cond-mat.mes-hall - 尺度和物理纳米 cs.AI - 人工智能 cs.CC - 计算复杂度 cs.CE - 计算工程、 金融和科学 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.DM - 离散数学 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.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.MG -公制几何 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cond-mat.mes-hall]Quantum device fine-tuning using unsupervised embedding learning
• [cs.AI]A Preliminary Approach for Learning Relational Policies for the Management of Critically Ill Children
• [cs.AI]A logic-based relational learning approach to relation extraction: The OntoILPER system
• [cs.AI]Exploiting Database Management Systems and Treewidth for Counting
• [cs.AI]Exploiting Language Instructions for Interpretable and Compositional Reinforcement Learning
• [cs.AI]Maximal Closed Set and Half-Space Separations in Finite Closure Systems
• [cs.AI]Merging of Ontologies Through Merging of Their Rules
• [cs.AI]Multi-Sensor Data and Knowledge Fusion — A Proposal for a Terminology Definition
• [cs.AI]Nmbr9 as a Constraint Programming Challenge
• [cs.AI]Perspectives and Ethics of the Autonomous Artificial Thinking Systems
• [cs.AI]Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes
• [cs.AI]Reward Engineering for Object Pick and Place Training
• [cs.AI]State Representation and Polyomino Placement for the Game Patchwork
• [cs.AI]Towards Evaluating Plan Generation Approaches with Instructional Texts
• [cs.CC]Structural Decompositions of Epistemic Logic Programs
• [cs.CE]Reliable and interoperable computational molecular engineering: 2. Semantic interoperability based on the European Materials and Modelling Ontology
• [cs.CG]Evaluating the snappability of bar-joint frameworks
• [cs.CL]AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search
• [cs.CL]CLUENER2020: Fine-grained Name Entity Recognition for Chinese
• [cs.CL]Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks
• [cs.CL]Joint Reasoning for Multi-Faceted Commonsense Knowledge
• [cs.CL]Learning Cross-Context Entity Representations from Text
• [cs.CL]Mining customer product reviews for product development: A summarization process
• [cs.CL]Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits
• [cs.CL]PatentTransformer-2: Controlling Patent Text Generation by Structural Metadata
• [cs.CL]ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training
• [cs.CL]Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study
• [cs.CL]Revisiting Challenges in Data-to-Text Generation with Fact Grounding
• [cs.CL]Stochastic Natural Language Generation Using Dependency Information
• [cs.CR]DeepQuarantine for Suspicious Mail
• [cs.CR]Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer
• [cs.CR]Wyner-Ziv reconciliation for key exchange based on Ring-LWE
• [cs.CV]A Bayesian 3D Multi-view Multi-object Tracking Filter
• [cs.CV]A Comparative Study for Non-rigid Image Registration and Rigid Image Registration
• [cs.CV]A Light Field Camera Calibration Method Using Sub-Aperture Related Bipartition Projection Model and 4D Corner Detection
• [cs.CV]A Novel Inspection System For Variable Data Printing Using Deep Learning
• [cs.CV]AE-OT-GAN: Training GANs from data specific latent distribution
• [cs.CV]Attention Flow: End-to-End Joint Attention Estimation
• [cs.CV]Attribute-guided Feature Learning Network for Vehicle Re-identification
• [cs.CV]Bag of Tricks for Retail Product Image Classification
• [cs.CV]Boosting Occluded Image Classification via Subspace Decomposition Based Estimation of Deep Features
• [cs.CV]Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems
• [cs.CV]Can Giraffes Become Birds? An Evaluation of Image-to-image Translation for Data Generation
• [cs.CV]Classifying All Interacting Pairs in a Single Shot
• [cs.CV]Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation
• [cs.CV]Concurrently Extrapolating and Interpolating Networks for Continuous Model Generation
• [cs.CV]Deep Learning for Person Re-identification: A Survey and Outlook
• [cs.CV]Deep Optimized Multiple Description Image Coding via Scalar Quantization Learning
• [cs.CV]Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey
• [cs.CV]Few-shot Action Recognition via Improved Attention with Self-supervision
• [cs.CV]Fine-grained Image-to-Image Transformation towards Visual Recognition
• [cs.CV]GridMask Data Augmentation
• [cs.CV]Handwritten Character Recognition Using Unique Feature Extraction Technique
• [cs.CV]Head and Tail Localization of C. elegans
• [cs.CV]Hierarchical Modeling of Multidimensional Data in Regularly Decomposed Spaces: Synthesis and Perspective
• [cs.CV]High-Fidelity Synthesis with Disentangled Representation
• [cs.CV]Learning Topometric Semantic Maps from Occupancy Grids
• [cs.CV]MHSAN: Multi-Head Self-Attention Network for Visual Semantic Embedding
• [cs.CV]Membership Inference Attacks Against Object Detection Models
• [cs.CV]Memorizing Comprehensively to Learn Adaptively: Unsupervised Cross-Domain Person Re-ID with Multi-level Memory
• [cs.CV]Modeling of Pruning Techniques for Deep Neural Networks Simplification
• [cs.CV]Multi-source Domain Adaptation for Visual Sentiment Classification
• [cs.CV]Natural Image Matting via Guided Contextual Attention
• [cs.CV]Network of Steel: Neural Font Style Transfer from Heavy Metal to Corporate Logos
• [cs.CV]Radial Based Analysis of GRNN in Non-Textured Image Inpainting
• [cs.CV]Rethinking Class Relations: Absolute-relative Few-shot Learning
• [cs.CV]Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View
• [cs.CV]RoutedFusion: Learning Real-time Depth Map Fusion
• [cs.CV]Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild
• [cs.CV]Sparse Black-box Video Attack with Reinforcement Learning
• [cs.CV]Symmetric Skip Connection Wasserstein GAN for High-Resolution Facial Image Inpainting
• [cs.CV]Towards Automated Swimming Analytics Using Deep Neural Networks
• [cs.CV]Towards Generalizable Surgical Activity Recognition Using Spatial Temporal Graph Convolutional Networks
• [cs.CV]Towards Interpretable and Robust Hand Detection via Pixel-wise Prediction
• [cs.CV]Understanding Graph Isomorphism Network for Brain MR Functional Connectivity Analysis
• [cs.CV]Unsupervised Any-to-Many Audiovisual Synthesis via Exemplar Autoencoders
• [cs.CV]Unsupervised Enhancement of Real-World Depth Images Using Tri-Cycle GAN
• [cs.CV]Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics
• [cs.CY]Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society
• [cs.CY]Evaluating Online Public Sentiments towards China: A Case Study of English and Chinese Twitter Discourse during the 2019 Chinese National Day
• [cs.CY]Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification
• [cs.CY]Measuring Women Representation and Impact in Films over Time
• [cs.CY]Securing Bring-Your-Own-Device (BYOD) Programming Exams
• [cs.CY]Theory In, Theory Out: How social theory can solve problems that machine learning can’t
• [cs.DC]Competitive Broadcast against Adaptive Adversary in Multi-channel Radio Networks
• [cs.DC]Fast-Fourier-Forecasting Resource Utilisation in Distributed Systems
• [cs.DC]Hierarchical Multi-Agent Optimization for Resource Allocation in Cloud Computing
• [cs.DC]Notes on Theory of Distributed Systems
• [cs.DC]Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach
• [cs.DC]Verifiable and Auditable Digital Interchange Framework
• [cs.DM]Domination in Signed Petri Net
• [cs.GT]Games Where You Can Play Optimally with Finite Memory
• [cs.GT]Permissioned Blockchain Revisited: A Byzantine Game-Theoretical Perspective
• [cs.GT]Resource Sharing in the Edge: A Distributed Bargaining-Theoretic Approach
• [cs.HC]Recognition and Localisation of Pointing Gestures using a RGB-D Camera
• [cs.IR]Negative Statements Considered Useful
• [cs.IR]Parameter-Efficient Transfer from Sequential Behaviors for User Profiling and Recommendation
• [cs.IR]Représentations lexicales pour la détection non supervisée d’événements dans un flux de tweets : étude sur des corpus français et anglais
• [cs.IT]An Achievable Region for the Multiple Access Wiretap Channels with Confidential and Open Messages
• [cs.IT]Approximation smooth and sparse functions by deep neural networks without saturation
• [cs.IT]Average Age of Information for a Multi-Source M/M/1 Queueing Model With Packet Management
• [cs.IT]Capacity Bounds for Communication Systems with Quantization and Spectral Constraints
• [cs.IT]Capacity and Optimal Resource Allocation for IRS-assisted Multi-user Communication Systems
• [cs.IT]Coded Distributed Computing Schemes with Smaller Numbers of Input Files and Output Functions
• [cs.IT]Communications-Caching-Computing Tradeoff Analysis for Bidirectional Data Computation in Mobile Edge Networks
• [cs.IT]Computable Lower Bounds for Capacities of Input-Driven Finite-State Channels
• [cs.IT]Decentralized sequential active hypothesis testing and the MAC feedback capacity
• [cs.IT]Distributed Secure Storage: Rate-Privacy Trade-Off and XOR-Based Coding Scheme
• [cs.IT]DoF Region of the Decentralized MIMO Broadcast Channel$\unicode{x2014}$How many informed antennas do we need?
