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.DM - 离散数学 cs.GT - 计算机科学与博弈论 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 econ.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.PR - 概率 math.ST - 统计理论 physics.bio-ph - 生物物理 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习 stat.OT - 其他统计学

    • [cs.AI]A Conditional Perspective for Iterated Belief Contraction
    • [cs.AI]Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments
    • [cs.AI]Towards Inconsistency Measurement in Business Rule Bases
    • [cs.CL]A Comparative Study on End-to-end Speech to Text Translation
    • [cs.CL]Aging Memories Generate More Fluent Dialogue Responses with Memory Networks
    • [cs.CL]CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain
    • [cs.CL]Casting a Wide Net: Robust Extraction of Potentially Idiomatic Expressions
    • [cs.CL]Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension
    • [cs.CL]Controlling Neural Machine Translation Formality with Synthetic Supervision
    • [cs.CL]Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement
    • [cs.CL]EmpGAN: Multi-resolution Interactive Empathetic Dialogue Generation
    • [cs.CL]Global Greedy Dependency Parsing
    • [cs.CL]Global Thread-Level Inference for Comment Classification in Community Question Answering
    • [cs.CL]Joint Embedding Learning of Educational Knowledge Graphs
    • [cs.CL]Joint Emotion Label Space Modelling for Affect Lexica
    • [cs.CL]Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation
    • [cs.CL]Natural Language Generation Challenges for Explainable AI
    • [cs.CL]On Using SpecAugment for End-to-End Speech Translation
    • [cs.CL]On using 2D sequence-to-sequence models for speech recognition
    • [cs.CL]Paraphrasing Verbs for Noun Compound Interpretation
    • [cs.CL]Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network
    • [cs.CL]Red Dragon AI at TextGraphs 2019 Shared Task: Language Model Assisted Explanation Generation
    • [cs.CL]Rule-Guided Compositional Representation Learning on Knowledge Graphs
    • [cs.CL]SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings
    • [cs.CL]Table-Of-Contents generation on contemporary documents
    • [cs.CL]Zero-Shot Semantic Parsing for Instructions
    • [cs.CR]Sieving Fake News From Genuine: A Synopsis
    • [cs.CR]Web-sites password management (in)security: Evidence and remedies
    • [cs.CV]3D-Rotation-Equivariant Quaternion Neural Networks
    • [cs.CV]Action Recognition Using Volumetric Motion Representations
    • [cs.CV]Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method
    • [cs.CV]Attention Guided Anomaly Detection and Localization in Images
    • [cs.CV]CUP: Cluster Pruning for Compressing Deep Neural Networks
    • [cs.CV]CoopNet: Cooperative Convolutional Neural Network for Low-Power MCUs
    • [cs.CV]Cross-Class Relevance Learning for Temporal Concept Localization
    • [cs.CV]D3S — A Discriminative Single Shot Segmentation Tracker
    • [cs.CV]DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners
    • [cs.CV]Deep Learning based HEp-2 Image Classification: A Comprehensive Review
    • [cs.CV]Deep Motion Blur Removal Using Noisy/Blurry Image Pairs
    • [cs.CV]DermGAN: Synthetic Generation of Clinical Skin Images with Pathology
    • [cs.CV]Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning
    • [cs.CV]Efficient Derivative Computation for Cumulative B-Splines on Lie Groups
    • [cs.CV]EfficientDet: Scalable and Efficient Object Detection
    • [cs.CV]Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery
    • [cs.CV]Event-based Object Detection and Tracking for Space Situational Awareness
    • [cs.CV]Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection
    • [cs.CV]Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA
    • [cs.CV]Exploring the Origins and Prevalence of Texture Bias in Convolutional Neural Networks
    • [cs.CV]Fast and Flexible Image Blind Denoising via Competition of Experts
    • [cs.CV]Fine-grained Synthesis of Unrestricted Adversarial Examples
    • [cs.CV]Hierarchical Attention Networks for Medical Image Segmentation
    • [cs.CV]Hybrid Composition with IdleBlock: More Efficient Networks for Image Recognition
    • [cs.CV]Improving Semantic Segmentation of Aerial Images Using Patch-based Attention
    • [cs.CV]Instance-Invariant Adaptive Object Detection via Progressive Disentanglement
    • [cs.CV]Joint Super-Resolution and Alignment of Tiny Faces
    • [cs.CV]Learning Cross-modal Context Graph for Visual Grounding
    • [cs.CV]Learning Modulated Loss for Rotated Object Detection
    • [cs.CV]Learning Stylized Character Expressions from Humans
    • [cs.CV]Learning mappings onto regularized latent spaces for biometric authentication
    • [cs.CV]MMTM: Multimodal Transfer Module for CNN Fusion
    • [cs.CV]MetH: A family of high-resolution and variable-shape image challenges
    • [cs.CV]Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain
    • [cs.CV]Mini Lesions Detection on Diabetic Retinopathy Images via Large Scale CNN Features
    • [cs.CV]Modal-aware Features for Multimodal Hashing
    • [cs.CV]Open Cross-Domain Visual Search
    • [cs.CV]Real-time Scene Text Detection with Differentiable Binarization
    • [cs.CV]RefineDetLite: A Lightweight One-stage Object Detection Framework for CPU-only Devices
    • [cs.CV]SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation
    • [cs.CV]Search to Distill: Pearls are Everywhere but not the Eyes
    • [cs.CV]Self-supervised Learning of 3D Objects from Natural Images
    • [cs.CV]Shift Convolution Network for Stereo Matching
    • [cs.CV]Sibling Neural Estimators: Improving Iterative Image Decoding with Gradient Communication
    • [cs.CV]Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping
    • [cs.CV]The dynamics of the stomatognathic system from 4D multimodal data
    • [cs.CV]Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
    • [cs.CV]Unified Multifaceted Feature Learning for Person Re-Identification
    • [cs.CV]Unsupervised Monocular Depth Prediction for Indoor Continuous Video Streams
    • [cs.CV]Utility Analysis of Network Architectures for 3D Point Cloud Processing
    • [cs.CV]Vision: A Deep Learning Approach to provide walking assistance to the visually impaired
    • [cs.CV]Weak Supervision for Generating Pixel-Level Annotations in Scene Text Segmentation
    • [cs.CV]You Are Here: Geolocation by Embedding Maps and Images
    • [cs.CY]Neural Approximate Dynamic Programming for On-Demand Ride-Pooling
    • [cs.CY]Putting the SC in SCORE: Solar Car Optimized Route Estimation and Smart Cities
    • [cs.DC]A Code injection Method for Rapid Docker Image Building
    • [cs.DC]Auto-Precision Scaling for Distributed Deep Learning
    • [cs.DC]Characterizing Scalability of Sparse Matrix-Vector Multiplications on Phytium FT-2000+ Many-cores
    • [cs.DC]FeCaffe: FPGA-enabled Caffe with OpenCL for Deep Learning Training and Inference on Intel Stratix 10
    • [cs.DC]How to profit from payments channels
    • [cs.DC]Parallel Implementations for Computing the Minimum Distance of a Random Linear Code on Multicomputers
    • [cs.DC]Robustness and efficiency of leaderless probabilistic consensus protocols within Byzantine infrastructures
    • [cs.DM]Steepest ascent can be exponential in bounded treewidth problems
    • [cs.GT]Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning
    • [cs.IT]Decoding Polar Codes via Weighted-Window Soft Cancellation for Slowly-Varying Channel
    • [cs.IT]On the Hamming distances of repeated-root cyclic codes of length $5p^s$
    • [cs.IT]Online Power Allocation at Energy Harvesting Transmitter for Multiple Receivers with and without Individual Rate Constraints for OMA and NOMA Transmissions
    • [cs.IT]Partially Permuted Multi-Trellis Belief Propagation for Polar Codes
    • [cs.LG]A CNN-RNN Framework for Crop Yield Prediction
    • [cs.LG]A Fast Sampling Gradient Tree Boosting Framework
    • [cs.LG]A Framework for End-to-End Deep Learning-Based Anomaly Detection in Transportation Networks
