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.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.CO - 组合数学 math.DS - 动力系统 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.ed-ph - 物理教育 physics.ins-det - 仪器和探测器 q-bio.QM - 定量方法 q-fin.PR - 证券定价 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]How Should an Agent Practice?
• [cs.AI]Knowledge forest: a novel model to organize knowledge fragments
• [cs.AI]One-Shot Induction of Generalized Logical Concepts via Human Guidance
• [cs.AI]Polynomial Rewritings from Expressive Description Logics with Closed Predicates to Variants of Datalog
• [cs.CL]#MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement
• [cs.CL]An Unsupervised Domain-Independent Framework for Automated Detection of Persuasion Tactics in Text
• [cs.CL]Associating Natural Language Comment and Source Code Entities
• [cs.CL]Characterizing the dynamics of learning in repeated reference games
• [cs.CL]Computational Induction of Prosodic Structure
• [cs.CL]Efficient Convolutional Neural Networks for Diacritic Restoration
• [cs.CL]Graph-based Neural Sentence Ordering
• [cs.CL]Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering
• [cs.CL]Integrating Lexical Knowledge in Word Embeddings using Sprinkling and Retrofitting
• [cs.CL]Iterative Dual Domain Adaptation for Neural Machine Translation
• [cs.CL]LScDC-new large scientific dictionary
• [cs.CL]Long-Term Planning and Situational Awareness in OpenAI Five
• [cs.CL]Long-length Legal Document Classification
• [cs.CL]Multilingual is not enough: BERT for Finnish
• [cs.CL]Neural Network Surgery with Sets
• [cs.CL]Optimized Tracking of Topic Evolution
• [cs.CL]Predicting detection filters for small footprint open-vocabulary keyword spotting
• [cs.CL]Proppy: A System to Unmask Propaganda in Online News
• [cs.CL]Robust Named Entity Recognition with Truecasing Pretraining
• [cs.CL]Scale-dependent Relationships in Natural Language
• [cs.CL]SemEval-2013 Task 2: Sentiment Analysis in Twitter
• [cs.CL]Semantic Similarity To Improve Question Understanding in a Virtual Patient
• [cs.CL]Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding
• [cs.CL]Towards Robust Toxic Content Classification
• [cs.CR]Learning Malware Representation based on Execution Sequences
• [cs.CR]Scalable Group Secret Key Generation over Wireless Channels
• [cs.CR]Ten AI Stepping Stones for Cybersecurity
• [cs.CV]A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning
• [cs.CV]A Novel Automation-Assisted Cervical Cancer Reading Method Based on Convolutional Neural Network
• [cs.CV]A Shape Transformation-based Dataset Augmentation Framework for Pedestrian Detection
• [cs.CV]Accuracy comparison across face recognition algorithms: Where are we on measuring race bias?
• [cs.CV]Action Genome: Actions as Composition of Spatio-temporal Scene Graphs
• [cs.CV]Asymmetric Generative Adversarial Networks for Image-to-Image Translation
• [cs.CV]BatVision: Learning to See 3D Spatial Layout with Two Ears
• [cs.CV]Brain-Inspired Inference on Missing Video Sequence
• [cs.CV]C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds
• [cs.CV]Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks
• [cs.CV]ConvPoseCNN: Dense Convolutional 6D Object Pose Estimation
• [cs.CV]Deep Poisoning Functions: Towards Robust Privacy-safe Image Data Sharing
• [cs.CV]DeepBiRD: An Automatic Bibliographic Reference Detection Approach
• [cs.CV]DerainCycleGAN: An Attention-guided Unsupervised Benchmark for Single Image Deraining and Rainmaking
• [cs.CV]Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision
• [cs.CV]Digital filters with vanishing moments for shape analysis
• [cs.CV]Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing
• [cs.CV]FISR: Deep Joint Frame Interpolation and Super-Resolution with A Multi-scale Temporal Loss
• [cs.CV]Fast DenseNet: Towards Efficient and Accurate Text Recognition with Fast Dense Networks
• [cs.CV]Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes
• [cs.CV]Fingerprint Synthesis: Search with 100 Million Prints
• [cs.CV]Hierarchical Deep Stereo Matching on High-resolution Images
• [cs.CV]Image Manipulation with Natural Language using Two-sidedAttentive Conditional Generative Adversarial Network
• [cs.CV]Image Processing Using Multi-Code GAN Prior
• [cs.CV]Indiscapes: Instance Segmentation Networks for Layout Parsing of Historical Indic Manuscripts
• [cs.CV]Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection
• [cs.CV]Joint Chromatic and Polarimetric Demosaicing via Sparse Coding
• [cs.CV]Joint Learning of Generative Translator and Classifier for Visually Similar Classes
• [cs.CV]Learning Canonical Representations for Scene Graph to Image Generation
• [cs.CV]Learning a Neural Solver for Multiple Object Tracking
• [cs.CV]MTRNet++: One-stage Mask-based Scene Text Eraser
• [cs.CV]MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation
• [cs.CV]Mimetics: Towards Understanding Human Actions Out of Context
• [cs.CV]PixelRL: Fully Convolutional Network with Reinforcement Learning for Image Processing
• [cs.CV]Pneumothorax Segmentation: Deep Learning Image Segmentation to predict Pneumothorax
• [cs.CV]Predicting the Future: A Jointly Learnt Model for Action Anticipation
• [cs.CV]Progressive Learning Algorithm for Efficient Person Re-Identification
• [cs.CV]RGait-NET: An Effective Network for Recovering Missing Information from Occluded Gait Cycles
• [cs.CV]Region and Object based Panoptic Image Synthesis through Conditional GANs
• [cs.CV]SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
• [cs.CV]Semantic Segmentation for Compound figures
• [cs.CV]Semantic-Aware Label Placement for Augmented Reality in Street View
• [cs.CV]Sensor-Independent Illumination Estimation for DNN Models
• [cs.CV]Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks
• [cs.CV]The Liar’s Walk: Detecting Deception with Gait and Gesture
• [cs.CV]Towards Building a Real Time Mobile Device Bird Counting System Through Synthetic Data Training and Model Compression
• [cs.CV]Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing
• [cs.CV]Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos
• [cs.CV]Transductive Zero-Shot Learning for 3D Point Cloud Classification
• [cs.CV]What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance
• [cs.CY]Algorithmic Injustices: Towards a Relational Ethics
• [cs.CY]Algorithms that “Don’t See Color”: Comparing Biases in Lookalike and Special Ad Audiences
• [cs.DC]A decentralized algorithm for network node counting
• [cs.DC]A flexible FPGA accelerator for convolutional neural networks
• [cs.DC]Cyber Physical Systems (CPS) Surveillance Using An Epidemic Model
• [cs.DC]Decentralized Runtime Verification for LTL Properties Using Global
• [cs.DC]Leader selection in Vehicular Ad-hoc Network: a Proactive Approach
• [cs.DC]Optimal Multi-Level Interval-based Checkpointing for Exascale Stream Processing Systems
• [cs.DL]Hunting for supernovae articles in the universe of scientometrics
• [cs.HC]Breaking Speech Recognizers to Imagine Lyrics
• [cs.IR]Global and country-specific mainstreaminess measures: Definitions, analysis, and usage for improving personalized music recommendation systems
• [cs.IR]Knowledge-based Conversational Search
• [cs.IR]Seq2seq Translation Model for Sequential Recommendation
• [cs.IT]CRC selection for decoding of CRC-polar concatenated codes
• [cs.IT]Coalitional Game Framework for Content Distribution Using Device-to-device Communication
• [cs.IT]Comments and Corrections to “Capacity of Multiple-Antenna Systems With Both Receiver and Transmitter Channel State Information”
• [cs.IT]Dynamic Metasurface Antennas for MIMO-OFDM Receivers with Bit-Limited ADCs
• [cs.IT]Hierarchical Coded Matrix Multiplication
• [cs.IT]ITENE: Intrinsic Transfer Entropy Neural Estimator
• [cs.IT]Improving Conversation Quality for VoIP Through Block Erasure Coding
• [cs.IT]Joint Beamforming, User Association, and Power Control for Cellular-Enabled UAV Communications
• [cs.IT]Minimizing Age of Information for Real-Time Monitoring in Resource-Constrained Industrial IoT Networks
• [cs.IT]Multi-User Opportunistic Beamforming using Reconfigurable Surfaces
• [cs.IT]Optimal Wireless Caching with Placement Cost
• [cs.IT]Propagation Modeling and Analysis of Reconfigurable Intelligent Surfaces for Indoor and Outdoor Applications in 6G Wireless Systems
• [cs.IT]Prospect Theory for Human-Centric Communications
• [cs.IT]Relaxed Wyner’s Common Information
• [cs.IT]Study of Adaptive Activity-Aware Constellation List-Based Detection for Massive Machine-Type Communications
• [cs.IT]Training for Channel Estimation in Nonlinear Multi-Antenna Transceivers
• [cs.IT]UAV-to-UAV Communications in Cellular Networks
• [cs.LG]A Deep Neural Network’s Loss Surface Contains Every Low-dimensional Pattern
• [cs.LG]Adapting Behaviour for Learning Progress
• [cs.LG]Attending Form and Context to Generate Specialized Out-of-VocabularyWords Representations
• [cs.LG]Bayesian Linear Regression on Deep Representations
• [cs.LG]Breast Cancer Diagnosis by Higher-Order Probabilistic Perceptrons
• [cs.LG]Constructing a provably adversarially-robust classifier from a high accuracy one
• [cs.LG]Cross-Batch Memory for Embedding Learning
• [cs.LG]DAmageNet: A Universal Adversarial Dataset
• [cs.LG]Disentanglement based Active Learning