• [cs.IT]Efficient decoding of polar codes with some 16$\times$16 kernels
• [cs.IT]Error Exponents of Mismatched Likelihood Ratio Testing
• [cs.IT]Feedback Channel Communication with Low Precision Arithmetic
• [cs.IT]Finite-Level Quantization Procedures for Construction and Decoding of Polar Codes
• [cs.IT]Finite-Sample Analysis of Image Registration
• [cs.IT]Functional Error Correction for Robust Neural Networks
• [cs.IT]Game of Ages
• [cs.IT]Gaussian Multiple and Random Access in the Finite Blocklength Regime
• [cs.IT]Heterogeneous Computation Assignments in Coded Elastic Computing
• [cs.IT]Information transmission bounds between moving terminals
• [cs.IT]List Decoding of Universal Polar Codes
• [cs.IT]Locally Decodable Codes with Randomized Encoding
• [cs.IT]Minimizing Age of Information via Hybrid NOMA/OMA
• [cs.IT]NOMA Enhanced Terrestrial and Aerial IoT Networks with Partial CSI
• [cs.IT]On Approximate Message Passing for Unsourced Access with Coded Compressed Sensing
• [cs.IT]On the Compressibility of Affinely Singular Random Vectors
• [cs.IT]On the Gap between Scalar and Vector Solutions of Generalized Combination Networks
• [cs.IT]On the Jacobi sums over Galois rings
• [cs.IT]One shot approach to lossy source coding under average distortion constraints
• [cs.IT]Optimizing the Write Fidelity of MRAMs
• [cs.IT]Partially symmetric monomial codes
• [cs.IT]Private Information Retrieval Over Gaussian MAC
• [cs.IT]Secure Decentralized Pliable Index Coding
• [cs.IT]The Capacity of Private Information Retrieval Under Arbitrary Collusion Patterns
• [cs.IT]Unsourced Multiuser Sparse Regression Codes achieve the Symmetric MAC Capacity
• [cs.IT]Upper Bound Scalability on Achievable Rates of Batched Codes for Line Networks
• [cs.LG]Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers
• [cs.LG]An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs
• [cs.LG]Backward Feature Correction: How Deep Learning Performs Deep Learning
• [cs.LG]Confidence Scores Make Instance-dependent Label-noise Learning Possible
• [cs.LG]Deep Image Translation with an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection
• [cs.LG]Deep Reinforcement Learning for Complex Manipulation Tasks with Sparse Feedback
• [cs.LG]Explaining the Explainer: A First Theoretical Analysis of LIME
• [cs.LG]Fast is better than free: Revisiting adversarial training
• [cs.LG]Fundamental Limits of Online Learning: An Entropic-Innovations Viewpoint
• [cs.LG]Hyperparameters optimization for Deep Learning based emotion prediction for Human Robot Interaction
• [cs.LG]Incremental Unsupervised Domain-Adversarial Training of Neural Networks
• [cs.LG]Intelligence, physics and information — the tradeoff between accuracy and simplicity in machine learning
• [cs.LG]LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction
• [cs.LG]Learning ergodic averages in chaotic systems
• [cs.LG]Numerical Sequence Prediction using Bayesian Concept Learning
• [cs.LG]On implicit regularization: Morse functions and applications to matrix factorization
• [cs.LG]Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants
• [cs.LG]RCD: Repetitive causal discovery of linear non-Gaussian acyclic models with latent confounders
• [cs.LG]Reformer: The Efficient Transformer
• [cs.LG]Relational State-Space Model for Stochastic Multi-Object Systems
• [cs.LG]ReluDiff: Differential Verification of Deep Neural Networks
• [cs.LG]Residual Attention Net for Superior Cross-Domain Time Sequence Modeling
• [cs.LG]Semi-supervised learning method based on predefined evenly-distributed class centroids
• [cs.LG]Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning
• [cs.LG]Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems
• [cs.LG]Symplectic networks: Intrinsic structure-preserving networks for identifying Hamiltonian systems
• [cs.LG]Tangent-Space Gradient Optimization of Tensor Network for Machine Learning
• [cs.LG]Towards GAN Benchmarks Which Require Generalization
• [cs.LG]Towards High Performance Java-based Deep Learning Frameworks
• [cs.LG]Unbiased and Efficient Log-Likelihood Estimation with Inverse Binomial Sampling
• [cs.LG]Universal Differential Equations for Scientific Machine Learning
• [cs.LG]WICA: nonlinear weighted ICA
• [cs.NI]Collaborative Multi-Agent Multi-Armed Bandit Learning for Small-Cell Caching
• [cs.PF]Optimal Scheduling for Maximizing Information Freshness & System Performance in Industrial Cyber-Physical Systems
• [cs.PF]The Two-Pass Softmax Algorithm
• [cs.RO]Are you still with me? Continuous Engagement Assessment from a Robot’s Point of View
• [cs.RO]Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference
• [cs.RO]LESS is More: Rethinking Probabilistic Models of Human Behavior
• [cs.RO]Learning to Locomote with Deep Neural-Network and CPG-based Control in a Soft Snake Robot
• [cs.RO]Learning to drive via Apprenticeship Learning and Deep Reinforcement Learning
• [cs.RO]NimbRo Logistics — Project KittingBot
• [cs.RO]When Humans Aren’t Optimal: Robots that Collaborate with Risk-Aware Humans
• [cs.SD]CURE Dataset: Ladder Networks for Audio Event Classification
• [cs.SI]A Game Generative Network Framework with its Application to Relationship Inference
• [cs.SI]LibreSocial: A Peer-to-Peer Framework for Online Social Networks
• [eess.AS]Improving Dysarthric Speech Intelligibility Using Cycle-consistent Adversarial Training
• [eess.AS]Visually Guided Self Supervised Learning of Speech Representations
• [eess.IV]Adversarial Loss for Semantic Segmentation of Aerial Imagery
• [eess.IV]AttentionAnatomy: A unified framework for whole-body organs at risk segmentation using multiple partially annotated datasets
• [eess.IV]DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior
• [eess.IV]Dynamic Coronary Roadmapping via Catheter Tip Tracking in X-ray Fluoroscopy with Deep Learning Based Bayesian Filtering
• [eess.IV]Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention
• [eess.SP]Channel Assignment in Uplink Wireless Communication using Machine Learning Approach
• [eess.SY]Self-Driving like a Human driver instead of a Robocar: Personalized comfortable driving experience for autonomous vehicles
• [math.MG]Majorization and minimal energy on spheres
• [math.NA]A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs
• [math.NA]Accelerating Block Coordinate Descent for Nonnegative Tensor Factorization
• [math.OC]Dominance Move calculation using a MIP approach for comparison of multi and many-objective optimization solution sets
• [math.OC]Information Newton’s flow: second-order optimization method in probability space
• [math.OC]On the synthesis of control policies from noisy example datasets: a probabilistic approach