    • [cs.LG]Adaptive Wind Driven Optimization Trained Artificial Neural Networks
    • [cs.LG]Adversarial Robustness of Flow-Based Generative Models
    • [cs.LG]Avoiding Jammers: A Reinforcement Learning Approach
    • [cs.LG]Bayesian Curiosity for Efficient Exploration in Reinforcement Learning
    • [cs.LG]Black-box Combinatorial Optimization using Models with Integer-valued Minima
    • [cs.LG]CAT: CRF-based ASR Toolkit
    • [cs.LG]CNAK : Cluster Number Assisted K-means
    • [cs.LG]Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data
    • [cs.LG]Corruption Robust Exploration in Episodic Reinforcement Learning
    • [cs.LG]DARB: A Density-Aware Regular-Block Pruning for Deep Neural Networks
    • [cs.LG]Deep Anomaly Detection with Deviation Networks
    • [cs.LG]Deep Minimax Probability Machine
    • [cs.LG]Deep Reinforcement Learning with Explicitly Represented Knowledge and Variable State and Action Spaces
    • [cs.LG]Deep-seismic-prior-based reconstruction of seismic data using convolutional neural networks
    • [cs.LG]Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
    • [cs.LG]Efficient decorrelation of features using Gramian in Reinforcement Learning
    • [cs.LG]Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks
    • [cs.LG]Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking
    • [cs.LG]Exponential Family Graph Embeddings
    • [cs.LG]Fast and Deep Graph Neural Networks
    • [cs.LG]Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation
    • [cs.LG]Forbidden knowledge in machine learning — Reflections on the limits of research and publication
    • [cs.LG]Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning
    • [cs.LG]Generate (non-software) Bugs to Fool Classifiers
    • [cs.LG]Graph-Driven Generative Models for Heterogeneous Multi-Task Learning
    • [cs.LG]Gromov-Wasserstein Factorization Models for Graph Clustering
    • [cs.LG]Heterogeneous Deep Graph Infomax
    • [cs.LG]Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning
    • [cs.LG]Hierarchical Average Reward Policy Gradient Algorithms
    • [cs.LG]Inspect Transfer Learning Architecture with Dilated Convolution
    • [cs.LG]Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees
    • [cs.LG]Learning Embeddings from Cancer Mutation Sets for Classification Tasks
    • [cs.LG]Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models
    • [cs.LG]Learning to Control Latent Representations for Few-Shot Learning of Named Entities
    • [cs.LG]LionForests: Local Interpretation of Random Forests through Path Selection
    • [cs.LG]Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates
    • [cs.LG]Log Message Anomaly Detection and Classification Using Auto-B/LSTM and Auto-GRU
    • [cs.LG]Logic-inspired Deep Neural Networks
    • [cs.LG]Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationships
    • [cs.LG]On Node Features for Graph Neural Networks
    • [cs.LG]Outside the Box: Abstraction-Based Monitoring of Neural Networks
    • [cs.LG]Representation Learning with Multisets
    • [cs.LG]Response Transformation and Profit Decomposition for Revenue Uplift Modeling
    • [cs.LG]Robust Learning of Discrete Distributions from Batches
    • [cs.LG]Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification
    • [cs.LG]Shapelets for earthquake detection
    • [cs.LG]TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction
    • [cs.LG]Towards a Unified Evaluation of Explanation Methods without Ground Truth
    • [cs.LG]Transfer Learning Toolkit: Primers and Benchmarks
    • [cs.LG]Understanding Top-k Sparsification in Distributed Deep Learning
    • [cs.LG]Where is the Bottleneck of Adversarial Learning with Unlabeled Data?
    • [cs.NE]Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems
    • [cs.NE]Supported-BinaryNet: Bitcell Array-based Weight Supports for Dynamic Accuracy-Latency Trade-offs in SRAM-based Binarized Neural Network
    • [cs.NI]Delay-Aware Wireless Network Coding in Adversarial Traffic
    • [cs.RO]A Configuration-Space Decomposition Scheme for Learning-based Collision Checking
    • [cs.RO]A Human Action Descriptor Based on Motion Coordination
    • [cs.RO]Intermittent Connectivity for Exploration in Communication-Constrained Multi-Agent Systems
    • [cs.RO]On Policy Learning Robust to Irreversible Events: An Application to Robotic In-Hand Manipulation
    • [cs.RO]Path tracking control of self-reconfigurable robot hTetro with four differential drive units
    • [cs.RO]Robust Lane Marking Detection Algorithm Using Drivable Area Segmentation and Extended SLT
    • [cs.SD]Demystifying TasNet: A Dissecting Approach
    • [cs.SD]Joint DNN-Based Multichannel Reduction of Acoustic Echo, Reverberation and Noise
    • [cs.SE]Commit2Vec: Learning Distributed Representations of Code Changes
    • [econ.EM]Statistical Inference on Partially Linear Panel Model under Unobserved Linearity
    • [eess.IV]An Inception Inspired Deep Network to Analyse Fundus Images
    • [eess.IV]Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction
    • [eess.IV]Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models
    • [eess.IV]Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution
    • [eess.IV]Pan-Cancer Diagnostic Consensus Through Searching Archival Histopathology Images Using Artificial Intelligence
    • [eess.IV]Segmentation of Defective Skulls from CT Data for Tissue Modelling
    • [eess.IV]W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping
    • [eess.IV]Yottixel — An Image Search Engine for Large Archives of Histopathology Whole Slide Images
    • [eess.SP]Multi-group Multicast Beamforming: Optimal Structure and Efficient Algorithms
    • [eess.SP]Performance Monitoring for Live Systems with Soft FEC and Multilevel Modulation
    • [math.PR]Sparse random tensors: concentration, regularization and applications
    • [math.ST]Predictive properties of forecast combination, ensemble methods, and Bayesian predictive synthesis
    • [physics.bio-ph]Machine Learning Classification Informed by a Functional Biophysical System
    • [physics.comp-ph]Towards Physics-informed Deep Learning for Turbulent Flow Prediction
    • [physics.soc-ph]Empirical model of campus air temperature and urban morphology parameters based on field measurement and machine learning in Singapore
    • [physics.soc-ph]Multi-criteria community detection in International Trade Network
    • [physics.soc-ph]Universal and non-universal text statistics: Clustering coefficient for language identification
    • [q-bio.PE]Modeling the Temporal Population Distribution of Ae. aegypti Mosquito using Big Earth Observation Data
    • [quant-ph]Stability of logarithmic Sobolev inequalities under a noncommutative change of measure
    • [stat.AP]A Framework for Challenge Design: Insight and Deployment Challenges to Address Medical Image Analysis Problems
    • [stat.AP]Bayesian Hierarchical Models for the Prediction of Volleyball Results
    • [stat.AP]Ensuring Reliable Monte Carlo Estimates of Network Properties
    • [stat.AP]Examining the impact of data quality and completeness of electronic health records on predictions of patients risks of cardiovascular disease
    • [stat.AP]Weather event severity prediction using buoy data and machine learning
    • [stat.CO]Replication-based emulation of the response distribution of stochastic simulators using generalized lambda distributions
    • [stat.ME]Measuring spatiotemporal disease clustering with the tau statistic
    • [stat.ME]Mixtures of multivariate generalized linear models with overlapping clusters
    • [stat.ME]Parsimonious Mixtures of Matrix Variate Bilinear Factor Analyzers
    • [stat.ME]Symbolic Formulae for Linear Mixed Models
    • [stat.ML]Additive Bayesian Network Modelling with the R Package abn
    • [stat.ML]Bayesian interpretation of SGD as Ito process
    • [stat.ML]Bayesian sparse convex clustering via global-local shrinkage priors
    • [stat.OT]Sharp hypotheses and bispatial inference