• [cs.LG]Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model
• [cs.LG]Integral Mixabilty: a Tool for Efficient Online Aggregation of Functional and Probabilistic Forecasts
• [cs.LG]Latent Complete Row Space Recovery for Multi-view Subspace Clustering
• [cs.LG]Multi-stream Data Analytics for Enhanced Performance Prediction in Fantasy Football
• [cs.LG]Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator
• [cs.LG]Network of Evolvable Neural Units: Evolving to Learn at a Synaptic Level
• [cs.LG]On the Apparent Conflict Between Individual and Group Fairness
• [cs.LG]On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration
• [cs.LG]Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter
• [cs.LG]Planning with Abstract Learned Models While Learning Transferable Subtasks
• [cs.LG]Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning
• [cs.LG]Predictive Precompute with Recurrent Neural Networks
• [cs.LG]Private Federated Learning with Domain Adaptation
• [cs.LG]Realization of spatial sparseness by deep ReLU nets with massive data
• [cs.LG]Regularizing Deep Multi-Task Networks using Orthogonal Gradients
• [cs.LG]Self-Play Learning Without a Reward Metric
• [cs.LG]Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data
• [cs.LG]Sepsis World Model: A MIMIC-based OpenAI Gym “World Model” Simulator for Sepsis Treatment
• [cs.LG]Training Deep Learning models with small datasets
• [cs.LG]VLSI Mask Optimization: From Shallow To Deep Learning
• [cs.LG]VarNet: Variational Neural Networks for the Solution of Partial Differential Equations
• [cs.MA]Resolving Congestions in the Air Traffic Management Domain via Multiagent Reinforcement Learning Methods
• [cs.MA]Spatial Influence-aware Reinforcement Learning for Intelligent Transportation System
• [cs.NE]Faster and Simpler SNN Simulation with Work Queues
• [cs.NE]Multi-Objective Evolutionary Algorithms platform with support for flexible hybridization tools
• [cs.RO]A Multimodal, Enveloping Soft Gripper: Shape Conformation, Bioinspired Adhesion, and Expansion-Driven Suction
• [cs.RO]Active Object Tracking using Context Estimation: Handling Occlusions and Detecting Missing Targets
• [cs.RO]Aggressive Online Control of a Quadrotor via Deep Network Representations of Optimality Principles
• [cs.RO]Analysis and Control of Fiber-Reinforced Elastomeric Enclosures (FREEs)
• [cs.RO]Bounded haptic teleoperation of a quadruped robot’s foot posture for sensing and manipulation
• [cs.RO]Deep Context Map: Agent Trajectory Prediction using Location-specific Latent Maps
• [cs.RO]Follow Pedro! An Infrared-based Person-Follower using Nonlinear Optimization
• [cs.RO]Local Parametric Surface Approximation With Automatic Order Selection From Position Data
• [cs.RO]Multi-Object Rearrangement with Monte Carlo Tree Search:A Case Study on Planar Nonprehensile Sorting
• [cs.RO]PODDP: Partially Observable Differential Dynamic Programming for Latent Belief Space Planning
• [cs.RO]Perception-aware Autonomous Mast Motion Planning for Planetary Exploration Rovers
• [cs.RO]RoboCup 2019 AdultSize Winner NimbRo: Deep Learning Perception, In-Walk Kick, Push Recovery, and Team Play Capabilities
• [cs.SI]Evaluating the Vulnerability of Communities in Social Networks by Gravity Model
• [cs.SI]Following the footsteps of giants: Modeling the mobility of historically notable individuals using Wikipedia
• [cs.SI]Fractional dynamics on directed networks
• [cs.SI]REM beyond dyads: relational hyperevent models for multi-actor interaction networks
• [cs.SI]Recruiting Hay to Find Needles: Recursive Incentives and Innovation in Social Networks
• [econ.EM]Estimation and HAC-based Inference for Machine Learning Time Series Regressions
• [econ.EM]Estimation of Auction Models with Shape Restrictions
• [eess.AS]Voice Transformer Network: Sequence-to-Sequence Voice Conversion Using Transformer with Text-to-Speech Pretraining
• [eess.IV]Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms
• [eess.IV]Domain Knowledge Based Brain Tumor Segmentation and Overall Survival Prediction
• [eess.IV]PolSF: PolSAR image dataset on San Francisco
• [eess.IV]Robust Automated Thalamic Nuclei Segmentation using a Multi-planar Cascaded Convolutional Neural Network
• [eess.IV]Single Image Deraining: From Model-Based to Data-Driven and Beyond
• [eess.IV]Subjective Quality Assessment of Ground-based Camera Images
• [eess.IV]Zoom in to where it matters: a hierarchical graph based model for mammogram analysis
• [eess.SP]A novel spike-and-wave automatic detection in EEG signals
• [eess.SP]Efficient Error-Tolerant Quantized Neural Network Accelerators
• [eess.SP]Path Loss in Reconfigurable Intelligent Surface-Enabled Channels
• [eess.SP]Stochastic Modeling of Beam Management in mmWave Vehicular Networks
• [math.CO]Infinite families of $2$-designs from a class of linear codes related to Dembowski-Ostrom functions
• [math.DS]Dynamical systems’ models for the prediction of multi-variable time series. Wikipedia’s traffic example
• [math.DS]Shortest distance between multiple orbits and generalized fractal dimensions
• [math.NA]Boosted optimal weighted least-squares
• [math.OC]Active strict saddles in nonsmooth optimization
• [math.OC]Leveraging Two Reference Functions in Block Bregman Proximal Gradient Descent for Non-convex and Non-Lipschitz Problems
• [math.PR]Extension of Donsker’s Invariance Principle with Incomplete Partial-Sum Process
• [math.PR]Mixing Time Estimation in Ergodic Markov Chains from a Single Trajectory with Contraction Methods
• [math.ST]A new example for a proper scoring rule
• [math.ST]Control variates and Rao-Blackwellization for deterministic sweep Markov chains
• [math.ST]Developing multivariate distributions using Dirichlet generator
• [math.ST]Extremes, extremal index estimation, records, moment problem for the Pseudo-Lindley distribution and applications
• [math.ST]Formal Definitions of Conservative PDFs
• [math.ST]Mean skewness measures
• [math.ST]Spectral analysis and parameter estimation of Gaussian functional time series
• [math.ST]Testing Homogeneity for Normal Mixture Models: Variational Bayes Approach
• [math.ST]Testing of fractional Brownian motion in a noisy environment
• [physics.comp-ph]Parameter-Conditioned Sequential Generative Modeling of Fluid Flows
• [physics.ed-ph]Cooperation is not enough: The role of instructional strategies in cooperative learning in higher education
• [physics.ins-det]Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics
• [q-bio.QM]Deep learning-based survival prediction for multiple cancer types using histopathology images
• [q-fin.PR]Robustness and sensitivity analyses for stochastic volatility models under uncertain data structure
• [quant-ph]Noise-Assisted Variational Hybrid Quantum-Classical Optimization
• [stat.AP]Function-on-Function Regression for the Identification of Epigenetic Regions Exhibiting Windows of Susceptibility to Environmental Exposures
• [stat.AP]Implications for HIV elimination by 2030 of recent trends in undiagnosed infection in England: an evidence synthesis
• [stat.AP]Modeling the marked presence-only data: a case study of estimating the female sex worker size in Malawi
• [stat.AP]Monotone function estimation in the presence of extreme data coarsening: Analysis of preeclampsia and birth weight in urban Uganda
• [stat.AP]Optimization of Model Parameters, Uncertainty Quantification and Experimental Designs for a Global Marine Biogeochemical Model
• [stat.ME]Detecting and Classifying Outliers in Big Functional Data
• [stat.ME]General Finite Sample Inference for Experiments with Examples from Health Care
• [stat.ME]Generalized reliability based on distances
• [stat.ME]On function-on-function regression: Partial least squares approach
• [stat.ME]Prediction Intervals for Synthetic Control Methods
• [stat.ME]Randomized p-values for multiple testing and their application in replicability analysis
• [stat.ME]Statistical significance in high-dimensional linear mixed models
• [stat.ME]Targeting the Uniformly Most Powerful Unbiased Test in Sample Size Reassessment Adaptive Clinical Trials with Deep Learning
• [stat.ME]Using bagged posteriors for robust inference and model criticism
• [stat.ML]A Robust Spectral Clustering Algorithm for Sub-Gaussian Mixture Models with Outliers
• [stat.ML]A Unified Framework for Random Forest Prediction Error Estimation
• [stat.ML]A posteriori Trading-inspired Model-free Time Series Segmentation
• [stat.ML]Applying Deep Learning to Detect Traffic Accidents in Real Time Using Spatiotemporal Sequential Data
• [stat.ML]Estimation and Validation of a Class of Conditional Average Treatment Effects Using Observational Data
• [stat.ML]Fairness Assessment for Artificial Intelligence in Financial Industry
• [stat.ML]Frequentist Consistency of Gaussian Process Regression
• [stat.ML]High dimensional precision medicine from patient-derived xenografts
• [stat.ML]Learning Arbitrary Quantities of Interest from Expensive Black-Box Functions through Bayesian Sequential Optimal Design
• [stat.ML]More Data Can Hurt for Linear Regression: Sample-wise Double Descent
• [stat.ML]On the Generalization Properties of Minimum-norm Solutions for Over-parameterized Neural Network Models
·····································
• [cs.AI]How Should an Agent Practice?
