cond-mat.dis-nn - 无序系统与神经网络

    cs.AI - 人工智能 cs.CL - 计算与语言 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DM - 离散数学 cs.ET - 新兴技术 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.CO - 组合数学 math.NT - 数论 math.ST - 统计理论 physics.app-ph - 应用物理 physics.data-an - 数据分析、 统计和概率 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.dis-nn]Biologically Plausible Sequence Learning with Spiking Neural Networks
    • [cs.AI]Combined Model for Partially-Observable and Non-Observable Task Switching:Solving Hierarchical Reinforcement Learning Problems
    • [cs.AI]End-to-End Trainable Non-Collaborative Dialog System
    • [cs.AI]Fair in the Eyes of Others
    • [cs.AI]Greedy Algorithms for Fair Division of Mixed Manna
    • [cs.AI]Multi-Agent Game Abstraction via Graph Attention Neural Network
    • [cs.AI]Neural Storyboard Artist: Visualizing Stories with Coherent Image Sequences
    • [cs.AI]Which Channel to Ask My Question? Personalized Customer Service RequestStream Routing using DeepReinforcement Learning
    • [cs.CL]A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations
    • [cs.CL]A Transformer-based approach to Irony and Sarcasm detection
    • [cs.CL]Causally Denoise Word Embeddings Using Half-Sibling Regression
    • [cs.CL]Chinese Spelling Error Detection Using a Fusion Lattice LSTM
    • [cs.CL]Controlling the Amount of Verbatim Copying in Abstractive Summarization
    • [cs.CL]Conversational implicatures in English dialogue: Annotated dataset
    • [cs.CL]CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning
    • [cs.CL]Corpus Wide Argument Mining — a Working Solution
    • [cs.CL]Discourse Level Factors for Sentence Deletion in Text Simplification
    • [cs.CL]Discovering topics with neural topic models built from PLSA assumptions
    • [cs.CL]Enhancing Out-Of-Domain Utterance Detection with Data Augmentation Based on Word Embeddings
    • [cs.CL]Filling Conversation Ellipsis for Better Social Dialog Understanding
    • [cs.CL]Financial Event Extraction Using Wikipedia-Based Weak Supervision
    • [cs.CL]Improving N-gram Language Models with Pre-trained Deep Transformer
    • [cs.CL]JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus
    • [cs.CL]Joint Parsing and Generation for Abstractive Summarization
    • [cs.CL]Korean-to-Chinese Machine Translation using Chinese Character as Pivot Clue
    • [cs.CL]Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
    • [cs.CL]Learning to Reuse Translations: Guiding Neural Machine Translation with Examples
    • [cs.CL]Non-autoregressive Transformer by Position Learning
    • [cs.CL]Outbound Translation User Interface Ptakopet: A Pilot Study
    • [cs.CL]SWift — A SignWriting improved fast transcriber
    • [cs.CL]ScienceExamCER: A High-Density Fine-Grained Science-Domain Corpus for Common Entity Recognition
    • [cs.CL]SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals
    • [cs.CL]SemEval-2013 Task 4: Free Paraphrases of Noun Compounds
    • [cs.CL]Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
    • [cs.CL]The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service
    • [cs.CL]Towards robust word embeddings for noisy texts
    • [cs.CL]Unsupervised Domain Adaptation of Language Models for Reading Comprehension
    • [cs.CL]When is ACL’s Deadline? A Scientific Conversational Agent
    • [cs.CL]Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer
    • [cs.CL]hauWE: Hausa Words Embedding for Natural Language Processing
    • [cs.CV]”Looking at the right stuff” — Guided semantic-gaze for autonomous driving
    • [cs.CV]2D Wasserstein Loss for Robust Facial Landmark Detection
    • [cs.CV]3FabRec: Fast Few-shot Face alignment by Reconstruction
    • [cs.CV]A Benchmark for Anomaly Segmentation
    • [cs.CV]A Proposal-based Approach for Activity Image-to-Video Retrieval
    • [cs.CV]AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis
    • [cs.CV]Appearance Composing GAN: A General Method for Appearance-Controllable Human Video Motion Transfer
    • [cs.CV]Atlas Based Segmentations via Semi-Supervised Diffeomorphic Registrations
    • [cs.CV]AttKGCN: Attribute Knowledge Graph Convolutional Network for Person Re-identification
    • [cs.CV]Attention Deep Model with Multi-Scale Deep Supervision for Person Re-Identification
    • [cs.CV]Binarized Neural Architecture Search
    • [cs.CV]Breaking the cycle — Colleagues are all you need
    • [cs.CV]Cascaded Detail-Preserving Networks for Super-Resolution of Document Images
    • [cs.CV]ColorFool: Semantic Adversarial Colorization
    • [cs.CV]Constrained Linear Data-feature Mapping for Image Classification
    • [cs.CV]Controllable List-wise Ranking for Universal No-reference Image Quality Assessment
    • [cs.CV]Deep Decomposition Learning for Inverse Imaging Problems
    • [cs.CV]Deep Image Deraining Via Intrinsic Rainy Image Priors and Multi-scale Auxiliary Decoding
    • [cs.CV]Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition
    • [cs.CV]Deep Multivariate Mixture of Gaussians for Object Detection under Occlusion
    • [cs.CV]Deep Visual Waterline Detection within Inland Marine Environment
    • [cs.CV]Differentiable Meta-learning Model for Few-shot Semantic Segmentation
    • [cs.CV]EDIT: Exemplar-Domain Aware Image-to-Image Translation
    • [cs.CV]Empirical Study of Easy and Hard Examples in CNN Training
    • [cs.CV]Estimating People Flows to Better Count them in Crowded Scenes
    • [cs.CV]Event Recognition with Automatic Album Detection based on Sequential Processing, Neural Attention and Image Captioning
    • [cs.CV]Explaining Neural Networks via Perturbing Important Learned Features
    • [cs.CV]Exploiting Operation Importance for Differentiable Neural Architecture Search
    • [cs.CV]Facial Landmark Correlation Analysis
    • [cs.CV]Fast and Generalized Adaptation for Few-Shot Learning
    • [cs.CV]Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution
    • [cs.CV]Forecasting Human Object Interaction: Joint Prediction of Motor Attention and Egocentric Activity
    • [cs.CV]Gating Revisited: Deep Multi-layer RNNs That Can Be Trained
    • [cs.CV]Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation
    • [cs.CV]Image Cropping with Composition and Saliency Aware Aesthetic Score Map
    • [cs.CV]Image-based table recognition: data, model, and evaluation
    • [cs.CV]Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning
    • [cs.CV]Inverse-Transform AutoEncoder for Anomaly Detection
    • [cs.CV]Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference
    • [cs.CV]Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning
    • [cs.CV]Learning New Tricks from Old Dogs — Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment
    • [cs.CV]Learning a Representation with the Block-Diagonal Structure for Pattern Classification
    • [cs.CV]Microscopy Image Restoration with Deep Wiener-Kolmogorov filters
    • [cs.CV]Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning
    • [cs.CV]Nearest Neighbor Sampling of Point Sets using Random Rays
    • [cs.CV]Normal Assisted Stereo Depth Estimation
    • [cs.CV]PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes
    • [cs.CV]Phase Contrast Microscopy Cell PopulationSegmentation: A Survey
    • [cs.CV]Pixel Adaptive Filtering Units
    • [cs.CV]PlantDoc: A Dataset for Visual Plant Disease Detection
    • [cs.CV]Point Cloud Processing via Recurrent Set Encoding
    • [cs.CV]Prototype Rectification for Few-Shot Learning
    • [cs.CV]Pyramid Vector Quantization and Bit Level Sparsity in Weights for Efficient Neural Networks Inference
    • [cs.CV]Radius Adaptive Convolutional Neural Network
    • [cs.CV]Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core
    • [cs.CV]Reducing the Human Effort in Developing PET-CT Registration
    • [cs.CV]Region Normalization for Image Inpainting
    • [cs.CV]Regularized Fine-grained Meta Face Anti-spoofing
    • [cs.CV]Reinventing 2D Convolutions for 3D Medical Images
    • [cs.CV]Robustness Metrics for Real-World Adversarial Examples
    • [cs.CV]SAL: Sign Agnostic Learning of Shapes from Raw Data
    • [cs.CV]Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
    • [cs.CV]Simple and Lightweight Human Pose Estimation
    • [cs.CV]StructEdit: Learning Structural Shape Variations
    • [cs.CV]Sub-frame Appearance and 6D Pose Estimation of Fast Moving Objects
    • [cs.CV]Two Causal Principles for Improving Visual Dialog
    • [cs.CV]Universal Adversarial Perturbations to Understand Robustness of Texture vs. Shape-biased Training
    • [cs.CV]Unsupervised Keyword Extraction for Full-sentence VQA
    • [cs.CV]Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
    • [cs.CV]Unsupervised Neural Sensor Models for Synthetic LiDAR Data Augmentation
    • [cs.CV]Using panoramic videos for multi-person localization and tracking in a 3D panoramic coordinate
    • [cs.CV]ViewSynth: Learning Local Features from Depth using View Synthesis
    • [cs.CV]Visualizing Point Cloud Classifiers by Curvature Smoothing
    • [cs.CY]Computing with CodeRunner at Coventry University: Automated summative assessment of Python and C++ code
    • [cs.CY]Detecting Unknown Behaviors by Pre-defined Behaviours: An Bayesian Non-parametric Approach
    • [cs.CY]First Year Computer Science Projects at Coventry University: Activity-led integrative team projects with continuous assessment
    • [cs.DC]ACE: Abstract Consensus Encapsulation for Liveness Boosting of State Machine Replication
    • [cs.DC]No Need for Recovery: A Simple Two-Step Byzantine Consensus
    • [cs.DC]Predicting Failures in Multi-Tier Distributed Systems
    • [cs.DC]Using Surrogate Models and Data Assimilation for Efficient Mobile Simulations
    • [cs.DM]Oriented Diameter of Star Graphs
    • [cs.ET]Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip
    • [cs.IR]An End-to-End Framework for Cold Question Routing in Community Question Answering Services
    • [cs.IR]FLATM: A Fuzzy Logic Approach Topic Model for Medical Documents
    • [cs.IR]SWAG: Item Recommendations using Convolutions on Weighted Graphs
    • [cs.IT]Construction of optimal Hermitian self-dual codes from unitary matrices
    • [cs.IT]Delay-Complexity Trade-off of Random Linear Network Coding in Wireless Broadcast
