cond-mat.str-el - 强关联电子系统
cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.ET - 新兴技术 cs.GR - 计算机图形学 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.RO - 机器人学 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.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 nucl-th - 核理论 physics.soc-ph - 物理学与社会 q-bio.MN - 分子网络 q-bio.QM - 定量方法 q-fin.MF - 数学金融 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.str-el]Revealing the Phase Diagram of Kitaev Materials by Machine Learning: Cooperation and Competition between Spin Liquids
• [cs.AI]AIBench: An Industry Standard AI Benchmark Suite from Internet Services
• [cs.AI]An empirical study of computing with words approaches for multi-person and single-person systems
• [cs.AI]Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in Hanabi
• [cs.AI]Knowledge Graph Embeddings and Explainable AI
• [cs.AI]Parallel processor scheduling: formulation as multi-objective linguistic optimization and solution using Perceptual Reasoning based methodology
• [cs.AI]Perceptual reasoning based solution methodology for linguistic optimization problems
• [cs.CL]”The Boating Store Had Its Best Sail Ever”: Pronunciation-attentive Contextualized Pun Recognition
• [cs.CL]A Benchmark Dataset of Check-worthy Factual Claims
• [cs.CL]A Call for More Rigor in Unsupervised Cross-lingual Learning
• [cs.CL]A Focused Study to Compare Arabic Pre-training Models on Newswire IE Tasks
• [cs.CL]A Large-Scale Semi-Supervised Dataset for Offensive Language Identification
• [cs.CL]A Matter of Framing: The Impact of Linguistic Formalism on Probing Results
• [cs.CL]A Span-based Linearization for Constituent Trees
• [cs.CL]A Supervised Word Alignment Method based on Cross-Language Span Prediction using Multilingual BERT
• [cs.CL]AMPERSAND: Argument Mining for PERSuAsive oNline Discussions
• [cs.CL]Accurate Word Alignment Induction from Neural Machine Translation
• [cs.CL]Addressing Zero-Resource Domains Using Document-Level Context in Neural Machine Translation
• [cs.CL]Analyzing the Surprising Variability in Word Embedding Stability Across Languages
• [cs.CL]Asking without Telling: Exploring Latent Ontologies in Contextual Representations
• [cs.CL]Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing
• [cs.CL]Bilingual Text Extraction as Reading Comprehension
• [cs.CL]Boosting Naturalness of Language in Task-oriented Dialogues via Adversarial Training
• [cs.CL]Bridging linguistic typology and multilingual machine translation with multi-view language representations
• [cs.CL]Can Your Context-Aware MT System Pass the DiP Benchmark Tests? : Evaluation Benchmarks for Discourse Phenomena in Machine Translation
• [cs.CL]Capsule-Transformer for Neural Machine Translation
• [cs.CL]Character-Level Translation with Self-attention
• [cs.CL]CohEval: Benchmarking Coherence Models
• [cs.CL]Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation
• [cs.CL]Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation
• [cs.CL]Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO
• [cs.CL]Distantly-Supervised Neural Relation Extraction with Side Information using BERT
• [cs.CL]Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?
• [cs.CL]End-to-End Neural Word Alignment Outperforms GIZA++
• [cs.CL]Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection
• [cs.CL]EnsembleGAN: Adversarial Learning for Retrieval-Generation Ensemble Model on Short-Text Conversation
• [cs.CL]Explicit Representation of the Translation Space: Automatic Paraphrasing for Machine Translation Evaluation
• [cs.CL]Exploiting Sentence Order in Document Alignment
• [cs.CL]Exploring Contextualized Neural Language Models for Temporal Dependency Parsing
• [cs.CL]Fact or Fiction: Verifying Scientific Claims
• [cs.CL]Few-Shot Natural Language Generation by Rewriting Templates
• [cs.CL]Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots
• [cs.CL]Hierarchical Encoders for Modeling and Interpreting Screenplays
• [cs.CL]How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking
• [cs.CL]Imitation Attacks and Defenses for Black-box Machine Translation Systems
• [cs.CL]Improved Natural Language Generation via Loss Truncation
• [cs.CL]Indirect Identification of Psychosocial Risks from Natural Language
• [cs.CL]Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition
• [cs.CL]Investigating Transferability in Pretrained Language Models
• [cs.CL]Knowledge Graph Empowered Entity Description Generation
• [cs.CL]Language Model Prior for Low-Resource Neural Machine Translation
• [cs.CL]Lexical Semantic Recognition
• [cs.CL]Logic2Text: High-Fidelity Natural Language Generation from Logical Forms
• [cs.CL]Look at the First Sentence: Position Bias in Question Answering
• [cs.CL]MLSUM: The Multilingual Summarization Corpus
• [cs.CL]Mind Your Inflections! Improving NLP for Non-Standard English with Base-Inflection Encoding
• [cs.CL]Modelling Suspense in Short Stories as Uncertainty Reduction over Neural Representation
• [cs.CL]Modular Representation Underlies Systematic Generalization in Neural Natural Language Inference Models
• [cs.CL]Multi-Domain Spoken Language Understanding Using Domain- and Task-Aware Parameterization
• [cs.CL]Mutlitask Learning for Cross-Lingual Transfer of Semantic Dependencies
• [cs.CL]NUBIA: NeUral Based Interchangeability Assessor for Text Generation
• [cs.CL]Named Entity Recognition without Labelled Data: A Weak Supervision Approach
• [cs.CL]Natural Language Premise Selection: Finding Supporting Statements for Mathematical Text
• [cs.CL]On the Evaluation of Contextual Embeddings for Zero-Shot Cross-Lingual Transfer Learning
• [cs.CL]Paraphrasing vs Coreferring: Two Sides of the Same Coin
• [cs.CL]Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT
• [cs.CL]PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking
• [cs.CL]Posterior Calibrated Training on Sentence Classification Tasks
• [cs.CL]Pragmatic Issue-Sensitive Image Captioning
• [cs.CL]Pretraining on Non-linguistic Structure as a Tool for Analyzing Learning Bias in Language Models
• [cs.CL]Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation
• [cs.CL]Recipes for building an open-domain chatbot
• [cs.CL]RikiNet: Reading Wikipedia Pages for Natural Question Answering
• [cs.CL]Robust Question Answering Through Sub-part Alignment
• [cs.CL]STARC: Structured Annotations for Reading Comprehension
• [cs.CL]SegaBERT: Pre-training of Segment-aware BERT for Language Understanding
• [cs.CL]Self-Supervised and Controlled Multi-Document Opinion Summarization
• [cs.CL]Semantic Triple Encoder for Fast Open-Set Link Prediction
• [cs.CL]Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders
• [cs.CL]Simulated Multiple Reference Training Improves Low-Resource Machine Translation
• [cs.CL]Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations
• [cs.CL]TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task
• [cs.CL]TLDR: Extreme Summarization of Scientific Documents
• [cs.CL]Text Segmentation by Cross Segment Attention
• [cs.CL]TextAT: Adversarial Training for Natural Language Understanding with Token-Level Perturbation
• [cs.CL]The role of context in neural pitch accent detection in English
• [cs.CL]Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!
• [cs.CL]ToTTo: A Controlled Table-To-Text Generation Dataset
• [cs.CL]Towards Unsupervised Language Understanding and Generation by Joint Dual Learning
• [cs.CL]Universal Dependencies according to BERT: both more specific and more general
• [cs.CL]Unsupervised Injection of Knowledge into Dialogue Generation via Language Models
• [cs.CL]Use of Machine Translation to Obtain Labeled Datasets for Resource-Constrained Languages
• [cs.CL]User-Guided Aspect Classification for Domain-Specific Texts
• [cs.CL]Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation
• [cs.CL]WT5?! Training Text-to-Text Models to Explain their Predictions
• [cs.CL]What Happens To BERT Embeddings During Fine-tuning?
• [cs.CL]When does data augmentation help generalization in NLP?
