Standard
• [cs.IT]The zero-rate threshold for adversarial bit-deletions is less than 1/2
• [cs.LG]A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs
• [cs.LG]A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback
• [cs.LG]A general approach for Explanations in terms of Middle Level Features
• [cs.LG]Accelerating Neural Architecture Search via Proxy Data
• [cs.LG]AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
• [cs.LG]Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions
• [cs.LG]Attacking Adversarial Attacks as A Defense
• [cs.LG]Bayesian Attention Belief Networks
• [cs.LG]Bayesian Bellman Operators
• [cs.LG]Bayesian Optimization over Hybrid Spaces
• [cs.LG]BiFair: Training Fair Models with Bilevel Optimization
• [cs.LG]ChaCha for Online AutoML
• [cs.LG]Contextual Recommendations and Low-Regret Cutting-Plane Algorithms
• [cs.LG]Cooperative Online Learning
• [cs.LG]Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling
• [cs.LG]Curriculum Design for Teaching via Demonstrations: Theory and Applications
• [cs.LG]Deep Clustering based Fair Outlier Detection
• [cs.LG]Densely connected normalizing flows
• [cs.LG]Do Transformers Really Perform Bad for Graph Representation?
• [cs.LG]Dynamic Instance-Wise Classification in Correlated Feature Spaces
• [cs.LG]EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback
• [cs.LG]EMFlow: Data Imputation in Latent Space via EM and Deep Flow Models
• [cs.LG]EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
• [cs.LG]Efficient Active Search for Combinatorial Optimization Problems
• [cs.LG]Embedding Physics to Learn Spatiotemporal Dynamics from Sparse Data
• [cs.LG]Energy-Based Models for Code Generation under Compilability Constraints
• [cs.LG]Ex uno plures: Splitting One Model into an Ensemble of Subnetworks
• [cs.LG]Expectation Programming
• [cs.LG]Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching
• [cs.LG]Fixed-Budget Best-Arm Identification in Contextual Bandits: A Static-Adaptive Algorithm
• [cs.LG]GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data
• [cs.LG]Ghosts in Neural Networks: Existence, Structure and Role of Infinite-Dimensional Null Space
• [cs.LG]Harmless Overparametrization in Two-layer Neural Networks
• [cs.LG]I Don’t Need : Identifiable Non-Linear ICA Without Side Information
• [cs.LG]Interaction-Grounded Learning
• [cs.LG]It Takes Two to Tango: Mixup for Deep Metric Learning
• [cs.LG]Labeled Data Generation with Inexact Supervision
• [cs.LG]Learning Pseudo-Backdoors for Mixed Integer Programs
• [cs.LG]Learning normal form autoencoders for data-driven discovery of universal,parameter-dependent governing equations
• [cs.LG]Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels
• [cs.LG]Memory-based Optimization Methods for Model-Agnostic Meta-Learning
• [cs.LG]Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning
• [cs.LG]Multistep Electric Vehicle Charging Station Occupancy Prediction using Mixed LSTM Neural Networks
• [cs.LG]NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs
• [cs.LG]Neighborhood Contrastive Learning Applied to Online Patient Monitoring
• [cs.LG]Network insensitivity to parameter noise via adversarial regularization
• [cs.LG]No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
• [cs.LG]Nonlinear Hawkes Processes in Time-Varying System
• [cs.LG]OODIn: An Optimised On-Device Inference Framework for Heterogeneous Mobile Devices
• [cs.LG]Offline Inverse Reinforcement Learning
• [cs.LG]On Margin-Based Cluster Recovery with Oracle Queries
• [cs.LG]On the Evolution of Neuron Communities in a Deep Learning Architecture
• [cs.LG]Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence
• [cs.LG]Operationalizing Complex Causes:A Pragmatic View of Mediation
• [cs.LG]PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning
• [cs.LG]PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
• [cs.LG]Phase Retrieval using Single-Instance Deep Generative Prior
• [cs.LG]Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning
• [cs.LG]Polynomial magic! Hermite polynomials for private data generation
• [cs.LG]Practical Machine Learning Safety: A Survey and Primer
• [cs.LG]Predicting Deep Neural Network Generalization with Perturbation Response Curves
• [cs.LG]Pretrained Encoders are All You Need
• [cs.LG]Pretraining Representations for Data-Efficient Reinforcement Learning
• [cs.LG]Probabilistic task modelling for meta-learning
• [cs.LG]Provably Faster Algorithms for Bilevel Optimization
• [cs.LG]Quickest change detection with unknown parameters: Constant complexity and near optimality
• [cs.LG]Realizing GANs via a Tunable Loss Function
• [cs.LG]Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints
• [cs.LG]Reliable Adversarial Distillation with Unreliable Teachers
• [cs.LG]Scale Free Adversarial Multi Armed Bandits
• [cs.LG]Scaling Up Graph Neural Networks Via Graph Coarsening
• [cs.LG]Self-Improved Retrosynthetic Planning
• [cs.LG]Self-Paced Context Evaluation for Contextual Reinforcement Learning
• [cs.LG]Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction
• [cs.LG]Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks
• [cs.LG]Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach
• [cs.LG]TempoRL: Learning When to Act
• [cs.LG]There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning
• [cs.LG]Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data
• [cs.LG]Towards the Memorization Effect of Neural Networks in Adversarial Training
• [cs.LG]Uncovering Closed-form Governing Equations of Nonlinear Dynamics from Videos
• [cs.LG]Understanding Softmax Confidence and Uncertainty
• [cs.LG]Vector Quantized Models for Planning
• [cs.LG]Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL
• [cs.LG]XBNet : An Extremely Boosted Neural Network
• [cs.MA]Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
• [cs.NE]A 2020 taxonomy of algorithms inspired on living beings behavior
• [cs.NE]A Case Study: Using Genetic Algorithm for Job Scheduling Problem
• [cs.NE]Multiple simultaneous solution representations in a population based evolutionary algorithm
• [cs.NE]Probabilistic Neural Network to Quantify Uncertainty of Wind Power Estimation
• [cs.NI]Engineering-Economic Evaluation of Diffractive Non-Line-Of-Sight Backhaul (e3nb): A Techno-economic Model for 3D Wireless Backhaul Assessment
• [cs.RO]A Communication Layer for Integrated Sensors and Robotic ecology Solutions to Ambient Intelligence
• [cs.RO]Design and fabrication of solar powered remote controlled all terrain sprayer and mower robot
• [cs.RO]HEAP — The autonomous walking excavator
• [cs.SD]Intermittent Speech Recovery
• [cs.SI]Design and Implementation of 5G eHealth Systems, Technologies, Use Cases and Future Challenges
• [cs.SI]Diffusion Source Identification on Networks with Statistical Confidence
• [cs.SI]Fundamental Privacy Limits in Bipartite Networks under Active Attacks
• [cs.SI]Multiple Kernel Representation Learning on Networks
• [cs.SI]Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks
• [cs.SI]Surveillance of COVID-19 Pandemic using Social Media: A Reddit Study in North Carolina
• [cs.SI]Tiplines to Combat Misinformation on Encrypted Platforms: A Case Study of the 2019 Indian Election on WhatsApp
• [econ.EM]Automatically Differentiable Random Coefficient Logistic Demand Estimation
• [econ.EM]Estimation of Optimal Dynamic Treatment Assignment Rules under Policy Constraint
• [econ.EM]On Estimating Multiple Treatment Effects with Regression
• [eess.AS]SpeechBrain: A General-Purpose Speech Toolkit
• [eess.IV]A multi-stage GAN for multi-organ chest X-ray image generation and segmentation
• [eess.IV]Fast Computational Ghost Imaging using Unpaired Deep Learning and a Constrained Generative Adversarial Network
• [eess.IV]Implicit field learning for unsupervised anomaly detection in medical images
• [eess.IV]Rethink Transfer Learning in Medical Image Classification
• [eess.IV]Spatio-Temporal Dual-Stream Neural Network for Sequential Whole-Body PET Segmentation
• [eess.IV]TED-net: Convolution-free T2T Vision Transformer-based Encoder-decoder Dilation network for Low-dose CT Denoising
• [eess.SY]Continuous-discrete multiple target tracking with out-of-sequence measurements
• [eess.SY]Job Dispatching Policies for Queueing Systems with Unknown Service Rates
• [math.OC]Avoiding Traps in Nonconvex Problems
• [math.OC]Drones for Medical Delivery Considering Different Demands Classes: A Markov Decision Process Approach for Managing Health Centers Dispatching Medical Products
• [math.OC]Efficient input placement for the optimal control of network moments
• [math.OC]Optimal Inspection of Network Systems via Value of Information Analysis
• [math.OC]Submodular + Concave
• [math.OC]Using a New Nonlinear Gradient Method for Solving Large Scale Convex Optimization Problems with an Application on Arabic Medical Text
• [math.PR]On the Hitting Time of Rapid Intensification Onset in Hurricane-like Vortices
• [math.PR]Shrinkage Estimation of Functions of Large Noisy Symmetric Matrices
• [math.PR]Some variations on the extremal index
• [math.ST]General-order observation-driven models: ergodicity and consistency of the maximum likelihood estimator
• [math.ST]Mixture weights optimisation for Alpha-Divergence Variational Inference
• [quant-ph]Quantum Annealing for Automated Feature Selection in Stress Detection
• [quant-ph]The dilemma of quantum neural networks
• [stat.AP]Fracture Mechanics-Based Quantitative Matching of Forensic Evidence Fragments
• [stat.AP]Odds Ratios are far from “portable”: A call to use realistic models for effect variation in meta-analysis
• [stat.AP]Sirius: A Mutual Information Tool for Exploratory Visualization of Mixed Data
• [stat.AP]Spatial modelling of COVID-19 incident cases using Richards’ curve: an application to the Italian regions
• [stat.AP]UEFA EURO 2020 Forecast via Nested Zero-Inflated Generalized Poisson Regression
• [stat.ME]A New Measure of Overlap: An Alternative to the p—value
• [stat.ME]Bayesian Boosting for Linear Mixed Models
• [stat.ME]Copula-Frailty Models for Recurrent Event Data Based on Monte Carlo EM Algorithm
• [stat.ME]Fast construction of optimal composite likelihoods
• [stat.ME]Markov-Switching State-Space Models with Applications to Neuroimaging
• [stat.ME]Modelling for Poisson process intensities over irregular spatial domains
• [stat.ME]On the Use of Minimum Penalties in Statistical Learning
• [stat.ME]Ultra High Dimensional Change Point Detection
• [stat.ME]Verification and Validation of Log-Periodic Power Law Models
• [stat.ML]DIGRAC: Digraph Clustering with Flow Imbalance
• [stat.ML]Fast and More Powerful Selective Inference for Sparse High-order Interaction Model
• [stat.ML]Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
• [stat.ML]Fully differentiable model discovery
• [stat.ML]Gaussian Mixture Estimation from Weighted Samples
• [stat.ML]Independent mechanism analysis, a new concept?