Janarthanan Rajendran, Richard Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh
http://arxiv.org/abs/1912.07045v1
• [cs.AI]Knowledge forest: a novel model to organize knowledge fragments
Qinghua Zheng, Jun Liu, Hongwei Zeng, Zhaotong Guo, Bei Wu, Bifan Wei
http://arxiv.org/abs/1912.06825v1
• [cs.AI]One-Shot Induction of Generalized Logical Concepts via Human Guidance
Mayukh Das, Nandini Ramanan, Janardhan Rao Doppa, Sriraam Natarajan
http://arxiv.org/abs/1912.07060v1
• [cs.AI]Polynomial Rewritings from Expressive Description Logics with Closed Predicates to Variants of Datalog
Shqiponja Ahmetaj, Magdalena Ortiz, Mantas Simkus
http://arxiv.org/abs/1912.07475v1
• [cs.CL]#MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement
Akash Gautam, Puneet Mathur, Rakesh Gosangi, Debanjan Mahata, Ramit Sawhney, Rajiv Ratn Shah
http://arxiv.org/abs/1912.06927v1
• [cs.CL]An Unsupervised Domain-Independent Framework for Automated Detection of Persuasion Tactics in Text
Rahul Radhakrishnan Iyer, Katia Sycara
http://arxiv.org/abs/1912.06745v1
• [cs.CL]Associating Natural Language Comment and Source Code Entities
Sheena Panthaplackel, Milos Gligoric, Raymond J. Mooney, Junyi Jessy Li
http://arxiv.org/abs/1912.06728v1
• [cs.CL]Characterizing the dynamics of learning in repeated reference games
Robert D. Hawkins, Michael C. Frank, Noah D. Goodman
http://arxiv.org/abs/1912.07199v1
• [cs.CL]Computational Induction of Prosodic Structure
Dafydd Gibbon
http://arxiv.org/abs/1912.07050v1
• [cs.CL]Efficient Convolutional Neural Networks for Diacritic Restoration
Sawsan Alqahtani, Ajay Mishra, Mona Diab
http://arxiv.org/abs/1912.06900v1
• [cs.CL]Graph-based Neural Sentence Ordering
Yongjing Yin, Linfeng Song, Jinsong Su, Jiali Zeng, Chulun Zhou, Jiebo Luo
http://arxiv.org/abs/1912.07225v1
• [cs.CL]Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering
Jian Wang, Junhao Liu, Wei Bi, Xiaojiang Liu, Kejing He, Ruifeng Xu, Min Yang
http://arxiv.org/abs/1912.07491v1
• [cs.CL]Integrating Lexical Knowledge in Word Embeddings using Sprinkling and Retrofitting
Aakash Srinivasan, Harshavardhan Kamarthi, Devi Ganesan, Sutanu Chakraborti
http://arxiv.org/abs/1912.06889v1
• [cs.CL]Iterative Dual Domain Adaptation for Neural Machine Translation
Jiali Zeng, Yang Liu, Jinsong Su, Yubin Ge, Yaojie Lu, Yongjing Yin, Jiebo Luo
http://arxiv.org/abs/1912.07239v1
• [cs.CL]LScDC-new large scientific dictionary
Neslihan Suzen, Evgeny M. Mirkes, Alexander N. Gorban
http://arxiv.org/abs/1912.06858v1
• [cs.CL]Long-Term Planning and Situational Awareness in OpenAI Five
Jonathan Raiman, Susan Zhang, Filip Wolski
http://arxiv.org/abs/1912.06721v1
• [cs.CL]Long-length Legal Document Classification
Lulu Wan, George Papageorgiou, Michael Seddon, Mirko Bernardoni
http://arxiv.org/abs/1912.06905v1
• [cs.CL]Multilingual is not enough: BERT for Finnish
Antti Virtanen, Jenna Kanerva, Rami Ilo, Jouni Luoma, Juhani Luotolahti, Tapio Salakoski, Filip Ginter, Sampo Pyysalo
http://arxiv.org/abs/1912.07076v1
• [cs.CL]Neural Network Surgery with Sets
Jonathan Raiman, Susan Zhang, Christy Dennison
http://arxiv.org/abs/1912.06719v1
• [cs.CL]Optimized Tracking of Topic Evolution
Patrick Kiss, Elaheh Momeni
http://arxiv.org/abs/1912.07419v1
• [cs.CL]Predicting detection filters for small footprint open-vocabulary keyword spotting
Theodore Bluche, Thibault Gisselbrecht
http://arxiv.org/abs/1912.07575v1
• [cs.CL]Proppy: A System to Unmask Propaganda in Online News
Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov
http://arxiv.org/abs/1912.06810v1
• [cs.CL]Robust Named Entity Recognition with Truecasing Pretraining
Stephen Mayhew, Nitish Gupta, Dan Roth
http://arxiv.org/abs/1912.07095v1
• [cs.CL]Scale-dependent Relationships in Natural Language
Aakash Sarkar, Marc Howard
http://arxiv.org/abs/1912.07506v1
• [cs.CL]SemEval-2013 Task 2: Sentiment Analysis in Twitter
Preslav Nakov, Zornitsa Kozareva, Alan Ritter, Sara Rosenthal, Veselin Stoyanov, Theresa Wilson
http://arxiv.org/abs/1912.06806v1
• [cs.CL]Semantic Similarity To Improve Question Understanding in a Virtual Patient
Fréjus A. A. Laleye, Antonia Blanié, Antoine Brouquet, Dan Behnamou, Gaël de Chalendar
http://arxiv.org/abs/1912.07421v1
• [cs.CL]Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding
Yuchen Liu, Jiajun Zhang, Hao Xiong, Long Zhou, Zhongjun He, Hua Wu, Haifeng Wang, Chengqing Zong
http://arxiv.org/abs/1912.07240v1
• [cs.CL]Towards Robust Toxic Content Classification
Keita Kurita, Anna Belova, Antonios Anastasopoulos
http://arxiv.org/abs/1912.06872v1
• [cs.CR]Learning Malware Representation based on Execution Sequences
Yi-Ting Huang, Ting-Yi Chen, Yeali S. Sun, Meng Chang Chen
http://arxiv.org/abs/1912.07250v1
• [cs.CR]Scalable Group Secret Key Generation over Wireless Channels
Ufuk Altun, Semiha T. Basaran, Gunes K. Kurt, Enver Ozdemir
http://arxiv.org/abs/1912.07331v1
• [cs.CR]Ten AI Stepping Stones for Cybersecurity
Ricardo Morla
http://arxiv.org/abs/1912.06817v1
• [cs.CV]A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning
Yunhui Guo, Noel C. F. Codella, Leonid Karlinsky, John R. Smith, Tajana Rosing, Rogerio Feris
http://arxiv.org/abs/1912.07200v1
• [cs.CV]A Novel Automation-Assisted Cervical Cancer Reading Method Based on Convolutional Neural Network
Yao Xiang, Wanxin Sun, Changli Pan, Meng Yan, Zhihua Yin, Yixiong Liang
http://arxiv.org/abs/1912.06649v1
• [cs.CV]A Shape Transformation-based Dataset Augmentation Framework for Pedestrian Detection
Zhe Chen, Wanli Ouyang, Tongliang Liu, Dacheng Tao
http://arxiv.org/abs/1912.07010v1
• [cs.CV]Accuracy comparison across face recognition algorithms: Where are we on measuring race bias?