• [cs.CL]WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context
• [cs.CL]Word Rotator’s Distance: Decomposing Vectors Gives Better Representations
• [cs.CL]You are right. I am ALARMED — But by Climate Change Counter Movement
• [cs.CL]memeBot: Towards Automatic Image Meme Generation
• [cs.CR]A Cost-efficient IoT Forensics Framework with Blockchain
• [cs.CR]On Detecting Hidden Third-Party Web Trackers with a Wide Dependency Chain Graph: A Representation Learning Approach
• [cs.CR]Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability
• [cs.CV]A Multi-scale Optimization Learning Framework for Diffeomorphic Deformable Registration
• [cs.CV]A Novel Perspective to Zero-shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion
• [cs.CV]APB2Face: Audio-guided face reenactment with auxiliary pose and blink signals
• [cs.CV]Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation
• [cs.CV]Bilateral Attention Network for RGB-D Salient Object Detection
• [cs.CV]Consistent Video Depth Estimation
• [cs.CV]DIABLO: Dictionary-based Attention Block for Deep Metric Learning
• [cs.CV]Detecting Deep-Fake Videos from Appearance and Behavior
• [cs.CV]Dynamic Language Binding in Relational Visual Reasoning
• [cs.CV]Feedback U-net for Cell Image Segmentation
• [cs.CV]Improving Semantic Segmentation via Self-Training
• [cs.CV]Improving Vision-and-Language Navigation with Image-Text Pairs from the Web
• [cs.CV]Inability of spatial transformations of CNN feature maps to support invariant recognition
• [cs.CV]MobileDets: Searching for Object Detection Architectures for Mobile Accelerators
• [cs.CV]Pedestrian Path, Pose and Intention Prediction through Gaussian Process Dynamical Models and Pedestrian Activity Recognition
• [cs.CV]Polarization Human Shape and Pose Dataset
• [cs.CV]Polygonal Building Segmentation by Frame Field Learning
• [cs.CV]PreCNet: Next Frame Video Prediction Based on Predictive Coding
• [cs.CV]Progressive Transformers for End-to-End Sign Language Production
• [cs.CV]Rethinking Class-Discrimination Based CNN Channel Pruning
• [cs.CV]SS3D: Single Shot 3D Object Detector
• [cs.CV]Salient Object Detection Combining a Self-attention Module and a Feature Pyramid Network
• [cs.CV]SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation
• [cs.CV]Teaching Cameras to Feel: Estimating Tactile Physical Properties of Surfaces From Images
• [cs.CV]The 4th AI City Challenge
• [cs.CY]Balancing Personal Privacy and Public Safety in COVID-19: Case of Korea and France
• [cs.CY]Covid-19 and contact tracing apps: A review under the European legal framework
• [cs.CY]Observed mobility behavior data reveal social distancing inertia
• [cs.CY]Prevalence of Low-Credibility Information on Twitter During the COVID-19 Outbreak
• [cs.DB]RadixSpline: A Single-Pass Learned Index
• [cs.DC]6G White Paper on Edge Intelligence
• [cs.DC]A Survey on Time-Sensitive Resource Allocation in the Cloud Continuum
• [cs.DC]Cloud+: A safe and restrained data access control program for cloud
• [cs.DC]Computing server power modeling in a data center: survey,taxonomy and performance evaluation
• [cs.DC]Dynamic backup workers for parallel machine learning
• [cs.DC]From Byzantine Replication to Blockchain: Consensus is only the Beginning
• [cs.DC]Virtual Communication Stack: Towards Building Integrated Simulator of Mobile Ad Hoc Network-based Infrastructure for Disaster Response Scenarios
• [cs.DS]Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis
• [cs.DS]Sparse Hashing for Scalable Approximate Model Counting: Theory and Practice
• [cs.ET]Memristors — from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing
• [cs.GR]Interactive Video Stylization Using Few-Shot Patch-Based Training
• [cs.GT]Design and Implementation of Air Selection based Augmented Reality Serious Game for Learning Capability Analysis
• [cs.GT]PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection
• [cs.HC]CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
• [cs.HC]EXACT: A collaboration toolset for algorithm-aided annotation of almost everything
• [cs.IR]A Deep Recurrent Survival Model for Unbiased Ranking
• [cs.IR]A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering
• [cs.IR]Learning to Ask Screening Questions for Job Postings
• [cs.IR]Query-level Early Exit for Additive Learning-to-Rank Ensembles
• [cs.IR]Question Rewriting for Conversational Question Answering
• [cs.IR]Zero-shot Neural Retrieval via Domain-targeted Synthetic Query Generation
• [cs.IT]Broadcast Approach for the Information Bottleneck Channel
• [cs.IT]Compound Secure Groupcast: Key Assignment for Selected Broadcasting
• [cs.IT]Criss-Cross Deletion Correcting Codes
• [cs.IT]Flag Codes from Planar Spreads in Network Coding
• [cs.IT]Rényi Bounds on Information Combining
• [cs.IT]Secrecy Analysis of Ambient Backscatter NOMA Systems under I/Q Imbalance
• [cs.IT]Support Constrained Generator Matrices of Gabidulin Codes in Characteristic Zero
• [cs.LG]Binary autoencoder with random binary weights
• [cs.LG]Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
• [cs.LG]Counterfactual Off-Policy Training for Neural Response Generation
• [cs.LG]Distributional Soft Actor Critic for Risk Sensitive Learning
• [cs.LG]Explainable Deep Learning: A Field Guide for the Uninitiated
• [cs.LG]Few-Shot Learning for Abstractive Multi-Document Opinion Summarization
• [cs.LG]Learning from Sparse Datasets: Predicting Concrete’s Strength by Machine Learning
• [cs.LG]Learning nonlinear dynamical systems from a single trajectory
• [cs.LG]Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks
• [cs.LG]Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding
• [cs.LG]Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation
• [cs.LG]On Learning Combinatorial Patterns to Assist Large-Scale Airline Crew Pairing Optimization
• [cs.LG]Out-of-the-box channel pruned networks
• [cs.LG]Packet2Vec: Utilizing Word2Vec for Feature Extraction in Packet Data
• [cs.LG]Physarum Powered Differentiable Linear Programming Layers and Applications
• [cs.LG]Plan-Space State Embeddings for Improved Reinforcement Learning
• [cs.LG]Preventing Posterior Collapse with Levenshtein Variational Autoencoder
• [cs.LG]Pruning artificial neural networks: a way to find well-generalizing, high-entropy sharp minima
• [cs.LG]Reinforcement Learning with Augmented Data
• [cs.LG]Robustness Certification of Generative Models
• [cs.LG]TRP: Trained Rank Pruning for Efficient Deep Neural Networks
• [cs.LG]The Effect of Natural Distribution Shift on Question Answering Models
• [cs.LG]The Information Bottleneck Problem and Its Applications in Machine Learning
• [cs.LG]To Reduce Gross NPA and Classify Defaulters Using Shannon Entropy
• [cs.LG]Whittle index based Q-learning for restless bandits with average reward
• [cs.LO]Proceedings 16th International Conference on Quantum Physics and Logic
• [cs.MM]MuSe 2020 — The First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop
• [cs.NE]On the Baldwin Effect under Coevolution
• [cs.NI]Satellite Broadcasting Enabled Blockchain Protocol: A Preliminary Study
• [cs.PF]Communication-Aware Scheduling of Precedence-Constrained Tasks on Related Machines
• [cs.RO]Adaptive Robust Kernels for Non-Linear Least Squares Problems
• [cs.RO]How to reduce computation time while sparing performance during robot navigation? A neuro-inspired architecture for autonomous shifting between model-based and model-free learning
• [cs.RO]Sim-to-Real Transfer with Incremental Environment Complexity for Reinforcement Learning of Depth-Based Robot Navigation
• [cs.RO]Towards Embodied Scene Description
• [cs.SI]EER: Enterprise Expert Ranking using Employee Reputation
• [cs.SI]Exploiting Social Networks. Technological Trends (Habilitation Thesis)
• [cs.SI]Hierarchical clustering of bipartite data sets based on the statistical significance of coincidences
• [cs.SI]Multilayer network simplification: approaches, models and methods
• [cs.SI]The Natural Hazards Twitter Dataset
• [eess.AS]A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications
• [eess.AS]Multiresolution and Multimodal Speech Recognition with Transformers
• [eess.IV]Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential
• [eess.IV]UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture
• [eess.SP]Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation
• [eess.SP]Online unsupervised deep unfolding for massive MIMO channel estimation
• [eess.SP]Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework
• [eess.SY]Coordination and Communication of Autonomous Subsystems in Cyber Physical Systems: A Mechanism Learning Approach
• [eess.SY]Reduced-Dimensional Reinforcement Learning Control using Singular Perturbation Approximations
• [math.NA]Sparse Cholesky factorization by Kullback-Leibler minimization
• [math.OC]Hybrid Adaptive Evolutionary Algorithm for Multi-objective Optimization
• [math.OC]One-Step Estimation With Scaled Proximal Methods
• [math.PR]Analysis of Spherical Monofractal and Multifractal Random Fields with Cosmological Applications
• [math.ST]Consistency of Spectral Clustering on Hierarchical Stochastic Block Models
• [math.ST]Identifiability and Consistency of Bayesian Network Structure Learning from Incomplete Data
• [math.ST]On Deep Instrumental Variables Estimate
• [math.ST]Optimal doubly robust estimation of heterogeneous causal effects
• [math.ST]Parameter estimation for semilinear SPDEs from local measurements
• [math.ST]Wavelet-based estimation in a semiparametric regression model
• [nucl-th]Classification of Equation of State in Relativistic Heavy-Ion Collisions Using Deep Learning
• [physics.soc-ph]Changes in electricity demand pattern in Europe due to COVID-19 shutdowns
• [physics.soc-ph]Effectiveness of dismantling strategies on moderated vs. unmoderated online social platforms
• [physics.soc-ph]Putting the Air Transportation System to sleep: a passenger perspective measured by passenger-generated data
• [q-bio.MN]SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks
• [q-bio.QM]Prediction of Epilepsy Development in Traumatic Brain Injury Patients from Diffusion Weighted MRI
• [q-fin.MF]Hedging and machine learning driven crude oil data analysis using a refined Barndorff-Nielsen and Shephard model
• [quant-ph]Coreset Clustering on Small Quantum Computers
• [stat.AP]Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series
• [stat.AP]Impacts of California Proposition 47 on Crime in Santa Monica, CA
• [stat.AP]Methods for Population Adjustment with Limited Access to Individual Patient Data: A Simulation Study
• [stat.AP]On the normalized power prior
• [stat.AP]Spatiotemporal Dynamics, Nowcasting and Forecasting of COVID-19 in the United States
• [stat.AP]The unconscious priming fallacy: When can scientists truly claim an indirect task advantage?