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    • [cs.AI]A Conditional Perspective for Iterated Belief Contraction
    Kai Sauerwald, Gabriele Kern-Isberner, Christoph Beierle
    http://arxiv.org/abs/1911.08833v1

    • [cs.AI]Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments
    Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz
    http://arxiv.org/abs/1911.09005v1

    • [cs.AI]Towards Inconsistency Measurement in Business Rule Bases
    Carl Corea, Matthias Thimm
    http://arxiv.org/abs/1911.08872v1

    • [cs.CL]A Comparative Study on End-to-end Speech to Text Translation
    Parnia Bahar, Tobias Bieschke, Hermann Ney
    http://arxiv.org/abs/1911.08870v1

    • [cs.CL]Aging Memories Generate More Fluent Dialogue Responses with Memory Networks
    Omar U. Florez, Erik Mueller
    http://arxiv.org/abs/1911.08522v1

    • [cs.CL]CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain
    Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, Cunchao Tu, Zhiyuan Liu, Maosong Sun, Tianyang Zhang, Xianpei Han, Zhen hu, Heng Wang, Jianfeng Xu
    http://arxiv.org/abs/1911.08962v1

    • [cs.CL]Casting a Wide Net: Robust Extraction of Potentially Idiomatic Expressions
    Hessel Haagsma, Malvina Nissim, Johan Bos
    http://arxiv.org/abs/1911.08829v1

    • [cs.CL]Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension
    Xiaorui Zhou, Senlin Luo, Yunfang Wu
    http://arxiv.org/abs/1911.08648v1

    • [cs.CL]Controlling Neural Machine Translation Formality with Synthetic Supervision
    Xing Niu, Marine Carpuat
    http://arxiv.org/abs/1911.08706v1

    • [cs.CL]Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement
    Ting-En Lin, Hua Xu, Hanlei Zhang
    http://arxiv.org/abs/1911.08891v1

    • [cs.CL]EmpGAN: Multi-resolution Interactive Empathetic Dialogue Generation
    Qintong Li, Hongshen Chen, Zhaochun Ren, Zhumin Chen, Zhaopeng Tu, Jun Ma
    http://arxiv.org/abs/1911.08698v1

    • [cs.CL]Global Greedy Dependency Parsing
    Zuchao Li, Hai Zhao, Kevin Parnow
    http://arxiv.org/abs/1911.08673v1

    • [cs.CL]Global Thread-Level Inference for Comment Classification in Community Question Answering
    Shafiq Joty, Alberto Barrón-Cedeño, Giovanni Da San Martino, Simone Filice, Lluís Màrquez, Alessandro Moschitti, Preslav Nakov
    http://arxiv.org/abs/1911.08755v1

    • [cs.CL]Joint Embedding Learning of Educational Knowledge Graphs
    Siyu Yao, Ruijie Wang, Shen Sun, Derui Bu, Jun Liu
    http://arxiv.org/abs/1911.08776v1

    • [cs.CL]Joint Emotion Label Space Modelling for Affect Lexica
    Luna De Bruyne, Pepa Atanasova, Isabelle Augenstein
    http://arxiv.org/abs/1911.08782v1

    • [cs.CL]Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation
    Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang, Yuzhong Qu
    http://arxiv.org/abs/1911.08936v1

    • [cs.CL]Natural Language Generation Challenges for Explainable AI
    Ehud Reiter
    http://arxiv.org/abs/1911.08794v1

    • [cs.CL]On Using SpecAugment for End-to-End Speech Translation
    Parnia Bahar, Albert Zeyer, Ralf Schlüter, Hermann Ney
    http://arxiv.org/abs/1911.08876v1

    • [cs.CL]On using 2D sequence-to-sequence models for speech recognition
    Parnia Bahar, Albert Zeyer, Ralf Schlüter, Hermann Ney
    http://arxiv.org/abs/1911.08888v1

    • [cs.CL]Paraphrasing Verbs for Noun Compound Interpretation
    Preslav Nakov
    http://arxiv.org/abs/1911.08762v1

    • [cs.CL]Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network
    Wenxiang Jiao, Michael R. Lyu, Irwin King
    http://arxiv.org/abs/1911.09075v1

    • [cs.CL]Red Dragon AI at TextGraphs 2019 Shared Task: Language Model Assisted Explanation Generation
    Yew Ken Chia, Sam Witteveen, Martin Andrews
    http://arxiv.org/abs/1911.08976v1

    • [cs.CL]Rule-Guided Compositional Representation Learning on Knowledge Graphs
    Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang
    http://arxiv.org/abs/1911.08935v1

    • [cs.CL]SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings
    Todor Mihaylov, Preslav Nakov
    http://arxiv.org/abs/1911.08743v1

    • [cs.CL]Table-Of-Contents generation on contemporary documents
    Najah-Imane Bentabet, Rémi Juge, Sira Ferradans
    http://arxiv.org/abs/1911.08836v1

    • [cs.CL]Zero-Shot Semantic Parsing for Instructions
    Ofer Givoli, Roi Reichart
    http://arxiv.org/abs/1911.08827v1

    • [cs.CR]Sieving Fake News From Genuine: A Synopsis
    Shahid Alam, Abdulaziz Ravshanbekov
    http://arxiv.org/abs/1911.08516v1