    • [cs.IT]Negligible Cooperation: Contrasting the Maximal- and Average-Error Cases
    • [cs.IT]OFDM-Based Optical Spatial Modulation
    • [cs.IT]Performance of Multi-Cell Massive MIMO Systems With Interference Decoding
    • [cs.IT]Secure Sketch for All Noisy Sources
    • [cs.IT]Specific Absorption Rate-Aware Beamforming in MISO Downlink SWIPT Systems
    • [cs.LG]A Deep Reinforcement Learning Architecture for Multi-stage Optimal Control
    • [cs.LG]A Domain Adaptive Density Clustering Algorithm for Data with Varying Density Distribution
    • [cs.LG]A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification
    • [cs.LG]A Unified Deep Learning Approach for Prediction of Parkinson’s Disease
    • [cs.LG]Adversarial Attack with Pattern Replacement
    • [cs.LG]AnoNet: Weakly Supervised Anomaly Detection in Textured Surfaces
    • [cs.LG]Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder
    • [cs.LG]Automatic Ensemble Learning for Online Influence Maximization
    • [cs.LG]Bounding Singular Values of Convolution Layers
    • [cs.LG]Bridging Disentanglement with Independence and Conditional Independence via Mutual Information for Representation Learning
    • [cs.LG]CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators
    • [cs.LG]Causality for Machine Learning
    • [cs.LG]Compressing Representations for Embedded Deep Learning
    • [cs.LG]CoverNet: Multimodal Behavior Prediction using Trajectory Sets
    • [cs.LG]DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles
    • [cs.LG]Deep Ordinal Classification with Inequality Constraints
    • [cs.LG]DeepSmartFuzzer: Reward Guided Test Generation For Deep Learning
    • [cs.LG]DeepSynth: Program Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning
    • [cs.LG]Discriminative training of conditional random fields with probably submodular constraints
    • [cs.LG]Disentangled Cumulants Help Successor Representations Transfer to New Tasks
    • [cs.LG]Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment
    • [cs.LG]Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families
    • [cs.LG]Efficient Global String Kernel with Random Features: Beyond Counting Substructures
    • [cs.LG]End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances
    • [cs.LG]Failure Modes in Machine Learning Systems
    • [cs.LG]Fast Polynomial Kernel Classification for Massive Data
    • [cs.LG]GRASPEL: Graph Spectral Learning at Scale
    • [cs.LG]Improving VAE generations of multimodal data through data-dependent conditional priors
    • [cs.LG]Intermittent Demand Forecasting with Deep Renewal Processes
    • [cs.LG]Invert to Learn to Invert
    • [cs.LG]Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values
    • [cs.LG]KerGM: Kernelized Graph Matching
    • [cs.LG]Latent space conditioning for improved classification and anomaly detection
    • [cs.LG]Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems
    • [cs.LG]Making Learners (More) Monotone
    • [cs.LG]Matrix Normal PCA for Interpretable Dimension Reduction and Graphical Noise Modeling
    • [cs.LG]Merging Deterministic Policy Gradient Estimations with Varied Bias-Variance Tradeoff for Effective Deep Reinforcement Learning
    • [cs.LG]Meta Adaptation using Importance Weighted Demonstrations
    • [cs.LG]Meta-Learning of Neural Architectures for Few-Shot Learning
    • [cs.LG]Minimax Optimal Algorithms for Adversarial Bandit Problem with Multiple Plays
    • [cs.LG]Modelling of Sickle Cell Anemia Patients Response to Hydroxyurea using Artificial Neural Networks
    • [cs.LG]Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
    • [cs.LG]Multi-Component Graph Convolutional Collaborative Filtering
    • [cs.LG]Neural Integration of Continuous Dynamics
    • [cs.LG]Neural Random Forest Imitation
    • [cs.LG]ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems
    • [cs.LG]PAC learning with stable and private predictions
    • [cs.LG]Projective Quadratic Regression for Online Learning
    • [cs.LG]ROIPCA: An Online PCA algorithm based on rank-one updates
    • [cs.LG]Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator
    • [cs.LG]Rigging the Lottery: Making All Tickets Winners
    • [cs.LG]Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding
    • [cs.LG]Scaling active inference
    • [cs.LG]Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
    • [cs.LG]Stage-based Hyper-parameter Optimization for Deep Learning
    • [cs.LG]Towards a Hypothesis on Visual Transformation based Self-Supervision
    • [cs.LG]Training Modern Deep Neural Networks for Memory-Fault Robustness
    • [cs.LG]Weighted Laplacian and Its Theoretical Applications
    • [cs.LG]When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
    • [cs.LG]dpVAEs: Fixing Sample Generation for Regularized VAEs
    • [cs.LO]Checking Chase Termination over Ontologies of Existential Rules with Equality
    • [cs.LO]On the Mathematical Structure of Cascade Effects and Emergent Phenomena
    • [cs.RO]Design and Experiments with a Robot-Driven Underwater Holographic Microscope for Low-Cost In Situ Particle Measurements
    • [cs.RO]Fast and Incremental Loop Closure Detection Using Proximity Graphs
    • [cs.RO]Low Cost 3D Printing for Rapid Prototyping and its Application
    • [cs.RO]Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection
    • [cs.RO]Prioritized Multi-agent Path Finding for Differential Drive Robots
    • [cs.RO]Robot Learning and Execution of Collaborative Manipulation Plans from YouTube Videos
    • [cs.RO]Scalable sim-to-real transfer of soft robot designs
    • [cs.RO]The Reconfigurable Aerial Robotic Chain: Shape and Motion Planning
    • [cs.RO]Three Dimensional Route Planning for Multiple Unmanned Aerial Vehicles using Salp Swarm Algorithm
    • [cs.RO]Titan: A Parallel Asynchronous Library for Multi-Agent and Soft-Body Robotics using NVIDIA CUDA
    • [cs.SI]A Measurement of Social Capital in an Open Source Software Project
    • [cs.SI]Co-contributorship Network and Division of Labor in Individual Scientific Collaborations
    • [cs.SI]Do you trade with your friends or become friends with your trading partners? A case study in the G1 cryptocurrency
    • [cs.SI]Efficiently Counting Vertex Orbits of All 5-vertex Subgraphs, by EVOKE
    • [cs.SI]Time-aware Gradient Attack on Dynamic Network Link Prediction
    • [cs.SI]Towards Understanding the Information Ecosystem Through the Lens of Multiple Web Communities
    • [cs.SI]Women, politics and Twitter: Using machine learning to change the discourse
    • [eess.IV]Ground Truth Simulation for Deep Learning Classification of Mid-Resolution Venus Images Via Unmixing of High-Resolution Hyperspectral Fenix Data
    • [eess.IV]Shape Detection of Liver From 2D Ultrasound Images
    • [eess.SP]An Iterative Interference Cancellation Algorithm for Large Intelligent Surfaces
    • [eess.SP]Functional Bayesian Filter
    • [eess.SY]Generativity and Interactional Effects: an Overview
    • [math.CO]Tropical principal component analysis on the space of ultrametrics
    • [math.NT]Factorization and malleability of RSA modules, and counting points on elliptic curves modulo N
    • [math.ST]3rd-order Spectral Representation Method: Part II — Ergodic Multi-variate random processes with fast Fourier transform
    • [math.ST]A Note on Mixing in High Dimensional Time series
    • [math.ST]A new test of multivariate normality by a double estimation in a characterizing PDE
    • [math.ST]Bayesian nonparametric estimation in the current status continuous mark model
    • [math.ST]Optimal Permutation Recovery in Permuted Monotone Matrix Model
    • [physics.app-ph]Oscillator Circuit for Spike Neural Network with Sigmoid Like Activation Function and Firing Rate Coding
    • [physics.data-an]Searching for new physics with profile likelihoods: Wilks and beyond
    • [physics.soc-ph]k-core structure of real multiplex networks
    • [q-bio.NC]Biological sex classification with structural MRI data shows increased misclassification in transgender women
    • [q-bio.QM]ART: A machine learning Automated Recommendation Tool for synthetic biology
    • [q-bio.QM]Approaching Small Molecule Prioritization as a Cross-Modal Information Retrieval Task through Coordinated Representation Learning
    • [stat.AP]A change-point approach to identify hierarchical organization of topologically associated domains in chromatin interaction
    • [stat.AP]Forecasting vegetation condition for drought early warning systems in pastoral communities in Kenya
    • [stat.AP]ForestFit : An R package for modeling tree diameter distributions
    • [stat.AP]Unlocking GOES: A Statistical Framework for Quantifying the Evolution of Convective Structure in Tropical Cyclones
    • [stat.ME]Algorithmic Bias in Recidivism Prediction: A Causal Perspective
    • [stat.ME]Analysis of odds, probability, and hazard ratios: From 2 by 2 tables to two-sample survival data
    • [stat.ME]Non-parametric targeted Bayesian estimation of class proportions in unlabeled data
    • [stat.ME]Random projections: data perturbation for classification problems
    • [stat.ME]Resampling-based Confidence Intervals for Model-free Robust Inference on Optimal Treatment Regimes
    • [stat.ME]The Tilted Beta Binomial Linear Regression Model: a Bayesian Approach
    • [stat.ME]The harmonic mean $χ^2$ test to substantiate scientific findings
    • [stat.ML]A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model
    • [stat.ML]A New Distribution-Free Concept for Representing, Comparing, and Propagating Uncertainty in Dynamical Systems with Kernel Probabilistic Programming
    • [stat.ML]Differentially Private Federated Variational Inference
    • [stat.ML]Improvement of Batch Normalization in Imbalanced Data
    • [stat.ML]Low Rank Approximation for Smoothing Spline via Eigensystem Truncation
    • [stat.ML]Lung Cancer Detection and Classification based on Image Processing and Statistical Learning
    • [stat.ML]Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data
    • [stat.ML]The Convex Information Bottleneck Lagrangian
    • [stat.ML]Trajectory growth lower bounds for random sparse deep ReLU networks