• [stat.ML]Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization
• [stat.ML]Loss function based second-order Jensen inequality and its application to particle variational inference
• [stat.ML]Marginalizable Density Models
• [stat.ML]Multi-Facet Clustering Variational Autoencoders
• [stat.ML]Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
• [stat.ML]Streaming Belief Propagation for Community Detection
·····································
• [cs.AI]Don’t Get Yourself into Trouble! Risk-aware Decision-Making for Autonomous Vehicles
Kasra Mokhtari, Alan R. Wagner
http://arxiv.org/abs/2106.04625v1
• [cs.AI]Geospatial Reasoning with Shapefiles for Supporting Policy Decisions
Henrique Santos, James P. McCusker, Deborah L. McGuinness
http://arxiv.org/abs/2106.04771v1
• [cs.AI]Information Avoidance and Overvaluation in Sequential Decision Making under Epistemic Constraints
Shuo Li, Matteo Pozzi
http://arxiv.org/abs/2106.04984v1
• [cs.AI]Measurable Monte Carlo Search Error Bounds
John Mern, Mykel J. Kochenderfer
http://arxiv.org/abs/2106.04715v1
• [cs.AI]Non-Parametric Stochastic Sequential Assignment With Random Arrival Times
Danial Dervovic, Parisa Hassanzadeh, Samuel Assefa, Prashant Reddy
http://arxiv.org/abs/2106.04944v1
• [cs.AI]Planning for Novelty: Width-Based Algorithms for Common Problems in Control, Planning and Reinforcement Learning
Nir Lipovetzky
http://arxiv.org/abs/2106.04866v1
• [cs.CG]Relative Clustering Coefficient
Elena Farahbakhsh Touli, Oscar Lindberg
http://arxiv.org/abs/2106.05145v1
• [cs.CL]A Comparative Study on Neural Architectures and Training Methods for Japanese Speech Recognition
Shigeki Karita, Yotaro Kubo, Michiel Adriaan Unico Bacchiani, Llion Jones
http://arxiv.org/abs/2106.05111v1
• [cs.CL]A Modest Pareto Optimisation Analysis of Dependency Parsers in 2021
Mark Anderson, Carlos Gómez Rodríguez
http://arxiv.org/abs/2106.04216v2
• [cs.CL]A Review of Human Evaluation for Style Transfer
Eleftheria Briakou, Sweta Agrawal, Ke Zhang, Joel Tetreault, Marine Carpuat
http://arxiv.org/abs/2106.04747v1
• [cs.CL]AUGVIC: Exploiting BiText Vicinity for Low-Resource NMT
Tasnim Mohiuddin, M Saiful Bari, Shafiq Joty
http://arxiv.org/abs/2106.05141v1
• [cs.CL]Auto-tagging of Short Conversational Sentences using Natural Language Processing Methods
Şükrü Ozan, D. Emre Taşar
http://arxiv.org/abs/2106.04959v1
• [cs.CL]Automatic Sexism Detection with Multilingual Transformer Models
Schütz Mina, Boeck Jaqueline, Liakhovets Daria, Slijepčević Djordje, Kirchknopf Armin, Hecht Manuel, Bogensperger Johannes, Schlarb Sven, Schindler Alexander, Zeppelzauer Matthias
http://arxiv.org/abs/2106.04908v1
• [cs.CL]CLTR: An End-to-End, Transformer-Based System for Cell Level Table Retrieval and Table Question Answering
Feifei Pan, Mustafa Canim, Michael Glass, Alfio Gliozzo, Peter Fox
http://arxiv.org/abs/2106.04441v2
• [cs.CL]Case Studies on using Natural Language Processing Techniques in Customer Relationship Management Software
Şükrü Ozan
http://arxiv.org/abs/2106.05160v1
• [cs.CL]Catchphrase: Automatic Detection of Cultural References
Nir Sweed, Dafna Shahaf
http://arxiv.org/abs/2106.04830v1
• [cs.CL]Compacter: Efficient Low-Rank Hypercomplex Adapter Layers
Rabeeh Karimi Mahabadi, James Henderson, Sebastian Ruder
http://arxiv.org/abs/2106.04647v1
• [cs.CL]Comprehension Based Question Answering using Bloom’s Taxonomy
Pritish Sahu, Michael Cogswell, Sara Rutherford-Quach, Ajay Divakaran
http://arxiv.org/abs/2106.04653v1
• [cs.CL]Crosslingual Embeddings are Essential in UNMT for Distant Languages: An English to IndoAryan Case Study
Tamali Banerjee, Rudra Murthy V, Pushpak Bhattacharyya
http://arxiv.org/abs/2106.04995v1
• [cs.CL]DGA-Net Dynamic Gaussian Attention Network for Sentence Semantic Matching
Kun Zhang, Guangyi Lv, Meng Wang, Enhong Chen
http://arxiv.org/abs/2106.04905v1
• [cs.CL]DravidianMultiModality: A Dataset for Multi-modal Sentiment Analysis in Tamil and Malayalam
Bharathi Raja Chakravarthi, Jishnu Parameswaran P. K, Premjith B, K. P Soman, Rahul Ponnusamy, Prasanna Kumar Kumaresan, Kingston Pal Thamburaj, John P. McCrae
http://arxiv.org/abs/2106.04853v1
• [cs.CL]Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study
Yash Khemchandani, Sarvesh Mehtani, Vaidehi Patil, Abhijeet Awasthi, Partha Talukdar, Sunita Sarawagi
http://arxiv.org/abs/2106.03958v2
• [cs.CL]FastSeq: Make Sequence Generation Faster
Yu Yan, Fei Hu, Jiusheng Chen, Nikhil Bhendawade, Ting Ye, Yeyun Gong, Nan Duan, Desheng Cui, Bingyu Chi, Ruifei Zhang
http://arxiv.org/abs/2106.04718v1
• [cs.CL]Fragmented and Valuable: Following Sentiment Changes in Food Tweets
Maija Kāle, Matīss Rikters
http://arxiv.org/abs/2106.04903v1
• [cs.CL]Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding
Xin Sun, Tao Ge, Furu Wei, Houfeng Wang
http://arxiv.org/abs/2106.04970v1
• [cs.CL]Joint System-Wise Optimization for Pipeline Goal-Oriented Dialog System
Zichuan Lin, Jing Huang, Bowen Zhou, Xiaodong He, Tengyu Ma
http://arxiv.org/abs/2106.04835v1
• [cs.CL]Learning Multilingual Representation for Natural Language Understanding with Enhanced Cross-Lingual Supervision
Yinpeng Guo, Liangyou Li, Xin Jiang, Qun Liu
http://arxiv.org/abs/2106.05166v1
• [cs.CL]MICE: A Crosslinguistic Emotion Corpus in Malay, Indonesian, Chinese and English
Ng Bee Chin, Yosephine Susanto, Erik Cambria
http://arxiv.org/abs/2106.04831v1
• [cs.CL]Making Better Use of Bilingual Information for Cross-Lingual AMR Parsing
Yitao Cai, Zhe Lin, Xiaojun Wan
http://arxiv.org/abs/2106.04814v1
• [cs.CL]Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning
Shuoran Jiang, Qingcai Chen, Xin Liu, Baotian Hu, Lisai Zhang
http://arxiv.org/abs/2106.05221v1
• [cs.CL]Neural Extractive Search
Shauli Ravfogel, Hillel Taub-Tabib, Yoav Goldberg
http://arxiv.org/abs/2106.04612v1
• [cs.CL]Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units
Sara Meftah, Nasredine Semmar, Youssef Tamaazousti, Hassane Essafi, Fatiha Sadat
http://arxiv.org/abs/2106.04935v1
• [cs.CL]On Sample Based Explanation Methods for NLP:Efficiency, Faithfulness, and Semantic Evaluation
Wei Zhang, Ziming Huang, Yada Zhu, Guangnan Ye, Xiaodong Cui, Fan Zhang
http://arxiv.org/abs/2106.04753v1
• [cs.CL]On the Lack of Robust Interpretability of Neural Text Classifiers
Muhammad Bilal Zafar, Michele Donini, Dylan Slack, Cédric Archambeau, Sanjiv Das, Krishnaram Kenthapadi