    • [cs.CR]Web-sites password management (in)security: Evidence and remedies
    Simone Raponi, Roberto Di Pietro
    http://arxiv.org/abs/1911.08565v1

    • [cs.CV]3D-Rotation-Equivariant Quaternion Neural Networks
    Binbin Zhang, Wen Shen, Shikun Huang, Zhihua Wei, Quanshi Zhang
    http://arxiv.org/abs/1911.09040v1

    • [cs.CV]Action Recognition Using Volumetric Motion Representations
    Michael Peven, Gregory D. Hager, Austin Reiter
    http://arxiv.org/abs/1911.08511v1

    • [cs.CV]Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method
    Junjie Hu, Takayuki Okatani
    http://arxiv.org/abs/1911.08790v1

    • [cs.CV]Attention Guided Anomaly Detection and Localization in Images
    Shashanka Venkataramanan, Kuan-Chuan Peng, Rajat Vikram Singh, Abhijit Mahalanobis
    http://arxiv.org/abs/1911.08616v1

    • [cs.CV]CUP: Cluster Pruning for Compressing Deep Neural Networks
    Rahul Duggal, Cao Xiao, Richard Vuduc, Jimeng Sun
    http://arxiv.org/abs/1911.08630v1

    • [cs.CV]CoopNet: Cooperative Convolutional Neural Network for Low-Power MCUs
    Luca Mocerino, Andrea Calimera
    http://arxiv.org/abs/1911.08606v1

    • [cs.CV]Cross-Class Relevance Learning for Temporal Concept Localization
    Junwei Ma, Satya Krishna Gorti, Maksims Volkovs, Ilya Stanevich, Guangwei Yu
    http://arxiv.org/abs/1911.08548v1

    • [cs.CV]D3S — A Discriminative Single Shot Segmentation Tracker
    Alan Lukežič, Jiří Matas, Matej Kristan
    http://arxiv.org/abs/1911.08862v1

    • [cs.CV]DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners
    Xiaolong Hu, Zhulin An, Chuanguang Yang, Hui Zhu, Kaiqaing Xu, Yongjun Xu
    http://arxiv.org/abs/1911.08691v1

    • [cs.CV]Deep Learning based HEp-2 Image Classification: A Comprehensive Review
    Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou
    http://arxiv.org/abs/1911.08916v1

    • [cs.CV]Deep Motion Blur Removal Using Noisy/Blurry Image Pairs
    Shuang Zhang, Ada Zhen, Robert L. Stevenson
    http://arxiv.org/abs/1911.08541v1

    • [cs.CV]DermGAN: Synthetic Generation of Clinical Skin Images with Pathology
    Amirata Ghorbani, Vivek Natarajan, David Coz, Yuan Liu
    http://arxiv.org/abs/1911.08716v1

    • [cs.CV]Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning
    Yulin Sun, Zhao Zhang, Weiming Jiang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang
    http://arxiv.org/abs/1911.08680v1

    • [cs.CV]Efficient Derivative Computation for Cumulative B-Splines on Lie Groups
    Christiane Sommer, Vladyslav Usenko, David Schubert, Nikolaus Demmel, Daniel Cremers
    http://arxiv.org/abs/1911.08860v1

    • [cs.CV]EfficientDet: Scalable and Efficient Object Detection
    Mingxing Tan, Ruoming Pang, Quoc V. Le
    http://arxiv.org/abs/1911.09070v1

    • [cs.CV]Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery
    Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akcay, Toby P. Breckon
    http://arxiv.org/abs/1911.08966v1

    • [cs.CV]Event-based Object Detection and Tracking for Space Situational Awareness
    Saeed Afshar, Andrew P Nicholson, Andre van Schaik, Gregory Cohen
    http://arxiv.org/abs/1911.08730v1

    • [cs.CV]Experimental Exploration of Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection
    Ganesh Samarth C. A., Neelanjan Bhowmik, Toby P. Breckon
    http://arxiv.org/abs/1911.09010v1

    • [cs.CV]Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA
    Badri N. Patro, Anupriy, Vinay P. Namboodiri
    http://arxiv.org/abs/1911.08618v1

    • [cs.CV]Exploring the Origins and Prevalence of Texture Bias in Convolutional Neural Networks
    Katherine L. Hermann, Simon Kornblith
    http://arxiv.org/abs/1911.09071v1

    • [cs.CV]Fast and Flexible Image Blind Denoising via Competition of Experts
    Shunta Maeda
    http://arxiv.org/abs/1911.08724v1

    • [cs.CV]Fine-grained Synthesis of Unrestricted Adversarial Examples
    Omid Poursaeed, Tianxing Jiang, Harry Yang, Serge Belongie, Ser-Nam Lim
    http://arxiv.org/abs/1911.09058v1

    • [cs.CV]Hierarchical Attention Networks for Medical Image Segmentation
    Fei Ding, Gang Yang, Jinlu Liu, Jun Wu, Dayong Ding, Jie Xv, Gangwei Cheng, Xirong Li
    http://arxiv.org/abs/1911.08777v1

    • [cs.CV]Hybrid Composition with IdleBlock: More Efficient Networks for Image Recognition
    Bing Xu, Andrew Tulloch, Yunpeng Chen, Xiaomeng Yang, Lin Qiao
    http://arxiv.org/abs/1911.08609v1

    • [cs.CV]Improving Semantic Segmentation of Aerial Images Using Patch-based Attention
    Lei Ding, Hao Tang, Lorenzo Bruzzone
    http://arxiv.org/abs/1911.08877v1

    • [cs.CV]Instance-Invariant Adaptive Object Detection via Progressive Disentanglement
    Aming Wu, Yahong Han, Linchao Zhu, Yi Yang
    http://arxiv.org/abs/1911.08712v1

    • [cs.CV]Joint Super-Resolution and Alignment of Tiny Faces
    Yu Yin, Joseph P. Robinson, Yulun Zhang, Yun Fu
    http://arxiv.org/abs/1911.08566v1

    • [cs.CV]Learning Cross-modal Context Graph for Visual Grounding
    Yongfei Liu, Bo Wan, Xiaodan Zhu, Xuming He
    http://arxiv.org/abs/1911.09042v1

    • [cs.CV]Learning Modulated Loss for Rotated Object Detection
    Wen Qian, Xue Yang, Silong Peng, Yue Guo, Chijun Yan
    http://arxiv.org/abs/1911.08299v2

    • [cs.CV]Learning Stylized Character Expressions from Humans
    Deepali Aneja, Alex Colburn, Gary Faigin, Linda Shapiro, Barbara Mones
    http://arxiv.org/abs/1911.08591v1

    • [cs.CV]Learning mappings onto regularized latent spaces for biometric authentication
    Matteo Testa, Arslan Ali, Tiziano Bianchi, Enrico Magli
    http://arxiv.org/abs/1911.08764v1