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    • [cond-mat.dis-nn]Biologically Plausible Sequence Learning with Spiking Neural Networks
    Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin
    http://arxiv.org/abs/1911.10943v1

    • [cs.AI]Combined Model for Partially-Observable and Non-Observable Task Switching:Solving Hierarchical Reinforcement Learning Problems
    Nibraas Khan, Joshua Phillips
    http://arxiv.org/abs/1911.10425v1

    • [cs.AI]End-to-End Trainable Non-Collaborative Dialog System
    Yu Li, Kun Qian, Weiyan Shi, Zhou Yu
    http://arxiv.org/abs/1911.10742v1

    • [cs.AI]Fair in the Eyes of Others
    Parham Shams, Aurélie Beynier, Sylvain Bouveret, Nicolas Maudet
    http://arxiv.org/abs/1911.11053v1

    • [cs.AI]Greedy Algorithms for Fair Division of Mixed Manna
    Martin Aleksandrov, Toby Walsh
    http://arxiv.org/abs/1911.11005v1

    • [cs.AI]Multi-Agent Game Abstraction via Graph Attention Neural Network
    Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao
    http://arxiv.org/abs/1911.10715v1

    • [cs.AI]Neural Storyboard Artist: Visualizing Stories with Coherent Image Sequences
    Shizhe Chen, Bei Liu, Jianlong Fu, Ruihua Song, Qin Jin, Pingping Lin, Xiaoyu Qi, Chunting Wang, Jin Zhou
    http://arxiv.org/abs/1911.10460v1

    • [cs.AI]Which Channel to Ask My Question? Personalized Customer Service RequestStream Routing using DeepReinforcement Learning
    Zining Liu, Chong Long, Xiaolu Lu, Zehong Hu, Jie Zhang, Yafang Wang
    http://arxiv.org/abs/1911.10521v1

    • [cs.CL]A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations
    Zekun Yang, Juan Feng
    http://arxiv.org/abs/1911.10787v1

    • [cs.CL]A Transformer-based approach to Irony and Sarcasm detection
    Rolandos Alexandros Potamias, Georgios Siolas, Andreas - Georgios Stafylopatis
    http://arxiv.org/abs/1911.10401v1

    • [cs.CL]Causally Denoise Word Embeddings Using Half-Sibling Regression
    Zekun Yang, Tianlin Liu
    http://arxiv.org/abs/1911.10524v1

    • [cs.CL]Chinese Spelling Error Detection Using a Fusion Lattice LSTM
    Hao Wang, Bing Wang, Jianyong Duan, Jiajun Zhang
    http://arxiv.org/abs/1911.10750v1

    • [cs.CL]Controlling the Amount of Verbatim Copying in Abstractive Summarization
    Kaiqiang Song, Bingqing Wang, Zhe Feng, Liu Ren, Fei Liu
    http://arxiv.org/abs/1911.10390v1

    • [cs.CL]Conversational implicatures in English dialogue: Annotated dataset
    Elizabeth Jasmi George, Radhika Mamidi
    http://arxiv.org/abs/1911.10704v1

    • [cs.CL]CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning
    Daojian Zeng, Haoran Zhang, Qianying Liu
    http://arxiv.org/abs/1911.10438v1

    • [cs.CL]Corpus Wide Argument Mining — a Working Solution
    Liat Ein-Dor, Eyal Shnarch, Lena Dankin, Alon Halfon, Benjamin Sznajder, Ariel Gera, Carlos Alzate, Martin Gleize, Leshem Choshen, Yufang Hou, Yonatan Bilu, Ranit Aharonov, Noam Slonim
    http://arxiv.org/abs/1911.10763v1

    • [cs.CL]Discourse Level Factors for Sentence Deletion in Text Simplification
    Yang Zhong, Chao Jiang, Wei Xu, Junyi Jessy Li
    http://arxiv.org/abs/1911.10384v1

    • [cs.CL]Discovering topics with neural topic models built from PLSA assumptions
    Sileye 0. Ba
    http://arxiv.org/abs/1911.10924v1

    • [cs.CL]Enhancing Out-Of-Domain Utterance Detection with Data Augmentation Based on Word Embeddings
    Yueqi Feng, Jiali Lin
    http://arxiv.org/abs/1911.10439v1

    • [cs.CL]Filling Conversation Ellipsis for Better Social Dialog Understanding
    Xiyuan Zhang, Chengxi Li, Dian Yu, Samuel Davidson, Zhou Yu
    http://arxiv.org/abs/1911.10776v1

    • [cs.CL]Financial Event Extraction Using Wikipedia-Based Weak Supervision
    Liat Ein-Dor, Ariel Gera, Orith Toledo-Ronen, Alon Halfon, Benjamin Sznajder
    http://arxiv.org/abs/1911.10783v1

    • [cs.CL]Improving N-gram Language Models with Pre-trained Deep Transformer
    Yiren Wang, Hongzhao Huang, Zhe Liu, Yutong Pang, Yongqiang Wang, ChengXiang Zhai, Fuchun Peng
    http://arxiv.org/abs/1911.10235v1

    • [cs.CL]JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus
    Makoto Morishita, Jun Suzuki, Masaaki Nagata
    http://arxiv.org/abs/1911.10668v1

    • [cs.CL]Joint Parsing and Generation for Abstractive Summarization
    Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu
    http://arxiv.org/abs/1911.10389v1

    • [cs.CL]Korean-to-Chinese Machine Translation using Chinese Character as Pivot Clue
    Jeonghyeok Park, Hai Zhao
    http://arxiv.org/abs/1911.11008v1

    • [cs.CL]Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
    Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong
    http://arxiv.org/abs/1911.10470v1

    • [cs.CL]Learning to Reuse Translations: Guiding Neural Machine Translation with Examples
    Qian Cao, Shaohui Kuang, Deyi Xiong
    http://arxiv.org/abs/1911.10732v1

    • [cs.CL]Non-autoregressive Transformer by Position Learning
    Yu Bao, Hao Zhou, Jiangtao Feng, Mingxuan Wang, Shujian Huang, Jiajun Chen, Lei LI
    http://arxiv.org/abs/1911.10677v1

    • [cs.CL]Outbound Translation User Interface Ptakopet: A Pilot Study
    Vilém Zouhar, Ondřej Bojar
    http://arxiv.org/abs/1911.10835v1

    • [cs.CL]SWift — A SignWriting improved fast transcriber
    Claudia S. Bianchini, Fabrizio Borgia, Paolo Bottoni, Maria de Marsico
    http://arxiv.org/abs/1911.10882v1

    • [cs.CL]ScienceExamCER: A High-Density Fine-Grained Science-Domain Corpus for Common Entity Recognition
    Hannah Smith, Zeyu Zhang, John Culnan, Peter Jansen
    http://arxiv.org/abs/1911.10436v1

    • [cs.CL]SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals
    Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva, Preslav Nakov, Diarmuid Ó Séaghdha, Sebastian Padó, Marco Pennacchiotti, Lorenza Romano, Stan Szpakowicz
    http://arxiv.org/abs/1911.10422v1