http://arxiv.org/abs/2106.04631v1
• [cs.CL]Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation
Cunxiao Du, Zhaopeng Tu, Jing Jiang
http://arxiv.org/abs/2106.05093v1
• [cs.CL]Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding
Narjes Nikzad-Khasmakhi, Mohammad-Reza Feizi-Derakhshi, Meysam Asgari-Chenaghlu, Mohammad-Ali Balafar, Ali-Reza Feizi-Derakhshi, Taymaz Rahkar-Farshi, Majid Ramezani, Zoleikha Jahanbakhsh-Nagadeh, Elnaz Zafarani-Moattar, Mehrdad Ranjbar-Khadivi
http://arxiv.org/abs/2106.04939v1
• [cs.CL]Predicting the Success of Domain Adaptation in Text Similarity
Nicolai Pogrebnyakov, Shohreh Shaghaghian
http://arxiv.org/abs/2106.04641v1
• [cs.CL]Probing Multilingual Language Models for Discourse
Murathan Kurfalı, Robert Östling
http://arxiv.org/abs/2106.04832v1
• [cs.CL]Psycholinguistic Tripartite Graph Network for Personality Detection
Tao Yang, Feifan Yang, Haolan Ouyang, Xiaojun Quan
http://arxiv.org/abs/2106.04963v1
• [cs.CL]RealTranS: End-to-End Simultaneous Speech Translation with Convolutional Weighted-Shrinking Transformer
Xingshan Zeng, Liangyou Li, Qun Liu
http://arxiv.org/abs/2106.04833v1
• [cs.CL]Sentence Embeddings using Supervised Contrastive Learning
Danqi Liao
http://arxiv.org/abs/2106.04791v1
• [cs.CL]Sequential End-to-End Intent and Slot Label Classification and Localization
Yiran Cao, Nihal Potdar, Anderson R. Avila
http://arxiv.org/abs/2106.04660v1
• [cs.CL]Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data
Moshe Hazoom, Vibhor Malik, Ben Bogin
http://arxiv.org/abs/2106.05006v1
• [cs.CL]UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction
Huanqin Wu, Wei Liu, Lei Li, Dan Nie, Tao Chen, Feng Zhang, Di Wang
http://arxiv.org/abs/2106.04847v1
• [cs.CL]Unsupervised Automatic Speech Recognition: A Review
Hanan Aldarmaki, Asad Ullah, Nazar Zaki
http://arxiv.org/abs/2106.04897v1
• [cs.CL]What Would a Teacher Do? Predicting Future Talk Moves
Ananya Ganesh, Martha Palmer, Katharina Kann
http://arxiv.org/abs/2106.05249v1
• [cs.CR]A Blockchain-Based Trust Management Framework with Verifiable Interactions
Shantanu Pal, Ambrose Hill, Tahiry Rabehaja, Michael Hitchens
http://arxiv.org/abs/2106.04885v1
• [cs.CR]A reversible system based on hybrid toggle radius-4 cellular automata and its application as a block cipher
Everton R. Lira, Heverton B. de Macêdo, Danielli A. Lima, Leonardo Alt, Gina M. B. Oliveira
http://arxiv.org/abs/2106.04777v1
• [cs.CR]Handcrafted Backdoors in Deep Neural Networks
Sanghyun Hong, Nicholas Carlini, Alexey Kurakin
http://arxiv.org/abs/2106.04690v1
• [cs.CR]Recovering AES Keys with a Deep Cold Boot Attack
Itamar Zimerman, Eliya Nachmani, Lior Wolf
http://arxiv.org/abs/2106.04876v1
• [cs.CR]Tackling spam in the era of end-to-end encryption: A case study of WhatsApp
Pushkal Agarwal, Aravindh Raman, Kiran Garimella, Damilola Ibosiola, Gareth Tyson, Nishanth Sastry
http://arxiv.org/abs/2106.05184v1
• [cs.CV]A machine learning pipeline for aiding school identification from child trafficking images
Sumit Mukherjee, Tina Sederholm, Anthony C. Roman, Ria Sankar, Sherrie Caltagirone, Juan Lavista Ferres
http://arxiv.org/abs/2106.05215v1
• [cs.CV]Agile wide-field imaging with selective high resolution
Lintao Peng, Liheng Bian, Tiexin Liu, Jun Zhang
http://arxiv.org/abs/2106.05082v1
• [cs.CV]An Efficient Point of Gaze Estimator for Low-Resolution Imaging Systems Using Extracted Ocular Features Based Neural Architecture
Atul Sahay, Imon Mukherjee, Kavi Arya
http://arxiv.org/abs/2106.05106v1
• [cs.CV]CLCC: Contrastive Learning for Color Constancy
Yi-Chen Lo, Chia-Che Chang, Hsuan-Chao Chiu, Yu-Hao Huang, Chia-Ping Chen, Yu-Lin Chang, Kevin Jou
http://arxiv.org/abs/2106.04989v1
• [cs.CV]Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features Selection
Hritam Basak, Rohit Kundu, Sukanta Chakraborty, Nibaran Das
http://arxiv.org/abs/2106.04919v1
• [cs.CV]Check It Again: Progressive Visual Question Answering via Visual Entailment
Qingyi Si, Zheng Lin, Mingyu Zheng, Peng Fu, Weiping Wang
http://arxiv.org/abs/2106.04605v1
• [cs.CV]CoAtNet: Marrying Convolution and Attention for All Data Sizes
Zihang Dai, Hanxiao Liu, Quoc V. Le, Mingxing Tan
http://arxiv.org/abs/2106.04803v1
• [cs.CV]Deep Tiny Network for Recognition-Oriented Face Image Quality Assessment
Baoyun Peng, Min Liu, Heng Yang, Zhaoning Zhang, Dongsheng Li
http://arxiv.org/abs/2106.04852v1
• [cs.CV]Distilling Image Classifiers in Object Detectors
Shuxuan Guo, Jose M. Alvarez, Mathieu Salzmann
http://arxiv.org/abs/2106.05209v1
• [cs.CV]Dual-Modality Vehicle Anomaly Detection via Bilateral Trajectory Tracing
Jingyuan Chen, Guanchen Ding, Yuchen Yang, Wenwei Han, Kangmin Xu, Tianyi Gao, Zhe Zhang, Wanping Ouyang, Hao Cai, Zhenzhong Chen
http://arxiv.org/abs/2106.05003v1
• [cs.CV]Exploiting Learned Symmetries in Group Equivariant Convolutions
Attila Lengyel, Jan C. van Gemert
http://arxiv.org/abs/2106.04914v1
• [cs.CV]Generative Models as a Data Source for Multiview Representation Learning
Ali Jahanian, Xavier Puig, Yonglong Tian, Phillip Isola
http://arxiv.org/abs/2106.05258v1
• [cs.CV]Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields
Wang Yifan, Lukas Rahmann, Olga Sorkine-Hornung
http://arxiv.org/abs/2106.05187v1
• [cs.CV]Grounding inductive biases in natural images:invariance stems from variations in data
Diane Bouchacourt, Mark Ibrahim, Ari S. Morcos
http://arxiv.org/abs/2106.05121v1
• [cs.CV]Knowledge distillation: A good teacher is patient and consistent
Lucas Beyer, Xiaohua Zhai, Amélie Royer, Larisa Markeeva, Rohan Anil, Alexander Kolesnikov
http://arxiv.org/abs/2106.05237v1
• [cs.CV]Learning to Rank Words: Optimizing Ranking Metrics for Word Spotting
Pau Riba, Adrià Molina, Lluis Gomez, Oriol Ramos-Terrades, Josep Lladós
http://arxiv.org/abs/2106.05144v1
• [cs.CV]More than meets the eye: Self-supervised depth reconstruction from brain activity
Guy Gaziv, Michal Irani
http://arxiv.org/abs/2106.05113v1
• [cs.CV]NeRF in detail: Learning to sample for view synthesis
Relja Arandjelović, Andrew Zisserman
http://arxiv.org/abs/2106.05264v1
• [cs.CV]PAM: Understanding Product Images in Cross Product Category Attribute Extraction
Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong
http://arxiv.org/abs/2106.04630v1