    • [cs.CV]MMTM: Multimodal Transfer Module for CNN Fusion
    Hamid Reza Vaezi Joze, Amirreza Shaban, Michael L. Iuzzolino, Kazuhito Koishida
    http://arxiv.org/abs/1911.08670v1

    • [cs.CV]MetH: A family of high-resolution and variable-shape image challenges
    Ferran Parés Pont, Dario Garcia-Gasulla, Harald Servat, Jesús Labarta, Eduard Ayguadé
    http://arxiv.org/abs/1911.08953v1

    • [cs.CV]Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain
    Barak Battash, Haim Barad, Hanlin Tang, Amit Bleiweiss
    http://arxiv.org/abs/1911.08206v2

    • [cs.CV]Mini Lesions Detection on Diabetic Retinopathy Images via Large Scale CNN Features
    Qilei Chen, Xinzi Sun, Ning Zhang, Yu Cao, Benyuan Liu
    http://arxiv.org/abs/1911.08588v1

    • [cs.CV]Modal-aware Features for Multimodal Hashing
    Haien Zeng, Hanjiang Lai, Hanlu Chu, Yong Tang, Jian Yin
    http://arxiv.org/abs/1911.08479v1

    • [cs.CV]Open Cross-Domain Visual Search
    William Thong, Pascal Mettes, Cees G. M. Snoek
    http://arxiv.org/abs/1911.08621v1

    • [cs.CV]Real-time Scene Text Detection with Differentiable Binarization
    Minghui Liao, Zhaoyi Wan, Cong Yao, Kai Chen, Xiang Bai
    http://arxiv.org/abs/1911.08947v1

    • [cs.CV]RefineDetLite: A Lightweight One-stage Object Detection Framework for CPU-only Devices
    Chen Chen, Mengyuan Liu, Xiandong Meng, Wanpeng Xiao, Qi Ju
    http://arxiv.org/abs/1911.08855v1

    • [cs.CV]SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation
    Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xiansheng Hua
    http://arxiv.org/abs/1911.08688v1

    • [cs.CV]Search to Distill: Pearls are Everywhere but not the Eyes
    Yu Liu, Xuhui Jia, Mingxing Tan, Raviteja Vemulapalli, Yukun Zhu, Bradley Green, Xiaogang Wang
    http://arxiv.org/abs/1911.09074v1

    • [cs.CV]Self-supervised Learning of 3D Objects from Natural Images
    Hiroharu Kato, Tatsuya Harada
    http://arxiv.org/abs/1911.08850v1

    • [cs.CV]Shift Convolution Network for Stereo Matching
    Jian Xie
    http://arxiv.org/abs/1911.08896v1

    • [cs.CV]Sibling Neural Estimators: Improving Iterative Image Decoding with Gradient Communication
    Ankur Mali, Alexander G. Ororbia, Clyde Lee Giles
    http://arxiv.org/abs/1911.08478v1

    • [cs.CV]Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping
    Uttaran Bhattacharya, Christian Roncal, Trisha Mittal, Rohan Chandra, Aniket Bera, Dinesh Manocha
    http://arxiv.org/abs/1911.08708v1

    • [cs.CV]The dynamics of the stomatognathic system from 4D multimodal data
    Agnieszka A. Tomaka, Leszek Luchowski, Dariusz Pojda, Michał Tarnawski, Krzysztof Domino
    http://arxiv.org/abs/1911.08854v1

    • [cs.CV]Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
    Cun Xiaodong, Pun Chi-Man, Shi Cheng
    http://arxiv.org/abs/1911.08718v1

    • [cs.CV]Unified Multifaceted Feature Learning for Person Re-Identification
    Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen
    http://arxiv.org/abs/1911.08651v1

    • [cs.CV]Unsupervised Monocular Depth Prediction for Indoor Continuous Video Streams
    Yinglong Feng, Shuncheng Wu, Okan Köpüklü, Xueyang Kang, Federico Tombari
    http://arxiv.org/abs/1911.08995v1

    • [cs.CV]Utility Analysis of Network Architectures for 3D Point Cloud Processing
    Shikun Huang, Binbin Zhang, Wen Shen, Zhihua Wei, Quanshi Zhang
    http://arxiv.org/abs/1911.09053v1

    • [cs.CV]Vision: A Deep Learning Approach to provide walking assistance to the visually impaired
    Nikhil Thakurdesai, Anupam Tripathi, Dheeraj Butani, Smita Sankhe
    http://arxiv.org/abs/1911.08739v1

    • [cs.CV]Weak Supervision for Generating Pixel-Level Annotations in Scene Text Segmentation
    Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli
    http://arxiv.org/abs/1911.09026v1

    • [cs.CV]You Are Here: Geolocation by Embedding Maps and Images
    Obed Samano Abonce, Mengjie Zhou, Andrew Calway
    http://arxiv.org/abs/1911.08797v1

    • [cs.CY]Neural Approximate Dynamic Programming for On-Demand Ride-Pooling
    Sanket Shah, Meghna Lowalekar, Pradeep Varakantham
    http://arxiv.org/abs/1911.08842v1

    • [cs.CY]Putting the SC in SCORE: Solar Car Optimized Route Estimation and Smart Cities
    Mehrija Hasicic, Harun Siljak
    http://arxiv.org/abs/1911.08940v1

    • [cs.DC]A Code injection Method for Rapid Docker Image Building
    Yujing Wang, Qinyang Bao
    http://arxiv.org/abs/1911.07444v2

    • [cs.DC]Auto-Precision Scaling for Distributed Deep Learning
    Ruobing Han, Yang You, James Demmel
    http://arxiv.org/abs/1911.08907v1

    • [cs.DC]Characterizing Scalability of Sparse Matrix-Vector Multiplications on Phytium FT-2000+ Many-cores
    Donglin Chen, Jianbin Fang, Chuanfu Xu, Shizhao Chen, Zheng Wang
    http://arxiv.org/abs/1911.08779v1

    • [cs.DC]FeCaffe: FPGA-enabled Caffe with OpenCL for Deep Learning Training and Inference on Intel Stratix 10
    Ke He, Bo Liu, Yu Zhang, Andrew Ling, Dian Gu
    http://arxiv.org/abs/1911.08905v1

    • [cs.DC]How to profit from payments channels
    Oguzhan Ersoy, Stefanie Ross, Zekeriya Erkin
    http://arxiv.org/abs/1911.08803v1

    • [cs.DC]Parallel Implementations for Computing the Minimum Distance of a Random Linear Code on Multicomputers
    Gregorio Quintana-Ortí, Fernando Hernando, Francisco D. Igual
    http://arxiv.org/abs/1911.08963v1

    • [cs.DC]Robustness and efficiency of leaderless probabilistic consensus protocols within Byzantine infrastructures
    Angelo Capossele, Sebastian Mueller, Andreas Penzkofer
    http://arxiv.org/abs/1911.08787v1

    • [cs.DM]Steepest ascent can be exponential in bounded treewidth problems
    David A. Cohen, Martin C. Cooper, Artem Kaznatcheev, Mark Wallace
    http://arxiv.org/abs/1911.08600v1