    • [cs.CL]SemEval-2013 Task 4: Free Paraphrases of Noun Compounds
    Iris Hendrickx, Preslav Nakov, Stan Szpakowicz, Zornitsa Kozareva, Diarmuid Ó Séaghdha, Tony Veale
    http://arxiv.org/abs/1911.10421v1

    • [cs.CL]Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
    Yichi Zhang, Zhijian Ou, Zhou Yu
    http://arxiv.org/abs/1911.10484v1

    • [cs.CL]The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service
    Meng Chen, Ruixue Liu, Lei Shen, Shaozu Yuan, Jingyan Zhou, Youzheng Wu, Xiaodong He, Bowen Zhou
    http://arxiv.org/abs/1911.09969v2

    • [cs.CL]Towards robust word embeddings for noisy texts
    Yerai Doval, Jesús Vilares, Carlos Gómez-Rodríguez
    http://arxiv.org/abs/1911.10876v1

    • [cs.CL]Unsupervised Domain Adaptation of Language Models for Reading Comprehension
    Kosuke Nishida, Kyosuke Nishida, Itsumi Saito, Hisako Asano, Junji Tomita
    http://arxiv.org/abs/1911.10768v1

    • [cs.CL]When is ACL’s Deadline? A Scientific Conversational Agent
    Mohsen Mesgar, Paul Youssef, Lin Li, Dominik Bierwirth, Yihao Li, Christian M. Meyer, Iryna Gurevych
    http://arxiv.org/abs/1911.10392v1

    • [cs.CL]Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer
    Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
    http://arxiv.org/abs/1911.10666v1

    • [cs.CL]hauWE: Hausa Words Embedding for Natural Language Processing
    Idris Abdulmumin, Bashir Shehu Galadanci
    http://arxiv.org/abs/1911.10708v1

    • [cs.CV]“Looking at the right stuff” — Guided semantic-gaze for autonomous driving
    Anwesan Pal, Sayan Mondal, Henrik I. Christensen
    http://arxiv.org/abs/1911.10455v1

    • [cs.CV]2D Wasserstein Loss for Robust Facial Landmark Detection
    Yongzhe Yan, Stefan Duffner, Priyanka Phutane, Anthony Berthelier, Christophe Blanc, Christophe Garcia, Thierry Chateau
    http://arxiv.org/abs/1911.10572v1

    • [cs.CV]3FabRec: Fast Few-shot Face alignment by Reconstruction
    Bjoern Browatzki, Christian Wallraven
    http://arxiv.org/abs/1911.10448v1

    • [cs.CV]A Benchmark for Anomaly Segmentation
    Dan Hendrycks, Steven Basart, Mantas Mazeika, Mohammadreza Mostajabi, Jacob Steinhardt, Dawn Song
    http://arxiv.org/abs/1911.11132v1

    • [cs.CV]A Proposal-based Approach for Activity Image-to-Video Retrieval
    Ruicong Xu, Li Niu, Jianfu Zhang, Liqing Zhang
    http://arxiv.org/abs/1911.10531v1

    • [cs.CV]AOP: An Anti-overfitting Pretreatment for Practical Image-based Plant Diagnosis
    Takumi Saikawa, Quan Huu Cap, Satoshi Kagiwada, Hiroyuki Uga, Hitoshi Iyatomi
    http://arxiv.org/abs/1911.10727v1

    • [cs.CV]Appearance Composing GAN: A General Method for Appearance-Controllable Human Video Motion Transfer
    Dongxu Wei, Haibin Shen, Kejie Huang
    http://arxiv.org/abs/1911.10672v1

    • [cs.CV]Atlas Based Segmentations via Semi-Supervised Diffeomorphic Registrations
    Charles Huang, Masoud Badiei, Hyunseok Seo, Ming Ma, Xiaokun Liang, Dante Capaldi, Michael Gensheimer, Lei Xing
    http://arxiv.org/abs/1911.10417v1

    • [cs.CV]AttKGCN: Attribute Knowledge Graph Convolutional Network for Person Re-identification
    Bo Jiang, Xixi Wang, Jin Tang
    http://arxiv.org/abs/1911.10544v1

    • [cs.CV]Attention Deep Model with Multi-Scale Deep Supervision for Person Re-Identification
    Di Wu, Chao Wang, Yong Wu, De-Shuang Huang
    http://arxiv.org/abs/1911.10335v1

    • [cs.CV]Binarized Neural Architecture Search
    Hanlin Chen, Li’an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David Doermann, Rongrong Ji
    http://arxiv.org/abs/1911.10862v1

    • [cs.CV]Breaking the cycle — Colleagues are all you need
    Ori Nizan, Ayellet Tal
    http://arxiv.org/abs/1911.10538v1

    • [cs.CV]Cascaded Detail-Preserving Networks for Super-Resolution of Document Images
    Zhichao Fu, Yu Kong, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He
    http://arxiv.org/abs/1911.10714v1

    • [cs.CV]ColorFool: Semantic Adversarial Colorization
    Ali Shahin Shamsabadi, Ricardo Sanchez-Matilla, Andrea Cavallaro
    http://arxiv.org/abs/1911.10891v1

    • [cs.CV]Constrained Linear Data-feature Mapping for Image Classification
    Juncai He, Yuyan Chen, Jinchao Xu
    http://arxiv.org/abs/1911.10428v1

    • [cs.CV]Controllable List-wise Ranking for Universal No-reference Image Quality Assessment
    Fu-Zhao Ou, Yuan-Gen Wang, Jin Li, Guopu Zhu, Sam Kwong
    http://arxiv.org/abs/1911.10566v1

    • [cs.CV]Deep Decomposition Learning for Inverse Imaging Problems
    Dongdong Chen, Mike E. Davies
    http://arxiv.org/abs/1911.11028v1

    • [cs.CV]Deep Image Deraining Via Intrinsic Rainy Image Priors and Multi-scale Auxiliary Decoding
    Yinglong Wang, Chao Ma, Bing Zeng
    http://arxiv.org/abs/1911.10810v1

    • [cs.CV]Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition
    Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao
    http://arxiv.org/abs/1911.10751v1

    • [cs.CV]Deep Multivariate Mixture of Gaussians for Object Detection under Occlusion
    Yihui He, Jianren Wang
    http://arxiv.org/abs/1911.10614v1

    • [cs.CV]Deep Visual Waterline Detection within Inland Marine Environment
    Jing Huang, Hengfeng Miao, Lin Li, Yuanqiao Wen, Changshi Xiao
    http://arxiv.org/abs/1911.10498v1

    • [cs.CV]Differentiable Meta-learning Model for Few-shot Semantic Segmentation
    Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao
    http://arxiv.org/abs/1911.10371v1

    • [cs.CV]EDIT: Exemplar-Domain Aware Image-to-Image Translation
    Yuanbin Fu, Jiayi Ma, Lin Ma, Xiaojie Guo
    http://arxiv.org/abs/1911.10520v1

    • [cs.CV]Empirical Study of Easy and Hard Examples in CNN Training
    Ikki Kishida, Hideki Nakayama
    http://arxiv.org/abs/1911.10739v1

    • [cs.CV]Estimating People Flows to Better Count them in Crowded Scenes
    Weizhe Liu, Mathieu Salzmann, Pascal Fua
    http://arxiv.org/abs/1911.10782v1

    • [cs.CV]Event Recognition with Automatic Album Detection based on Sequential Processing, Neural Attention and Image Captioning
    Andrey V. Savchenko
    http://arxiv.org/abs/1911.11010v1

    • [cs.CV]Explaining Neural Networks via Perturbing Important Learned Features
    Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, Seong Tae Kim, Nassir Navab
    http://arxiv.org/abs/1911.11081v1

    • [cs.CV]Exploiting Operation Importance for Differentiable Neural Architecture Search
    Xukai Xie, Yuan Zhou, Sun-Yuan Kung
    http://arxiv.org/abs/1911.10511v1

    • [cs.CV]Facial Landmark Correlation Analysis
    Yongzhe Yan, Stefan Duffner, Priyanka Phutane, Anthony Berthelier, Christophe Blanc, Christophe Garcia, Thierry Chateau
    http://arxiv.org/abs/1911.10576v1

    • [cs.CV]Fast and Generalized Adaptation for Few-Shot Learning
    Liang Song, Jinlu Liu, Yongqiang Qin
    http://arxiv.org/abs/1911.10807v1

    • [cs.CV]Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution
    Yitong Yan, Chuangchuang Liu, Changyou Chen, Xianfang Sun, Longcun Jin, Xiang Zhou
    http://arxiv.org/abs/1911.10773v1

    • [cs.CV]Forecasting Human Object Interaction: Joint Prediction of Motor Attention and Egocentric Activity
    Miao Liu, Siyu Tang, Yin Li, James Rehg
    http://arxiv.org/abs/1911.10967v1

    • [cs.CV]Gating Revisited: Deep Multi-layer RNNs That Can Be Trained
    Mehmet Ozgur Turkoglu, Stefano D’Aronco, Jan Dirk Wegner, Konrad Schindler
    http://arxiv.org/abs/1911.11033v1

    • [cs.CV]Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation
    Chaowei Fang, Guanbin Li, Chengwei Pan, Yiming Li, Yizhou Yu
    http://arxiv.org/abs/1911.10360v1