Jacqueline G. Cavazos, P. Jonathon Phillips, Carlos D. Castillo, Alice J. O’Toole
http://arxiv.org/abs/1912.07398v1
• [cs.CV]Action Genome: Actions as Composition of Spatio-temporal Scene Graphs
Jingwei Ji, Ranjay Krishna, Li Fei-Fei, Juan Carlos Niebles
http://arxiv.org/abs/1912.06992v1
• [cs.CV]Asymmetric Generative Adversarial Networks for Image-to-Image Translation
Hao Tang, Dan Xu, Hong Liu, Nicu Sebe
http://arxiv.org/abs/1912.06931v1
• [cs.CV]BatVision: Learning to See 3D Spatial Layout with Two Ears
Jesper Haahr Christensen, Sascha Hornauer, Stella Yu
http://arxiv.org/abs/1912.07011v1
• [cs.CV]Brain-Inspired Inference on Missing Video Sequence
Weimian Li, Baoyang Chen, Wenmin Wang
http://arxiv.org/abs/1912.06980v1
• [cs.CV]C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds
Albert Pumarola, Stefan Popov, Francesc Moreno-Noguer, Vittorio Ferrari
http://arxiv.org/abs/1912.07009v1
• [cs.CV]Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks
Vishnu Sarukkai, Anirudh Jain, Burak Uzkent, Stefano Ermon
http://arxiv.org/abs/1912.06838v1
• [cs.CV]ConvPoseCNN: Dense Convolutional 6D Object Pose Estimation
Catherine Capellen, Max Schwarz, Sven Behnke
http://arxiv.org/abs/1912.07333v1
• [cs.CV]Deep Poisoning Functions: Towards Robust Privacy-safe Image Data Sharing
Hao Guo, Brian Dolhansky, Eric Hsin, Phong Dinh, Song Wang, Cristian Canton Ferrer
http://arxiv.org/abs/1912.06895v1
• [cs.CV]DeepBiRD: An Automatic Bibliographic Reference Detection Approach
Syed Tahseen Raza Rizvi, Andreas Dengel, Sheraz Ahmed
http://arxiv.org/abs/1912.07266v1
• [cs.CV]DerainCycleGAN: An Attention-guided Unsupervised Benchmark for Single Image Deraining and Rainmaking
Yanyan Wei, Zhao Zhang, Jicong Fan, Yang Wang, Shuicheng Yan, Meng Wang
http://arxiv.org/abs/1912.07015v1
• [cs.CV]Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision
Michael Niemeyer, Lars Mescheder, Michael Oechsle, Andreas Geiger
http://arxiv.org/abs/1912.07372v1
• [cs.CV]Digital filters with vanishing moments for shape analysis
Hugh L. Kennedy
http://arxiv.org/abs/1912.07133v1
• [cs.CV]Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing
Suman Saha, Wenhao Xu, Menelaos Kanakis, Stamatios Georgoulis, Yuhua Chen, Danda Pani Paudel, Luc Van Gool
http://arxiv.org/abs/1912.07124v1
• [cs.CV]FISR: Deep Joint Frame Interpolation and Super-Resolution with A Multi-scale Temporal Loss
Soo Ye Kim, Jihyong Oh, Munchurl Kim
http://arxiv.org/abs/1912.07213v1
• [cs.CV]Fast DenseNet: Towards Efficient and Accurate Text Recognition with Fast Dense Networks
Zhao Zhang, Zemin Tang, Yang Wang, Zheng Zhang, Shuicheng Yan, Meng Wang
http://arxiv.org/abs/1912.07016v1
• [cs.CV]Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes
Guolei Sun, Hisham Cholakkal, Salman Khan, Fahad Shahbaz Khan, Ling Shao
http://arxiv.org/abs/1912.06842v1
• [cs.CV]Fingerprint Synthesis: Search with 100 Million Prints
Vishesh Mistry, Joshua J. Engelsma, Anil K. Jain
http://arxiv.org/abs/1912.07195v1
• [cs.CV]Hierarchical Deep Stereo Matching on High-resolution Images
Gengshan Yang, Joshua Manela, Michael Happold, Deva Ramanan
http://arxiv.org/abs/1912.06704v1
• [cs.CV]Image Manipulation with Natural Language using Two-sidedAttentive Conditional Generative Adversarial Network
Dawei Zhu, Aditya Mogadala, Dietrich Klakow
http://arxiv.org/abs/1912.07478v1
• [cs.CV]Image Processing Using Multi-Code GAN Prior
Jinjin Gu, Yujun Shen, Bolei Zhou
http://arxiv.org/abs/1912.07116v1
• [cs.CV]Indiscapes: Instance Segmentation Networks for Layout Parsing of Historical Indic Manuscripts
Abhishek Prusty, Sowmya Aitha, Abhishek Trivedi, Ravi Kiran Sarvadevabhatla
http://arxiv.org/abs/1912.07025v1
• [cs.CV]Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection
Yiyuan Yang, Riqiang Gao, Yucheng Tang, Sanja L. Antic, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
http://arxiv.org/abs/1912.07167v1
• [cs.CV]Joint Chromatic and Polarimetric Demosaicing via Sparse Coding
Sijia Wen, Yinqiang Zheng, Feng Lu, Qinping Zhao
http://arxiv.org/abs/1912.07308v1
• [cs.CV]Joint Learning of Generative Translator and Classifier for Visually Similar Classes
ByungIn Yoo, Tristan Sylvain, Yoshua Bengio, Junmo Kim
http://arxiv.org/abs/1912.06994v1
• [cs.CV]Learning Canonical Representations for Scene Graph to Image Generation
Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson
http://arxiv.org/abs/1912.07414v1
• [cs.CV]Learning a Neural Solver for Multiple Object Tracking
Guillem Brasó, Laura Leal-Taixé
http://arxiv.org/abs/1912.07515v1
• [cs.CV]MTRNet++: One-stage Mask-based Scene Text Eraser
Osman Tursun, Simon Denman, Rui Zeng, Sabesan Sivapalan, Sridha Sridharan, Clinton Fookes
http://arxiv.org/abs/1912.07183v1
• [cs.CV]MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation
Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
http://arxiv.org/abs/1912.07420v1
• [cs.CV]Mimetics: Towards Understanding Human Actions Out of Context
Philippe Weinzaepfel, Grégory Rogez
http://arxiv.org/abs/1912.07249v1
• [cs.CV]PixelRL: Fully Convolutional Network with Reinforcement Learning for Image Processing
Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki
http://arxiv.org/abs/1912.07190v1
• [cs.CV]Pneumothorax Segmentation: Deep Learning Image Segmentation to predict Pneumothorax
Karan Jakhar, Rohit Bajaj, Ruchika Gupta
http://arxiv.org/abs/1912.07329v1
• [cs.CV]Predicting the Future: A Jointly Learnt Model for Action Anticipation
Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes
http://arxiv.org/abs/1912.07148v1
• [cs.CV]Progressive Learning Algorithm for Efficient Person Re-Identification
Zhen Li, Hanyang Shao, Nian Xue, Liang Niu, LiangLiang Cao
http://arxiv.org/abs/1912.07447v1
• [cs.CV]RGait-NET: An Effective Network for Recovering Missing Information from Occluded Gait Cycles
Dhritimaan Das, Ayush Agarwal, Pratik Chattopadhyay, Lipo Wang
http://arxiv.org/abs/1912.06765v1
• [cs.CV]Region and Object based Panoptic Image Synthesis through Conditional GANs
Heng Wang, Donghao Zhang, Yang Song, Heng Huang, Mei Chen, Weidong Cai
http://arxiv.org/abs/1912.06840v1
• [cs.CV]SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
Yue Jiang, Dantong Ji, Zhizhong Han, Matthias Zwicker
http://arxiv.org/abs/1912.07109v1
• [cs.CV]Semantic Segmentation for Compound figures
Weixin Jiang, Eric Schwenker, Maria Chan, Oliver Cossairt
http://arxiv.org/abs/1912.07142v1
• [cs.CV]Semantic-Aware Label Placement for Augmented Reality in Street View
Jianqing Jia, Semir Elezovikj, Heng Fan, Shuojin Yang, Jing Liu, Wei Guo, Chiu C. Tan, Haibin Ling
http://arxiv.org/abs/1912.07105v1
