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