• [stat.CO]Maximum likelihood estimation of the Fisher-Bingham distribution via efficient calculation of its normalizing constant
• [stat.ME]A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes
• [stat.ME]A primer on coupled state-switching models for multiple interacting time series
• [stat.ME]A robust variable screening procedure for ultra-high dimensional data
• [stat.ME]Generalized interpretation and identification of separable effects in competing event settings
• [stat.ME]Multiple imputation using chained random forests: a preliminary study based on the empirical distribution of out-of-bag prediction errors
• [stat.ME]Simulation studies on Python using sstudy package with SQL databases as storage
• [stat.ML]A Triangular Network For Density Estimation
• [stat.ML]Bias-corrected estimator for intrinsic dimension and differential entropy—a visual multiscale approach
• [stat.ML]Generalization Error for Linear Regression under Distributed Learning
• [stat.ML]Interpretable Random Forests via Rule Extraction
·····································
• [cond-mat.str-el]Revealing the Phase Diagram of Kitaev Materials by Machine Learning: Cooperation and Competition between Spin Liquids
Ke Liu, Nicolas Sadoune, Nihal Rao, Jonas Greitemann, Lode Pollet
http://arxiv.org/abs/2004.14415v1
• [cs.AI]AIBench: An Industry Standard AI Benchmark Suite from Internet Services
Fei Tang, Wanling Gao, Jianfeng Zhan, Chuanxin Lan, Xu Wen, Lei Wang, Chunjie Luo, Jiahui Dai, Zheng Cao, Xingwang Xiong, Zihan Jiang, Tianshu Hao, Fanda Fan, Fan Zhang, Yunyou Huang, Jianan Chen, Mengjia Du, Rui Ren, Chen Zheng, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Gang Lu, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye
http://arxiv.org/abs/2004.14690v1
• [cs.AI]An empirical study of computing with words approaches for multi-person and single-person systems
Prashant K Gupta, Pranab K. Muhuri
http://arxiv.org/abs/2004.14892v1
• [cs.AI]Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in Hanabi
Rodrigo Canaan, Xianbo Gao, Julian Togelius, Andy Nealen, Stefan Menzel
http://arxiv.org/abs/2004.13710v2
• [cs.AI]Knowledge Graph Embeddings and Explainable AI
Federico Bianchi, Gaetano Rossiello, Luca Costabello, Matteo Palmonari, Pasquale Minervini
http://arxiv.org/abs/2004.14843v1
• [cs.AI]Parallel processor scheduling: formulation as multi-objective linguistic optimization and solution using Perceptual Reasoning based methodology
Prashant K Gupta, Pranab K. Muhuri
http://arxiv.org/abs/2004.14955v1
• [cs.AI]Perceptual reasoning based solution methodology for linguistic optimization problems
Prashant K Gupta, Pranab K. Muhuri
http://arxiv.org/abs/2004.14933v1
• [cs.CL]“The Boating Store Had Its Best Sail Ever”: Pronunciation-attentive Contextualized Pun Recognition
Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang
http://arxiv.org/abs/2004.14457v1
• [cs.CL]A Benchmark Dataset of Check-worthy Factual Claims
Fatma Arslan, Naeemul Hassan, Chengkai Li, Mark Tremayne
http://arxiv.org/abs/2004.14425v1
• [cs.CL]A Call for More Rigor in Unsupervised Cross-lingual Learning
Mikel Artetxe, Sebastian Ruder, Dani Yogatama, Gorka Labaka, Eneko Agirre
http://arxiv.org/abs/2004.14958v1
• [cs.CL]A Focused Study to Compare Arabic Pre-training Models on Newswire IE Tasks
Wuwei Lan, Yang Chen, Wei Xu, Alan Ritter
http://arxiv.org/abs/2004.14519v1
• [cs.CL]A Large-Scale Semi-Supervised Dataset for Offensive Language Identification
Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Marcos Zampieri, Preslav Nakov
http://arxiv.org/abs/2004.14454v1
• [cs.CL]A Matter of Framing: The Impact of Linguistic Formalism on Probing Results
Ilia Kuznetsov, Iryna Gurevych
http://arxiv.org/abs/2004.14999v1
• [cs.CL]A Span-based Linearization for Constituent Trees
Yang Wei, Yuanbin Wu, Man Lan
http://arxiv.org/abs/2004.14704v1
• [cs.CL]A Supervised Word Alignment Method based on Cross-Language Span Prediction using Multilingual BERT
Masaaki Nagata, Chousa Katsuki, Masaaki Nishino
http://arxiv.org/abs/2004.14516v1
• [cs.CL]AMPERSAND: Argument Mining for PERSuAsive oNline Discussions
Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy Mckeown, Alyssa Hwang
http://arxiv.org/abs/2004.14677v1
• [cs.CL]Accurate Word Alignment Induction from Neural Machine Translation
Yun Chen, Yang Liu, Guanhua Chen, Xin Jiang, Qun Liu
http://arxiv.org/abs/2004.14837v1
• [cs.CL]Addressing Zero-Resource Domains Using Document-Level Context in Neural Machine Translation
Dario Stojanovski, Alexander Fraser
http://arxiv.org/abs/2004.14927v1
• [cs.CL]Analyzing the Surprising Variability in Word Embedding Stability Across Languages
Laura Burdick, Jonathan K. Kummerfeld, Rada Mihalcea
http://arxiv.org/abs/2004.14876v1
• [cs.CL]Asking without Telling: Exploring Latent Ontologies in Contextual Representations
Julian Michael, Jan A. Botha, Ian Tenney
http://arxiv.org/abs/2004.14513v1
• [cs.CL]Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing
Brian Thompson, Matt Post
http://arxiv.org/abs/2004.14564v1
• [cs.CL]Bilingual Text Extraction as Reading Comprehension
Katsuki Chousa, Masaaki Nagata, Masaaki Nishino
http://arxiv.org/abs/2004.14517v1
• [cs.CL]Boosting Naturalness of Language in Task-oriented Dialogues via Adversarial Training
Chenguang Zhu
http://arxiv.org/abs/2004.14565v1
• [cs.CL]Bridging linguistic typology and multilingual machine translation with multi-view language representations
Arturo Oncevay, Barry Haddow, Alexandra Birch
http://arxiv.org/abs/2004.14923v1
• [cs.CL]Can Your Context-Aware MT System Pass the DiP Benchmark Tests? : Evaluation Benchmarks for Discourse Phenomena in Machine Translation
Prathyusha Jwalapuram, Barbara Rychalska, Shafiq Joty, Dominika Basaj
http://arxiv.org/abs/2004.14607v1
• [cs.CL]Capsule-Transformer for Neural Machine Translation
Sufeng Duan, Juncheng Cao, Hai Zhao
http://arxiv.org/abs/2004.14649v1
• [cs.CL]Character-Level Translation with Self-attention
Yingqiang Gao, Nikola I. Nikolov, Yuhuang Hu, Richard H. R. Hahnloser
http://arxiv.org/abs/2004.14788v1
• [cs.CL]CohEval: Benchmarking Coherence Models
Tasnim Mohiuddin, Prathyusha Jwalapuram, Xiang Lin, Shafiq Joty
http://arxiv.org/abs/2004.14626v1
• [cs.CL]Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation
Kun Li, Chengbo Chen, Xiaojun Quan, Qing Ling, Yan Song
http://arxiv.org/abs/2004.14769v1
• [cs.CL]Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation
Giuseppe Russo, Nora Hollenstein, Claudiu Musat, Ce Zhang
http://arxiv.org/abs/2004.14983v1
• [cs.CL]Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO
Zarana Parekh, Jason Baldridge, Daniel Cer, Austin Waters, Yinfei Yang
http://arxiv.org/abs/2004.15020v1
• [cs.CL]Distantly-Supervised Neural Relation Extraction with Side Information using BERT
Johny Moreira, Chaina Oliveira, David Macedo, Cleber Zanchettin, Luciano Barbosa
http://arxiv.org/abs/2004.14443v1
• [cs.CL]Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?
Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui
http://arxiv.org/abs/2004.14839v1
• [cs.CL]End-to-End Neural Word Alignment Outperforms GIZA++
Thomas Zenkel, Joern Wuebker, John DeNero
http://arxiv.org/abs/2004.14675v1
• [cs.CL]Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection
Momchil Hardalov, Ivan Koychev, Preslav Nakov
http://arxiv.org/abs/2004.14848v1
• [cs.CL]EnsembleGAN: Adversarial Learning for Retrieval-Generation Ensemble Model on Short-Text Conversation
Jiayi Zhang, Chongyang Tao, Zhenjing Xu, Qiaojing Xie, Wei Chen, Rui Yan
http://arxiv.org/abs/2004.14592v1
• [cs.CL]Explicit Representation of the Translation Space: Automatic Paraphrasing for Machine Translation Evaluation
Rachel Bawden, Biao Zhang, Lisa Yankovskaya, Andre Tättar, Matt Post
http://arxiv.org/abs/2004.14989v1
• [cs.CL]Exploiting Sentence Order in Document Alignment
Brian Thompson, Philipp Koehn
http://arxiv.org/abs/2004.14523v1
• [cs.CL]Exploring Contextualized Neural Language Models for Temporal Dependency Parsing
Hayley Ross, Jonathan Cai, Bonan Min
http://arxiv.org/abs/2004.14577v1
• [cs.CL]Fact or Fiction: Verifying Scientific Claims
David Wadden, Kyle Lo, Lucy Lu Wang, Shanchuan Lin, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi
http://arxiv.org/abs/2004.14974v1
• [cs.CL]Few-Shot Natural Language Generation by Rewriting Templates
Mihir Kale, Abhinav Rastogi
http://arxiv.org/abs/2004.15006v1
• [cs.CL]Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots
Jia-Chen Gu, Zhen-Hua Ling, Quan Liu, Si Wei, Xiaodan Zhu
http://arxiv.org/abs/2004.14550v1
• [cs.CL]Hierarchical Encoders for Modeling and Interpreting Screenplays
Gayatri Bhat, Avneesh Saluja, Melody Dye, Jan Florjanczyk
http://arxiv.org/abs/2004.14532v1
• [cs.CL]How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking
Nicola De Cao, Michael Schlichtkrull, Wilker Aziz, Ivan Titov
http://arxiv.org/abs/2004.14992v1
• [cs.CL]Imitation Attacks and Defenses for Black-box Machine Translation Systems
Eric Wallace, Mitchell Stern, Dawn Song
http://arxiv.org/abs/2004.15015v1
• [cs.CL]Improved Natural Language Generation via Loss Truncation
Daniel Kang, Tatsunori Hashimoto
http://arxiv.org/abs/2004.14589v1
• [cs.CL]Indirect Identification of Psychosocial Risks from Natural Language
Kristen C. Allen, Alex Davis, Tamar Krishnamurti
http://arxiv.org/abs/2004.14554v1
• [cs.CL]Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition
Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno, Kentaro Inui
http://arxiv.org/abs/2004.14514v1
• [cs.CL]Investigating Transferability in Pretrained Language Models
Alex Tamkin, Trisha Singh, Davide Giovanardi, Noah Goodman
http://arxiv.org/abs/2004.14975v1
• [cs.CL]Knowledge Graph Empowered Entity Description Generation
Liying Cheng, Yan Zhang, Dekun Wu, Zhanming Jie, Lidong Bing, Wei Lu, Luo Si
http://arxiv.org/abs/2004.14813v1
• [cs.CL]Language Model Prior for Low-Resource Neural Machine Translation
Christos Baziotis, Barry Haddow, Alexandra Birch
http://arxiv.org/abs/2004.14928v1
• [cs.CL]Lexical Semantic Recognition
Nelson F. Liu, Daniel Hershcovich, Michael Kranzlein, Nathan Schneider
http://arxiv.org/abs/2004.15008v1
• [cs.CL]Logic2Text: High-Fidelity Natural Language Generation from Logical Forms
Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Yang Wang
http://arxiv.org/abs/2004.14579v1
• [cs.CL]Look at the First Sentence: Position Bias in Question Answering
Miyoung Ko, Jinhyuk Lee, Hyunjae Kim, Gangwoo Kim, Jaewoo Kang
http://arxiv.org/abs/2004.14602v1
• [cs.CL]MLSUM: The Multilingual Summarization Corpus
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano
http://arxiv.org/abs/2004.14900v1
• [cs.CL]Mind Your Inflections! Improving NLP for Non-Standard English with Base-Inflection Encoding
Samson Tan, Shafiq Joty, Lav R. Varshney, Min-Yen Kan
http://arxiv.org/abs/2004.14870v1
• [cs.CL]Modelling Suspense in Short Stories as Uncertainty Reduction over Neural Representation
David Wilmot, Frank Keller
http://arxiv.org/abs/2004.14905v1
• [cs.CL]Modular Representation Underlies Systematic Generalization in Neural Natural Language Inference Models
Atticus Geiger, Kyle Richardson, Christopher Potts
http://arxiv.org/abs/2004.14623v1
• [cs.CL]Multi-Domain Spoken Language Understanding Using Domain- and Task-Aware Parameterization
Libo Qin, Minheng Ni, Yue Zhang, Wanxiang Che, Yangming Li, Ting Liu
http://arxiv.org/abs/2004.14871v1
• [cs.CL]Mutlitask Learning for Cross-Lingual Transfer of Semantic Dependencies
Maryam Aminian, Mohammad Sadegh Rasooli, Mona Diab
http://arxiv.org/abs/2004.14961v1
• [cs.CL]NUBIA: NeUral Based Interchangeability Assessor for Text Generation
Hassan Kane, Muhammed Yusuf Kocyigit, Ali Abdalla, Pelkins Ajanoh, Mohamed Coulibali
http://arxiv.org/abs/2004.14667v1
• [cs.CL]Named Entity Recognition without Labelled Data: A Weak Supervision Approach
Pierre Lison, Aliaksandr Hubin, Jeremy Barnes, Samia Touileb
http://arxiv.org/abs/2004.14723v1
• [cs.CL]Natural Language Premise Selection: Finding Supporting Statements for Mathematical Text
Deborah Ferreira, Andre Freitas
http://arxiv.org/abs/2004.14959v1
• [cs.CL]On the Evaluation of Contextual Embeddings for Zero-Shot Cross-Lingual Transfer Learning
Phillip Keung, Yichao Lu, Julian Salazar, Vikas Bhardwaj
http://arxiv.org/abs/2004.15001v1
• [cs.CL]Paraphrasing vs Coreferring: Two Sides of the Same Coin
Yehudit Meged, Avi Caciularu, Vered Shwartz, Ido Dagan
http://arxiv.org/abs/2004.14979v1
• [cs.CL]Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT
Zhiyong Wu, Yun Chen, Ben Kao, Qun Liu
http://arxiv.org/abs/2004.14786v1
• [cs.CL]PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking
Hannah Rashkin, Asli Celikyilmaz, Yejin Choi, Jianfeng Gao
http://arxiv.org/abs/2004.14967v1
• [cs.CL]Posterior Calibrated Training on Sentence Classification Tasks
Taehee Jung, Dongyeop Kang, Hua Cheng, Lucas Mentch, Thomas Schaaf
http://arxiv.org/abs/2004.14500v1
• [cs.CL]Pragmatic Issue-Sensitive Image Captioning
Allen Nie, Reuben Cohn-Gordon, Christopher Potts
http://arxiv.org/abs/2004.14451v1
• [cs.CL]Pretraining on Non-linguistic Structure as a Tool for Analyzing Learning Bias in Language Models
Isabel Papadimitriou, Dan Jurafsky
http://arxiv.org/abs/2004.14601v1
• [cs.CL]Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation
Asa Cooper Stickland, Xian Li, Marjan Ghazvininejad
http://arxiv.org/abs/2004.14911v1
• [cs.CL]Recipes for building an open-domain chatbot
Stephen Roller, Emily Dinan, Naman Goyal, Da Ju, Mary Williamson, Yinhan Liu, Jing Xu, Myle Ott, Kurt Shuster, Eric M. Smith, Y-Lan Boureau, Jason Weston
http://arxiv.org/abs/2004.13637v2
• [cs.CL]RikiNet: Reading Wikipedia Pages for Natural Question Answering
Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Nan Duan
http://arxiv.org/abs/2004.14560v1
• [cs.CL]Robust Question Answering Through Sub-part Alignment
Jifan Chen, Greg Durrett
http://arxiv.org/abs/2004.14648v1
• [cs.CL]STARC: Structured Annotations for Reading Comprehension
Yevgeni Berzak, Jonathan Malmaud, Roger Levy
http://arxiv.org/abs/2004.14797v1
• [cs.CL]SegaBERT: Pre-training of Segment-aware BERT for Language Understanding
He Bai, Peng Shi, Jimmy Lin, Luchen Tan, Kun Xiong, Wen Gao, Ming Li
http://arxiv.org/abs/2004.14996v1
• [cs.CL]Self-Supervised and Controlled Multi-Document Opinion Summarization
Hady Elsahar, Maximin Coavoux, Matthias Gallé, Jos Rozen
http://arxiv.org/abs/2004.14754v1
• [cs.CL]Semantic Triple Encoder for Fast Open-Set Link Prediction
Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang
http://arxiv.org/abs/2004.14781v1
• [cs.CL]Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders
Yanbin Zhao, Lu Chen, Zhi Chen, Kai Yu
http://arxiv.org/abs/2004.14693v1
• [cs.CL]Simulated Multiple Reference Training Improves Low-Resource Machine Translation
Huda Khayrallah, Brian Thompson, Matt Post, Philipp Koehn
http://arxiv.org/abs/2004.14524v1
• [cs.CL]Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations
Peng Qi, Yuhao Zhang, Christopher D. Manning
http://arxiv.org/abs/2004.14530v1
• [cs.CL]TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task
Christoph Alt, Aleksandra Gabryszak, Leonhard Hennig
http://arxiv.org/abs/2004.14855v1
• [cs.CL]TLDR: Extreme Summarization of Scientific Documents
Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld
http://arxiv.org/abs/2004.15011v1
• [cs.CL]Text Segmentation by Cross Segment Attention
Michal Lukasik, Boris Dadachev, Gonçalo Simões, Kishore Papineni
http://arxiv.org/abs/2004.14535v1
• [cs.CL]TextAT: Adversarial Training for Natural Language Understanding with Token-Level Perturbation
Linyang Li, Xipeng Qiu
http://arxiv.org/abs/2004.14543v1
• [cs.CL]The role of context in neural pitch accent detection in English
Elizabeth Nielsen, Mark Steedman, Sharon Goldwater
http://arxiv.org/abs/2004.14846v1
• [cs.CL]Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!