• [math.ST]Convergence of Chao Unseen Species Estimator
• [math.ST]Prediction with eventual almost sure guarantees
• [math.ST]Trees, forests, and impurity-based variable importance
• [quant-ph]Capacity of Quantum Private Information Retrieval with Colluding Servers
• [quant-ph]Derivaton of QUBO formulations for sparse estimation
• [quant-ph]Infinite-fold enhancement in communications capacity using pre-shared entanglement
• [quant-ph]Linear programming bounds for quantum amplitude damping codes
• [stat.AP]Breaking hypothesis testing for failure rates
• [stat.AP]Causal Mediation Analysis with Multiple Treatments and Latent Confounders
• [stat.AP]Estimating the Competitive Storage Model with Stochastic Trends in Commodity Prices
• [stat.AP]Prediction and Evaluation in College Hockey using the Bradley-Terry-Zermelo Model
• [stat.AP]Towards causality-aware predictions in static machine learning tasks: the linear structural causal model case
• [stat.CO]Considering discrepancy when calibrating a mechanistic electrophysiology model
• [stat.ME]A likelihood analysis of quantile-matching transformations
• [stat.ME]Causal Inferences in Small Area Estimation
• [stat.ME]Empirical bias-reducing adjustments to estimating functions
• [stat.ME]Forecasting multiple functional time series in a group structure: an application to mortality
• [stat.ME]Generalized Linear Models for Longitudinal Data with Biased Sampling Designs: A Sequential Offsetted Regressions Approach
• [stat.ME]Notes on Exact Power Calculations for t Tests and Analysis of Covariance
• [stat.ME]Panel Data Quantile Regression for Treatment Effect Models
• [stat.ME]Reproducible Bootstrap Aggregating
• [stat.ME]Review of Probability Distributions for Modeling Count Data
• [stat.ME]Robust Two-Step Wavelet-Based Inference for Time Series Models
• [stat.ML]Bayesian Semi-supervised learning under nonparanormality
• [stat.ML]Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models
• [stat.ML]On Feature Interactions Identified by Shapley Values of Binary Classification Games
• [stat.ML]POPCORN: Partially Observed Prediction COnstrained ReiNforcement Learning
·····································
• [cond-mat.mes-hall]Quantum device fine-tuning using unsupervised embedding learning
N. M. van Esbroeck, D. T. Lennon, H. Moon, V. Nguyen, F. Vigneau, L. C. Camenzind, L. Yu, D. M. Zumbühl, G. A. D. Briggs, D. Sejdinovic, N. Ares
http://arxiv.org/abs/2001.04409v1
• [cs.AI]A Preliminary Approach for Learning Relational Policies for the Management of Critically Ill Children
Michael A. Skinner, Lakshmi Raman, Neel Shah, Abdelaziz Farhat, Sriraam Natarajan
http://arxiv.org/abs/2001.04432v1
• [cs.AI]A logic-based relational learning approach to relation extraction: The OntoILPER system
Rinaldo Lima, Bernard Espinasse
http://arxiv.org/abs/2001.04192v1
• [cs.AI]Exploiting Database Management Systems and Treewidth for Counting
Johannes K. Fichte, Markus Hecher, Patrick Thier, Stefan Woltran
http://arxiv.org/abs/2001.04191v1
• [cs.AI]Exploiting Language Instructions for Interpretable and Compositional Reinforcement Learning
Michiel van der Meer, Matteo Pirotta, Elia Bruni
http://arxiv.org/abs/2001.04418v1
• [cs.AI]Maximal Closed Set and Half-Space Separations in Finite Closure Systems
Florian Seiffarth, Tamas Horvath, Stefan Wrobel
http://arxiv.org/abs/2001.04417v1
• [cs.AI]Merging of Ontologies Through Merging of Their Rules
Olegs Verhodubs
http://arxiv.org/abs/2001.04326v1
• [cs.AI]Multi-Sensor Data and Knowledge Fusion — A Proposal for a Terminology Definition
Silvia Beddar-Wiesing, Maarten Bieshaar
http://arxiv.org/abs/2001.04171v1
• [cs.AI]Nmbr9 as a Constraint Programming Challenge
Mikael Zayenz Lagerkvist
http://arxiv.org/abs/2001.04238v1
• [cs.AI]Perspectives and Ethics of the Autonomous Artificial Thinking Systems
Joël Colloc
http://arxiv.org/abs/2001.04270v1
• [cs.AI]Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes
Maxime Bouton, Jana Tumova, Mykel J. Kochenderfer
http://arxiv.org/abs/2001.03809v1
• [cs.AI]Reward Engineering for Object Pick and Place Training
Raghav Nagpal, Achyuthan Unni Krishnan, Hanshen Yu
http://arxiv.org/abs/2001.03792v1
• [cs.AI]State Representation and Polyomino Placement for the Game Patchwork
Mikael Zayenz Lagerkvist
http://arxiv.org/abs/2001.04233v1
• [cs.AI]Towards Evaluating Plan Generation Approaches with Instructional Texts
Debajyoti Paul Chowdhury, Arghya Biswas, Tomasz Sosnowski, Kristina Yordanova
http://arxiv.org/abs/2001.04186v1
• [cs.CC]Structural Decompositions of Epistemic Logic Programs
Markus Hecher, Michael Morak, Stefan Woltran
http://arxiv.org/abs/2001.04219v1
• [cs.CE]Reliable and interoperable computational molecular engineering: 2. Semantic interoperability based on the European Materials and Modelling Ontology
Martin Thomas Horsch, Silvia Chiacchiera, Youness Bami, Georg J. Schmitz, Gabriele Mogni, Gerhard Goldbeck, Emanuele Ghedini
http://arxiv.org/abs/2001.04175v1
• [cs.CG]Evaluating the snappability of bar-joint frameworks
Georg Nawratil
http://arxiv.org/abs/2001.04430v1
• [cs.CL]AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search
Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
http://arxiv.org/abs/2001.04246v1
• [cs.CL]CLUENER2020: Fine-grained Name Entity Recognition for Chinese
Liang Xu, Qianqian Dong, Cong Yu, Yin Tian, Weitang Liu, Lu Li, Xuanwei Zhang
http://arxiv.org/abs/2001.04351v1
• [cs.CL]Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks
R. Thomas McCoy, Robert Frank, Tal Linzen
http://arxiv.org/abs/2001.03632v1
• [cs.CL]Joint Reasoning for Multi-Faceted Commonsense Knowledge
Yohan Chalier, Simon Razniewski, Gerhard Weikum
http://arxiv.org/abs/2001.04170v1
• [cs.CL]Learning Cross-Context Entity Representations from Text
Jeffrey Ling, Nicholas FitzGerald, Zifei Shan, Livio Baldini Soares, Thibault Févry, David Weiss, Tom Kwiatkowski
http://arxiv.org/abs/2001.03765v1
• [cs.CL]Mining customer product reviews for product development: A summarization process
Tianjun Hou, Bernard Yannou, Yann Leroy, Emilie Poirson
http://arxiv.org/abs/2001.04200v1
• [cs.CL]Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits
Han Guo, Ramakanth Pasunuru, Mohit Bansal
http://arxiv.org/abs/2001.04362v1
• [cs.CL]PatentTransformer-2: Controlling Patent Text Generation by Structural Metadata
Jieh-Sheng Lee, Jieh Hsiang
http://arxiv.org/abs/2001.03708v1
• [cs.CL]ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training
Yu Yan, Weizhen Qi, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei Zhang, Ming Zhou
http://arxiv.org/abs/2001.04063v1
• [cs.CL]Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study
Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang
http://arxiv.org/abs/2001.03844v1