• [cs.CV]Sensor-Independent Illumination Estimation for DNN Models
Mahmoud Afifi, Michael S. Brown
http://arxiv.org/abs/1912.06888v1
• [cs.CV]Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks
Lei Shi, Yifan Zhang, Jian Cheng, Hanqing LU
http://arxiv.org/abs/1912.06971v1
• [cs.CV]The Liar’s Walk: Detecting Deception with Gait and Gesture
Tanmay Randhavane, Uttaran Bhattacharya, Kyra Kapsaskis, Kurt Gray, Aniket Bera, Dinesh Manocha
http://arxiv.org/abs/1912.06874v1
• [cs.CV]Towards Building a Real Time Mobile Device Bird Counting System Through Synthetic Data Training and Model Compression
Runde Yang
http://arxiv.org/abs/1912.07106v1
• [cs.CV]Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing
Vedika Agarwal, Rakshith Shetty, Mario Fritz
http://arxiv.org/abs/1912.07538v1
• [cs.CV]Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos
Congcong Zhu, Hao Liu, Zhenhua Yu, Xuehong Sun
http://arxiv.org/abs/1912.07243v1
• [cs.CV]Transductive Zero-Shot Learning for 3D Point Cloud Classification
Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson
http://arxiv.org/abs/1912.07161v1
• [cs.CV]What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance
Mahmoud Afifi, Michael S Brown
http://arxiv.org/abs/1912.06960v1
• [cs.CY]Algorithmic Injustices: Towards a Relational Ethics
Abeba Birhane, Fred Cummins
http://arxiv.org/abs/1912.07376v1
• [cs.CY]Algorithms that “Don’t See Color”: Comparing Biases in Lookalike and Special Ad Audiences
Piotr Sapiezynski, Avijit Gosh, Levi Kaplan, Alan Mislove, Aaron Rieke
http://arxiv.org/abs/1912.07579v1
• [cs.DC]A decentralized algorithm for network node counting
Arindam Saha, James A. R. Marshall, Andreagiovanni Reina
http://arxiv.org/abs/1912.06802v1
• [cs.DC]A flexible FPGA accelerator for convolutional neural networks
Kingshuk Majumder, Uday Bondhugula
http://arxiv.org/abs/1912.07284v1
• [cs.DC]Cyber Physical Systems (CPS) Surveillance Using An Epidemic Model
Bagula Antoine, Tuyishimire Emmanuel, Ajayi Olasupo
http://arxiv.org/abs/1912.07479v1
• [cs.DC]Decentralized Runtime Verification for LTL Properties Using Global
M. Ali Dorosty, Fathiyeh Faghih, Ehsan Khamespanah
http://arxiv.org/abs/1912.07365v1
• [cs.DC]Leader selection in Vehicular Ad-hoc Network: a Proactive Approach
Rusheng Zhang, Baptiste Jacquemot, Kagan Bakirci, Sacha Bartholme, Killian Kaempf, Baptiste Freydt, Loic Montandon, Shenqi Zhang, Ozan Tonguz
http://arxiv.org/abs/1912.06776v1
• [cs.DC]Optimal Multi-Level Interval-based Checkpointing for Exascale Stream Processing Systems
Sachini Jayasekara, Aaron Harwood, Shanika Karunasekera
http://arxiv.org/abs/1912.07162v1
• [cs.DL]Hunting for supernovae articles in the universe of scientometrics
Dimitrios Katsaros
http://arxiv.org/abs/1912.07090v1
• [cs.HC]Breaking Speech Recognizers to Imagine Lyrics
Jon Gillick, David Bamman
http://arxiv.org/abs/1912.06979v1
• [cs.IR]Global and country-specific mainstreaminess measures: Definitions, analysis, and usage for improving personalized music recommendation systems
Christine Bauer, Markus Schedl
http://arxiv.org/abs/1912.06933v1
• [cs.IR]Knowledge-based Conversational Search
Svitlana Vakulenko
http://arxiv.org/abs/1912.06859v1
• [cs.IR]Seq2seq Translation Model for Sequential Recommendation
Ke Sun, Tieyun Qian
http://arxiv.org/abs/1912.07274v1
• [cs.IT]CRC selection for decoding of CRC-polar concatenated codes
Tsonka Baicheva, Peter Kazakov
http://arxiv.org/abs/1912.07298v1
• [cs.IT]Coalitional Game Framework for Content Distribution Using Device-to-device Communication
Aditya MVS, Chitrarth Shrivastava, Gaurav S. Kasbekar
http://arxiv.org/abs/1912.06975v1
• [cs.IT]Comments and Corrections to “Capacity of Multiple-Antenna Systems With Both Receiver and Transmitter Channel State Information”
Kamal Singh, Chandradeep Singh
http://arxiv.org/abs/1912.07245v1
• [cs.IT]Dynamic Metasurface Antennas for MIMO-OFDM Receivers with Bit-Limited ADCs
Hanqing Wang, Nir Shlezinger, Yonina C. Eldar, Shi Jin, Mohammadreza F. Imani, Insang Yoo, David R. Smith
http://arxiv.org/abs/1912.06917v1
• [cs.IT]Hierarchical Coded Matrix Multiplication
Shahrzad Kiani, Nuwan Ferdinand, Stark C. Draper
http://arxiv.org/abs/1912.06912v1
• [cs.IT]ITENE: Intrinsic Transfer Entropy Neural Estimator
Jingjing Zhang, Osvaldo Simeone, Zoran Cvetkovic, Eugenio Abela, Mark Richardson
http://arxiv.org/abs/1912.07277v1
• [cs.IT]Improving Conversation Quality for VoIP Through Block Erasure Coding
Bobak McCann, Kerry Fendick, Aaron David, Antonio DeSimone, Steven Handy
http://arxiv.org/abs/1912.07476v1
• [cs.IT]Joint Beamforming, User Association, and Power Control for Cellular-Enabled UAV Communications
Jiancao Hou, Yansha Deng, Mohammad Shikh-Bahaei
http://arxiv.org/abs/1912.07112v1
• [cs.IT]Minimizing Age of Information for Real-Time Monitoring in Resource-Constrained Industrial IoT Networks
Qian Wang, He Chen, Yonghui Li, Zhibo Pang, Branka Vucetic
http://arxiv.org/abs/1912.07186v1
• [cs.IT]Multi-User Opportunistic Beamforming using Reconfigurable Surfaces
Qurrat-Ul-Ain Nadeem, Anas Chaaban, Merouane Debbah
http://arxiv.org/abs/1912.07063v1
• [cs.IT]Optimal Wireless Caching with Placement Cost
Yousef AlHassoun, Faisal Alotaibi, Aly El Gamal, Hesham El Gamal
http://arxiv.org/abs/1912.07528v1
• [cs.IT]Propagation Modeling and Analysis of Reconfigurable Intelligent Surfaces for Indoor and Outdoor Applications in 6G Wireless Systems
I. Yildirim, A. Uyrus, E. Basar, I. F. Akyildiz
http://arxiv.org/abs/1912.07350v1
• [cs.IT]Prospect Theory for Human-Centric Communications
Kevin Luo, Shuping Dang, Basem Shihada, Mohamed-Slim Alouini
http://arxiv.org/abs/1912.07219v1
• [cs.IT]Relaxed Wyner’s Common Information
Erixhen Sula, Michael Gastpar
http://arxiv.org/abs/1912.07083v1
• [cs.IT]Study of Adaptive Activity-Aware Constellation List-Based Detection for Massive Machine-Type Communications
R. B. di Renna, R. C. de Lamare
http://arxiv.org/abs/1912.06852v1
• [cs.IT]Training for Channel Estimation in Nonlinear Multi-Antenna Transceivers
Kang Gao, J. Nicholas Laneman, N. J. Estes, Jonathan Chisum, Bertrand Hochwald
http://arxiv.org/abs/1912.06924v1
• [cs.IT]UAV-to-UAV Communications in Cellular Networks
M. Mahdi Azari, Giovanni Geraci, Adrian Garcia-Rodriguez, Sofie Pollin
http://arxiv.org/abs/1912.07534v1
• [cs.LG]A Deep Neural Network’s Loss Surface Contains Every Low-dimensional Pattern
Wojciech Marian Czarnecki, Simon Osindero, Razvan Pascanu, Max Jaderberg
http://arxiv.org/abs/1912.07559v1
• [cs.LG]Adapting Behaviour for Learning Progress
Tom Schaul, Diana Borsa, David Ding, David Szepesvari, Georg Ostrovski, Will Dabney, Simon Osindero