    • [cs.CV]Image Cropping with Composition and Saliency Aware Aesthetic Score Map
    Yi Tu, Li Niu, Weijie Zhao, Dawei Cheng, Liqing Zhang
    http://arxiv.org/abs/1911.10492v1

    • [cs.CV]Image-based table recognition: data, model, and evaluation
    Xu Zhong, Elaheh ShafieiBavani, Antonio Jimeno Yepes
    http://arxiv.org/abs/1911.10683v1

    • [cs.CV]Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning
    Sameeksha Katoch, Kowshik Thopalli, Jayaraman J. Thiagarajan, Pavan Turaga, Andreas Spanias
    http://arxiv.org/abs/1911.10600v1

    • [cs.CV]Inverse-Transform AutoEncoder for Anomaly Detection
    Chaoqing Huang, Jinkun Cao, Fei Ye, Maosen Li, Ya Zhang, Cewu Lu
    http://arxiv.org/abs/1911.10676v1

    • [cs.CV]Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference
    Wei-An Lin, Yogesh Balaji, Pouya Samangouei, Rama Chellappa
    http://arxiv.org/abs/1911.10291v1

    • [cs.CV]Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning
    Xuan Liao, Wenhao Li, Qisen Xu, Xiangfeng Wang, Bo Jin, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang
    http://arxiv.org/abs/1911.10334v1

    • [cs.CV]Learning New Tricks from Old Dogs — Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment
    Marc Aubreville, Christof A. Bertram, Samir Jabari, Christian Marzahl, Robert Klopfleisch, Andreas Maier
    http://arxiv.org/abs/1911.10873v1

    • [cs.CV]Learning a Representation with the Block-Diagonal Structure for Pattern Classification
    He-Feng Yin, Xiao-Jun Wu, Josef Kittler, Zhen-Hua Feng
    http://arxiv.org/abs/1911.10301v1

    • [cs.CV]Microscopy Image Restoration with Deep Wiener-Kolmogorov filters
    Valeriya Pronina, Filippos Kokkinos, Dmitry V. Dylov, Stamatios Lefkimmiatis
    http://arxiv.org/abs/1911.10989v1

    • [cs.CV]Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning
    Mei Wang, Weihong Deng
    http://arxiv.org/abs/1911.10692v1

    • [cs.CV]Nearest Neighbor Sampling of Point Sets using Random Rays
    Liangchen Liu, Louis Ly, Colin Macdonald, Yen-Hsi Richard Tsai
    http://arxiv.org/abs/1911.10737v1

    • [cs.CV]Normal Assisted Stereo Depth Estimation
    Uday Kusupati, Shuo Cheng, Rui Chen, Hao Su
    http://arxiv.org/abs/1911.10444v1

    • [cs.CV]PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes
    Rundi Wu, Yixin Zhuang, Kai Xu, Hao Zhang, Baoquan Chen
    http://arxiv.org/abs/1911.10949v1

    • [cs.CV]Phase Contrast Microscopy Cell PopulationSegmentation: A Survey
    Lin Zhang
    http://arxiv.org/abs/1911.11111v1

    • [cs.CV]Pixel Adaptive Filtering Units
    Filippos Kokkinos, Ioannis Marras, Matteo Maggioni, Gregory Slabaugh, Stefanos Zafeiriou
    http://arxiv.org/abs/1911.10581v1

    • [cs.CV]PlantDoc: A Dataset for Visual Plant Disease Detection
    Davinder Singh, Naman Jain, Pranjali Jain, Pratik Kayal, Sudhakar Kumawat, Nipun Batra
    http://arxiv.org/abs/1911.10317v1

    • [cs.CV]Point Cloud Processing via Recurrent Set Encoding
    Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris Metaxas
    http://arxiv.org/abs/1911.10729v1

    • [cs.CV]Prototype Rectification for Few-Shot Learning
    Jinlu Liu, Liang Song, Yongqiang Qin
    http://arxiv.org/abs/1911.10713v1

    • [cs.CV]Pyramid Vector Quantization and Bit Level Sparsity in Weights for Efficient Neural Networks Inference
    Vincenzo Liguori
    http://arxiv.org/abs/1911.10636v1

    • [cs.CV]Radius Adaptive Convolutional Neural Network
    Meisam Rakhshanfar
    http://arxiv.org/abs/1911.11079v1

    • [cs.CV]Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core
    Wadim Kehl, Federico Tombari, Slobodan Ilic, Nassir Navab
    http://arxiv.org/abs/1911.10249v1

    • [cs.CV]Reducing the Human Effort in Developing PET-CT Registration
    Teaghan O’Briain, Kyong Hwan Jin, Hongyoon Choi, Erika Chin, Magdalena Bazalova-Carter, Kwang Moo Yi
    http://arxiv.org/abs/1911.10657v1

    • [cs.CV]Region Normalization for Image Inpainting
    Tao Yu, Zongyu Guo, Xin Jin, Shilin Wu, Zhibo Chen, Weiping Li, Zhizheng Zhang, Sen Liu
    http://arxiv.org/abs/1911.10375v1

    • [cs.CV]Regularized Fine-grained Meta Face Anti-spoofing
    Rui Shao, Xiangyuan Lan, Pong C. Yuen
    http://arxiv.org/abs/1911.10771v1

    • [cs.CV]Reinventing 2D Convolutions for 3D Medical Images
    Jiancheng Yang, Xiaoyang Huang, Bingbing Ni, Jingwei Xu, Canqian Yang, Guozheng Xu
    http://arxiv.org/abs/1911.10477v1

    • [cs.CV]Robustness Metrics for Real-World Adversarial Examples
    Brett Jefferson, Carlos Ortiz Marrero
    http://arxiv.org/abs/1911.10435v1

    • [cs.CV]SAL: Sign Agnostic Learning of Shapes from Raw Data
    Matan Atzmon, Yaron Lipman
    http://arxiv.org/abs/1911.10414v1

    • [cs.CV]Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
    Jia Li, Wen Su, Zengfu Wang
    http://arxiv.org/abs/1911.10529v1

    • [cs.CV]Simple and Lightweight Human Pose Estimation
    Zhe Zhang, Jie Tang, Gangshan Wu
    http://arxiv.org/abs/1911.10346v1

    • [cs.CV]StructEdit: Learning Structural Shape Variations
    Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy Mitra, Leonidas J. Guibas
    http://arxiv.org/abs/1911.11098v1

    • [cs.CV]Sub-frame Appearance and 6D Pose Estimation of Fast Moving Objects
    Denys Rozumnyi, Jan Kotera, Filip Sroubek, Jiri Matas
    http://arxiv.org/abs/1911.10927v1

    • [cs.CV]Two Causal Principles for Improving Visual Dialog
    Jiaxin Qi, Yulei Niu, Jianqiang Huang, Hanwang Zhang
    http://arxiv.org/abs/1911.10496v1

    • [cs.CV]Universal Adversarial Perturbations to Understand Robustness of Texture vs. Shape-biased Training
    Kenneth T. Co, Luis Muñoz-González, Leslie Kanthan, Ben Glocker, Emil C. Lupu
    http://arxiv.org/abs/1911.10364v1

    • [cs.CV]Unsupervised Keyword Extraction for Full-sentence VQA
    Kohei Uehara, Tatsuya Harada
    http://arxiv.org/abs/1911.10354v1

    • [cs.CV]Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
    Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
    http://arxiv.org/abs/1911.11130v1

    • [cs.CV]Unsupervised Neural Sensor Models for Synthetic LiDAR Data Augmentation
    Ahmad El Sallab, Ibrahim Sobh, Mohamed Zahran, Mohamed Shawky
    http://arxiv.org/abs/1911.10575v1

    • [cs.CV]Using panoramic videos for multi-person localization and tracking in a 3D panoramic coordinate
    Fan Yang, Feiran Li, Yang Wu, Sakriani Sakti, Satoshi Nakamura
    http://arxiv.org/abs/1911.10535v1

    • [cs.CV]ViewSynth: Learning Local Features from Depth using View Synthesis
    Jisan Mahmud, Peri Akiva, Rajat Vikram Singh, Spondon Kundu, Kuan-Chuan Peng, Jan-Michael Frahm
    http://arxiv.org/abs/1911.10248v1

    • [cs.CV]Visualizing Point Cloud Classifiers by Curvature Smoothing
    Chen Ziwen, Wenxuan Wu, Zhongang Qi, Li Fuxin
    http://arxiv.org/abs/1911.10415v1

    • [cs.CY]Computing with CodeRunner at Coventry University: Automated summative assessment of Python and C++ code
    David Croft, Matthew England
    http://arxiv.org/abs/1911.11085v1

    • [cs.CY]Detecting Unknown Behaviors by Pre-defined Behaviours: An Bayesian Non-parametric Approach
    Jin Watanabe, Fan Yang
    http://arxiv.org/abs/1911.10806v1

    • [cs.CY]First Year Computer Science Projects at Coventry University: Activity-led integrative team projects with continuous assessment
    Simon Billings, Matthew England
    http://arxiv.org/abs/1911.11088v1

    • [cs.DC]ACE: Abstract Consensus Encapsulation for Liveness Boosting of State Machine Replication
    Alexander Spiegelman, Arik Rinberg
    http://arxiv.org/abs/1911.10486v1