Suzanna Sia, Ayush Dalmia, Sabrina J. Mielke
http://arxiv.org/abs/2004.14914v1
• [cs.CL]ToTTo: A Controlled Table-To-Text Generation Dataset
Ankur P. Parikh, Xuezhi Wang, Sebastian Gehrmann, Manaal Faruqui, Bhuwan Dhingra, Diyi Yang, Dipanjan Das
http://arxiv.org/abs/2004.14373v2
• [cs.CL]Towards Unsupervised Language Understanding and Generation by Joint Dual Learning
Shang-Yu Su, Chao-Wei Huang, Yun-Nung Chen
http://arxiv.org/abs/2004.14710v1
• [cs.CL]Universal Dependencies according to BERT: both more specific and more general
Tomasz Limisiewicz, Rudolf Rosa, David Mare\v{cek}
http://arxiv.org/abs/2004.14620v1
• [cs.CL]Unsupervised Injection of Knowledge into Dialogue Generation via Language Models
Yi-Lin Tuan, Wei Wei, William Yang Wang
http://arxiv.org/abs/2004.14614v1
• [cs.CL]Use of Machine Translation to Obtain Labeled Datasets for Resource-Constrained Languages
Emrah Budur, Rıza Özçelik, Tunga Güngör, Christopher Potts
http://arxiv.org/abs/2004.14963v1
• [cs.CL]User-Guided Aspect Classification for Domain-Specific Texts
Peiran Li, Fang Guo, Jingbo Shang
http://arxiv.org/abs/2004.14555v1
• [cs.CL]Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation
Shoetsu Sato, Jin Sakuma, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa
http://arxiv.org/abs/2004.14821v1
• [cs.CL]WT5?! Training Text-to-Text Models to Explain their Predictions
Sharan Narang, Colin Raffel, Katherine Lee, Adam Roberts, Noah Fiedel, Karishma Malkan
http://arxiv.org/abs/2004.14546v1
• [cs.CL]What Happens To BERT Embeddings During Fine-tuning?
Amil Merchant, Elahe Rahimtoroghi, Ellie Pavlick, Ian Tenney
http://arxiv.org/abs/2004.14448v1
• [cs.CL]When does data augmentation help generalization in NLP?
Rohan Jha, Charles Lovering, Ellie Pavlick
http://arxiv.org/abs/2004.15012v1
• [cs.CL]WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context
Anna Breit, Artem Revenko, Kiamehr Rezaee, Mohammad Taher Pilehvar, Jose Camacho-Collados
http://arxiv.org/abs/2004.15016v1
• [cs.CL]Word Rotator’s Distance: Decomposing Vectors Gives Better Representations
Sho Yokoi, Ryo Takahashi, Reina Akama, Jun Suzuki, Kentaro Inui
http://arxiv.org/abs/2004.15003v1
• [cs.CL]You are right. I am ALARMED — But by Climate Change Counter Movement
Shraey Bhatia, Jey Han Lau, Timothy Baldwin
http://arxiv.org/abs/2004.14907v1
• [cs.CL]memeBot: Towards Automatic Image Meme Generation
Aadhavan Sadasivam, Kausic Gunasekar, Hasan Davulcu, Yezhou Yang
http://arxiv.org/abs/2004.14571v1
• [cs.CR]A Cost-efficient IoT Forensics Framework with Blockchain
Suat Mercan, Mumin Cebe, Ege Tekiner, Kemal Akkaya, Melissa Chang, Selcuk Uluagac
http://arxiv.org/abs/2004.14691v1
• [cs.CR]On Detecting Hidden Third-Party Web Trackers with a Wide Dependency Chain Graph: A Representation Learning Approach
Amir Hossein Kargaran, Mohammad Sadegh Akhondzadeh, Mohammad Reza Heidarpour, Mohammad Hossein Manshaei, Kave Salamatian, Masoud Nejad Sattary
http://arxiv.org/abs/2004.14826v1
• [cs.CR]Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability
Nathan Inkawhich, Kevin J Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen
http://arxiv.org/abs/2004.14861v1
• [cs.CV]A Multi-scale Optimization Learning Framework for Diffeomorphic Deformable Registration
Risheng Liu, Zi Li, Yuxi Zhang, Chenying Zhao, Hao Huang, Zhongxuan Luo, Xin Fan
http://arxiv.org/abs/2004.14557v1
• [cs.CV]A Novel Perspective to Zero-shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion
Jingcai Guo, Song Guo
http://arxiv.org/abs/2004.14795v1
• [cs.CV]APB2Face: Audio-guided face reenactment with auxiliary pose and blink signals
Jiangning Zhang, Liang Liu, Zhucun Xue, Yong Liu
http://arxiv.org/abs/2004.14569v1
• [cs.CV]Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation
Dino Ienco, Yawogan Jean Eudes Gbodjo, Roberto Interdonato, Raffaele Gaetano
http://arxiv.org/abs/2004.14672v1
• [cs.CV]Bilateral Attention Network for RGB-D Salient Object Detection
Zhao Zhang, Zheng Lin, Jun Xu, Wenda Jin, Shao-Ping Lu, Deng-Ping Fan
http://arxiv.org/abs/2004.14582v1
• [cs.CV]Consistent Video Depth Estimation
Xuan Luo, Jia-Bin Huang, Richard Szeliski, Kevin Matzen, Johannes Kopf
http://arxiv.org/abs/2004.15021v1
• [cs.CV]DIABLO: Dictionary-based Attention Block for Deep Metric Learning
Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein
http://arxiv.org/abs/2004.14644v1
• [cs.CV]Detecting Deep-Fake Videos from Appearance and Behavior
Shruti Agarwal, Tarek El-Gaaly, Hany Farid, Ser-Nam Lim
http://arxiv.org/abs/2004.14491v1
• [cs.CV]Dynamic Language Binding in Relational Visual Reasoning
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
http://arxiv.org/abs/2004.14603v1
• [cs.CV]Feedback U-net for Cell Image Segmentation
Eisuke Shibuya, Kazuhiro Hotta
http://arxiv.org/abs/2004.14581v1
• [cs.CV]Improving Semantic Segmentation via Self-Training
Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander Smola
http://arxiv.org/abs/2004.14960v1
• [cs.CV]Improving Vision-and-Language Navigation with Image-Text Pairs from the Web
Arjun Majumdar, Ayush Shrivastava, Stefan Lee, Peter Anderson, Devi Parikh, Dhruv Batra
http://arxiv.org/abs/2004.14973v1
• [cs.CV]Inability of spatial transformations of CNN feature maps to support invariant recognition
Ylva Jansson, Maksim Maydanskiy, Lukas Finnveden, Tony Lindeberg
http://arxiv.org/abs/2004.14716v1
• [cs.CV]MobileDets: Searching for Object Detection Architectures for Mobile Accelerators
Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen
http://arxiv.org/abs/2004.14525v1
• [cs.CV]Pedestrian Path, Pose and Intention Prediction through Gaussian Process Dynamical Models and Pedestrian Activity Recognition
Raul Quintero, Ignacio Parra, David Fernandez Llorca, Miguel Angel Sotelo
http://arxiv.org/abs/2004.14747v1
• [cs.CV]Polarization Human Shape and Pose Dataset
Shihao Zou, Xinxin Zuo, Yiming Qian, Sen Wang, Chi Xu, Minglun Gong, Li Cheng
http://arxiv.org/abs/2004.14899v1
• [cs.CV]Polygonal Building Segmentation by Frame Field Learning
Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka
http://arxiv.org/abs/2004.14875v1
• [cs.CV]PreCNet: Next Frame Video Prediction Based on Predictive Coding
Zdenek Straka, Tomas Svoboda, Matej Hoffmann
http://arxiv.org/abs/2004.14878v1
• [cs.CV]Progressive Transformers for End-to-End Sign Language Production
Ben Saunders, Necati Cihan Camgoz, Richard Bowden
http://arxiv.org/abs/2004.14874v1
• [cs.CV]Rethinking Class-Discrimination Based CNN Channel Pruning
Yuchen Liu, David Wentzlaff, S. Y. Kung
http://arxiv.org/abs/2004.14492v1
• [cs.CV]SS3D: Single Shot 3D Object Detector
Aniket Limaye, Manu Mathew, Soyeb Nagori, Pramod Kumar Swami, Debapriya Maji, Kumar Desappan
http://arxiv.org/abs/2004.14674v1
• [cs.CV]Salient Object Detection Combining a Self-attention Module and a Feature Pyramid Network
Guangyu Ren, Tianhong Dai, Panagiotis Barmpoutis, Tania Stathaki