http://arxiv.org/abs/1912.06910v1
• [cs.LG]Attending Form and Context to Generate Specialized Out-of-VocabularyWords Representations
Nicolas Garneau, Jean-Samuel Leboeuf, Yuval Pinter, Luc Lamontagne
http://arxiv.org/abs/1912.06876v1
• [cs.LG]Bayesian Linear Regression on Deep Representations
John Moberg, Lennart Svensson, Juliano Pinto, Henk Wymeersch
http://arxiv.org/abs/1912.06760v1
• [cs.LG]Breast Cancer Diagnosis by Higher-Order Probabilistic Perceptrons
Aditya Cowsik, John W. Clark
http://arxiv.org/abs/1912.06969v1
• [cs.LG]Constructing a provably adversarially-robust classifier from a high accuracy one
Grzegorz Głuch, Rüdiger Urbanke
http://arxiv.org/abs/1912.07561v1
• [cs.LG]Cross-Batch Memory for Embedding Learning
Xun Wang, Haozhi Zhang, Weilin Huang, Matthew R. Scott
http://arxiv.org/abs/1912.06798v1
• [cs.LG]DAmageNet: A Universal Adversarial Dataset
Sizhe Chen, Xiaolin Huang, Zhengbao He, Chengjin Sun
http://arxiv.org/abs/1912.07160v1
• [cs.LG]Disentanglement based Active Learning
Silpa V S, Adarsh K, Sumitra S, Raju K George
http://arxiv.org/abs/1912.07018v1
• [cs.LG]Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model
Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen
http://arxiv.org/abs/1912.06767v1
• [cs.LG]Integral Mixabilty: a Tool for Efficient Online Aggregation of Functional and Probabilistic Forecasts
Alexander Korotin, Vladimir V’yugin, Evgeny Burnaev
http://arxiv.org/abs/1912.07048v1
• [cs.LG]Latent Complete Row Space Recovery for Multi-view Subspace Clustering
Hong Tao, Chenping Hou, Yuhua Qian, Jubo Zhu, Dongyun Yi
http://arxiv.org/abs/1912.07248v1
• [cs.LG]Multi-stream Data Analytics for Enhanced Performance Prediction in Fantasy Football
Nicholas Bonello, Joeran Beel, Seamus Lawless, Jeremy Debattista
http://arxiv.org/abs/1912.07441v1
• [cs.LG]Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator
Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
http://arxiv.org/abs/1912.06875v1
• [cs.LG]Network of Evolvable Neural Units: Evolving to Learn at a Synaptic Level
Paul Bertens, Seong-Whan Lee
http://arxiv.org/abs/1912.07589v1
• [cs.LG]On the Apparent Conflict Between Individual and Group Fairness
Reuben Binns
http://arxiv.org/abs/1912.06883v1
• [cs.LG]On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration
Kanil Patel, William Beluch, Dan Zhang, Michael Pfeiffer, Bin Yang
http://arxiv.org/abs/1912.07458v1
• [cs.LG]Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter
Puja Sahu, Nandyala Hemachandra
http://arxiv.org/abs/1912.06803v1
• [cs.LG]Planning with Abstract Learned Models While Learning Transferable Subtasks
John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek
http://arxiv.org/abs/1912.07544v1
• [cs.LG]Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning
Jicong Fan, Yuqian Zhang, Madeleine Udell
http://arxiv.org/abs/1912.06989v1
• [cs.LG]Predictive Precompute with Recurrent Neural Networks
Hanson Wang, Zehui Wang, Yuanyuan Ma
http://arxiv.org/abs/1912.06779v1
• [cs.LG]Private Federated Learning with Domain Adaptation
Daniel Peterson, Pallika Kanani, Virendra J. Marathe
http://arxiv.org/abs/1912.06733v1
• [cs.LG]Realization of spatial sparseness by deep ReLU nets with massive data
Charles K. Chui, Shao-Bo Lin, Bo Zhang, Ding-Xuan Zhou
http://arxiv.org/abs/1912.07464v1
• [cs.LG]Regularizing Deep Multi-Task Networks using Orthogonal Gradients
Mihai Suteu, Yike Guo
http://arxiv.org/abs/1912.06844v1
• [cs.LG]Self-Play Learning Without a Reward Metric
Dan Schmidt, Nick Moran, Jonathan S. Rosenfeld, Jonathan Rosenthal, Jonathan Yedidia
http://arxiv.org/abs/1912.07557v1
• [cs.LG]Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data
Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
http://arxiv.org/abs/1912.06879v1
• [cs.LG]Sepsis World Model: A MIMIC-based OpenAI Gym “World Model” Simulator for Sepsis Treatment
Amirhossein Kiani, Chris Wang, Angela Xu
http://arxiv.org/abs/1912.07127v1
• [cs.LG]Training Deep Learning models with small datasets
Miguel Romero, Yannet Interian, Timothy Solberg, Gilmer Valdes
http://arxiv.org/abs/1912.06761v1
• [cs.LG]VLSI Mask Optimization: From Shallow To Deep Learning
Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu
http://arxiv.org/abs/1912.07254v1
• [cs.LG]VarNet: Variational Neural Networks for the Solution of Partial Differential Equations
Reza Khodayi-Mehr, Michael M. Zavlanos
http://arxiv.org/abs/1912.07443v1
• [cs.MA]Resolving Congestions in the Air Traffic Management Domain via Multiagent Reinforcement Learning Methods
Theocharis Kravaris, Christos Spatharis, Alevizos Bastas, George A. Vouros, Konstantinos Blekas, Gennady Andrienko, Natalia Andrienko, Jose Manuel Cordero Garcia
http://arxiv.org/abs/1912.06860v1
• [cs.MA]Spatial Influence-aware Reinforcement Learning for Intelligent Transportation System
Wenhang Bao, Xiao-yang Liu
http://arxiv.org/abs/1912.06880v1
• [cs.NE]Faster and Simpler SNN Simulation with Work Queues
Dennis Bautembach, Iason Oikonomidis, Nikolaos Kyriazis, Antonis Argyros
http://arxiv.org/abs/1912.07423v1
• [cs.NE]Multi-Objective Evolutionary Algorithms platform with support for flexible hybridization tools
Michał Idzik
http://arxiv.org/abs/1912.07319v1
• [cs.RO]A Multimodal, Enveloping Soft Gripper: Shape Conformation, Bioinspired Adhesion, and Expansion-Driven Suction
Yufei Hao, Shantonu Biswas, Elliot Hawkes, Tianmiao Wang, Mengjia Zhu, Li Wen, Yon Visell
http://arxiv.org/abs/1912.06753v1
• [cs.RO]Active Object Tracking using Context Estimation: Handling Occlusions and Detecting Missing Targets
Minkyu Kim, Luis Sentis
http://arxiv.org/abs/1912.06754v1
• [cs.RO]Aggressive Online Control of a Quadrotor via Deep Network Representations of Optimality Principles
Shuo Li, Ekin Ozturk, Christophe De Wagter, Guido C. H. E. de Croon, Dario Izzo
http://arxiv.org/abs/1912.07067v1
• [cs.RO]Analysis and Control of Fiber-Reinforced Elastomeric Enclosures (FREEs)
Soheil Habibian
http://arxiv.org/abs/1912.07380v1
• [cs.RO]Bounded haptic teleoperation of a quadruped robot’s foot posture for sensing and manipulation
Guiyang Xin, Joshua Smith, David Rytz, Wouter Wolfslag, Hsiu-Chin Lin, Michael Mistry
http://arxiv.org/abs/1912.07315v1
• [cs.RO]Deep Context Map: Agent Trajectory Prediction using Location-specific Latent Maps
Igor Gilitschenski, Guy Rosman, Arjun Gupta, Sertac Karaman, Daniela Rus
http://arxiv.org/abs/1912.06785v1
• [cs.RO]Follow Pedro! An Infrared-based Person-Follower using Nonlinear Optimization
Pedro Pena, Toffee Albina
http://arxiv.org/abs/1912.06837v1
• [cs.RO]Local Parametric Surface Approximation With Automatic Order Selection From Position Data