• [cs.CV]PCNet: A Structure Similarity Enhancement Method for Multispectral and Multimodal Image Registration
Si-Yuan Cao, Hui-Liang Shen, Lun Luo, Shu-Jie Chen, Chunguang Li
http://arxiv.org/abs/2106.05124v1
• [cs.CV]Point Cloud Upsampling via Disentangled Refinement
Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu
http://arxiv.org/abs/2106.04779v1
• [cs.CV]Real Time Egocentric Object Segmentation: THU-READ Labeling and Benchmarking Results
E. Gonzalez-Sosa, G. Robledo, D. Gonzalez-Morin, P. Perez-Garcia, A. Villegas
http://arxiv.org/abs/2106.04957v1
• [cs.CV]Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
Ho Kei Cheng, Yu-Wing Tai, Chi-Keung Tang
http://arxiv.org/abs/2106.05210v1
• [cs.CV]SDGMNet: Statistic-based Dynamic Gradient Modulation for Local Descriptor Learning
Jiayi Ma, Yuxin Deng
http://arxiv.org/abs/2106.04434v2
• [cs.CV]SHARP: Shape-Aware Reconstruction of People In Loose Clothing
Sai Sagar Jinka, Rohan Chacko, Astitva Srivastava, Avinash Sharma, P. J. Narayanan
http://arxiv.org/abs/2106.04778v1
• [cs.CV]ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao
http://arxiv.org/abs/2106.05095v1
• [cs.CV]Salient Object Ranking with Position-Preserved Attention
Hao Fang, Daoxin Zhang, Yi Zhang, Minghao Chen, Jiawei Li, Yao Hu, Deng Cai, Xiaofei He
http://arxiv.org/abs/2106.05047v1
• [cs.CV]Salient Positions based Attention Network for Image Classification
Sheng Fang, Kaiyu Li, Zhe Li
http://arxiv.org/abs/2106.04996v1
• [cs.CV]Self-supervised Feature Enhancement: Applying Internal Pretext Task to Supervised Learning
Yuhang Yang, Zilin Ding, Xuan Cheng, Xiaomin Wang, Ming Liu
http://arxiv.org/abs/2106.04921v1
• [cs.CV]Self-supervision of Feature Transformation for Further Improving Supervised Learning
Zilin Ding, Yuhang Yang, Xuan Cheng, Xiaomin Wang, Ming Liu
http://arxiv.org/abs/2106.04922v1
• [cs.CV]Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time
Shaowei Liu, Hanwen Jiang, Jiarui Xu, Sifei Liu, Xiaolong Wang
http://arxiv.org/abs/2106.05266v1
• [cs.CV]Semi-supervised lane detection with Deep Hough Transform
Yancong Lin, Silvia-Laura Pintea, Jan van Gemert
http://arxiv.org/abs/2106.05094v1
• [cs.CV]SynthRef: Generation of Synthetic Referring Expressions for Object Segmentation
Ioannis Kazakos, Carles Ventura, Miriam Bellver, Carina Silberer, Xavier Giro-i-Nieto
http://arxiv.org/abs/2106.04403v2
• [cs.CV]Towards Defending against Adversarial Examples via Attack-Invariant Features
Dawei Zhou, Tongliang Liu, Bo Han, Nannan Wang, Chunlei Peng, Xinbo Gao
http://arxiv.org/abs/2106.05036v1
• [cs.CV]Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework
Kevin D. McCay, Edmond S. L. Ho, Dimitrios Sakkos, Wai Lok Woo, Claire Marcroft, Patricia Dulson, Nicholas D. Embleton
http://arxiv.org/abs/2106.04966v1
• [cs.CV]Towards Training Stronger Video Vision Transformers for EPIC-KITCHENS-100 Action Recognition
Ziyuan Huang, Zhiwu Qing, Xiang Wang, Yutong Feng, Shiwei Zhang, Jianwen Jiang, Zhurong Xia, Mingqian Tang, Nong Sang, Marcelo H. Ang Jr
http://arxiv.org/abs/2106.05058v1
• [cs.CV]Tracking by Joint Local and Global Search: A Target-aware Attention based Approach
Xiao Wang, Jin Tang, Bin Luo, Yaowei Wang, Yonghong Tian, Feng Wu
http://arxiv.org/abs/2106.04840v1
• [cs.CV]VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation
Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Eric Wang, William Yang Wang, Tamara Lee Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu
http://arxiv.org/abs/2106.04632v1
• [cs.CV]We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature
Bin Liang, Jiachun Li, Jianjun Huang
http://arxiv.org/abs/2106.05261v1
• [cs.CY]Understanding Privacy Attitudes and Concerns Towards Remote Communications During the COVID-19 Pandemic
Pardis Emami-Naeini, Tiona Francisco, Tadayoshi Kohno, Franziska Roesner
http://arxiv.org/abs/2106.05227v1
• [cs.DC]Benchmarking NetBASILISK: a Network Security Project for Science
Jem Guhit, Edward Colone, Shawn McKee, Kris Steinhoff, Katarina Thomas
http://arxiv.org/abs/2106.04811v1
• [cs.DC]Benchmarking the Nvidia GPU Lineage
Martin Svedin, Steven W. D. Chien, Gibson Chikafa, Niclas Jansson, Artur Podobas
http://arxiv.org/abs/2106.04979v1
• [cs.DC]Blockchain for IoT Access Control: Recent Trends and Future Research Directions
Shantanu Pal, Ali Dorri, Raja Jurdak
http://arxiv.org/abs/2106.04808v1
• [cs.DC]Communication-efficient SGD: From Local SGD to One-Shot Averaging
Artin Spiridonoff, Alex Olshevsky, Ioannis Ch. Paschalidis
http://arxiv.org/abs/2106.04759v1
• [cs.DC]IChannels: Exploiting Current Management Mechanisms to Create Covert Channels in Modern Processors
Jawad Haj-Yahya, Jeremie S. Kim, A. Giray Yaglikci, Ivan Puddu, Lois Orosa, Juan Gómez Luna, Mohammed Alser, Onur Mutlu
http://arxiv.org/abs/2106.05050v1
• [cs.DC]LB4OMP: A Dynamic Load Balancing Library for Multithreaded Applications
Jonas H. Müller Korndörfer, Ahmed Eleliemy, Ali Mohammed, Florina M. Ciorba
http://arxiv.org/abs/2106.05108v1
• [cs.DC]Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Tainã Coleman, Dan Laney, Dong Ahn, Shantenu Jha, Dorran Howell, Stian Soiland-Reys, Ilkay Altintas, Douglas Thain, Rosa Filgueira, Yadu Babuji, Rosa M. Badia, Bartosz Balis, Silvina Caino-Lores, Scott Callaghan, Frederik Coppens, Michael R. Crusoe, Kaushik De, Frank Di Natale, Tu M. A. Do, Bjoern Enders, Thomas Fahringer, Anne Fouilloux, Grigori Fursin, Alban Gaignard, Alex Ganose, Daniel Garijo, Sandra Gesing, Carole Goble, Adil Hasan, Sebastiaan Huber, Daniel S. Katz, Ulf Leser, Douglas Lowe, Bertram Ludaescher, Ketan Maheshwari, Maciej Malawski, Rajiv Mayani, Kshitij Mehta, Andre Merzky, Todd Munson, Jonathan Ozik, Loïc Pottier, Sashko Ristov, Mehdi Roozmeh, Renan Souza, Frédéric Suter, Benjamin Tovar, Matteo Turilli, Karan Vahi, Alvaro Vidal-Torreira, Wendy Whitcup, Michael Wilde, Alan Williams, Matthew Wolf, Justin Wozniak
http://arxiv.org/abs/2106.05177v1
• [cs.DL]Scientometric engineering: Revealing spatiotemporal citation dynamics via open eprints
Keisuke Okamura
http://arxiv.org/abs/2106.05027v1
• [cs.DS]Boolean Matrix Factorization via Nonnegative Auxiliary Optimization
Duc P. Truong, Erik Skau, Derek Desantis, Boian Alexandrov
http://arxiv.org/abs/2106.04708v1
• [cs.DS]Local Algorithms for Finding Densely Connected Clusters
Peter Macgregor, He Sun
http://arxiv.org/abs/2106.05245v1