http://arxiv.org/abs/2004.14552v1
• [cs.CV]SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation
Siddhartha Gairola, Mayur Hemani, Ayush Chopra, Balaji Krishnamurthy
http://arxiv.org/abs/2004.15014v1
• [cs.CV]Teaching Cameras to Feel: Estimating Tactile Physical Properties of Surfaces From Images
Matthew Purri, Kristin Dana
http://arxiv.org/abs/2004.14487v1
• [cs.CV]The 4th AI City Challenge
Milind Naphade, Shuo Wang, David Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty
http://arxiv.org/abs/2004.14619v1
• [cs.CY]Balancing Personal Privacy and Public Safety in COVID-19: Case of Korea and France
Na-Young Ahn, Jun Eun Park, Dong Hoon Lee, Paul C. Hong
http://arxiv.org/abs/2004.14495v1
• [cs.CY]Covid-19 and contact tracing apps: A review under the European legal framework
Teresa Scantamburlo, Atia Cortés, Pierre Dewitte, Daphné Van Der Eycken, Valentina Billa, Pieter Duysburgh, Willemien Laenens
http://arxiv.org/abs/2004.14665v1
• [cs.CY]Observed mobility behavior data reveal social distancing inertia
Sepehr Ghader, Jun Zhao, Minha Lee, Weiyi Zhou, Guangchen Zhao, Lei Zhang
http://arxiv.org/abs/2004.14748v1
• [cs.CY]Prevalence of Low-Credibility Information on Twitter During the COVID-19 Outbreak
Kai-Cheng Yang, Christopher Torres-Lugo, Filippo Menczer
http://arxiv.org/abs/2004.14484v1
• [cs.DB]RadixSpline: A Single-Pass Learned Index
Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann
http://arxiv.org/abs/2004.14541v1
• [cs.DC]6G White Paper on Edge Intelligence
Ella Peltonen, Mehdi Bennis, Michele Capobianco, Merouane Debbah, Aaron Ding, Felipe Gil-Castiñeira, Marko Jurmu, Teemu Karvonen, Markus Kelanti, Adrian Kliks, Teemu Leppänen, Lauri Lovén, Tommi Mikkonen, Ashwin Rao, Sumudu Samarakoon, Kari Seppänen, Paweł Sroka, Sasu Tarkoma, Tingting Yang
http://arxiv.org/abs/2004.14850v1
• [cs.DC]A Survey on Time-Sensitive Resource Allocation in the Cloud Continuum
Saravanan Ramanathan, Nitin Shivaraman, Seima Suryasekaran, Arvind Easwaran, Etienne Borde, Sebastian Steinhorst
http://arxiv.org/abs/2004.14559v1
• [cs.DC]Cloud+: A safe and restrained data access control program for cloud
Sarath Pathari
http://arxiv.org/abs/2004.14746v1
• [cs.DC]Computing server power modeling in a data center: survey,taxonomy and performance evaluation
Leila Ismail, Huned Materwala
http://arxiv.org/abs/2004.12335v2
• [cs.DC]Dynamic backup workers for parallel machine learning
Chuan Xu, Giovanni Neglia, Nicola Sebastianelli
http://arxiv.org/abs/2004.14696v1
• [cs.DC]From Byzantine Replication to Blockchain: Consensus is only the Beginning
Alysson Bessani, Eduardo Alchieri, João Sousa, André Oliveira, Fernando Pedone
http://arxiv.org/abs/2004.14527v1
• [cs.DC]Virtual Communication Stack: Towards Building Integrated Simulator of Mobile Ad Hoc Network-based Infrastructure for Disaster Response Scenarios
Aznam Yacoub
http://arxiv.org/abs/2004.14093v1
• [cs.DS]Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis
Niels Grüttemeier, Christian Komusiewicz
http://arxiv.org/abs/2004.14724v1
• [cs.DS]Sparse Hashing for Scalable Approximate Model Counting: Theory and Practice
Kuldeep S. Meel, S. Akshay
http://arxiv.org/abs/2004.14692v1
• [cs.ET]Memristors — from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing
Adnan Mehonic, Abu Sebastian, Bipin Rajendran, Osvaldo Simeone, Eleni Vasilaki, Anthony J. Kenyon
http://arxiv.org/abs/2004.14942v1
• [cs.GR]Interactive Video Stylization Using Few-Shot Patch-Based Training
Ondřej Texler, David Futschik, Michal Kučera, Ondřej Jamriška, Šárka Sochorová, Menglei Chai, Sergey Tulyakov, Daniel Sýkora
http://arxiv.org/abs/2004.14489v1
• [cs.GT]Design and Implementation of Air Selection based Augmented Reality Serious Game for Learning Capability Analysis
Harini. M, Harini. T, Roxanna Samuel
http://arxiv.org/abs/2004.14685v1
• [cs.GT]PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection
Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov
http://arxiv.org/abs/2004.14939v1
• [cs.HC]CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
http://arxiv.org/abs/2004.15004v1
• [cs.HC]EXACT: A collaboration toolset for algorithm-aided annotation of almost everything
Christian Marzahl, Marc Aubreville, Christof A. Bertram, Jennifer Maier, Christian Bergler, Christine Kröger, Jörn Voigt, Robert Klopfleisch, Andreas Maier
http://arxiv.org/abs/2004.14595v1
• [cs.IR]A Deep Recurrent Survival Model for Unbiased Ranking
Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai
http://arxiv.org/abs/2004.14714v1
• [cs.IR]A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering
Shaowen Peng, Tsunenori Mine
http://arxiv.org/abs/2004.14734v1
• [cs.IR]Learning to Ask Screening Questions for Job Postings
Baoxu Shi, Shan Li, Jaewon Yang, Mustafa Emre Kazdagli, Qi He
http://arxiv.org/abs/2004.14969v1
• [cs.IR]Query-level Early Exit for Additive Learning-to-Rank Ensembles
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
http://arxiv.org/abs/2004.14641v1
• [cs.IR]Question Rewriting for Conversational Question Answering
Svitlana Vakulenko, Shayne Longpre, Zhucheng Tu, Raviteja Anantha
http://arxiv.org/abs/2004.14652v1
• [cs.IR]Zero-shot Neural Retrieval via Domain-targeted Synthetic Query Generation
Ji Ma, Ivan Korotkov, Yinfei Yang, Keith Hall, Ryan McDonald
http://arxiv.org/abs/2004.14503v1
• [cs.IT]Broadcast Approach for the Information Bottleneck Channel
Avi Steiner, Shlomo Shamai
http://arxiv.org/abs/2004.14464v1
• [cs.IT]Compound Secure Groupcast: Key Assignment for Selected Broadcasting
Hua Sun
http://arxiv.org/abs/2004.14986v1
• [cs.IT]Criss-Cross Deletion Correcting Codes
Rawad Bitar, Ilia Smagloy, Lorenz Welter, Antonia Wachter-Zeh, Eitan Yaakobi
http://arxiv.org/abs/2004.14740v1
• [cs.IT]Flag Codes from Planar Spreads in Network Coding
Clementa Alonso-González, Miguel Ángel Navarro-Pérez, Xaro Soler-Escrivà
http://arxiv.org/abs/2004.14867v1
• [cs.IT]Rényi Bounds on Information Combining
Christoph Hirche
http://arxiv.org/abs/2004.14408v1
• [cs.IT]Secrecy Analysis of Ambient Backscatter NOMA Systems under I/Q Imbalance
Xingwang Li, Mengle Zhao, Yuanwei Liu, Lihua Li, Zhiguo Ding, Arumugam Nallanathan
http://arxiv.org/abs/2004.14563v1
• [cs.IT]Support Constrained Generator Matrices of Gabidulin Codes in Characteristic Zero
Hikmet Yildiz, Netanel Raviv, Babak Hassibi
http://arxiv.org/abs/2004.14430v1
• [cs.LG]Binary autoencoder with random binary weights
Viacheslav Osaulenko
http://arxiv.org/abs/2004.14717v1
• [cs.LG]Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
Daniel Guo, Bernardo Avila Pires, Bilal Piot, Jean-bastien Grill, Florent Altché, Rémi Munos, Mohammad Gheshlaghi Azar
http://arxiv.org/abs/2004.14646v1
• [cs.LG]Counterfactual Off-Policy Training for Neural Response Generation
Qingfu Zhu, Weinan Zhang, Ting Liu, William Yang Wang
http://arxiv.org/abs/2004.14507v1
• [cs.LG]Distributional Soft Actor Critic for Risk Sensitive Learning