    • [cs.GT]Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning
    Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe
    http://arxiv.org/abs/1911.08799v1

    • [cs.IT]Decoding Polar Codes via Weighted-Window Soft Cancellation for Slowly-Varying Channel
    Yong Fang
    http://arxiv.org/abs/1911.08763v1

    • [cs.IT]On the Hamming distances of repeated-root cyclic codes of length $5p^s$
    Xia Li, Qin Yue
    http://arxiv.org/abs/1911.07542v2

    • [cs.IT]Online Power Allocation at Energy Harvesting Transmitter for Multiple Receivers with and without Individual Rate Constraints for OMA and NOMA Transmissions
    Mateen Ashraf, Zijian Wang, Luc Vandendorpe
    http://arxiv.org/abs/1911.08839v1

    • [cs.IT]Partially Permuted Multi-Trellis Belief Propagation for Polar Codes
    Vismika Ranasinghe, Nandana Rajatheva, Matti Latva-aho
    http://arxiv.org/abs/1911.08868v1

    • [cs.LG]A CNN-RNN Framework for Crop Yield Prediction
    Saeed Khaki, Lizhi Wang, Sotirios V. Archontoulis
    http://arxiv.org/abs/1911.09045v1

    • [cs.LG]A Fast Sampling Gradient Tree Boosting Framework
    Daniel Chao Zhou, Zhongming Jin, Tong Zhang
    http://arxiv.org/abs/1911.08820v1

    • [cs.LG]A Framework for End-to-End Deep Learning-Based Anomaly Detection in Transportation Networks
    Neema Davis, Gaurav Raina, Krishna Jagannathan
    http://arxiv.org/abs/1911.08793v1

    • [cs.LG]Adaptive Wind Driven Optimization Trained Artificial Neural Networks
    Zikri Bayraktar
    http://arxiv.org/abs/1911.08942v1

    • [cs.LG]Adversarial Robustness of Flow-Based Generative Models
    Phillip Pope, Yogesh Balaji, Soheil Feizi
    http://arxiv.org/abs/1911.08654v1

    • [cs.LG]Avoiding Jammers: A Reinforcement Learning Approach
    Serkan Ak, Stefan Bruggenwirth
    http://arxiv.org/abs/1911.08874v1

    • [cs.LG]Bayesian Curiosity for Efficient Exploration in Reinforcement Learning
    Tom Blau, Lionel Ott, Fabio Ramos
    http://arxiv.org/abs/1911.08701v1

    • [cs.LG]Black-box Combinatorial Optimization using Models with Integer-valued Minima
    Laurens Bliek, Sicco Verwer, Mathijs de Weerdt
    http://arxiv.org/abs/1911.08817v1

    • [cs.LG]CAT: CRF-based ASR Toolkit
    Keyu An, Hongyu Xiang, Zhijian Ou
    http://arxiv.org/abs/1911.08747v1

    • [cs.LG]CNAK : Cluster Number Assisted K-means
    Jayasree Saha, Jayanta Mukherjee
    http://arxiv.org/abs/1911.08871v1

    • [cs.LG]Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data
    Azim Ahmadzadeh, Maxwell Hostetter, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk
    http://arxiv.org/abs/1911.09061v1

    • [cs.LG]Corruption Robust Exploration in Episodic Reinforcement Learning
    Thodoris Lykouris, Max Simchowitz, Aleksandrs Slivkins, Wen Sun
    http://arxiv.org/abs/1911.08689v1

    • [cs.LG]DARB: A Density-Aware Regular-Block Pruning for Deep Neural Networks
    Ao Ren, Tao Zhang, Yuhao Wang, Sheng Lin, Peiyan Dong, Yen-kuang Chen, Yuan Xie, Yanzhi Wang
    http://arxiv.org/abs/1911.08020v2

    • [cs.LG]Deep Anomaly Detection with Deviation Networks
    Guansong Pang, Chunhua Shen, Anton van den Hengel
    http://arxiv.org/abs/1911.08623v1

    • [cs.LG]Deep Minimax Probability Machine
    Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu
    http://arxiv.org/abs/1911.08723v1

    • [cs.LG]Deep Reinforcement Learning with Explicitly Represented Knowledge and Variable State and Action Spaces
    Jaromír Janisch, Tomáš Pevný, Viliam Lisý
    http://arxiv.org/abs/1911.08756v1

    • [cs.LG]Deep-seismic-prior-based reconstruction of seismic data using convolutional neural networks
    Qun Liu, Lihua Fu, Meng Zhang
    http://arxiv.org/abs/1911.08784v1

    • [cs.LG]Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
    Shiori Sagawa, Pang Wei Koh, Tatsunori B. Hashimoto, Percy Liang
    http://arxiv.org/abs/1911.08731v1

    • [cs.LG]Efficient decorrelation of features using Gramian in Reinforcement Learning
    Borislav Mavrin, Daniel Graves, Alan Chan
    http://arxiv.org/abs/1911.08610v1

    • [cs.LG]Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks
    Vibhavari Dasagi, Robert Lee, Jake Bruce, Jürgen Leitner
    http://arxiv.org/abs/1911.08666v1

    • [cs.LG]Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking
    Eric Crawford, Joelle Pineau
    http://arxiv.org/abs/1911.09033v1

    • [cs.LG]Exponential Family Graph Embeddings
    Abdulkadir Çelikkanat, Fragkiskos D. Malliaros
    http://arxiv.org/abs/1911.09007v1

    • [cs.LG]Fast and Deep Graph Neural Networks
    Claudio Gallicchio, Alessio Micheli
    http://arxiv.org/abs/1911.08941v1

    • [cs.LG]Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation
    Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu
    http://arxiv.org/abs/1911.08717v1

    • [cs.LG]Forbidden knowledge in machine learning — Reflections on the limits of research and publication
    Thilo Hagendorff
    http://arxiv.org/abs/1911.08603v1

    • [cs.LG]Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning
    Xiang Ni, Jing Li, Mo Yu, Wang Zhou, Kun-Lung Wu
    http://arxiv.org/abs/1911.08517v1

    • [cs.LG]Generate (non-software) Bugs to Fool Classifiers
    Hiromu Yakura, Youhei Akimoto, Jun Sakuma
    http://arxiv.org/abs/1911.08644v1

    • [cs.LG]Graph-Driven Generative Models for Heterogeneous Multi-Task Learning
    Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin
    http://arxiv.org/abs/1911.08709v1

    • [cs.LG]Gromov-Wasserstein Factorization Models for Graph Clustering
    Hongteng Xu
    http://arxiv.org/abs/1911.08530v1

    • [cs.LG]Heterogeneous Deep Graph Infomax
    Yuxiang Ren, Bo Liu, Chao Huang, Peng Dai, Liefeng Bo, Jiawei Zhang
    http://arxiv.org/abs/1911.08538v1

    • [cs.LG]Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning
    Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha
    http://arxiv.org/abs/1911.09046v1