Michael R. Walker II
http://arxiv.org/abs/1912.06981v1
• [cs.RO]Multi-Object Rearrangement with Monte Carlo Tree Search:A Case Study on Planar Nonprehensile Sorting
Haoran Song, Joshua A. Haustein, Weihao Yuan, Kaiyu Hang, Michael Yu Wang, Danica Kragic, Johannes A. Stork
http://arxiv.org/abs/1912.07024v1
• [cs.RO]PODDP: Partially Observable Differential Dynamic Programming for Latent Belief Space Planning
Dicong Qiu, Yibiao Zhao, Chris L. Baker
http://arxiv.org/abs/1912.06787v1
• [cs.RO]Perception-aware Autonomous Mast Motion Planning for Planetary Exploration Rovers
Jared Strader, Kyohei Otsu, Ali-akbar Agha-mohammadi
http://arxiv.org/abs/1912.06898v1
• [cs.RO]RoboCup 2019 AdultSize Winner NimbRo: Deep Learning Perception, In-Walk Kick, Push Recovery, and Team Play Capabilities
Diego Rodriguez, Hafez Farazi, Grzegorz Ficht, Dmytro Pavlichenko, Andre Brandenburger, Mojtaba Hosseini, Oleg Kosenko, Michael Schreiber, Marcel Missura, Sven Behnke
http://arxiv.org/abs/1912.07405v1
• [cs.SI]Evaluating the Vulnerability of Communities in Social Networks by Gravity Model
Tao Wen
http://arxiv.org/abs/1912.07293v1
• [cs.SI]Following the footsteps of giants: Modeling the mobility of historically notable individuals using Wikipedia
Lorenzo Lucchini, Sara Tonelli, Bruno Lepri
http://arxiv.org/abs/1912.07551v1
• [cs.SI]Fractional dynamics on directed networks
Michele Benzi, Daniele Bertaccini, Fabio Durastante
http://arxiv.org/abs/1912.07288v1
• [cs.SI]REM beyond dyads: relational hyperevent models for multi-actor interaction networks
Jürgen Lerner, Mark Tranmer, John Mowbray, Marian-Gabriel Hancean
http://arxiv.org/abs/1912.07403v1
• [cs.SI]Recruiting Hay to Find Needles: Recursive Incentives and Innovation in Social Networks
Erik P. Duhaime, Brittany M. Bond, Qi Yang, Patrick de Boer, Thomas W. Malone
http://arxiv.org/abs/1912.06922v1
• [econ.EM]Estimation and HAC-based Inference for Machine Learning Time Series Regressions
Andrii Babii, Eric Ghysels, Jonas Striaukas
http://arxiv.org/abs/1912.06307v1
• [econ.EM]Estimation of Auction Models with Shape Restrictions
Joris Pinkse, Karl Schurter
http://arxiv.org/abs/1912.07466v1
• [eess.AS]Voice Transformer Network: Sequence-to-Sequence Voice Conversion Using Transformer with Text-to-Speech Pretraining
Wen-Chin Huang, Tomoki Hayashi, Yi-Chiao Wu, Hirokazu Kameoka, Tomoki Toda
http://arxiv.org/abs/1912.06813v1
• [eess.IV]Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms
Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mingyi Hong, Mehmet Akçakaya
http://arxiv.org/abs/1912.07197v1
• [eess.IV]Domain Knowledge Based Brain Tumor Segmentation and Overall Survival Prediction
Xiaoqing Guo, Chen Yang, Pak Lun Lam, Peter Y. M. Woo, Yixuan Yuan
http://arxiv.org/abs/1912.07224v1
• [eess.IV]PolSF: PolSAR image dataset on San Francisco
Xu Liu, Licheng Jiao, Fang Liu
http://arxiv.org/abs/1912.07259v1
• [eess.IV]Robust Automated Thalamic Nuclei Segmentation using a Multi-planar Cascaded Convolutional Neural Network
Mohammad S Majdi, Mahesh B Keerthivasan, Brian K Rutt, Natalie M Zahr, Jeffrey J Rodriguez, Manojkumar Saranathan
http://arxiv.org/abs/1912.07209v1
• [eess.IV]Single Image Deraining: From Model-Based to Data-Driven and Beyond
Wenhan Yang, Robby T. Tan, Shiqi Wang, Yuming Fang, Jiaying Liu
http://arxiv.org/abs/1912.07150v1
• [eess.IV]Subjective Quality Assessment of Ground-based Camera Images
Lucie Lévêque, Soumyabrata Dev, Murhaf Hossari, Yee Hui Lee, Stefan Winkler
http://arxiv.org/abs/1912.07192v1
• [eess.IV]Zoom in to where it matters: a hierarchical graph based model for mammogram analysis
Hao Du, Jiashi Feng, Mengling Feng
http://arxiv.org/abs/1912.07517v1
• [eess.SP]A novel spike-and-wave automatic detection in EEG signals
Antonio Quintero-Rincón, Valeria Muro, Carlos D’Giano, Jorge Prendes, Hadj Batatia
http://arxiv.org/abs/1912.07123v1
• [eess.SP]Efficient Error-Tolerant Quantized Neural Network Accelerators
Giulio Gambardella, Johannes Kappauf, Michaela Blott, Christoph Doehring, Martin Kumm, Peter Zipf, Kees Vissers
http://arxiv.org/abs/1912.07394v1
• [eess.SP]Path Loss in Reconfigurable Intelligent Surface-Enabled Channels
Steven W. Ellingson
http://arxiv.org/abs/1912.06759v1
• [eess.SP]Stochastic Modeling of Beam Management in mmWave Vehicular Networks
Somayeh Aghashahi, Samaneh Aghashahi, Zolfa Zeinalpour-Yazdi, Aliakbar Tadaion, Arash Asadi
http://arxiv.org/abs/1912.06830v1
• [math.CO]Infinite families of $2$-designs from a class of linear codes related to Dembowski-Ostrom functions
Rong Wang, Xiaoni Du, Cuiling Fan, Zhihua Niu
http://arxiv.org/abs/1912.07531v1
• [math.DS]Dynamical systems’ models for the prediction of multi-variable time series. Wikipedia’s traffic example
Victoria Rayskin
http://arxiv.org/abs/1912.06939v1
• [math.DS]Shortest distance between multiple orbits and generalized fractal dimensions
Vanessa Barros, Jerome Rousseau
http://arxiv.org/abs/1912.07516v1
• [math.NA]Boosted optimal weighted least-squares
Cécile Haberstich, Anthony Nouy, Guillaume Perrin
http://arxiv.org/abs/1912.07075v1
• [math.OC]Active strict saddles in nonsmooth optimization
Damek Davis, Dmitriy Drusvyatskiy
http://arxiv.org/abs/1912.07146v1
• [math.OC]Leveraging Two Reference Functions in Block Bregman Proximal Gradient Descent for Non-convex and Non-Lipschitz Problems
Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu
http://arxiv.org/abs/1912.07527v1
• [math.PR]Extension of Donsker’s Invariance Principle with Incomplete Partial-Sum Process
Jingwei Liu
http://arxiv.org/abs/1912.07215v1
• [math.PR]Mixing Time Estimation in Ergodic Markov Chains from a Single Trajectory with Contraction Methods
Geoffrey Wolfer
http://arxiv.org/abs/1912.06845v1
• [math.ST]A new example for a proper scoring rule
Matyas Barczy
http://arxiv.org/abs/1912.07572v1
• [math.ST]Control variates and Rao-Blackwellization for deterministic sweep Markov chains
Stephen Berg, Jun Zhu, Murray K. Clayton
http://arxiv.org/abs/1912.06926v1
• [math.ST]Developing multivariate distributions using Dirichlet generator
M. Arashi, A. Bekker, D. de Waal, S. Makgai
http://arxiv.org/abs/1912.07560v1
• [math.ST]Extremes, extremal index estimation, records, moment problem for the Pseudo-Lindley distribution and applications
Gane Samb Lo, Modou Ngom, Moumouni Diallo
http://arxiv.org/abs/1912.06928v1
• [math.ST]Formal Definitions of Conservative PDFs
Shane Lubold, Clark N. Taylor
http://arxiv.org/abs/1912.06780v1
• [math.ST]Mean skewness measures
Chandima N. P. G. Arachchige, Luke A. Prendergast
http://arxiv.org/abs/1912.06996v1
• [math.ST]Spectral analysis and parameter estimation of Gaussian functional time series