Xiaoteng Ma, Qiyuan Zhang, Li Xia, Zhengyuan Zhou, Jun Yang, Qianchuan Zhao
http://arxiv.org/abs/2004.14547v1
• [cs.LG]Explainable Deep Learning: A Field Guide for the Uninitiated
Ning Xie, Gabrielle Ras, Marcel van Gerven, Derek Doran
http://arxiv.org/abs/2004.14545v1
• [cs.LG]Few-Shot Learning for Abstractive Multi-Document Opinion Summarization
Arthur Bražinskas, Mirella Lapata, Ivan Titov
http://arxiv.org/abs/2004.14884v1
• [cs.LG]Learning from Sparse Datasets: Predicting Concrete’s Strength by Machine Learning
Boya Ouyang, Yuhai Li, Yu Song, Feishu Wu, Huizi Yu, Yongzhe Wang, Mathieu Bauchy, Gaurav Sant
http://arxiv.org/abs/2004.14407v1
• [cs.LG]Learning nonlinear dynamical systems from a single trajectory
Dylan J. Foster, Alexander Rakhlin, Tuhin Sarkar
http://arxiv.org/abs/2004.14681v1
• [cs.LG]Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks
Gerrit Schoettler, Ashvin Nair, Juan Aparicio Ojea, Sergey Levine, Eugen Solowjow
http://arxiv.org/abs/2004.14404v1
• [cs.LG]Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding
Dehua Chen, Amir Jalilifard, Adriano Veloso, Nivio Ziviani
http://arxiv.org/abs/2004.14842v1
• [cs.LG]Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation
Yuheng Jia, Hui Liu, Junhui Hou, Sam Kwong, Qingfu Zhang
http://arxiv.org/abs/2004.14705v1
• [cs.LG]On Learning Combinatorial Patterns to Assist Large-Scale Airline Crew Pairing Optimization
Divyam Aggarwal, Yash Kumar Singh, Dhish Kumar Saxena
http://arxiv.org/abs/2004.13714v2
• [cs.LG]Out-of-the-box channel pruned networks
Ragav Venkatesan, Gurumurthy Swaminathan, Xiong Zhou, Anna Luo
http://arxiv.org/abs/2004.14584v1
• [cs.LG]Packet2Vec: Utilizing Word2Vec for Feature Extraction in Packet Data
Eric L. Goodman, Chase Zimmerman, Corey Hudson
http://arxiv.org/abs/2004.14477v1
• [cs.LG]Physarum Powered Differentiable Linear Programming Layers and Applications
Zihang Meng, Sathya N. Ravi, Vikas Singh
http://arxiv.org/abs/2004.14539v1
• [cs.LG]Plan-Space State Embeddings for Improved Reinforcement Learning
Max Pflueger, Gaurav S. Sukhatme
http://arxiv.org/abs/2004.14567v1
• [cs.LG]Preventing Posterior Collapse with Levenshtein Variational Autoencoder
Serhii Havrylov, Ivan Titov
http://arxiv.org/abs/2004.14758v1
• [cs.LG]Pruning artificial neural networks: a way to find well-generalizing, high-entropy sharp minima
Enzo Tartaglione, Andrea Bragagnolo, Marco Grangetto
http://arxiv.org/abs/2004.14765v1
• [cs.LG]Reinforcement Learning with Augmented Data
Michael Laskin, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel, Aravind Srinivas
http://arxiv.org/abs/2004.14990v1
• [cs.LG]Robustness Certification of Generative Models
Matthew Mirman, Timon Gehr, Martin Vechev
http://arxiv.org/abs/2004.14756v1
• [cs.LG]TRP: Trained Rank Pruning for Efficient Deep Neural Networks
Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong
http://arxiv.org/abs/2004.14566v1
• [cs.LG]The Effect of Natural Distribution Shift on Question Answering Models
John Miller, Karl Krauth, Benjamin Recht, Ludwig Schmidt
http://arxiv.org/abs/2004.14444v1
• [cs.LG]The Information Bottleneck Problem and Its Applications in Machine Learning
Ziv Goldfeld, Yury Polyanskiy
http://arxiv.org/abs/2004.14941v1
• [cs.LG]To Reduce Gross NPA and Classify Defaulters Using Shannon Entropy
Ambarish Moharil, Nikhil Sonavane, Chirag Kedia, Mansimran Singh Anand
http://arxiv.org/abs/2004.14418v1
• [cs.LG]Whittle index based Q-learning for restless bandits with average reward
Konstantin Avrachenkov, Vivek S. Borkar
http://arxiv.org/abs/2004.14427v1
• [cs.LO]Proceedings 16th International Conference on Quantum Physics and Logic
Bob Coecke, Matthew Leifer
http://arxiv.org/abs/2004.14750v1
• [cs.MM]MuSe 2020 — The First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop
Lukas Stappen, Alice Baird, Georgios Rizos, Panagiotis Tzirakis, Xinchen Du, Felix Hafner, Lea Schumann, Adria Mallol-Ragolta, Björn W. Schuller, Iulia Lefter, Erik Cambria, Ioannis Kompatsiaris
http://arxiv.org/abs/2004.14858v1
• [cs.NE]On the Baldwin Effect under Coevolution
Larry Bull
http://arxiv.org/abs/2004.14827v1
• [cs.NI]Satellite Broadcasting Enabled Blockchain Protocol: A Preliminary Study
Ying-Hao Zhang, Xiao Fan Liu
http://arxiv.org/abs/2004.14591v1
• [cs.PF]Communication-Aware Scheduling of Precedence-Constrained Tasks on Related Machines
Yu Su, Xiaoqi Ren, Shai Vardi, Adam Wierman
http://arxiv.org/abs/2004.14639v1
• [cs.RO]Adaptive Robust Kernels for Non-Linear Least Squares Problems
Nived Chebrolu, Thomas Läbe, Olga Vysotska, Jens Behley, Cyrill Stachniss
http://arxiv.org/abs/2004.14938v1
• [cs.RO]How to reduce computation time while sparing performance during robot navigation? A neuro-inspired architecture for autonomous shifting between model-based and model-free learning
Rémi Dromnelle, Erwan Renaudo, Guillaume Pourcel, Raja Chatila, Benoît Girard, Mehdi Khamassi
http://arxiv.org/abs/2004.14698v1
• [cs.RO]Sim-to-Real Transfer with Incremental Environment Complexity for Reinforcement Learning of Depth-Based Robot Navigation
Thomas Chaffre, Julien Moras, Adrien Chan-Hon-Tong, Julien Marzat
http://arxiv.org/abs/2004.14684v1
• [cs.RO]Towards Embodied Scene Description
Sinan Tan, Huaping Liu, Di Guo, Fuchun Sun
http://arxiv.org/abs/2004.14638v1
• [cs.SI]EER: Enterprise Expert Ranking using Employee Reputation
Saba Mahmood, Anwar Ghani, Ali Daud, Syed Muhammad Saqlain
http://arxiv.org/abs/2004.14439v1
• [cs.SI]Exploiting Social Networks. Technological Trends (Habilitation Thesis)
Adrian Iftene
http://arxiv.org/abs/2004.14386v1
• [cs.SI]Hierarchical clustering of bipartite data sets based on the statistical significance of coincidences
Ignacio Tamarit, María Pereda, José A. Cuesta
http://arxiv.org/abs/2004.14764v1
• [cs.SI]Multilayer network simplification: approaches, models and methods
Roberto Interdonato, Matteo Magnani, Diego Perna, Andrea Tagarelli, Davide Vega
http://arxiv.org/abs/2004.14808v1
• [cs.SI]The Natural Hazards Twitter Dataset
Lingyu Meng, Zhijie Sasha Dong
http://arxiv.org/abs/2004.14456v1
• [eess.AS]A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications
Deepak Baby, Arthur Van Den Broucke, Sarah Verhulst
http://arxiv.org/abs/2004.14832v1
• [eess.AS]Multiresolution and Multimodal Speech Recognition with Transformers
Georgios Paraskevopoulos, Srinivas Parthasarathy, Aparna Khare, Shiva Sundaram
http://arxiv.org/abs/2004.14840v1
• [eess.IV]Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential
Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, Michael Gadermayr
http://arxiv.org/abs/2004.14936v1
• [eess.IV]UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture
Vittorio Mazzia, Lorenzo Comba, Aleem Khaliq, Marcello Chiaberge, Paolo Gay
http://arxiv.org/abs/2004.14421v1
• [eess.SP]Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation
Paolo Di Lorenzo, Simone Scardapane