• [cs.CL]Revisiting Challenges in Data-to-Text Generation with Fact Grounding
Hongmin Wang
http://arxiv.org/abs/2001.03830v1
• [cs.CL]Stochastic Natural Language Generation Using Dependency Information
Elham Seifossadat, Hossein Sameti
http://arxiv.org/abs/2001.03897v1
• [cs.CR]DeepQuarantine for Suspicious Mail
Nikita Benkovich, Roman Dedenok, Dmitry Golubev
http://arxiv.org/abs/2001.04168v1
• [cs.CR]Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer
Suyoung Lee, HyungSeok Han, Sang Kil Cha, Sooel Son
http://arxiv.org/abs/2001.04107v1
• [cs.CR]Wyner-Ziv reconciliation for key exchange based on Ring-LWE
Charbel Saliba, Laura Luzzi, Cong Ling
http://arxiv.org/abs/2001.04280v1
• [cs.CV]A Bayesian 3D Multi-view Multi-object Tracking Filter
Jonah Ong, Ba Tuong Vo, Ba Ngu Vo, Du Yong Kim, Sven Nordholm
http://arxiv.org/abs/2001.04118v1
• [cs.CV]A Comparative Study for Non-rigid Image Registration and Rigid Image Registration
Xiaoran Zhang, Hexiang Dong, Di Gao, Xiao Zhao
http://arxiv.org/abs/2001.03831v1
• [cs.CV]A Light Field Camera Calibration Method Using Sub-Aperture Related Bipartition Projection Model and 4D Corner Detection
Dongyang Jin, Saiping Zhang, Xiao Huo, Wei Zhang, Fuzheng Yang
http://arxiv.org/abs/2001.03734v1
• [cs.CV]A Novel Inspection System For Variable Data Printing Using Deep Learning
Oren Haik, Oded Perry, Eli Chen, Peter Klammer
http://arxiv.org/abs/2001.04325v1
• [cs.CV]AE-OT-GAN: Training GANs from data specific latent distribution
Dongsheng An, Yang Guo, Min Zhang, Xin Qi, Na Lei, Shing-Tung Yau, Xianfeng Gu
http://arxiv.org/abs/2001.03698v1
• [cs.CV]Attention Flow: End-to-End Joint Attention Estimation
Ömer Sümer, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci
http://arxiv.org/abs/2001.03960v1
• [cs.CV]Attribute-guided Feature Learning Network for Vehicle Re-identification
Huibing Wang, Jinjia Peng, Dongyan Chen, Guangqi Jiang, Tongtong Zhao, Xianping Fu
http://arxiv.org/abs/2001.03872v1
• [cs.CV]Bag of Tricks for Retail Product Image Classification
Muktabh Mayank Srivastava
http://arxiv.org/abs/2001.03992v1
• [cs.CV]Boosting Occluded Image Classification via Subspace Decomposition Based Estimation of Deep Features
Feng Cen, Guanghui Wang
http://arxiv.org/abs/2001.04066v1
• [cs.CV]Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems
Changhee Han, Leonardo Rundo, Kohei Murao, Takafumi Nemoto, Hideki Nakayama, Shin’ichi Satoh
http://arxiv.org/abs/2001.03923v1
• [cs.CV]Can Giraffes Become Birds? An Evaluation of Image-to-image Translation for Data Generation
Daniel V. Ruiz, Gabriel Salomon, Eduardo Todt
http://arxiv.org/abs/2001.03637v1
• [cs.CV]Classifying All Interacting Pairs in a Single Shot
Sanaa Chafik, Astrid Orcesi, Romaric Audigier, Bertrand Luvison
http://arxiv.org/abs/2001.04360v1
• [cs.CV]Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation
Xiaoqing Guo, Zhen Chen, Yixuan Yuan
http://arxiv.org/abs/2001.03893v1
• [cs.CV]Concurrently Extrapolating and Interpolating Networks for Continuous Model Generation
Lijun Zhao, Jinjing Zhang, Fan Zhang, Anhong Wang, Huihui Bai, Yao Zhao
http://arxiv.org/abs/2001.03847v1
• [cs.CV]Deep Learning for Person Re-identification: A Survey and Outlook
Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven C. H. Hoi
http://arxiv.org/abs/2001.04193v1
• [cs.CV]Deep Optimized Multiple Description Image Coding via Scalar Quantization Learning
Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao
http://arxiv.org/abs/2001.03851v1
• [cs.CV]Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey
Farhana Sultana, Abu Sufian, Paramartha Dutta
http://arxiv.org/abs/2001.04074v1
• [cs.CV]Few-shot Action Recognition via Improved Attention with Self-supervision
Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H. S. Torr, Piotr Koniusz
http://arxiv.org/abs/2001.03905v1
• [cs.CV]Fine-grained Image-to-Image Transformation towards Visual Recognition
Wei Xiong, Yutong He, Yixuan Zhang, Wenhan Luo, Lin Ma, Jiebo Luo
http://arxiv.org/abs/2001.03856v1
• [cs.CV]GridMask Data Augmentation
Pengguang Chen
http://arxiv.org/abs/2001.04086v1
• [cs.CV]Handwritten Character Recognition Using Unique Feature Extraction Technique
Sai Abhishikth Ayyadevara, P N V Sai Ram Teja, Bharath K P, Rajesh Kumar M
http://arxiv.org/abs/2001.04208v1
• [cs.CV]Head and Tail Localization of C. elegans
Mansi Ranjit Mane, Aniket Anand Deshmukh, Adam J. Iliff
http://arxiv.org/abs/2001.03981v1
• [cs.CV]Hierarchical Modeling of Multidimensional Data in Regularly Decomposed Spaces: Synthesis and Perspective
Olivier Guye
http://arxiv.org/abs/2001.04322v1
• [cs.CV]High-Fidelity Synthesis with Disentangled Representation
Wonkwang Lee, Donggyun Kim, Seunghoon Hong, Honglak Lee
http://arxiv.org/abs/2001.04296v1
• [cs.CV]Learning Topometric Semantic Maps from Occupancy Grids
Markus Hiller, Chen Qiu, Florian Particke, Christian Hofmann, Jörn Thielecke
http://arxiv.org/abs/2001.03676v1
• [cs.CV]MHSAN: Multi-Head Self-Attention Network for Visual Semantic Embedding
Geondo Park, Chihye Han, Wonjun Yoon, Daeshik Kim
http://arxiv.org/abs/2001.03712v1
• [cs.CV]Membership Inference Attacks Against Object Detection Models
Yeachan Park, Myungjoo Kang
http://arxiv.org/abs/2001.04011v1
• [cs.CV]Memorizing Comprehensively to Learn Adaptively: Unsupervised Cross-Domain Person Re-ID with Multi-level Memory
Xinyu Zhang, Dong Gong, Jiewei Cao, Chunhua Shen
http://arxiv.org/abs/2001.04123v1
• [cs.CV]Modeling of Pruning Techniques for Deep Neural Networks Simplification
Morteza Mousa Pasandi, Mohsen Hajabdollahi, Nader Karimi, Shadrokh Samavi
http://arxiv.org/abs/2001.04062v1
• [cs.CV]Multi-source Domain Adaptation for Visual Sentiment Classification
Chuang Lin, Sicheng Zhao, Lei Meng, Tat-Seng Chua
http://arxiv.org/abs/2001.03886v1
• [cs.CV]Natural Image Matting via Guided Contextual Attention
Yaoyi Li, Hongtao Lu
http://arxiv.org/abs/2001.04069v1
• [cs.CV]Network of Steel: Neural Font Style Transfer from Heavy Metal to Corporate Logos
Aram Ter-Sarkisov
http://arxiv.org/abs/2001.03659v1
• [cs.CV]Radial Based Analysis of GRNN in Non-Textured Image Inpainting
Karthik R, Anvita Dwivedi, Haripriya M, Bharath K P, Rajesh Kumar M
http://arxiv.org/abs/2001.04215v1
• [cs.CV]Rethinking Class Relations: Absolute-relative Few-shot Learning
Hongguang Zhang, Philip H. S. Torr, Hongdong Li, Songlei Jian, Piotr Koniusz
http://arxiv.org/abs/2001.03919v1
• [cs.CV]Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View
Harsh Mehta, Yoav Artzi, Jason Baldridge, Eugene Ie, Piotr Mirowski
http://arxiv.org/abs/2001.03671v1
• [cs.CV]RoutedFusion: Learning Real-time Depth Map Fusion
Silvan Weder, Johannes Schönberger, Marc Pollefeys, Martin R. Oswald
http://arxiv.org/abs/2001.04388v1