    • [cs.LG]Hierarchical Average Reward Policy Gradient Algorithms
    Akshay Dharmavaram, Matthew Riemer, Shalabh Bhatnagar
    http://arxiv.org/abs/1911.08826v1

    • [cs.LG]Inspect Transfer Learning Architecture with Dilated Convolution
    Syeda Noor Jaha Azim, Md. Aminur Rab Ratul
    http://arxiv.org/abs/1911.08769v1

    • [cs.LG]Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees
    Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao, Xiaowen Chu
    http://arxiv.org/abs/1911.08727v1

    • [cs.LG]Learning Embeddings from Cancer Mutation Sets for Classification Tasks
    Geoffroy Dubourg-Felonneau, Yasmeen Kussad, Dominic Kirkham, John W Cassidy, Nirmesh Patel, Harry W Clifford
    http://arxiv.org/abs/1911.09008v1

    • [cs.LG]Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models
    Redouane Lguensat, Julien Le Sommer, Sammy Metref, Emmanuel Cosme, Ronan Fablet
    http://arxiv.org/abs/1911.08856v1

    • [cs.LG]Learning to Control Latent Representations for Few-Shot Learning of Named Entities
    Omar U. Florez, Erik Mueller
    http://arxiv.org/abs/1911.08542v1

    • [cs.LG]LionForests: Local Interpretation of Random Forests through Path Selection
    Ioannis Mollas, Grigorios Tsoumakas, Nick Bassiliades
    http://arxiv.org/abs/1911.08780v1

    • [cs.LG]Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates
    Cong Xie, Oluwasanmi Koyejo, Indranil Gupta, Haibin Lin
    http://arxiv.org/abs/1911.09030v1

    • [cs.LG]Log Message Anomaly Detection and Classification Using Auto-B/LSTM and Auto-GRU
    Amir Farzad, T. Aaron Gulliver
    http://arxiv.org/abs/1911.08744v1

    • [cs.LG]Logic-inspired Deep Neural Networks
    Minh Le
    http://arxiv.org/abs/1911.08635v1

    • [cs.LG]Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationships
    Yawogan Jean Eudes Gbodjo, Dino Ienco, Louise Leroux, Roberto Interdonato, Raffaele Gaetano, Babacar Ndao, Stephane Dupuy
    http://arxiv.org/abs/1911.08815v1

    • [cs.LG]On Node Features for Graph Neural Networks
    Chi Thang Duong, Thanh Dat Hoang, Ha The Hien Dang, Quoc Viet Hung Nguyen, Karl Aberer
    http://arxiv.org/abs/1911.08795v1

    • [cs.LG]Outside the Box: Abstraction-Based Monitoring of Neural Networks
    Thomas A. Henzinger, Anna Lukina, Christian Schilling
    http://arxiv.org/abs/1911.09032v1

    • [cs.LG]Representation Learning with Multisets
    Vasco Portilheiro
    http://arxiv.org/abs/1911.08577v1

    • [cs.LG]Response Transformation and Profit Decomposition for Revenue Uplift Modeling
    Robin M. Gubela, Stefan Lessmann, Szymon Jaroszewicz
    http://arxiv.org/abs/1911.08729v1

    • [cs.LG]Robust Learning of Discrete Distributions from Batches
    Ayush Jain, Alon Orlitsky
    http://arxiv.org/abs/1911.08532v1

    • [cs.LG]Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification
    Huan Zhang, Zhao Zhang, Mingbo Zhao, Qiaolin Ye, Min Zhang, Meng Wang
    http://arxiv.org/abs/1911.08678v1

    • [cs.LG]Shapelets for earthquake detection
    Monica Arul, Ahsan Kareem
    http://arxiv.org/abs/1911.09086v1

    • [cs.LG]TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction
    Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu
    http://arxiv.org/abs/1911.08684v1

    • [cs.LG]Towards a Unified Evaluation of Explanation Methods without Ground Truth
    Hao Zhang, Jiayi Chen, Haotian Xue, Quanshi Zhang
    http://arxiv.org/abs/1911.09017v1

    • [cs.LG]Transfer Learning Toolkit: Primers and Benchmarks
    Fuzhen Zhuang, Keyu Duan, Tongjia Guo, Yongchun Zhu, Dongbo Xi, Zhiyuan Qi, Qing He
    http://arxiv.org/abs/1911.08967v1

    • [cs.LG]Understanding Top-k Sparsification in Distributed Deep Learning
    Shaohuai Shi, Xiaowen Chu, Ka Chun Cheung, Simon See
    http://arxiv.org/abs/1911.08772v1

    • [cs.LG]Where is the Bottleneck of Adversarial Learning with Unlabeled Data?
    Jingfeng Zhang, Bo Han, Gang Niu, Tongliang Liu, Masashi Sugiyama
    http://arxiv.org/abs/1911.08696v1

    • [cs.NE]Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems
    Jordan MacLachlan, Yi Mei, Juergen Branke, Mengjie Zhang
    http://arxiv.org/abs/1911.08650v1

    • [cs.NE]Supported-BinaryNet: Bitcell Array-based Weight Supports for Dynamic Accuracy-Latency Trade-offs in SRAM-based Binarized Neural Network
    Shamma Nasrin, Srikanth Ramakrishna, Theja Tulabandhula, Amit Ranjan Trivedi
    http://arxiv.org/abs/1911.08518v1

    • [cs.NI]Delay-Aware Wireless Network Coding in Adversarial Traffic
    Yu-Pin Hsu
    http://arxiv.org/abs/1911.08078v2

    • [cs.RO]A Configuration-Space Decomposition Scheme for Learning-based Collision Checking
    Yiheng Han, Wang Zhao, Jia Pan, Zipeng Ye, Ran Yi, Yong-Jin Liu
    http://arxiv.org/abs/1911.08581v1

    • [cs.RO]A Human Action Descriptor Based on Motion Coordination
    Pietro Falco, Matteo Saveriano, Eka Gibran Hasany, Nicholas H. Kirk, Dongheui Lee
    http://arxiv.org/abs/1911.08928v1

    • [cs.RO]Intermittent Connectivity for Exploration in Communication-Constrained Multi-Agent Systems
    Filip Klaesson, Petter Nilsson, Aaron D. Ames, Richard M. Murray
    http://arxiv.org/abs/1911.08626v1

    • [cs.RO]On Policy Learning Robust to Irreversible Events: An Application to Robotic In-Hand Manipulation
    Pietro Falco, Abdallah Attawia, Matteo Saveriano, Dongheui Lee
    http://arxiv.org/abs/1911.08927v1

    • [cs.RO]Path tracking control of self-reconfigurable robot hTetro with four differential drive units
    Yuyao Shi, Mohan Rajesh Elara, Anh Vu Le, Veerajagadheswar Prabakaran, Kristin L. Wood
    http://arxiv.org/abs/1911.08746v1