• [cs.DS]ParChain: A Framework for Parallel Hierarchical Agglomerative Clustering using Nearest-Neighbor Chain
Shangdi Yu, Yiqiu Wang, Yan Gu, Laxman Dhulipala, Julian Shun
http://arxiv.org/abs/2106.04727v1
• [cs.GR]Neural UpFlow: A Scene Flow Learning Approach to Increase the Apparent Resolution of Particle-Based Liquids
Bruno Roy, Pierre Poulin, Eric Paquette
http://arxiv.org/abs/2106.05143v1
• [cs.GT]Learning to Price Against a Moving Target
Renato Paes Leme, Balasubramanian Sivan, Yifeng Teng, Pratik Worah
http://arxiv.org/abs/2106.04689v1
• [cs.HC]Cartographic Design of Cultural Maps
Edyta Paulina Bogucka, Marios Constantinides, Luca Maria Aiello, Daniele Quercia, Wonyoung So, Melanie Bancilhon
http://arxiv.org/abs/2106.04688v1
• [cs.HC]Streetonomics: Quantifying Culture Using Street Names
Melanie Bancilhon, Marios Constantinides, Edyta Paulina Bogucka, Luca Maria Aiello, Daniele Quercia
http://arxiv.org/abs/2106.04675v1
• [cs.IR]AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction
Xiangli Yang, Qing Liu, Rong Su, Ruiming Tang, Zhirong Liu, Xiuqiang He
http://arxiv.org/abs/2106.04873v1
• [cs.IR]Global Context Enhanced Graph Neural Networks for Session-based Recommendation
Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu
http://arxiv.org/abs/2106.05081v1
• [cs.IR]Helping results assessment by adding explainable elements to the deep relevance matching model
Ioannis Chios, Suzan Verberne
http://arxiv.org/abs/2106.05147v1
• [cs.IR]Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems
Yinan Zhang, Boyang Li, Yong Liu, Hao Wang, Chunyan Miao
http://arxiv.org/abs/2106.04993v1
• [cs.IT]Cooperative Beamforming for Wireless Fronthaul and Access Links in Ultra-Dense C-RANs with SWIPT: A First-Order Approach
Fangqing Tan, Peiran Wu, Yik-Chung Wu, Minghua Xia
http://arxiv.org/abs/2106.04750v1
• [cs.IT]Entropy of the Conditional Expectation under Gaussian Noise
Arda Atalik, Alper Köse, Michael Gastpar
http://arxiv.org/abs/2106.04677v1
• [cs.IT]Feedback Capacity Formulas of AGN Channels Driven by Nonstationary Autoregressive Moving Average Noise
Stelios Louka, Christos Kourtellaris, Charalambos D. Charalambous
http://arxiv.org/abs/2106.04969v1
• [cs.IT]On the Cover and Pombra Gaussian Feedback Capacity: Complete Sequential Characterizations via a Sufficient Statistic
Charalambos D. Charalambous, Christos Kourtellaris, Stelios Louka
http://arxiv.org/abs/2106.05075v1
• [cs.IT]Optimizing a Binary Intelligent Reflecting Surface for OFDM Communications under Mutual Coupling
Emil Björnson
http://arxiv.org/abs/2106.04280v2
• [cs.IT]Satellite- and Cache-assisted UAV: A Joint Cache Placement, Resource Allocation, and Trajectory Optimization for 6G Aerial Networks
Dinh-Hieu Tran, Symeon Chatzinotas, Björn Ottersten
http://arxiv.org/abs/2106.05016v1
• [cs.IT]Single-Server Private Linear Transformation: The Individual Privacy Case
Anoosheh Heidarzadeh, Nahid Esmati, Alex Sprintson
http://arxiv.org/abs/2106.05222v1
• [cs.IT]Single-Server Private Linear Transformation: The Joint Privacy Case
Anoosheh Heidarzadeh, Nahid Esmati, Alex Sprintson
http://arxiv.org/abs/2106.05220v1
• [cs.IT]Statistical Classification via Robust Hypothesis Testing
Hüseyin Afşer
http://arxiv.org/abs/2106.04824v1
• [cs.IT]Temporal Averaging LSTM-based Channel Estimation Scheme for IEEE 802.11p Standard
Abdul Karim Gizzini, Marwa Chafii, Shahab Ehsanfar, Raed M. Shubair
http://arxiv.org/abs/2106.04829v1
• [cs.IT]The zero-rate threshold for adversarial bit-deletions is less than 1/2
Venkatesan Guruswami, Xiaoyu He, Ray Li
http://arxiv.org/abs/2106.05250v1
• [cs.LG]A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs
Runzhong Wang, Zhigang Hua, Gan Liu, Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang
http://arxiv.org/abs/2106.04927v1
• [cs.LG]A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback
Semih Cayci, Yilin Zheng, Atilla Eryilmaz
http://arxiv.org/abs/2106.05165v1
• [cs.LG]A general approach for Explanations in terms of Middle Level Features
Andrea Apicella, Francesco Isgrò, Roberto Prevete
http://arxiv.org/abs/2106.05037v1
• [cs.LG]Accelerating Neural Architecture Search via Proxy Data
Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon
http://arxiv.org/abs/2106.04784v1
• [cs.LG]AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alex Kurakin
http://arxiv.org/abs/2106.04732v1
• [cs.LG]Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions
Stefanos Laskaridis, Alexandros Kouris, Nicholas D. Lane
http://arxiv.org/abs/2106.05022v1
• [cs.LG]Attacking Adversarial Attacks as A Defense
Boxi Wu, Heng Pan, Li Shen, Jindong Gu, Shuai Zhao, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu
http://arxiv.org/abs/2106.04938v1
• [cs.LG]Bayesian Attention Belief Networks
Shujian Zhang, Xinjie Fan, Bo Chen, Mingyuan Zhou
http://arxiv.org/abs/2106.05251v1
• [cs.LG]Bayesian Bellman Operators
Matthew Fellows, Kristian Hartikainen, Shimon Whiteson
http://arxiv.org/abs/2106.05012v1
• [cs.LG]Bayesian Optimization over Hybrid Spaces
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa
http://arxiv.org/abs/2106.04682v1
• [cs.LG]BiFair: Training Fair Models with Bilevel Optimization
Mustafa Safa Ozdayi, Murat Kantarcioglu, Rishabh Iyer
http://arxiv.org/abs/2106.04757v1
• [cs.LG]ChaCha for Online AutoML
Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi
http://arxiv.org/abs/2106.04815v1
• [cs.LG]Contextual Recommendations and Low-Regret Cutting-Plane Algorithms
Sreenivas Gollapudi, Guru Guruganesh, Kostas Kollias, Pasin Manurangsi, Renato Paes Leme, Jon Schneider
http://arxiv.org/abs/2106.04819v1
• [cs.LG]Cooperative Online Learning
Tommaso R. Cesari, Riccardo Della Vecchia
http://arxiv.org/abs/2106.04982v1
• [cs.LG]Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling
Chuizheng Meng, Sirisha Rambhatla, Yan Liu
http://arxiv.org/abs/2106.05223v1
• [cs.LG]Curriculum Design for Teaching via Demonstrations: Theory and Applications
Gaurav Yengera, Rati Devidze, Parameswaran Kamalaruban, Adish Singla
http://arxiv.org/abs/2106.04696v1
• [cs.LG]Deep Clustering based Fair Outlier Detection
Hanyu Song, Peizhao Li, Hongfu Liu
http://arxiv.org/abs/2106.05127v1
• [cs.LG]Densely connected normalizing flows
Matej Grcić, Ivan Grubišić, Siniša Šegvić
http://arxiv.org/abs/2106.04627v1
• [cs.LG]Do Transformers Really Perform Bad for Graph Representation?
Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu
http://arxiv.org/abs/2106.05234v1
• [cs.LG]Dynamic Instance-Wise Classification in Correlated Feature Spaces
Yasitha Warahena Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis
http://arxiv.org/abs/2106.04668v1
• [cs.LG]EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback
Peter Richtárik, Igor Sokolov, Ilyas Fatkhullin
http://arxiv.org/abs/2106.05203v1
• [cs.LG]EMFlow: Data Imputation in Latent Space via EM and Deep Flow Models
Qi Ma, Sujit K. Ghosh
http://arxiv.org/abs/2106.04804v1
• [cs.LG]EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
Laurens Bliek, Arthur Guijt, Rickard Karlsson, Sicco Verwer, Mathijs de Weerdt
http://arxiv.org/abs/2106.04618v1
• [cs.LG]Efficient Active Search for Combinatorial Optimization Problems
André Hottung, Yeong-Dae Kwon, Kevin Tierney
http://arxiv.org/abs/2106.05126v1
• [cs.LG]Embedding Physics to Learn Spatiotemporal Dynamics from Sparse Data
Chengping Rao, Hao Sun, Yang Liu
http://arxiv.org/abs/2106.04781v1
• [cs.LG]Energy-Based Models for Code Generation under Compilability Constraints
Tomasz Korbak, Hady Elsahar, Marc Dymetman, Germán Kruszewski
http://arxiv.org/abs/2106.04985v1
• [cs.LG]Ex uno plures: Splitting One Model into an Ensemble of Subnetworks
Zhilu Zhang, Vianne R. Gao, Mert R. Sabuncu
http://arxiv.org/abs/2106.04767v1
• [cs.LG]Expectation Programming
Tim Reichelt, Adam Goliński, Luke Ong, Tom Rainforth
http://arxiv.org/abs/2106.04953v1
• [cs.LG]Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching
Tomas Folke, Scott Cheng-Hsin Yang, Sean Anderson, Patrick Shafto
http://arxiv.org/abs/2106.04684v1
• [cs.LG]Fixed-Budget Best-Arm Identification in Contextual Bandits: A Static-Adaptive Algorithm
MohammadJavad Azizi, Branislav Kveton, Mohammad Ghavamzadeh
http://arxiv.org/abs/2106.04763v1
• [cs.LG]GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data
Jens Petersen, Gregor Köhler, David Zimmerer, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein
http://arxiv.org/abs/2106.04967v1
• [cs.LG]Ghosts in Neural Networks: Existence, Structure and Role of Infinite-Dimensional Null Space
Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
http://arxiv.org/abs/2106.04770v1
• [cs.LG]Harmless Overparametrization in Two-layer Neural Networks
Huiyuan Wang, Wei Lin
http://arxiv.org/abs/2106.04795v1
• [cs.LG]I Don’t Need : Identifiable Non-Linear ICA Without Side Information
Matthew Willetts, Brooks Paige
http://arxiv.org/abs/2106.05238v1
• [cs.LG]Interaction-Grounded Learning
Tengyang Xie, John Langford, Paul Mineiro, Ida Momennejad
http://arxiv.org/abs/2106.04887v1
• [cs.LG]It Takes Two to Tango: Mixup for Deep Metric Learning
Shashanka Venkataramanan, Bill Psomas, Yannis Avrithis, Ewa Kijak, Laurent Amsaleg, Konstantinos Karantzalos
http://arxiv.org/abs/2106.04990v1
• [cs.LG]Labeled Data Generation with Inexact Supervision
Enyan Dai, Kai Shu, Yiwei Sun, Suhang Wang
http://arxiv.org/abs/2106.04716v1
• [cs.LG]Learning Pseudo-Backdoors for Mixed Integer Programs
Aaron Ferber, Jialin Song, Bistra Dilkina, Yisong Yue
http://arxiv.org/abs/2106.05080v1
• [cs.LG]Learning normal form autoencoders for data-driven discovery of universal,parameter-dependent governing equations
Manu Kalia, Steven L. Brunton, Hil G. E. Meijer, Christoph Brune, J. Nathan Kutz
http://arxiv.org/abs/2106.05102v1
• [cs.LG]Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels
Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
http://arxiv.org/abs/2106.04739v1
• [cs.LG]Memory-based Optimization Methods for Model-Agnostic Meta-Learning
Bokun Wang, Zhuoning Yuan, Yiming Ying, Tianbao Yang
http://arxiv.org/abs/2106.04911v1
• [cs.LG]Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning
Xutong Liu, Jinhang Zuo, Xiaowei Chen, Wei Chen, John C. S. Lui
http://arxiv.org/abs/2106.05065v1
• [cs.LG]Multistep Electric Vehicle Charging Station Occupancy Prediction using Mixed LSTM Neural Networks
Tai-Yu Ma, Sébastien Faye
http://arxiv.org/abs/2106.04986v1
• [cs.LG]NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs
Enyan Dai, Charu Aggarwal, Suhang Wang
http://arxiv.org/abs/2106.04714v1
• [cs.LG]Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Hugo Yèche, Gideon Dresdner, Francesco Locatello, Matthias Hüser, Gunnar Rätsch
http://arxiv.org/abs/2106.05142v1
• [cs.LG]Network insensitivity to parameter noise via adversarial regularization
Julian Bücher, Fynn Faber, Dylan R. Muir
http://arxiv.org/abs/2106.05009v1
• [cs.LG]No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng
http://arxiv.org/abs/2106.05001v1
• [cs.LG]Nonlinear Hawkes Processes in Time-Varying System
Feng Zhou, Quyu Kong, Yixuan Zhang, Cheng Feng, Jun Zhu
http://arxiv.org/abs/2106.04844v1
• [cs.LG]OODIn: An Optimised On-Device Inference Framework for Heterogeneous Mobile Devices
Stylianos I. Venieris, Ioannis Panopoulos, Iakovos S. Venieris
http://arxiv.org/abs/2106.04723v1
• [cs.LG]Offline Inverse Reinforcement Learning
Firas Jarboui, Vianney Perchet
http://arxiv.org/abs/2106.05068v1
• [cs.LG]On Margin-Based Cluster Recovery with Oracle Queries
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
http://arxiv.org/abs/2106.04913v1
• [cs.LG]On the Evolution of Neuron Communities in a Deep Learning Architecture
Sakib Mostafa, Debajyoti Mondal
http://arxiv.org/abs/2106.04693v1
• [cs.LG]Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence
Yun Kuen Cheung, Georgios Piliouras
http://arxiv.org/abs/2106.04748v1
• [cs.LG]Operationalizing Complex Causes:A Pragmatic View of Mediation
Limor Gultchin, David S. Watson, Matt J. Kusner, Ricardo Silva
http://arxiv.org/abs/2106.05074v1
• [cs.LG]PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning
Seng Pei Liew, Tsubasa Takahashi, Michihiko Ueno
http://arxiv.org/abs/2106.04590v1
• [cs.LG]PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
Kimin Lee, Laura Smith, Pieter Abbeel
http://arxiv.org/abs/2106.05091v1
• [cs.LG]Phase Retrieval using Single-Instance Deep Generative Prior
Kshitij Tayal, Raunak Manekar, Zhong Zhuang, David Yang, Vipin Kumar, Felix Hofmann, Ju Sun
http://arxiv.org/abs/2106.04812v1
• [cs.LG]Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning
Tengyang Xie, Nan Jiang, Huan Wang, Caiming Xiong, Yu Bai
http://arxiv.org/abs/2106.04895v1
• [cs.LG]Polynomial magic! Hermite polynomials for private data generation
Mijung Park, Margarita Vinaroz, Mohammad-Amin Charusaie, Frederik Harder
http://arxiv.org/abs/2106.05042v1
• [cs.LG]Practical Machine Learning Safety: A Survey and Primer
Sina Mohseni, Haotao Wang, Zhiding Yu, Chaowei Xiao, Zhangyang Wang, Jay Yadawa
http://arxiv.org/abs/2106.04823v1
• [cs.LG]Predicting Deep Neural Network Generalization with Perturbation Response Curves
Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen
http://arxiv.org/abs/2106.04765v1
• [cs.LG]Pretrained Encoders are All You Need
Mina Khan, P Srivatsa, Advait Rane, Shriram Chenniappa, Rishabh Anand, Sherjil Ozair, Pattie Maes
http://arxiv.org/abs/2106.05139v1
• [cs.LG]Pretraining Representations for Data-Efficient Reinforcement Learning
Max Schwarzer, Nitarshan Rajkumar, Michael Noukhovitch, Ankesh Anand, Laurent Charlin, Devon Hjelm, Philip Bachman, Aaron Courville
http://arxiv.org/abs/2106.04799v1
• [cs.LG]Probabilistic task modelling for meta-learning
Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro
http://arxiv.org/abs/2106.04802v1
• [cs.LG]Provably Faster Algorithms for Bilevel Optimization
Junjie Yang, Kaiyi Ji, Yingbin Liang
http://arxiv.org/abs/2106.04692v1
• [cs.LG]Quickest change detection with unknown parameters: Constant complexity and near optimality