• [cs.CV]Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild
Canjie Luo, Qingxiang Lin, Yuliang Liu, Lianwen Jin, Chunhua Shen
http://arxiv.org/abs/2001.04189v1
• [cs.CV]Sparse Black-box Video Attack with Reinforcement Learning
Huanqian Yan, Xingxing Wei, Bo Li
http://arxiv.org/abs/2001.03754v1
• [cs.CV]Symmetric Skip Connection Wasserstein GAN for High-Resolution Facial Image Inpainting
Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Gee-Sern Hsu, Moi Hoon Yap
http://arxiv.org/abs/2001.03725v1
• [cs.CV]Towards Automated Swimming Analytics Using Deep Neural Networks
Timothy Woinoski, Alon Harell, Ivan V. Bajic
http://arxiv.org/abs/2001.04433v1
• [cs.CV]Towards Generalizable Surgical Activity Recognition Using Spatial Temporal Graph Convolutional Networks
Duygu Sarikaya, Pierre Jannin
http://arxiv.org/abs/2001.03728v1
• [cs.CV]Towards Interpretable and Robust Hand Detection via Pixel-wise Prediction
Dan Liu, Libo Zhang, Tiejian Luo, Lili Tao, Yanjun Wu
http://arxiv.org/abs/2001.04163v1
• [cs.CV]Understanding Graph Isomorphism Network for Brain MR Functional Connectivity Analysis
Byung-Hoon Kim, Jong Chul Ye
http://arxiv.org/abs/2001.03690v1
• [cs.CV]Unsupervised Any-to-Many Audiovisual Synthesis via Exemplar Autoencoders
Kangle Deng, Aayush Bansal, Deva Ramanan
http://arxiv.org/abs/2001.04463v1
• [cs.CV]Unsupervised Enhancement of Real-World Depth Images Using Tri-Cycle GAN
Alona Baruhov, Guy Gilboa
http://arxiv.org/abs/2001.03779v1
• [cs.CV]Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics
Ling-Yu Duan, Jiaying Liu, Wenhan Yang, Tiejun Huang, Wen Gao
http://arxiv.org/abs/2001.03569v2
• [cs.CY]Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society
Carina Prunkl, Jess Whittlestone
http://arxiv.org/abs/2001.04335v1
• [cs.CY]Evaluating Online Public Sentiments towards China: A Case Study of English and Chinese Twitter Discourse during the 2019 Chinese National Day
Yekai Xu, Zuofang Wan, Qingqian He, Shiguang Ni
http://arxiv.org/abs/2001.04034v1
• [cs.CY]Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification
Chris Dulhanty, Alexander Wong
http://arxiv.org/abs/2001.03071v2
• [cs.CY]Measuring Women Representation and Impact in Films over Time
Luoying Yang, Zhou Xu, Jiebo Luo
http://arxiv.org/abs/2001.03513v2
• [cs.CY]Securing Bring-Your-Own-Device (BYOD) Programming Exams
Oka Kurniawan, Norman Tiong Seng Lee, Christopher M. Poskitt
http://arxiv.org/abs/2001.03942v1
• [cs.CY]Theory In, Theory Out: How social theory can solve problems that machine learning can’t
Jason Radford, Kenneth Joseph
http://arxiv.org/abs/2001.03203v2
• [cs.DC]Competitive Broadcast against Adaptive Adversary in Multi-channel Radio Networks
Haimin Chen, Chaodong Zheng
http://arxiv.org/abs/2001.03936v1
• [cs.DC]Fast-Fourier-Forecasting Resource Utilisation in Distributed Systems
Paul j. Pritz, Daniel Perez, Kin K. Leung
http://arxiv.org/abs/2001.04281v1
• [cs.DC]Hierarchical Multi-Agent Optimization for Resource Allocation in Cloud Computing
Xiangqiang Gao, Rongke Liu, Aryan Kaushik
http://arxiv.org/abs/2001.03929v1
• [cs.DC]Notes on Theory of Distributed Systems
James Aspnes
http://arxiv.org/abs/2001.04235v1
• [cs.DC]Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach
Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu
http://arxiv.org/abs/2001.03836v1
• [cs.DC]Verifiable and Auditable Digital Interchange Framework
Prabal Banarjee, Dushyant Behl, Palanivel Kodeswaran, Chaitanya Kumar, Sushmita Ruj, Sayandeep Sen
http://arxiv.org/abs/2001.03717v1
• [cs.DM]Domination in Signed Petri Net
Payal, Sangita Kansal
http://arxiv.org/abs/2001.04374v1
• [cs.GT]Games Where You Can Play Optimally with Finite Memory
Patricia Bouyer, Stéphane Le Roux, Youssouf Oualhadj, Mickael Randour, Pierre Vandenhove
http://arxiv.org/abs/2001.03894v1
• [cs.GT]Permissioned Blockchain Revisited: A Byzantine Game-Theoretical Perspective
Dongfang Zhao
http://arxiv.org/abs/2001.03822v1
• [cs.GT]Resource Sharing in the Edge: A Distributed Bargaining-Theoretic Approach
Faheem Zafari, Prithwish Basu, Kin K. Leung, Jian Li, Ananthram Swami, Don Towsley
http://arxiv.org/abs/2001.04229v1
• [cs.HC]Recognition and Localisation of Pointing Gestures using a RGB-D Camera
Naina Dhingra, Eugenio Valli, Andreas Kunz
http://arxiv.org/abs/2001.03687v1
• [cs.IR]Negative Statements Considered Useful
Hiba Arnaout, Simon Razniewski, Gerhard Weikum
http://arxiv.org/abs/2001.04425v1
• [cs.IR]Parameter-Efficient Transfer from Sequential Behaviors for User Profiling and Recommendation
Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang
http://arxiv.org/abs/2001.04253v1
• [cs.IR]Représentations lexicales pour la détection non supervisée d’événements dans un flux de tweets : étude sur des corpus français et anglais
Béatrice Mazoyer, Nicolas Hervé, Céline Hudelot, Julia Cage
http://arxiv.org/abs/2001.04139v1
• [cs.IT]An Achievable Region for the Multiple Access Wiretap Channels with Confidential and Open Messages
Hao Xu, Giuseppe Caire, Cunhua Pan
http://arxiv.org/abs/2001.03722v1
• [cs.IT]Approximation smooth and sparse functions by deep neural networks without saturation
Xia Liu
http://arxiv.org/abs/2001.04114v1
• [cs.IT]Average Age of Information for a Multi-Source M/M/1 Queueing Model With Packet Management
Mohammad Moltafet, Markus Leinonen, Marian Codreanu
http://arxiv.org/abs/2001.03959v1
• [cs.IT]Capacity Bounds for Communication Systems with Quantization and Spectral Constraints
Sourjya Dutta, Abbas Khalili, Elza Erkip, Sundeep Rangan
http://arxiv.org/abs/2001.03870v1
• [cs.IT]Capacity and Optimal Resource Allocation for IRS-assisted Multi-user Communication Systems
Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin, Naofal Al-Dhahir
http://arxiv.org/abs/2001.03913v1
• [cs.IT]Coded Distributed Computing Schemes with Smaller Numbers of Input Files and Output Functions
Jing Jiang, Lingxiao Qu
http://arxiv.org/abs/2001.04194v1
• [cs.IT]Communications-Caching-Computing Tradeoff Analysis for Bidirectional Data Computation in Mobile Edge Networks
Yaping Sun, Lyutianyang Zhang, Zhiyong Chen, Sumit Roy
http://arxiv.org/abs/2001.03946v1
• [cs.IT]Computable Lower Bounds for Capacities of Input-Driven Finite-State Channels
V. Arvind Rameshwar, Navin Kashyap
http://arxiv.org/abs/2001.03423v2
• [cs.IT]Decentralized sequential active hypothesis testing and the MAC feedback capacity
Achilleas Anastasopoulos, Sandeep Pradhan
http://arxiv.org/abs/2001.03807v1
• [cs.IT]Distributed Secure Storage: Rate-Privacy Trade-Off and XOR-Based Coding Scheme
Remi A. Chou, Joerg Kliewer
http://arxiv.org/abs/2001.04241v1
• [cs.IT]DoF Region of the Decentralized MIMO Broadcast Channel$\unicode{x2014}$How many informed antennas do we need?