    • [cs.DC]No Need for Recovery: A Simple Two-Step Byzantine Consensus
    Tung-Wei Kuo, Kung Chen
    http://arxiv.org/abs/1911.10361v1

    • [cs.DC]Predicting Failures in Multi-Tier Distributed Systems
    Leonardo Mariani, Mauro Pezzè, Oliviero Riganelli, Rui Xin
    http://arxiv.org/abs/1911.09561v1

    • [cs.DC]Using Surrogate Models and Data Assimilation for Efficient Mobile Simulations
    Christoph Dibak, Wolfgang Nowak, Frank Dürr, Kurt Rothermel
    http://arxiv.org/abs/1911.10344v1

    • [cs.DM]Oriented Diameter of Star Graphs
    K. S. Ajish Kumar, Deepak Rajendraprasad, K. S. Sudeep
    http://arxiv.org/abs/1911.10340v1

    • [cs.ET]Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip
    Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh
    http://arxiv.org/abs/1911.10741v1

    • [cs.IR]An End-to-End Framework for Cold Question Routing in Community Question Answering Services
    Jiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy
    http://arxiv.org/abs/1911.11017v1

    • [cs.IR]FLATM: A Fuzzy Logic Approach Topic Model for Medical Documents
    Amir Karami, Aryya Gangopadhyay, Bin Zhou, Hadi Kharrazi
    http://arxiv.org/abs/1911.10953v1

    • [cs.IR]SWAG: Item Recommendations using Convolutions on Weighted Graphs
    Amit Pande, Kai Ni, Venkataramani Kini
    http://arxiv.org/abs/1911.10232v1

    • [cs.IT]Construction of optimal Hermitian self-dual codes from unitary matrices
    Lin Sok
    http://arxiv.org/abs/1911.10456v1

    • [cs.IT]Delay-Complexity Trade-off of Random Linear Network Coding in Wireless Broadcast
    Rina Su, Qifu Tyler Sun, Zhongshan Zhang
    http://arxiv.org/abs/1911.10501v1

    • [cs.IT]Negligible Cooperation: Contrasting the Maximal- and Average-Error Cases
    Parham Noorzad, Michael Langberg, Michelle Effros
    http://arxiv.org/abs/1911.10449v1

    • [cs.IT]OFDM-Based Optical Spatial Modulation
    Anil Yesilkaya, Rui Bian, Iman Tavakkolnia, Harald Haas
    http://arxiv.org/abs/1911.10380v1

    • [cs.IT]Performance of Multi-Cell Massive MIMO Systems With Interference Decoding
    Meysam Shahrbaf Motlagh, Subhajit Majhi, Patrick Mitran
    http://arxiv.org/abs/1911.11103v1

    • [cs.IT]Secure Sketch for All Noisy Sources
    Yen-Lung Lai
    http://arxiv.org/abs/1911.10201v1

    • [cs.IT]Specific Absorption Rate-Aware Beamforming in MISO Downlink SWIPT Systems
    Juping Zhang, Gan Zheng, Ioannis Krikidis, Rui Zhang
    http://arxiv.org/abs/1911.10556v1

    • [cs.LG]A Deep Reinforcement Learning Architecture for Multi-stage Optimal Control
    Yuguang Yang
    http://arxiv.org/abs/1911.10684v1

    • [cs.LG]A Domain Adaptive Density Clustering Algorithm for Data with Varying Density Distribution
    Jianguo Chen, Philip S. Yu
    http://arxiv.org/abs/1911.10293v1

    • [cs.LG]A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification
    Xiaowei Gu, Plamen P Angelov, Eduardo Almeida Soares
    http://arxiv.org/abs/1911.11018v1

    • [cs.LG]A Unified Deep Learning Approach for Prediction of Parkinson’s Disease
    James Wingate, Ilianna Kollia, Luc Bidaut, Stefanos Kollias
    http://arxiv.org/abs/1911.10653v1

    • [cs.LG]Adversarial Attack with Pattern Replacement
    Ziang Dong, Liang Mao, Shiliang Sun
    http://arxiv.org/abs/1911.10875v1

    • [cs.LG]AnoNet: Weakly Supervised Anomaly Detection in Textured Surfaces
    Manpreet Singh Minhas, John Zelek
    http://arxiv.org/abs/1911.10608v1

    • [cs.LG]Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder
    Cooper J. Mellema, Alex Treacher, Kevin P. Nguyen, Albert Montillo
    http://arxiv.org/abs/1911.11024v1

    • [cs.LG]Automatic Ensemble Learning for Online Influence Maximization
    Xiaojin Zhang
    http://arxiv.org/abs/1911.10728v1

    • [cs.LG]Bounding Singular Values of Convolution Layers
    Sahil Singla, Soheil Feizi
    http://arxiv.org/abs/1911.10258v1

    • [cs.LG]Bridging Disentanglement with Independence and Conditional Independence via Mutual Information for Representation Learning
    Xiaojiang Yang, Wendong Bi, Yu Cheng, Junchi Yan
    http://arxiv.org/abs/1911.10922v1

    • [cs.LG]CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators
    Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani, Marc Schoenauer
    http://arxiv.org/abs/1911.10735v1

    • [cs.LG]Causality for Machine Learning
    Bernhard Schölkopf
    http://arxiv.org/abs/1911.10500v1

    • [cs.LG]Compressing Representations for Embedded Deep Learning
    Juliano S. Assine, Alan Godoy, Eduardo Valle
    http://arxiv.org/abs/1911.10321v1

    • [cs.LG]CoverNet: Multimodal Behavior Prediction using Trajectory Sets
    Tung Phan-Minh, Elena Corina Grigore, Freddy A. Boulton, Oscar Beijbom, Eric M. Wolff
    http://arxiv.org/abs/1911.10298v1

    • [cs.LG]DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles
    Yue Zhao, Maciej K. Hryniewicki
    http://arxiv.org/abs/1911.10418v1

    • [cs.LG]Deep Ordinal Classification with Inequality Constraints
    Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger
    http://arxiv.org/abs/1911.10720v1

    • [cs.LG]DeepSmartFuzzer: Reward Guided Test Generation For Deep Learning
    Samet Demir, Hasan Ferit Eniser, Alper Sen
    http://arxiv.org/abs/1911.10621v1

    • [cs.LG]DeepSynth: Program Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning
    Mohammadhosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening
    http://arxiv.org/abs/1911.10244v1

    • [cs.LG]Discriminative training of conditional random fields with probably submodular constraints
    Maxim Berman, Matthew B. Blaschko
    http://arxiv.org/abs/1911.10819v1

    • [cs.LG]Disentangled Cumulants Help Successor Representations Transfer to New Tasks
    Christopher Grimm, Irina Higgins, Andre Barreto, Denis Teplyashin, Markus Wulfmeier, Tim Hertweck, Raia Hadsell, Satinder Singh
    http://arxiv.org/abs/1911.10866v1

    • [cs.LG]Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment
    Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun
    http://arxiv.org/abs/1911.10395v1

    • [cs.LG]Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families
    Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin
    http://arxiv.org/abs/1911.10305v1

    • [cs.LG]Efficient Global String Kernel with Random Features: Beyond Counting Substructures
    Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji, Charu Aggarwal
    http://arxiv.org/abs/1911.11121v1

    • [cs.LG]End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances
    Marin Toromanoff, Emilie Wirbel, Fabien Moutarde
    http://arxiv.org/abs/1911.10868v1

    • [cs.LG]Failure Modes in Machine Learning Systems
    Ram Shankar Siva Kumar, David O Brien, Kendra Albert, Salomé Viljöen, Jeffrey Snover
    http://arxiv.org/abs/1911.11034v1

    • [cs.LG]Fast Polynomial Kernel Classification for Massive Data
    Jinshan Zeng, Minrun Wu, Shao-Bo Lin, Ding-Xuan Zhou
    http://arxiv.org/abs/1911.10558v1

    • [cs.LG]GRASPEL: Graph Spectral Learning at Scale
    Yongyu Wang, Zhiqiang Zhao, Zhuo Feng
    http://arxiv.org/abs/1911.10373v1

    • [cs.LG]Improving VAE generations of multimodal data through data-dependent conditional priors
    Frantzeska Lavda, Magda Gregorová, Alexandros Kalousis
    http://arxiv.org/abs/1911.10885v1

    • [cs.LG]Intermittent Demand Forecasting with Deep Renewal Processes
    Ali Caner Turkmen, Yuyang Wang, Tim Januschowski
    http://arxiv.org/abs/1911.10416v1

    • [cs.LG]Invert to Learn to Invert
    Patrick Putzky, Max Welling
    http://arxiv.org/abs/1911.10914v1

    • [cs.LG]Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values
    Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu Aggarwal, Prasenjit Mitra, Suhang Wang
    http://arxiv.org/abs/1911.10273v1

    • [cs.LG]KerGM: Kernelized Graph Matching
    Zhen Zhang, Yijian Xiang, Lingfei Wu, Bing Xue, Arye Nehorai
    http://arxiv.org/abs/1911.11120v1

    • [cs.LG]Latent space conditioning for improved classification and anomaly detection
    Erik Norlander, Alexandros Sopasakis
    http://arxiv.org/abs/1911.10599v1