Firas Jarboui, Viannet Perchet
http://arxiv.org/abs/2106.05061v1
• [cs.LG]Realizing GANs via a Tunable Loss Function
Gowtham R. Kurri, Tyler Sypherd, Lalitha Sankar
http://arxiv.org/abs/2106.05232v1
• [cs.LG]Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints
Xinlei Yi, Xiuxian Li, Tao Yang, Lihua Xie, Tianyou Chai, Karl H. Johansson
http://arxiv.org/abs/2106.05135v1
• [cs.LG]Reliable Adversarial Distillation with Unreliable Teachers
Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang
http://arxiv.org/abs/2106.04928v1
• [cs.LG]Scale Free Adversarial Multi Armed Bandits
Sudeep Raja Putta, Shipra Agrawal
http://arxiv.org/abs/2106.04700v1
• [cs.LG]Scaling Up Graph Neural Networks Via Graph Coarsening
Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou
http://arxiv.org/abs/2106.05150v1
• [cs.LG]Self-Improved Retrosynthetic Planning
Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin
http://arxiv.org/abs/2106.04880v1
• [cs.LG]Self-Paced Context Evaluation for Contextual Reinforcement Learning
Theresa Eimer, André Biedenkapp, Frank Hutter, Marius Lindauer
http://arxiv.org/abs/2106.05110v1
• [cs.LG]Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction
Chang Lu, Chandan K. Reddy, Yue Ning
http://arxiv.org/abs/2106.04751v1
• [cs.LG]Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks
Mario Lino, Chris Cantwell, Anil A. Bharath, Stathi Fotiadis
http://arxiv.org/abs/2106.04900v1
• [cs.LG]Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach
Federico López, Beatrice Pozzetti, Steve Trettel, Michael Strube, Anna Wienhard
http://arxiv.org/abs/2106.04941v1
• [cs.LG]TempoRL: Learning When to Act
André Biedenkapp, Raghu Rajan, Frank Hutter, Marius Lindauer
http://arxiv.org/abs/2106.05262v1
• [cs.LG]There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning
Nathan Grinsztajn, Johan Ferret, Olivier Pietquin, Philippe Preux, Matthieu Geist
http://arxiv.org/abs/2106.04480v2
• [cs.LG]Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data
Benjamin Maschler, Tim Knodel, Michael Weyrich
http://arxiv.org/abs/2106.04920v1
• [cs.LG]Towards the Memorization Effect of Neural Networks in Adversarial Training
Han Xu, Xiaorui Liu, Wentao Wang, Wenbiao Ding, Zhongqin Wu, Zitao Liu, Anil Jain, Jiliang Tang
http://arxiv.org/abs/2106.04794v1
• [cs.LG]Uncovering Closed-form Governing Equations of Nonlinear Dynamics from Videos
Lele Luan, Yang Liu, Hao Sun
http://arxiv.org/abs/2106.04776v1
• [cs.LG]Understanding Softmax Confidence and Uncertainty
Tim Pearce, Alexandra Brintrup, Jun Zhu
http://arxiv.org/abs/2106.04972v1
• [cs.LG]Vector Quantized Models for Planning
Sherjil Ozair, Yazhe Li, Ali Razavi, Ioannis Antonoglou, Aäron van den Oord, Oriol Vinyals
http://arxiv.org/abs/2106.04615v1
• [cs.LG]Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL
Yanchao Sun, Ruijie Zheng, Yongyuan Liang, Furong Huang
http://arxiv.org/abs/2106.05087v1
• [cs.LG]XBNet : An Extremely Boosted Neural Network
Tushar Sarkar
http://arxiv.org/abs/2106.05239v1
• [cs.MA]Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
Xiangyu Liu, Hangtian Jia, Ying Wen, Yaodong Yang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhipeng Hu
http://arxiv.org/abs/2106.04958v1
• [cs.NE]A 2020 taxonomy of algorithms inspired on living beings behavior
Luis Torres-Treviño
http://arxiv.org/abs/2106.04775v1
• [cs.NE]A Case Study: Using Genetic Algorithm for Job Scheduling Problem
Burak Tağtekin, Mahiye Uluyağmur Öztürk, Mert Kutay Sezer
http://arxiv.org/abs/2106.04854v1
• [cs.NE]Multiple simultaneous solution representations in a population based evolutionary algorithm
Eric S. Fraga
http://arxiv.org/abs/2106.05096v1
• [cs.NE]Probabilistic Neural Network to Quantify Uncertainty of Wind Power Estimation
Farzad Karami, Nasser Kehtarnavaz, Mario Rotea
http://arxiv.org/abs/2106.04656v1
• [cs.NI]Engineering-Economic Evaluation of Diffractive Non-Line-Of-Sight Backhaul (e3nb): A Techno-economic Model for 3D Wireless Backhaul Assessment
Edward J. Oughton, Erik Boch, Julius Kusuma
http://arxiv.org/abs/2106.04906v1
• [cs.RO]A Communication Layer for Integrated Sensors and Robotic ecology Solutions to Ambient Intelligence
Giuseppe Amato, Stefano Chessa, Mauro Dragone, Claudio Gennaro, Claudio Vairo
http://arxiv.org/abs/2106.05100v1
• [cs.RO]Design and fabrication of solar powered remote controlled all terrain sprayer and mower robot
Sri Tarun Ayyagari, Sharan Kumar Kizhakke Erakkat, Srikanth TS, Manichandra Neerati
http://arxiv.org/abs/2106.05236v1
• [cs.RO]HEAP — The autonomous walking excavator
Dominic Jud, Simon Kerscher, Martin Wermelinger, Edo Jelavic, Pascal Egli, Philipp Leemann, Gabriel Hottiger, Marco Hutter
http://arxiv.org/abs/2106.05059v1
• [cs.SD]Intermittent Speech Recovery
Yu-Chen Lin, Tsun-An Hsieh, Kuo-Hsuan Hung, Cheng Yu, Harinath Garudadri, Yu Tsao, Tei-Wei Kuo
http://arxiv.org/abs/2106.05229v1
• [cs.SI]Design and Implementation of 5G eHealth Systems, Technologies, Use Cases and Future Challenges
Di Zhang, Joel J. P. C. Rodrigues, Yunkai Zhai, Takuro Sato
http://arxiv.org/abs/2106.05086v1
• [cs.SI]Diffusion Source Identification on Networks with Statistical Confidence
Quinlan Dawkins, Tianxi Li, Haifeng Xu
http://arxiv.org/abs/2106.04800v1
• [cs.SI]Fundamental Privacy Limits in Bipartite Networks under Active Attacks
Mahshad Shariatnasab, Farhad Shirani, Elza Erkip
http://arxiv.org/abs/2106.04766v1
• [cs.SI]Multiple Kernel Representation Learning on Networks
Abdulkadir Celikkanat, Yanning Shen, Fragkiskos D. Malliaros
http://arxiv.org/abs/2106.05057v1
• [cs.SI]Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks
Changlin Wan, Muhan Zhang, Wei Hao, Sha Cao, Pan Li, Chi Zhang
http://arxiv.org/abs/2106.04292v2
• [cs.SI]Surveillance of COVID-19 Pandemic using Social Media: A Reddit Study in North Carolina
Christopher Whitfield, Yang Liu, Mohad Anwar
http://arxiv.org/abs/2106.04515v2
• [cs.SI]Tiplines to Combat Misinformation on Encrypted Platforms: A Case Study of the 2019 Indian Election on WhatsApp
Ashkan Kazemi, Kiran Garimella, Gautam Kishore Shahi, Devin Gaffney, Scott A. Hale
http://arxiv.org/abs/2106.04726v1
• [econ.EM]Automatically Differentiable Random Coefficient Logistic Demand Estimation
Andrew Chia
http://arxiv.org/abs/2106.04636v1
• [econ.EM]Estimation of Optimal Dynamic Treatment Assignment Rules under Policy Constraint
Shosei Sakaguchi
http://arxiv.org/abs/2106.05031v1
• [econ.EM]On Estimating Multiple Treatment Effects with Regression
Paul Goldsmith-Pinkham, Peter Hull, Michal Kolesár
http://arxiv.org/abs/2106.05024v1
• [eess.AS]SpeechBrain: A General-Purpose Speech Toolkit
Mirco Ravanelli, Titouan Parcollet, Peter Plantinga, Aku Rouhe, Samuele Cornell, Loren Lugosch, Cem Subakan, Nauman Dawalatabad, Abdelwahab Heba, Jianyuan Zhong, Ju-Chieh Chou, Sung-Lin Yeh, Szu-Wei Fu, Chien-Feng Liao, Elena Rastorgueva, François Grondin, William Aris, Hwidong Na, Yan Gao, Renato De Mori, Yoshua Bengio
http://arxiv.org/abs/2106.04624v1
• [eess.IV]A multi-stage GAN for multi-organ chest X-ray image generation and segmentation
Giorgio Ciano, Paolo Andreini, Tommaso Mazzierli, Monica Bianchini, Franco Scarselli
http://arxiv.org/abs/2106.05132v1
• [eess.IV]Fast Computational Ghost Imaging using Unpaired Deep Learning and a Constrained Generative Adversarial Network
Fatemeh Alishahi, Amirhossein Mohajerin-Ariaei
http://arxiv.org/abs/2106.04822v1
• [eess.IV]Implicit field learning for unsupervised anomaly detection in medical images
Sergio Naval Marimont, Giacomo Tarroni
http://arxiv.org/abs/2106.05214v1
• [eess.IV]Rethink Transfer Learning in Medical Image Classification