Antonio Bazco-Nogueras, Arash Davoodi, Paul de Kerret, David Gesbert, Nicolas Gresset, Syed Jafar
http://arxiv.org/abs/2001.04358v1
• [cs.IT]Efficient decoding of polar codes with some 16$\times$16 kernels
Grigorii Trofimiuk, Peter Trifonov
http://arxiv.org/abs/2001.03921v1
• [cs.IT]Error Exponents of Mismatched Likelihood Ratio Testing
Parham Boroumand, Albert Guillen i Fabregas
http://arxiv.org/abs/2001.03917v1
• [cs.IT]Feedback Channel Communication with Low Precision Arithmetic
Yonatan Urman, David Burshtein
http://arxiv.org/abs/2001.03931v1
• [cs.IT]Finite-Level Quantization Procedures for Construction and Decoding of Polar Codes
Yunus Inan, Emre Telatar
http://arxiv.org/abs/2001.04009v1
• [cs.IT]Finite-Sample Analysis of Image Registration
Ravi Kiran Raman, Lav R. Varshney
http://arxiv.org/abs/2001.03869v1
• [cs.IT]Functional Error Correction for Robust Neural Networks
Kunping Huang, Paul Siegel, Anxiao, Jiang
http://arxiv.org/abs/2001.03814v1
• [cs.IT]Game of Ages
Kumar Saurav, Rahul Vaze
http://arxiv.org/abs/2001.04427v1
• [cs.IT]Gaussian Multiple and Random Access in the Finite Blocklength Regime
Recep Can Yavas, Victoria Kostina, Michelle Effros
http://arxiv.org/abs/2001.03867v1
• [cs.IT]Heterogeneous Computation Assignments in Coded Elastic Computing
Nicholas Woolsey, Rong-Rong Chen, Mingyue Ji
http://arxiv.org/abs/2001.04005v1
• [cs.IT]Information transmission bounds between moving terminals
Omar James Faqir, Eric C. Kerrigan, Deniz Gündüz
http://arxiv.org/abs/2001.04258v1
• [cs.IT]List Decoding of Universal Polar Codes
Boaz Shuval, Ido Tal
http://arxiv.org/abs/2001.03784v1
• [cs.IT]Locally Decodable Codes with Randomized Encoding
Kuan Cheng, Xin Li, Yu Zheng
http://arxiv.org/abs/2001.03692v1
• [cs.IT]Minimizing Age of Information via Hybrid NOMA/OMA
Qian Wang, He Chen, Yonghui Li, Branka Vucetic
http://arxiv.org/abs/2001.04042v1
• [cs.IT]NOMA Enhanced Terrestrial and Aerial IoT Networks with Partial CSI
Tianwei Hou, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen
http://arxiv.org/abs/2001.03757v1
• [cs.IT]On Approximate Message Passing for Unsourced Access with Coded Compressed Sensing
Vamsi K. Amalladinne, Asit Kumar Pradhan, Cynthia Rush, Jean-Francois Chamberland, Krishna R. Narayanan
http://arxiv.org/abs/2001.03705v1
• [cs.IT]On the Compressibility of Affinely Singular Random Vectors
Mohammad-Amin Charusaie, Stefano Rini, Arash Amini
http://arxiv.org/abs/2001.03884v1
• [cs.IT]On the Gap between Scalar and Vector Solutions of Generalized Combination Networks
Hedongliang Liu, Hengjia Wei, Sven Puchinger, Antonia Wachter-Zeh, Moshe Schwartz
http://arxiv.org/abs/2001.04150v1
• [cs.IT]On the Jacobi sums over Galois rings
Dengming Xu
http://arxiv.org/abs/2001.04028v1
• [cs.IT]One shot approach to lossy source coding under average distortion constraints
Nir Elkayam, Meir Feder
http://arxiv.org/abs/2001.03983v1
• [cs.IT]Optimizing the Write Fidelity of MRAMs
Yongjune Kim, Yoocharn Jeon, Cyril Guyot, Yuval Cassuto
http://arxiv.org/abs/2001.03803v1
• [cs.IT]Partially symmetric monomial codes
Kirill Ivanov, Rüdiger Urbanke
http://arxiv.org/abs/2001.03790v1
• [cs.IT]Private Information Retrieval Over Gaussian MAC
Ori Shmuel, Asaf Cohen, Omer Gurewitz
http://arxiv.org/abs/2001.03753v1
• [cs.IT]Secure Decentralized Pliable Index Coding
Tang Liu, Daniela Tuninetti
http://arxiv.org/abs/2001.03810v1
• [cs.IT]The Capacity of Private Information Retrieval Under Arbitrary Collusion Patterns
Xinyu Yao, Nan Liu, Wei Kang
http://arxiv.org/abs/2001.03843v1
• [cs.IT]Unsourced Multiuser Sparse Regression Codes achieve the Symmetric MAC Capacity
Alexander Fengler, Peter Jung, Giuseppe Caire
http://arxiv.org/abs/2001.04217v1
• [cs.IT]Upper Bound Scalability on Achievable Rates of Batched Codes for Line Networks
Shenghao Yang, Jie Wang
http://arxiv.org/abs/2001.04055v1
• [cs.LG]Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers
Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang
http://arxiv.org/abs/2001.03955v1
• [cs.LG]An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs
Joseph D. Janizek, Gabriel Erion, Alex J. DeGrave, Su-In Lee
http://arxiv.org/abs/2001.04051v1
• [cs.LG]Backward Feature Correction: How Deep Learning Performs Deep Learning
Zeyuan Allen-Zhu, Yuanzhi Li
http://arxiv.org/abs/2001.04413v1
• [cs.LG]Confidence Scores Make Instance-dependent Label-noise Learning Possible
Antonin Berthon, Bo Han, Gang Niu, Tongliang Liu, Masashi Sugiyama
http://arxiv.org/abs/2001.03772v1
• [cs.LG]Deep Image Translation with an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection
Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Sebastiano Bruno Serpico, Robert Jenssen, Stian Normann Anfinsen
http://arxiv.org/abs/2001.04271v1
• [cs.LG]Deep Reinforcement Learning for Complex Manipulation Tasks with Sparse Feedback
Binyamin Manela
http://arxiv.org/abs/2001.03877v1
• [cs.LG]Explaining the Explainer: A First Theoretical Analysis of LIME
Damien Garreau, Ulrike von Luxburg
http://arxiv.org/abs/2001.03447v2
• [cs.LG]Fast is better than free: Revisiting adversarial training
Eric Wong, Leslie Rice, J. Zico Kolter
http://arxiv.org/abs/2001.03994v1
• [cs.LG]Fundamental Limits of Online Learning: An Entropic-Innovations Viewpoint
Song Fang, Quanyan Zhu
http://arxiv.org/abs/2001.03813v1
• [cs.LG]Hyperparameters optimization for Deep Learning based emotion prediction for Human Robot Interaction
Shruti Jaiswal, Gora Chand Nandi
http://arxiv.org/abs/2001.03855v1
• [cs.LG]Incremental Unsupervised Domain-Adversarial Training of Neural Networks
Antonio-Javier Gallego, Jorge Calvo-Zaragoza, Robert B. Fisher
http://arxiv.org/abs/2001.04129v1
• [cs.LG]Intelligence, physics and information — the tradeoff between accuracy and simplicity in machine learning
Tailin Wu
http://arxiv.org/abs/2001.03780v1
• [cs.LG]LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction
Vlad Niculae, André F. T. Martins
http://arxiv.org/abs/2001.04437v1
• [cs.LG]Learning ergodic averages in chaotic systems
Francisco Huhn, Luca Magri
http://arxiv.org/abs/2001.04027v1
• [cs.LG]Numerical Sequence Prediction using Bayesian Concept Learning