    • [cs.LG]Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems
    Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash
    http://arxiv.org/abs/1911.11071v1

    • [cs.LG]Making Learners (More) Monotone
    Tom J. Viering, Alexander Mey, Marco Loog
    http://arxiv.org/abs/1911.11030v1

    • [cs.LG]Matrix Normal PCA for Interpretable Dimension Reduction and Graphical Noise Modeling
    Chihao Zhang, Kuo Gai, Shihua Zhang
    http://arxiv.org/abs/1911.10796v1

    • [cs.LG]Merging Deterministic Policy Gradient Estimations with Varied Bias-Variance Tradeoff for Effective Deep Reinforcement Learning
    Gang Chen
    http://arxiv.org/abs/1911.10527v1

    • [cs.LG]Meta Adaptation using Importance Weighted Demonstrations
    Kiran Lekkala, Sami Abu-El-Haija, Laurent Itti
    http://arxiv.org/abs/1911.10322v1

    • [cs.LG]Meta-Learning of Neural Architectures for Few-Shot Learning
    Thomas Elsken, Benedikt Staffler, Jan Hendrik Metzen, Frank Hutter
    http://arxiv.org/abs/1911.11090v1

    • [cs.LG]Minimax Optimal Algorithms for Adversarial Bandit Problem with Multiple Plays
    N. Mert Vural, Hakan Gokcesu, Kaan Gokcesu, Suleyman S. Kozat
    http://arxiv.org/abs/1911.11122v1

    • [cs.LG]Modelling of Sickle Cell Anemia Patients Response to Hydroxyurea using Artificial Neural Networks
    Brendan E. Odigwe, Jesuloluwa S. Eyitayo, Celestine I. Odigwe, Homayoun Valafar
    http://arxiv.org/abs/1911.10978v1

    • [cs.LG]Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
    Kaiqing Zhang, Zhuoran Yang, Tamer Başar
    http://arxiv.org/abs/1911.10635v1

    • [cs.LG]Multi-Component Graph Convolutional Collaborative Filtering
    Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li
    http://arxiv.org/abs/1911.10699v1

    • [cs.LG]Neural Integration of Continuous Dynamics
    Margaret Trautner, Sai Ravela
    http://arxiv.org/abs/1911.10309v1

    • [cs.LG]Neural Random Forest Imitation
    Christoph Reinders, Bodo Rosenhahn
    http://arxiv.org/abs/1911.10829v1

    • [cs.LG]ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems
    Bharathan Balaji, Jordan Bell-Masterson, Enes Bilgin, Andreas Damianou, Pablo Moreno Garcia, Arpit Jain, Runfei Luo, Alvaro Maggiar, Balakrishnan Narayanaswamy, Chun Ye
    http://arxiv.org/abs/1911.10641v1

    • [cs.LG]PAC learning with stable and private predictions
    Yuval Dagan, Vitaly Feldman
    http://arxiv.org/abs/1911.10541v1

    • [cs.LG]Projective Quadratic Regression for Online Learning
    Wenye Ma
    http://arxiv.org/abs/1911.10658v1

    • [cs.LG]ROIPCA: An Online PCA algorithm based on rank-one updates
    Roy Mitz, Yoel Shkolnisky
    http://arxiv.org/abs/1911.11049v1

    • [cs.LG]Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator
    Zhenyue Qin, Dongwoo Kim
    http://arxiv.org/abs/1911.10688v1

    • [cs.LG]Rigging the Lottery: Making All Tickets Winners
    Utku Evci, Trevor Gale, Jacob Menick, Pablo Samuel Castro, Erich Elsen
    http://arxiv.org/abs/1911.11134v1

    • [cs.LG]Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding
    Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu Aggarwal
    http://arxiv.org/abs/1911.11119v1

    • [cs.LG]Scaling active inference
    Alexander Tschantz, Manuel Baltieri, Anil. K. Seth, Christopher L. Buckley
    http://arxiv.org/abs/1911.10601v1

    • [cs.LG]Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction
    Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong
    http://arxiv.org/abs/1911.10516v1

    • [cs.LG]Stage-based Hyper-parameter Optimization for Deep Learning
    Ahnjae Shin, Dong-Jin Shin, Sungwoo Cho, Do Yoon Kim, Eunji Jeong, Gyeong-In Yu, Byung-Gon Chun
    http://arxiv.org/abs/1911.10504v1

    • [cs.LG]Towards a Hypothesis on Visual Transformation based Self-Supervision
    Dipan K. Pal, Sreena Nallamothu, Marios Savvides
    http://arxiv.org/abs/1911.10594v1

    • [cs.LG]Training Modern Deep Neural Networks for Memory-Fault Robustness
    Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon
    http://arxiv.org/abs/1911.10287v1

    • [cs.LG]Weighted Laplacian and Its Theoretical Applications
    Shijie Xu, Jiayan Fang, Xiang-Yang Li
    http://arxiv.org/abs/1911.10311v1

    • [cs.LG]When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
    Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu
    http://arxiv.org/abs/1911.10695v1

    • [cs.LG]dpVAEs: Fixing Sample Generation for Regularized VAEs
    Riddhish Bhalodia, Iain Lee, Shireen Elhabian
    http://arxiv.org/abs/1911.10506v1

    • [cs.LO]Checking Chase Termination over Ontologies of Existential Rules with Equality
    David Carral, Jacopo Urbani
    http://arxiv.org/abs/1911.10981v1

    • [cs.LO]On the Mathematical Structure of Cascade Effects and Emergent Phenomena
    Elie M. Adam, Munther A. Dahleh
    http://arxiv.org/abs/1911.10376v1

    • [cs.RO]Design and Experiments with a Robot-Driven Underwater Holographic Microscope for Low-Cost In Situ Particle Measurements
    Kevin Mallery, Dario Canelon, Jiarong Hong, Nikolaos Papanikolopoulos
    http://arxiv.org/abs/1911.10231v1

    • [cs.RO]Fast and Incremental Loop Closure Detection Using Proximity Graphs
    Shan An, Guangfu Che, Fangru Zhou, Xianglong Liu, Xin Ma, Yu Chen
    http://arxiv.org/abs/1911.10752v1

    • [cs.RO]Low Cost 3D Printing for Rapid Prototyping and its Application
    Taha Hasan Masood Siddique, Iqra Sami, Malik Zohaib Nisar, Mashal Naeem, Abid Karim, Muhammad Usman
    http://arxiv.org/abs/1911.10758v1

    • [cs.RO]Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection
    Lirui Wang, Yu Xiang, Dieter Fox
    http://arxiv.org/abs/1911.10280v1

    • [cs.RO]Prioritized Multi-agent Path Finding for Differential Drive Robots
    Konstantin Yakovlev, Anton Andreychuk, Vitaly Vorobyev
    http://arxiv.org/abs/1911.10578v1

    • [cs.RO]Robot Learning and Execution of Collaborative Manipulation Plans from YouTube Videos
    Hejia Zhang, Stefanos Nikolaidis
    http://arxiv.org/abs/1911.10686v1

    • [cs.RO]Scalable sim-to-real transfer of soft robot designs
    Sam Kriegman, Amir Mohammadi Nasab, Dylan Shah, Hannah Steele, Gabrielle Branin, Michael Levin, Josh Bongard, Rebecca Kramer-Bottiglio
    http://arxiv.org/abs/1911.10290v1

    • [cs.RO]The Reconfigurable Aerial Robotic Chain: Shape and Motion Planning
    Mihir Kulkarni, Huan Nguyen, Kostas Alexis
    http://arxiv.org/abs/1911.10627v1

    • [cs.RO]Three Dimensional Route Planning for Multiple Unmanned Aerial Vehicles using Salp Swarm Algorithm
    Priyansh Saxena, Raahat Gupta, Akshat Maheshwari, Gaurav Kaushal, Ritu Tiwari
    http://arxiv.org/abs/1911.10519v1

    • [cs.RO]Titan: A Parallel Asynchronous Library for Multi-Agent and Soft-Body Robotics using NVIDIA CUDA
    Jacob Austin, Rafael Corrales-Fatou, Sofia Wyetzner, Hod Lipson
    http://arxiv.org/abs/1911.10274v1

    • [cs.SI]A Measurement of Social Capital in an Open Source Software Project
    Saad Alqithami, Musaad Alzahrani, Fahad Alghamdi, Rahmat Budiarto, Henry Hexmoor
    http://arxiv.org/abs/1911.10283v1

    • [cs.SI]Co-contributorship Network and Division of Labor in Individual Scientific Collaborations
    Chao Lu, Yingyi Zhang, Yong-Yeol Ahn, Ying Ding, Chenwei Zhang, Dandan Ma
    http://arxiv.org/abs/1911.10745v1

    • [cs.SI]Do you trade with your friends or become friends with your trading partners? A case study in the G1 cryptocurrency
    Nicolas Gensollen, Matthieu Latapy
    http://arxiv.org/abs/1911.10792v1

    • [cs.SI]Efficiently Counting Vertex Orbits of All 5-vertex Subgraphs, by EVOKE
    Noujan Pashanasangi, C. Seshadhri
    http://arxiv.org/abs/1911.10616v1