M. Dolores Ruiz-Medina
http://arxiv.org/abs/1912.07086v1
• [math.ST]Testing Homogeneity for Normal Mixture Models: Variational Bayes Approach
Natsuki Kariya, Sumio Watanabe
http://arxiv.org/abs/1912.07041v1
• [math.ST]Testing of fractional Brownian motion in a noisy environment
Michal Balcerek, Krzysztof Burnecki
http://arxiv.org/abs/1912.07012v1
• [physics.comp-ph]Parameter-Conditioned Sequential Generative Modeling of Fluid Flows
Jeremy Morton, Freddie D. Witherden, Mykel J. Kochenderfer
http://arxiv.org/abs/1912.06752v1
• [physics.ed-ph]Cooperation is not enough: The role of instructional strategies in cooperative learning in higher education
Javier Pulgar, Cristian Candia, Paul Leonardi
http://arxiv.org/abs/1912.06923v1
• [physics.ins-det]Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics
Dawit Belayneh, Federico Carminati, Amir Farbin, Benjamin Hooberman, Gulrukh Khattak, Miaoyuan Liu, Junze Liu, Dominick Olivito, Vitória Barin Pacela, Maurizio Pierini, Alexander Schwing, Maria Spiropulu, Sofia Vallecorsa, Jean-Roch Vlimant, Wei Wei, Matt Zhang
http://arxiv.org/abs/1912.06794v1
• [q-bio.QM]Deep learning-based survival prediction for multiple cancer types using histopathology images
Ellery Wulczyn, David F. Steiner, Zhaoyang Xu, Apaar Sadhwani, Hongwu Wang, Isabelle Flament, Craig H. Mermel, Po-Hsuan Cameron Chen, Yun Liu, Martin C. Stumpe
http://arxiv.org/abs/1912.07354v1
• [q-fin.PR]Robustness and sensitivity analyses for stochastic volatility models under uncertain data structure
Jan Pospíšil, Tomáš Sobotka, Philipp Ziegler
http://arxiv.org/abs/1912.06709v1
• [quant-ph]Noise-Assisted Variational Hybrid Quantum-Classical Optimization
Laura Gentini, Alessandro Cuccoli, Stefano Pirandola, Paola Verrucchi, Leonardo Banchi
http://arxiv.org/abs/1912.06744v1
• [stat.AP]Function-on-Function Regression for the Identification of Epigenetic Regions Exhibiting Windows of Susceptibility to Environmental Exposures
Michele Zemplenyi, Mark J. Meyer, Andres Cardenas, Marie-France Hivert, Sheryl L. Rifas-Shiman, Heike Gibson, Itai Kloog, Joel Schwartz, Emily Oken, Dawn L. DeMeo, Diane R. Gold, Brent A. Coull
http://arxiv.org/abs/1912.07359v1
• [stat.AP]Implications for HIV elimination by 2030 of recent trends in undiagnosed infection in England: an evidence synthesis
Anne M Presanis, Peter Kirwan, Ada Miltz, Sara Croxford, Ross Harris, Ellen Heinsbroek, Chris Jackson, Hamish Mohammed, Alison Brown, Valerie Delpech, O Noel Gill, Daniela De Angelis
http://arxiv.org/abs/1912.07310v1
• [stat.AP]Modeling the marked presence-only data: a case study of estimating the female sex worker size in Malawi
Ian Laga, Le Bao, Xiaoyue Niu
http://arxiv.org/abs/1912.07099v1
• [stat.AP]Monotone function estimation in the presence of extreme data coarsening: Analysis of preeclampsia and birth weight in urban Uganda
Jennifer E. Starling, Catherine E. Aiken, Jared S. Murray, Annettee Nakimuli, James G. Scott
http://arxiv.org/abs/1912.06946v1
• [stat.AP]Optimization of Model Parameters, Uncertainty Quantification and Experimental Designs for a Global Marine Biogeochemical Model
Joscha Reimer
http://arxiv.org/abs/1912.07412v1
• [stat.ME]Detecting and Classifying Outliers in Big Functional Data
Oluwasegun Taiwo Ojo, Antonio Fernandez Anta, Rosa E. Lillo, Carlo Sguera
http://arxiv.org/abs/1912.07287v1
• [stat.ME]General Finite Sample Inference for Experiments with Examples from Health Care
Amanda Kowalski
http://arxiv.org/abs/1912.06739v1
• [stat.ME]Generalized reliability based on distances
Meng Xu, Philip T. Reiss, Ivor Cribben
http://arxiv.org/abs/1912.07137v1
• [stat.ME]On function-on-function regression: Partial least squares approach
Ufuk Beyaztas, Han Lin Shang
http://arxiv.org/abs/1912.06995v1
• [stat.ME]Prediction Intervals for Synthetic Control Methods
Matias D. Cattaneo, Yingjie Feng, Rocio Titiunik
http://arxiv.org/abs/1912.07120v1
• [stat.ME]Randomized p-values for multiple testing and their application in replicability analysis
Anh-Tuan Hoang, Thorsten Dickhaus
http://arxiv.org/abs/1912.06982v1
• [stat.ME]Statistical significance in high-dimensional linear mixed models
Lina Lin, Mathias Drton, Ali Shojaie
http://arxiv.org/abs/1912.07578v1
• [stat.ME]Targeting the Uniformly Most Powerful Unbiased Test in Sample Size Reassessment Adaptive Clinical Trials with Deep Learning
Tianyu Zhan, Jian Kang
http://arxiv.org/abs/1912.07433v1
• [stat.ME]Using bagged posteriors for robust inference and model criticism
Jonathan H. Huggins, Jeffrey W. Miller
http://arxiv.org/abs/1912.07104v1
• [stat.ML]A Robust Spectral Clustering Algorithm for Sub-Gaussian Mixture Models with Outliers
Prateek R. Srivastava, Purnamrita Sarkar, Grani A. Hanasusanto
http://arxiv.org/abs/1912.07546v1
• [stat.ML]A Unified Framework for Random Forest Prediction Error Estimation
Benjamin Lu, Johanna Hardin
http://arxiv.org/abs/1912.07435v1
• [stat.ML]A posteriori Trading-inspired Model-free Time Series Segmentation
Mogens Graf Plessen
http://arxiv.org/abs/1912.06708v1
• [stat.ML]Applying Deep Learning to Detect Traffic Accidents in Real Time Using Spatiotemporal Sequential Data
Amir Bahador Parsa, Rishabh Singh Chauhan, Homa Taghipour, Sybil Derrible, Abolfazl, Mohammadian
http://arxiv.org/abs/1912.06991v1
• [stat.ML]Estimation and Validation of a Class of Conditional Average Treatment Effects Using Observational Data
Steve Yadlowsky, Fabio Pellegrini, Federica Lionetto, Stefan Braune, Lu Tian
http://arxiv.org/abs/1912.06977v1
• [stat.ML]Fairness Assessment for Artificial Intelligence in Financial Industry
Yukun Zhang, Longsheng Zhou
http://arxiv.org/abs/1912.07211v1
• [stat.ML]Frequentist Consistency of Gaussian Process Regression
Valeriy Avanesov
http://arxiv.org/abs/1912.06689v1
• [stat.ML]High dimensional precision medicine from patient-derived xenografts
Naim U. Rashid, Daniel J. Luckett, Jingxiang Chen, Michael T. Lawson, Longshaokan Wang, Yunshu Zhang, Eric B. Laber, Yufeng Liu, Jen Jen Yeh, Donglin Zeng, Michael R. Kosorok
http://arxiv.org/abs/1912.06667v1
• [stat.ML]Learning Arbitrary Quantities of Interest from Expensive Black-Box Functions through Bayesian Sequential Optimal Design
Piyush Pandita, Nimish Awalgaonkar, Ilias Bilionis, Jitesh Panchal
http://arxiv.org/abs/1912.07366v1
• [stat.ML]More Data Can Hurt for Linear Regression: Sample-wise Double Descent
Preetum Nakkiran
http://arxiv.org/abs/1912.07242v1
• [stat.ML]On the Generalization Properties of Minimum-norm Solutions for Over-parameterized Neural Network Models
Weinan E, Chao Ma, Lei Wu
http://arxiv.org/abs/1912.06987v1