Mohith Damarapati, Inavamsi B. Enaganti, Alfred Ajay Aureate Rajakumar
http://arxiv.org/abs/2001.04072v1
• [cs.LG]On implicit regularization: Morse functions and applications to matrix factorization
Mohamed Ali Belabbas
http://arxiv.org/abs/2001.04264v1
• [cs.LG]Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants
Shahab Shamshirband, Meisam Babanezhad, Amir Mosavi, Narjes Nabipour, Eva Hajnal, Laszlo Nadai, Kwok-Wing Chau
http://arxiv.org/abs/2001.04276v1
• [cs.LG]RCD: Repetitive causal discovery of linear non-Gaussian acyclic models with latent confounders
Takashi Nicholas Maeda, Shohei Shimizu
http://arxiv.org/abs/2001.04197v1
• [cs.LG]Reformer: The Efficient Transformer
Nikita Kitaev, Łukasz Kaiser, Anselm Levskaya
http://arxiv.org/abs/2001.04451v1
• [cs.LG]Relational State-Space Model for Stochastic Multi-Object Systems
Fan Yang, Ling Chen, Fan Zhou, Yusong Gao, Wei Cao
http://arxiv.org/abs/2001.04050v1
• [cs.LG]ReluDiff: Differential Verification of Deep Neural Networks
Brandon Paulsen, Jingbo Wang, Chao Wang
http://arxiv.org/abs/2001.03662v1
• [cs.LG]Residual Attention Net for Superior Cross-Domain Time Sequence Modeling
Seth H. Huang, Xu Lingjie, Jiang Congwei
http://arxiv.org/abs/2001.04077v1
• [cs.LG]Semi-supervised learning method based on predefined evenly-distributed class centroids
Qiuyu Zhu, Tiantian Li
http://arxiv.org/abs/2001.04092v1
• [cs.LG]Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning
Yao Zhang, Daniel Jarrett, Mihaela van der Schaar
http://arxiv.org/abs/2001.03898v1
• [cs.LG]Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems
Luo Luo, Haishan Ye, Tong Zhang
http://arxiv.org/abs/2001.03724v1
• [cs.LG]Symplectic networks: Intrinsic structure-preserving networks for identifying Hamiltonian systems
Pengzhan Jin, Aiqing Zhu, George Em Karniadakis, Yifa Tang
http://arxiv.org/abs/2001.03750v1
• [cs.LG]Tangent-Space Gradient Optimization of Tensor Network for Machine Learning
Zheng-zhi Sun, Shi-ju Ran, Gang Su
http://arxiv.org/abs/2001.04029v1
• [cs.LG]Towards GAN Benchmarks Which Require Generalization
Ishaan Gulrajani, Colin Raffel, Luke Metz
http://arxiv.org/abs/2001.03653v1
• [cs.LG]Towards High Performance Java-based Deep Learning Frameworks
Athanasios Stratikopoulos, Juan Fumero, Zoran Sevarac, Christos Kotselidis
http://arxiv.org/abs/2001.04206v1
• [cs.LG]Unbiased and Efficient Log-Likelihood Estimation with Inverse Binomial Sampling
Bas van Opheusden, Luigi Acerbi, Wei Ji Ma
http://arxiv.org/abs/2001.03985v1
• [cs.LG]Universal Differential Equations for Scientific Machine Learning
Christopher Rackauckas, Yingbo Ma, Julius Martensen, Collin Warner, Kirill Zubov, Rohit Supekar, Dominic Skinner, Ali Ramadhan
http://arxiv.org/abs/2001.04385v1
• [cs.LG]WICA: nonlinear weighted ICA
Andrzej Bedychaj, Przemysław Spurek, Aleksandra Nowak, Jacek Tabor
http://arxiv.org/abs/2001.04147v1
• [cs.NI]Collaborative Multi-Agent Multi-Armed Bandit Learning for Small-Cell Caching
Xianzhe Xu, Meixia Tao, Cong Shen
http://arxiv.org/abs/2001.03835v1
• [cs.PF]Optimal Scheduling for Maximizing Information Freshness & System Performance in Industrial Cyber-Physical Systems
Devarpita Sinha, Rajarshi Roy
http://arxiv.org/abs/2001.04218v1
• [cs.PF]The Two-Pass Softmax Algorithm
Marat Dukhan, Artsiom Ablavatski
http://arxiv.org/abs/2001.04438v1
• [cs.RO]Are you still with me? Continuous Engagement Assessment from a Robot’s Point of View
Francesco Del Duchetto, Paul Baxter, Marc Hanheide
http://arxiv.org/abs/2001.03515v2
• [cs.RO]Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference
Changhao Chen, Peijun Zhao, Chris Xiaoxuan Lu, Wei Wang, Andrew Markham, Niki Trigoni
http://arxiv.org/abs/2001.04061v1
• [cs.RO]LESS is More: Rethinking Probabilistic Models of Human Behavior
Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac, S. Shankar Sastry, Anca D. Dragan
http://arxiv.org/abs/2001.04465v1
• [cs.RO]Learning to Locomote with Deep Neural-Network and CPG-based Control in a Soft Snake Robot
Xuan Liu, Renato Gasoto, Cagdas Onal, Jie Fu
http://arxiv.org/abs/2001.04059v1
• [cs.RO]Learning to drive via Apprenticeship Learning and Deep Reinforcement Learning
Wenhui Huang, Francesco Braghin, Zhuo Wang
http://arxiv.org/abs/2001.03864v1
• [cs.RO]NimbRo Logistics — Project KittingBot
Rosche Robin, Minh Triet Chau
http://arxiv.org/abs/2001.04134v1
• [cs.RO]When Humans Aren’t Optimal: Robots that Collaborate with Risk-Aware Humans
Minae Kwon, Erdem Biyik, Aditi Talati, Karan Bhasin, Dylan P. Losey, Dorsa Sadigh
http://arxiv.org/abs/2001.04377v1
• [cs.SD]CURE Dataset: Ladder Networks for Audio Event Classification
Harishchandra Dubey, Dimitra Emmanouilidou, Ivan J. Tashev
http://arxiv.org/abs/2001.03896v1
• [cs.SI]A Game Generative Network Framework with its Application to Relationship Inference
Jie Huang, Fanghua Ye, Xu Chen
http://arxiv.org/abs/2001.03758v1
• [cs.SI]LibreSocial: A Peer-to-Peer Framework for Online Social Networks
Kalman Graffi, Newton Masinde
http://arxiv.org/abs/2001.02962v2
• [eess.AS]Improving Dysarthric Speech Intelligibility Using Cycle-consistent Adversarial Training
Seung Hee Yang, Minhwa Chung
http://arxiv.org/abs/2001.04260v1
• [eess.AS]Visually Guided Self Supervised Learning of Speech Representations
Abhinav Shukla, Konstantinos Vougioukas, Pingchuan Ma, Stavros Petridis, Maja Pantic
http://arxiv.org/abs/2001.04316v1
• [eess.IV]Adversarial Loss for Semantic Segmentation of Aerial Imagery
Clint Sebastian, Raffaele Imbriaco, Egor Bondarev, Peter H. N. de With
http://arxiv.org/abs/2001.04269v1
• [eess.IV]AttentionAnatomy: A unified framework for whole-body organs at risk segmentation using multiple partially annotated datasets
Shanlin Sun, Yang Liu, Narisu Bai, Hao Tang, Xuming Chen, Qian Huang, Yong Liu, Xiaohui Xie
http://arxiv.org/abs/2001.04446v1
• [eess.IV]DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior
Bo Zhou, S. Kevin Zhou
http://arxiv.org/abs/2001.03799v1
• [eess.IV]Dynamic Coronary Roadmapping via Catheter Tip Tracking in X-ray Fluoroscopy with Deep Learning Based Bayesian Filtering