    • [cs.SI]Time-aware Gradient Attack on Dynamic Network Link Prediction
    Jinyin Chen, Jian Zhang, Zhi Chen, Min Du, Feifei Li, Qi Xuan
    http://arxiv.org/abs/1911.10561v1

    • [cs.SI]Towards Understanding the Information Ecosystem Through the Lens of Multiple Web Communities
    Savvas Zannettou
    http://arxiv.org/abs/1911.10517v1

    • [cs.SI]Women, politics and Twitter: Using machine learning to change the discourse
    Lana Cuthbertson, Alex Kearney, Riley Dawson, Ashia Zawaduk, Eve Cuthbertson, Ann Gordon-Tighe, Kory W Mathewson
    http://arxiv.org/abs/1911.11025v1

    • [eess.IV]Ground Truth Simulation for Deep Learning Classification of Mid-Resolution Venus Images Via Unmixing of High-Resolution Hyperspectral Fenix Data
    Ido Faran, Nathan S. Netanyahu, Eli David, Maxim Shoshany, Fadi Kizel, Jisung Geba Chang, Ronit Rud
    http://arxiv.org/abs/1911.10442v1

    • [eess.IV]Shape Detection of Liver From 2D Ultrasound Images
    Md Abdul Mutalab Shaykat, Yashna Islam, Mohammad Ishtiaque Hossain
    http://arxiv.org/abs/1911.10352v1

    • [eess.SP]An Iterative Interference Cancellation Algorithm for Large Intelligent Surfaces
    Jesus Rodriguez Sanchez, Fredrik Rusek, Ove Edfors, Liang Liu
    http://arxiv.org/abs/1911.10804v1

    • [eess.SP]Functional Bayesian Filter
    Kan Li, Jose C. Principe
    http://arxiv.org/abs/1911.10606v1

    • [eess.SY]Generativity and Interactional Effects: an Overview
    Elie M. Adam, Munther A. Dahleh
    http://arxiv.org/abs/1911.10406v1

    • [math.CO]Tropical principal component analysis on the space of ultrametrics
    Robert Page, Leon Zhang, Ruriko Yoshida
    http://arxiv.org/abs/1911.10675v1

    • [math.NT]Factorization and malleability of RSA modules, and counting points on elliptic curves modulo N
    Luis Dieulefait, Jorge Urroz
    http://arxiv.org/abs/1911.11004v1

    • [math.ST]3rd-order Spectral Representation Method: Part II — Ergodic Multi-variate random processes with fast Fourier transform
    Lohit Vandanapu, Michael D. Shields
    http://arxiv.org/abs/1911.10251v1

    • [math.ST]A Note on Mixing in High Dimensional Time series
    Jiaqi Yin
    http://arxiv.org/abs/1911.10648v1

    • [math.ST]A new test of multivariate normality by a double estimation in a characterizing PDE
    Philip Dörr, Bruno Ebner, Norbert Henze
    http://arxiv.org/abs/1911.10955v1

    • [math.ST]Bayesian nonparametric estimation in the current status continuous mark model
    Geurt Jongbloed, Frank van der Meulen, Lixue Pang
    http://arxiv.org/abs/1911.10387v1

    • [math.ST]Optimal Permutation Recovery in Permuted Monotone Matrix Model
    Rong Ma, T. Tony Cai, Hongzhe Li
    http://arxiv.org/abs/1911.10604v1

    • [physics.app-ph]Oscillator Circuit for Spike Neural Network with Sigmoid Like Activation Function and Firing Rate Coding
    Andrei Velichko, Petr Boriskov
    http://arxiv.org/abs/1911.10351v1

    • [physics.data-an]Searching for new physics with profile likelihoods: Wilks and beyond
    Sara Algeri, Jelle Aalbers, Knut Dundas Morå, Jan Conrad
    http://arxiv.org/abs/1911.10237v1

    • [physics.soc-ph]k-core structure of real multiplex networks
    Saeed Osat, Filippo Radicchi, Fragkiskos Papadopoulos
    http://arxiv.org/abs/1911.10743v1

    • [q-bio.NC]Biological sex classification with structural MRI data shows increased misclassification in transgender women
    Claas Flint, Katharina Förster, Sophie A. Koser, Carsten Konrad, Pienie Zwitserlood, Klaus Berger, Marco Hermesdorf, Tilo Kircher, Igor Nenadic, Axel Krug, Bernhard T. Baune, Katharina Dohm, Ronny Redlich, Nils Opel, Tim Hahn, Xiaoyi Jiang, Udo Dannlowski, Dominik Grotegerd
    http://arxiv.org/abs/1911.10617v1

    • [q-bio.QM]ART: A machine learning Automated Recommendation Tool for synthetic biology
    Tijana Radivojević, Zak Costello, Hector Garcia Martin
    http://arxiv.org/abs/1911.11091v1

    • [q-bio.QM]Approaching Small Molecule Prioritization as a Cross-Modal Information Retrieval Task through Coordinated Representation Learning
    Samuel G. Finlayson, Matthew B. A. McDermott, Alex V. Pickering, Scott L. Lipnick, William Yuan, Isaac S. Kohane
    http://arxiv.org/abs/1911.10241v1

    • [stat.AP]A change-point approach to identify hierarchical organization of topologically associated domains in chromatin interaction
    Haipeng Xing, Yingru Wu, Yong Chen, Michael Zhang
    http://arxiv.org/abs/1911.10540v1

    • [stat.AP]Forecasting vegetation condition for drought early warning systems in pastoral communities in Kenya
    Adam B. Barrett, Steven Duivenvoorden, Edward Salakpi, James M. Muthoka, John Mwangi, Seb Oliver, Pedram Rowhani
    http://arxiv.org/abs/1911.10339v1

    • [stat.AP]ForestFit : An R package for modeling tree diameter distributions
    Mahdi Teimouri, Jeffrey W. Doser, Andrew O. Finley
    http://arxiv.org/abs/1911.11002v1

    • [stat.AP]Unlocking GOES: A Statistical Framework for Quantifying the Evolution of Convective Structure in Tropical Cyclones
    Trey McNeely, Ann B. Lee, Kimberly M. Wood, Dorit Hammerling
    http://arxiv.org/abs/1911.11089v1

    • [stat.ME]Algorithmic Bias in Recidivism Prediction: A Causal Perspective
    Aria Khademi, Vasant Honavar
    http://arxiv.org/abs/1911.10640v1

    • [stat.ME]Analysis of odds, probability, and hazard ratios: From 2 by 2 tables to two-sample survival data
    Zhiqiang Tan
    http://arxiv.org/abs/1911.10682v1

    • [stat.ME]Non-parametric targeted Bayesian estimation of class proportions in unlabeled data
    Iván Díaz, Oleksander Savenkov, Hooman Kamel
    http://arxiv.org/abs/1911.10246v1

    • [stat.ME]Random projections: data perturbation for classification problems
    Timothy I. Cannings
    http://arxiv.org/abs/1911.10800v1

    • [stat.ME]Resampling-based Confidence Intervals for Model-free Robust Inference on Optimal Treatment Regimes
    Yunan Wu, Lan Wang
    http://arxiv.org/abs/1911.11043v1

    • [stat.ME]The Tilted Beta Binomial Linear Regression Model: a Bayesian Approach
    María Victoria Cifuentes-Amado, Edilberto Cepeda-Cuervo
    http://arxiv.org/abs/1911.10644v1

    • [stat.ME]The harmonic mean $χ^2$ test to substantiate scientific findings
    Leonhard Held
    http://arxiv.org/abs/1911.10633v1

    • [stat.ML]A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model
    Juan-José Giraldo, Mauricio A. Álvarez
    http://arxiv.org/abs/1911.10225v1

    • [stat.ML]A New Distribution-Free Concept for Representing, Comparing, and Propagating Uncertainty in Dynamical Systems with Kernel Probabilistic Programming
    Jia-Jie Zhu, Krikamol Muandet, Moritz Diehl, Bernhard Schölkopf
    http://arxiv.org/abs/1911.11082v1

    • [stat.ML]Differentially Private Federated Variational Inference
    Mrinank Sharma, Michael Hutchinson, Siddharth Swaroop, Antti Honkela, Richard E. Turner
    http://arxiv.org/abs/1911.10563v1

    • [stat.ML]Improvement of Batch Normalization in Imbalanced Data
    Muneki Yasuda, Seishirou Ueno
    http://arxiv.org/abs/1911.10687v1

    • [stat.ML]Low Rank Approximation for Smoothing Spline via Eigensystem Truncation
    Danqing Xu, Yuedong Wang
    http://arxiv.org/abs/1911.10434v1

    • [stat.ML]Lung Cancer Detection and Classification based on Image Processing and Statistical Learning
    Md Rashidul Hasan, Muntasir Al Kabir
    http://arxiv.org/abs/1911.10654v1

    • [stat.ML]Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data
    Davoud Ataee Tarzanagh, George Michailidis
    http://arxiv.org/abs/1911.10454v1

    • [stat.ML]The Convex Information Bottleneck Lagrangian
    Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund
    http://arxiv.org/abs/1911.11000v1

    • [stat.ML]Trajectory growth lower bounds for random sparse deep ReLU networks
    Ilan Price, Jared Tanner
    http://arxiv.org/abs/1911.10651v1