http://arxiv.org/abs/2004.14882v1
• [eess.SP]Online unsupervised deep unfolding for massive MIMO channel estimation
Luc Le Magoarou, Stéphane Paquelet
http://arxiv.org/abs/2004.14615v1
• [eess.SP]Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework
Qiongxiu Li, Richard Heusdens, Mads Græsbøll Christensen
http://arxiv.org/abs/2004.13999v1
• [eess.SY]Coordination and Communication of Autonomous Subsystems in Cyber Physical Systems: A Mechanism Learning Approach
Husheng Li
http://arxiv.org/abs/2004.14494v1
• [eess.SY]Reduced-Dimensional Reinforcement Learning Control using Singular Perturbation Approximations
Sayak Mukherjee, He Bai, Aranya Chakrabortty
http://arxiv.org/abs/2004.14501v1
• [math.NA]Sparse Cholesky factorization by Kullback-Leibler minimization
Florian Schäfer, Matthias Katzfuss, Houman Owhadi
http://arxiv.org/abs/2004.14455v1
• [math.OC]Hybrid Adaptive Evolutionary Algorithm for Multi-objective Optimization
Jeisson Prieto, Jonatan Gomez
http://arxiv.org/abs/2004.13925v1
• [math.OC]One-Step Estimation With Scaled Proximal Methods
Robert Bassett, Julio Deride
http://arxiv.org/abs/2004.14521v1
• [math.PR]Analysis of Spherical Monofractal and Multifractal Random Fields with Cosmological Applications
Nikolai Leonenko, Ravindi Nanayakkara, Andriy Olenko
http://arxiv.org/abs/2004.14522v1
• [math.ST]Consistency of Spectral Clustering on Hierarchical Stochastic Block Models
Lihua Lei, Xiaodong Li, Xingmei Lou
http://arxiv.org/abs/2004.14531v1
• [math.ST]Identifiability and Consistency of Bayesian Network Structure Learning from Incomplete Data
Tjebbe Bodewes, Marco Scutari
http://arxiv.org/abs/2004.14441v1
• [math.ST]On Deep Instrumental Variables Estimate
Ruiqi Liu, Zuofeng Shang, Guang Cheng
http://arxiv.org/abs/2004.14954v1
• [math.ST]Optimal doubly robust estimation of heterogeneous causal effects
Edward H. Kennedy
http://arxiv.org/abs/2004.14497v1
• [math.ST]Parameter estimation for semilinear SPDEs from local measurements
Randolf Altmeyer, Igor Cialenco, Gregor Pasemann
http://arxiv.org/abs/2004.14728v1
• [math.ST]Wavelet-based estimation in a semiparametric regression model
Emmanuel de Dieu Nkou, Guy Martial Nkiet
http://arxiv.org/abs/2004.14502v1
• [nucl-th]Classification of Equation of State in Relativistic Heavy-Ion Collisions Using Deep Learning
Yu. Kvasiuk, E. Zabrodin, L. Bravina, I. Didur, M. Frolov
http://arxiv.org/abs/2004.14409v1
• [physics.soc-ph]Changes in electricity demand pattern in Europe due to COVID-19 shutdowns
Michał Narajewski, Florian Ziel
http://arxiv.org/abs/2004.14864v1
• [physics.soc-ph]Effectiveness of dismantling strategies on moderated vs. unmoderated online social platforms
Oriol Artime, Valeria d’Andrea, Riccardo Gallotti, Pier Luigi Sacco, Manlio De Domenico
http://arxiv.org/abs/2004.14879v1
• [physics.soc-ph]Putting the Air Transportation System to sleep: a passenger perspective measured by passenger-generated data
Philippe Monmousseau, Aude Marzuoli, Eric Feron, Daniel Delahaye
http://arxiv.org/abs/2004.14372v2
• [q-bio.MN]SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks
Kexin Huang, Cao Xiao, Lucas Glass, Marinka Zitnik, Jimeng Sun
http://arxiv.org/abs/2004.14949v1
• [q-bio.QM]Prediction of Epilepsy Development in Traumatic Brain Injury Patients from Diffusion Weighted MRI
Md Navid Akbar, Marianna La Rocca, Rachael Garner, Dominique Duncan, Deniz Erdoğmuş
http://arxiv.org/abs/2004.14580v1
• [q-fin.MF]Hedging and machine learning driven crude oil data analysis using a refined Barndorff-Nielsen and Shephard model
Humayra Shoshi, Indranil SenGupta
http://arxiv.org/abs/2004.14862v1
• [quant-ph]Coreset Clustering on Small Quantum Computers
Teague Tomesh, Pranav Gokhale, Eric R. Anschuetz, Frederic T. Chong
http://arxiv.org/abs/2004.14970v1
• [stat.AP]Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series
Erik Scharwächter, Emmanuel Müller
http://arxiv.org/abs/2004.14733v1
• [stat.AP]Impacts of California Proposition 47 on Crime in Santa Monica, CA
Jennifer Crodelle, Celeste Vallejo, Markus Schmidtchen, Chad M. Topaz, Maria R. D’Orsogna
http://arxiv.org/abs/2004.14423v1
• [stat.AP]Methods for Population Adjustment with Limited Access to Individual Patient Data: A Simulation Study
Antonio Remiro-Azócar, Anna Heath, Gianluca Baio
http://arxiv.org/abs/2004.14800v1
• [stat.AP]On the normalized power prior
Luiz Max Carvalho, Joseph G. Ibrahim
http://arxiv.org/abs/2004.14912v1
• [stat.AP]Spatiotemporal Dynamics, Nowcasting and Forecasting of COVID-19 in the United States
Li Wang, Guannan Wang, Lei Gao, Xinyi Li, Shan Yu, Myungjin Kim, Yueying Wang, Zhiling Gu
http://arxiv.org/abs/2004.14103v2
• [stat.AP]The unconscious priming fallacy: When can scientists truly claim an indirect task advantage?
Sascha Meyen, Iris A. Zerweck, Catarina Amado, Ulrike von Luxburg, Volker H. Franz
http://arxiv.org/abs/2004.14987v1
• [stat.CO]Maximum likelihood estimation of the Fisher-Bingham distribution via efficient calculation of its normalizing constant
Yici Chen, Kenichiro Tanaka
http://arxiv.org/abs/2004.14660v1
• [stat.ME]A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes
Matthew D. Koslovsky, Kristi L. Hoffman, Carrie R. Daniel, Marina Vannucci
http://arxiv.org/abs/2004.14817v1
• [stat.ME]A primer on coupled state-switching models for multiple interacting time series
Jennifer Pohle, Roland Langrock, Mihaela van der Schaar, Ruth King, Frants Havmand Jensen
http://arxiv.org/abs/2004.14700v1
• [stat.ME]A robust variable screening procedure for ultra-high dimensional data
Abhik Ghosh, Magne Thoresen
http://arxiv.org/abs/2004.14851v1
• [stat.ME]Generalized interpretation and identification of separable effects in competing event settings
Mats J. Stensrud, Miguel A. Hernán, Eric J. Tchetgen Tchetgen, James M. Robins, Vanessa Didelez, Jessica G. Young
http://arxiv.org/abs/2004.14824v1
• [stat.ME]Multiple imputation using chained random forests: a preliminary study based on the empirical distribution of out-of-bag prediction errors
Shangzhi Hong, Yuqi Sun, Hanying Li, Henry S. Lynn
http://arxiv.org/abs/2004.14823v1
• [stat.ME]Simulation studies on Python using sstudy package with SQL databases as storage
Marco A H Inácio
http://arxiv.org/abs/2004.14479v1
• [stat.ML]A Triangular Network For Density Estimation
Xi-Lin Li
http://arxiv.org/abs/2004.14593v1
• [stat.ML]Bias-corrected estimator for intrinsic dimension and differential entropy—a visual multiscale approach
Jugurta Montalvão, Jânio Canuto, Luiz Miranda
http://arxiv.org/abs/2004.14528v1
• [stat.ML]Generalization Error for Linear Regression under Distributed Learning
Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén
http://arxiv.org/abs/2004.14637v1
• [stat.ML]Interpretable Random Forests via Rule Extraction
Clément Bénard, Gérard Biau, Sébastien da Veiga, Erwan Scornet
http://arxiv.org/abs/2004.14841v1
若有收获，就点个赞吧
0 人点赞