Hua Ma, Ihor Smal, Joost Daemen, Theo van Walsum
http://arxiv.org/abs/2001.03801v1
• [eess.IV]Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention
Xuhua Ren, Jiayu Huo, Kai Xuan, Dongming Wei, Lichi Zhang, Qian Wang
http://arxiv.org/abs/2001.03857v1
• [eess.SP]Channel Assignment in Uplink Wireless Communication using Machine Learning Approach
Guangyu Jia, Zhaohui Yang, Hak-Keung Lam, Jianfeng Shi, Mohammad Shikh-Bahaei
http://arxiv.org/abs/2001.03952v1
• [eess.SY]Self-Driving like a Human driver instead of a Robocar: Personalized comfortable driving experience for autonomous vehicles
I. Bae, J. Moon, J. Jhung, H. Suk, T. Kim, H. Park, J. Cha, J. Kim, D. Kim, Shiho Kim
http://arxiv.org/abs/2001.03908v1
• [math.MG]Majorization and minimal energy on spheres
Oleg R. Musin
http://arxiv.org/abs/2001.04067v1
• [math.NA]A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs
Stefania Fresca, Luca Dede, Andrea Manzoni
http://arxiv.org/abs/2001.04001v1
• [math.NA]Accelerating Block Coordinate Descent for Nonnegative Tensor Factorization
Andersen Man Shun Ang, Jeremy E. Cohen, Nicolas Gillis, Le Thi Khanh Hien
http://arxiv.org/abs/2001.04321v1
• [math.OC]Dominance Move calculation using a MIP approach for comparison of multi and many-objective optimization solution sets
Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner
http://arxiv.org/abs/2001.03657v1
• [math.OC]Information Newton’s flow: second-order optimization method in probability space
Yifei Wang, Wuchen Li
http://arxiv.org/abs/2001.04341v1
• [math.OC]On the synthesis of control policies from noisy example datasets: a probabilistic approach
Davide Gagliardi, Giovanni Russo
http://arxiv.org/abs/2001.04428v1
• [math.ST]Convergence of Chao Unseen Species Estimator
Nived Rajaraman, Prafulla Chandra, Andrew Thangaraj, Ananda Theertha Suresh
http://arxiv.org/abs/2001.04130v1
• [math.ST]Prediction with eventual almost sure guarantees
Changlong Wu, Narayana Santhanam
http://arxiv.org/abs/2001.03710v1
• [math.ST]Trees, forests, and impurity-based variable importance
Erwan Scornet
http://arxiv.org/abs/2001.04295v1
• [quant-ph]Capacity of Quantum Private Information Retrieval with Colluding Servers
Seunghoan Song, Masahito Hayashi
http://arxiv.org/abs/2001.04436v1
• [quant-ph]Derivaton of QUBO formulations for sparse estimation
Tomohiro Yokota, Makiko Konoshima, Hirotaka Tamura, Jun Ohkubo
http://arxiv.org/abs/2001.03715v1
• [quant-ph]Infinite-fold enhancement in communications capacity using pre-shared entanglement
Saikat Guha, Quntao Zhuang, Boulat Bash
http://arxiv.org/abs/2001.03934v1
• [quant-ph]Linear programming bounds for quantum amplitude damping codes
Yingkai Ouyang, Ching-Yi Lai
http://arxiv.org/abs/2001.03976v1
• [stat.AP]Breaking hypothesis testing for failure rates
Rohit Pandey, Yingnong Dang, Gil Lapid Shafriri, Murali Chintalapati, Aerin Kim
http://arxiv.org/abs/2001.04045v1
• [stat.AP]Causal Mediation Analysis with Multiple Treatments and Latent Confounders
Wei Li, Chunchen Liu, Zhi Geng, John Murray
http://arxiv.org/abs/2001.04040v1
• [stat.AP]Estimating the Competitive Storage Model with Stochastic Trends in Commodity Prices
Kjartan Kloster Osmundsen, Tore Selland Kleppe, Roman Liesenfeld, Atle Oglend
http://arxiv.org/abs/2001.03984v1
• [stat.AP]Prediction and Evaluation in College Hockey using the Bradley-Terry-Zermelo Model
John T. Whelan, Adam Wodon
http://arxiv.org/abs/2001.04226v1
• [stat.AP]Towards causality-aware predictions in static machine learning tasks: the linear structural causal model case
Elias Chaibub Neto
http://arxiv.org/abs/2001.03998v1
• [stat.CO]Considering discrepancy when calibrating a mechanistic electrophysiology model
Chon Lok Lei, Sanmitra Ghosh, Dominic G. Whittaker, Yasser Aboelkassem, Kylie A. Beattie, Chris D. Cantwell, Tammo Delhaas, Charles Houston, Gustavo Montes Novaes, Alexander V. Panfilov, Pras Pathmanathan, Marina Riabiz, Rodrigo Weber dos Santos, Keith Worden, Gary R. Mirams, Richard D. Wilkinson
http://arxiv.org/abs/2001.04230v1
• [stat.ME]A likelihood analysis of quantile-matching transformations
Peter McCullagh, Micol Federica Tresoldi
http://arxiv.org/abs/2001.03709v1
• [stat.ME]Causal Inferences in Small Area Estimation
Setareh Ranjbar, Nicola Salvati, Barbara Pacini
http://arxiv.org/abs/2001.03719v1
• [stat.ME]Empirical bias-reducing adjustments to estimating functions
Ioannis Kosmidis, Nicola Lunardon
http://arxiv.org/abs/2001.03786v1
• [stat.ME]Forecasting multiple functional time series in a group structure: an application to mortality
Han Lin Shang, Steven Haberman
http://arxiv.org/abs/2001.03658v1
• [stat.ME]Generalized Linear Models for Longitudinal Data with Biased Sampling Designs: A Sequential Offsetted Regressions Approach
Lee S. McDaniel, Jonathan S. Schildcrout, Enrique F. Schisterman, Paul J. Rathouz
http://arxiv.org/abs/2001.04444v1
• [stat.ME]Notes on Exact Power Calculations for t Tests and Analysis of Covariance
Yongqiang Tang
http://arxiv.org/abs/2001.04013v1
• [stat.ME]Panel Data Quantile Regression for Treatment Effect Models
Takuya Ishihara
http://arxiv.org/abs/2001.04324v1
• [stat.ME]Reproducible Bootstrap Aggregating
Meimei Liu, David B. Dunson
http://arxiv.org/abs/2001.03988v1
• [stat.ME]Review of Probability Distributions for Modeling Count Data
F. William Townes
http://arxiv.org/abs/2001.04343v1
• [stat.ME]Robust Two-Step Wavelet-Based Inference for Time Series Models
Stéphane Guerrier, Roberto Molinari, Maria-Pia Victoria-Feser, Haotian Xu
http://arxiv.org/abs/2001.04214v1
• [stat.ML]Bayesian Semi-supervised learning under nonparanormality
Rui Zhu, Subhashis Ghosal
http://arxiv.org/abs/2001.03798v1
• [stat.ML]Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models
Yuzhou Cao, Yitian Xu
http://arxiv.org/abs/2001.04243v1
• [stat.ML]On Feature Interactions Identified by Shapley Values of Binary Classification Games
Sandhya Tripathi, N. Hemachandra, Prashant Trivedi
http://arxiv.org/abs/2001.03956v1
• [stat.ML]POPCORN: Partially Observed Prediction COnstrained ReiNforcement Learning
Joseph Futoma, Michael C. Hughes, Finale Doshi-Velez
http://arxiv.org/abs/2001.04032v1