Le Peng, Hengyue Liang, Taihui Li, Ju Sun
http://arxiv.org/abs/2106.05152v1
• [eess.IV]Spatio-Temporal Dual-Stream Neural Network for Sequential Whole-Body PET Segmentation
Kai-Chieh Liang, Lei Bi, Ashnil Kumar, Michael Fulham, Jinman Kim
http://arxiv.org/abs/2106.04961v1
• [eess.IV]TED-net: Convolution-free T2T Vision Transformer-based Encoder-decoder Dilation network for Low-dose CT Denoising
Dayang Wang, Zhan Wu, Hengyong Yu
http://arxiv.org/abs/2106.04650v1
• [eess.SY]Continuous-discrete multiple target tracking with out-of-sequence measurements
Ángel F. García-Fernández, Wei Yi
http://arxiv.org/abs/2106.04898v1
• [eess.SY]Job Dispatching Policies for Queueing Systems with Unknown Service Rates
Tuhinangshu Choudhury, Gauri Joshi, Weina Wang, Sanjay Shakkottai
http://arxiv.org/abs/2106.04707v1
• [math.OC]Avoiding Traps in Nonconvex Problems
Sean Deyo, Veit Elser
http://arxiv.org/abs/2106.05206v1
• [math.OC]Drones for Medical Delivery Considering Different Demands Classes: A Markov Decision Process Approach for Managing Health Centers Dispatching Medical Products
Amin Asadi, Sarah Nurre Pinkley
http://arxiv.org/abs/2106.04729v1
• [math.OC]Efficient input placement for the optimal control of network moments
Philip Solimine, Anke Meyer-Baese
http://arxiv.org/abs/2106.05265v1
• [math.OC]Optimal Inspection of Network Systems via Value of Information Analysis
Chaochao Lin, Junho Song, Matteo Pozzi
http://arxiv.org/abs/2106.04988v1
• [math.OC]Submodular + Concave
Siddharth Mitra, Moran Feldman, Amin Karbasi
http://arxiv.org/abs/2106.04769v1
• [math.OC]Using a New Nonlinear Gradient Method for Solving Large Scale Convex Optimization Problems with an Application on Arabic Medical Text
Jaafar Hammoud, Ali Eisa, Natalia Dobrenko, Natalia Gusarova
http://arxiv.org/abs/2106.04383v2
• [math.PR]On the Hitting Time of Rapid Intensification Onset in Hurricane-like Vortices
Wai-Tong Louis Fan, Chanh Kieu, Dimitrios Sakellariou, Mahashweta Patra
http://arxiv.org/abs/2106.04721v1
• [math.PR]Shrinkage Estimation of Functions of Large Noisy Symmetric Matrices
Panagiotis Lolas, Lexing Ying
http://arxiv.org/abs/2106.05183v1
• [math.PR]Some variations on the extremal index
Gloria Buriticá, Meyer Nicolas, Thomas Mikosch, Olivier Wintenberger
http://arxiv.org/abs/2106.05117v1
• [math.ST]General-order observation-driven models: ergodicity and consistency of the maximum likelihood estimator
Tepmony Sim, Randal Douc, François Roueff
http://arxiv.org/abs/2106.05201v1
• [math.ST]Mixture weights optimisation for Alpha-Divergence Variational Inference
Kamélia Daudel, Randal Douc
http://arxiv.org/abs/2106.05114v1
• [quant-ph]Quantum Annealing for Automated Feature Selection in Stress Detection
Rajdeep Kumar Nath, Himanshu Thapliyal, Travis S. Humble
http://arxiv.org/abs/2106.05134v1
• [quant-ph]The dilemma of quantum neural networks
Yang Qian, Xinbiao Wang, Yuxuan Du, Xingyao Wu, Dacheng Tao
http://arxiv.org/abs/2106.04975v1
• [stat.AP]Fracture Mechanics-Based Quantitative Matching of Forensic Evidence Fragments
Geoffrey Z. Thompson, Bishoy Dawood, Tianyu Yu, Barbara K. Lograsso, John D. Vanderkolk, Ranjan Maitra, William Q. Meeker, Ashraf F. Bastawros
http://arxiv.org/abs/2106.04809v1
• [stat.AP]Odds Ratios are far from “portable”: A call to use realistic models for effect variation in meta-analysis
Mengli Xiao, Haitao Chu, Stephen Cole, Yong Chen, Richard MacLehose, David Richardson, Sander Greenland
http://arxiv.org/abs/2106.02673v2
• [stat.AP]Sirius: A Mutual Information Tool for Exploratory Visualization of Mixed Data
Jane L. Adams, Todd F. Deluca, Christopher M. Danforth, Peter S. Dodds, Yuhang Zheng, Konstantinos Anastasakis, Boyoon Choi, Allison Min, Michael M. Bessey
http://arxiv.org/abs/2106.05260v1
• [stat.AP]Spatial modelling of COVID-19 incident cases using Richards’ curve: an application to the Italian regions
Marco Mingione, Pierfrancesco Alaimo Di Loro, Alessio Farcomeni, Fabio Divino, Gianfranco Lovison, Giovanna Jona Lasinio, Antonello Maruotti
http://arxiv.org/abs/2106.05067v1
• [stat.AP]UEFA EURO 2020 Forecast via Nested Zero-Inflated Generalized Poisson Regression
Lorenz A. Gilch
http://arxiv.org/abs/2106.05174v1
• [stat.ME]A New Measure of Overlap: An Alternative to the p—value
Stephen G Walker
http://arxiv.org/abs/2106.01821v2
• [stat.ME]Bayesian Boosting for Linear Mixed Models
Boyao Zhang, Colin Griesbach, Cora Kim, Nadia Müller-Voggel, Elisabeth Bergherr
http://arxiv.org/abs/2106.04862v1
• [stat.ME]Copula-Frailty Models for Recurrent Event Data Based on Monte Carlo EM Algorithm
Khaled F. Bedair, Yili Hong, Hussein R. Al-Khalidi
http://arxiv.org/abs/2106.05204v1
• [stat.ME]Fast construction of optimal composite likelihoods
Zhendong Huang, Davide Ferrari
http://arxiv.org/abs/2106.05219v1
• [stat.ME]Markov-Switching State-Space Models with Applications to Neuroimaging
David Degras, Chee Ming Ting, Hernando Ombao
http://arxiv.org/abs/2106.05092v1
• [stat.ME]Modelling for Poisson process intensities over irregular spatial domains
Chunyi Zhao, Athanasios Kottas
http://arxiv.org/abs/2106.04654v1
• [stat.ME]On the Use of Minimum Penalties in Statistical Learning
Ben Sherwood, Bradley S. Price
http://arxiv.org/abs/2106.05172v1
• [stat.ME]Ultra High Dimensional Change Point Detection
Xin Liu, Liwen Zhang, Zhen Zhang
http://arxiv.org/abs/2106.04869v1
• [stat.ME]Verification and Validation of Log-Periodic Power Law Models
Jarret Petrillo
http://arxiv.org/abs/2106.05116v1
• [stat.ML]DIGRAC: Digraph Clustering with Flow Imbalance
Yixuan He, Gesine Reinert, Mihai Cucuringu
http://arxiv.org/abs/2106.05194v1
• [stat.ML]Fast and More Powerful Selective Inference for Sparse High-order Interaction Model
Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi
http://arxiv.org/abs/2106.04929v1
• [stat.ML]Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
Alexander Camuto, George Deligiannidis, Murat A. Erdogdu, Mert Gürbüzbalaban, Umut Şimşekli, Lingjiong Zhu
http://arxiv.org/abs/2106.04881v1
• [stat.ML]Fully differentiable model discovery
Gert-Jan Both, Remy Kusters
http://arxiv.org/abs/2106.04886v1
• [stat.ML]Gaussian Mixture Estimation from Weighted Samples
Daniel Frisch, Uwe D. Hanebeck
http://arxiv.org/abs/2106.05109v1
• [stat.ML]Independent mechanism analysis, a new concept?
Luigi Gresele, Julius von Kügelgen, Vincent Stimper, Bernhard Schölkopf, Michel Besserve
http://arxiv.org/abs/2106.05200v1
• [stat.ML]Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization
Léo Andéol, Yusei Kawakami, Yuichiro Wada, Takafumi Kanamori, Klaus-Robert Müller, Grégoire Montavon
http://arxiv.org/abs/2106.04923v1
• [stat.ML]Loss function based second-order Jensen inequality and its application to particle variational inference
Futoshi Futami, Tomoharu Iwata, Naonori Ueda, Issei Sato, Masashi Sugiyama
http://arxiv.org/abs/2106.05010v1
• [stat.ML]Marginalizable Density Models
Dar Gilboa, Ari Pakman, Thibault Vatter
http://arxiv.org/abs/2106.04741v1
• [stat.ML]Multi-Facet Clustering Variational Autoencoders
Fabian Falck, Haoting Zhang, Matthew Willetts, George Nicholson, Christopher Yau, Christopher C Holmes
http://arxiv.org/abs/2106.05241v1
• [stat.ML]Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
Julius von Kügelgen, Yash Sharma, Luigi Gresele, Wieland Brendel, Bernhard Schölkopf, Michel Besserve, Francesco Locatello
http://arxiv.org/abs/2106.04619v1
• [stat.ML]Streaming Belief Propagation for Community Detection
Yuchen Wu, MohammadHossein Bateni, Andre Linhares, Filipe Miguel Goncalves de Almeida, Andrea Montanari, Ashkan Norouzi-Fard, Jakab Tardos
http://arxiv.org/abs/2106.04805v1