    • [cs.RO]Robust Lane Marking Detection Algorithm Using Drivable Area Segmentation and Extended SLT
    Umar Ozgunalp, Rui Fan, Shanshan Cheng, Yuxiang Sun, Weixun Zuo, Yilong Zhu, Bohuan Xue, Linwei Zheng, Qing Liang, Ming Liu
    http://arxiv.org/abs/1911.09054v1

    • [cs.SD]Demystifying TasNet: A Dissecting Approach
    Jens Heitkaemper, Darius Jakobeit, Christoph Boeddeker, Lukas Drude, Reinhold Haeb-Umbach
    http://arxiv.org/abs/1911.08895v1

    • [cs.SD]Joint DNN-Based Multichannel Reduction of Acoustic Echo, Reverberation and Noise
    Guillaume Carbajal, Romain Serizel, Emmanuel Vincent, Eric Humbert
    http://arxiv.org/abs/1911.08934v1

    • [cs.SE]Commit2Vec: Learning Distributed Representations of Code Changes
    Rocìo Cabrera Lozoya, Arnaud Baumann, Antonino Sabetta, Michele Bezzi
    http://arxiv.org/abs/1911.07605v3

    • [econ.EM]Statistical Inference on Partially Linear Panel Model under Unobserved Linearity
    Ruiqi Liu, Ben Boukai, Zuofeng Shang
    http://arxiv.org/abs/1911.08830v1

    • [eess.IV]An Inception Inspired Deep Network to Analyse Fundus Images
    Fatmatulzehra Uslu
    http://arxiv.org/abs/1911.08715v1

    • [eess.IV]Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction
    Shuo Wang, Chengliang Dai, Yuanhan Mo, Elsa Angelini, Yike Guo, Wenjia Bai
    http://arxiv.org/abs/1911.08483v1

    • [eess.IV]Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models
    Xin He, Shihao Wang, Shaohuai Shi, Zhenheng Tang, Yuxin Wang, Zhihao Zhao, Jing Dai, Ronghao Ni, Xiaofeng Zhang, Xiaoming Liu, Zhili Wu, Wu Yu, Xiaowen Chu
    http://arxiv.org/abs/1911.08705v1

    • [eess.IV]Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution
    Chih-Chung Hsu, Chia-Hsiang Lin
    http://arxiv.org/abs/1911.08711v1

    • [eess.IV]Pan-Cancer Diagnostic Consensus Through Searching Archival Histopathology Images Using Artificial Intelligence
    Shivam Kalra, H. R. Tizhoosh, Sultaan Shah, Charles Choi, Savvas Damaskinos, Amir Safarpoor, Sobhan Shafiei, Morteza Babaie, Phedias Diamandis, Clinton JV Campbell, Liron Pantanowitz
    http://arxiv.org/abs/1911.08736v1

    • [eess.IV]Segmentation of Defective Skulls from CT Data for Tissue Modelling
    Oldřich Kodym, Michal Španěl, Adam Herout
    http://arxiv.org/abs/1911.08805v1

    • [eess.IV]W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping
    Kwang Hyun Uhm, Seung-Wook Kim, Seo-Won Ji, Sungjin Cho, Jun Pyo Hong, Sung-Jea Ko
    http://arxiv.org/abs/1911.08656v1

    • [eess.IV]Yottixel — An Image Search Engine for Large Archives of Histopathology Whole Slide Images
    S. Kalra, C. Choi, S. Shah, L. Pantanowitz, H. R. Tizhoosh
    http://arxiv.org/abs/1911.08748v1

    • [eess.SP]Multi-group Multicast Beamforming: Optimal Structure and Efficient Algorithms
    Min Dong, Qiqi Wang
    http://arxiv.org/abs/1911.08925v1

    • [eess.SP]Performance Monitoring for Live Systems with Soft FEC and Multilevel Modulation
    Tsuyoshi Yoshida, Mikael Mazur, Jochen Schröder, Magnus Karlsson, Erik Agrell
    http://arxiv.org/abs/1911.08641v1

    • [math.PR]Sparse random tensors: concentration, regularization and applications
    Zhixin Zhou, Yizhe Zhu
    http://arxiv.org/abs/1911.09063v1

    • [math.ST]Predictive properties of forecast combination, ensemble methods, and Bayesian predictive synthesis
    Kosaku Takanashi, Kenichiro McAlinn
    http://arxiv.org/abs/1911.08662v1

    • [physics.bio-ph]Machine Learning Classification Informed by a Functional Biophysical System
    Jason A. Platt, Anna Miller, Henry D. I. Abarbanel
    http://arxiv.org/abs/1911.08589v1

    • [physics.comp-ph]Towards Physics-informed Deep Learning for Turbulent Flow Prediction
    Rui Wang, Karthik Kashinath, Mustafa Mustafa, Adrian Albert, Rose Yu
    http://arxiv.org/abs/1911.08655v1

    • [physics.soc-ph]Empirical model of campus air temperature and urban morphology parameters based on field measurement and machine learning in Singapore
    Zhongqi Yu, Shisheng Chen, Nyuk Hien Wong, Marcel Ignatius, Jiyu Deng, Yueer He, Daniel Jun Chung Hii
    http://arxiv.org/abs/1911.08822v1

    • [physics.soc-ph]Multi-criteria community detection in International Trade Network
    Paolo Bartesaghi, Stefano Benati, Gian Paolo Clemente, Rosanna Grassi
    http://arxiv.org/abs/1911.08593v1

    • [physics.soc-ph]Universal and non-universal text statistics: Clustering coefficient for language identification
    Diego Espitia, Hernán Larralde
    http://arxiv.org/abs/1911.08915v1

    • [q-bio.PE]Modeling the Temporal Population Distribution of Ae. aegypti Mosquito using Big Earth Observation Data
    Oladimeji Mudele, Fabio M. Bayer, Lucas Zanandrez, Alvaro E. Eiras, Paolo Gamba
    http://arxiv.org/abs/1911.08979v1

    • [quant-ph]Stability of logarithmic Sobolev inequalities under a noncommutative change of measure
    Marius Junge, Nicholas LaRacuente, Cambyse Rouzé
    http://arxiv.org/abs/1911.08533v1

    • [stat.AP]A Framework for Challenge Design: Insight and Deployment Challenges to Address Medical Image Analysis Problems
    Adriënne M. Mendrik, Stephen R. Aylward
    http://arxiv.org/abs/1911.08531v1

    • [stat.AP]Bayesian Hierarchical Models for the Prediction of Volleyball Results
    Andrea Gabrio
    http://arxiv.org/abs/1911.08791v1

    • [stat.AP]Ensuring Reliable Monte Carlo Estimates of Network Properties
    Haema Nilakanta, Zack W. Almquist, Galin L. Jones
    http://arxiv.org/abs/1911.08682v1

    • [stat.AP]Examining the impact of data quality and completeness of electronic health records on predictions of patients risks of cardiovascular disease
    Yan Li, Matthew Sperrin, Glen P. Martin, Darren M Ashcroft, Tjeerd Pieter van Staa
    http://arxiv.org/abs/1911.08504v1

    • [stat.AP]Weather event severity prediction using buoy data and machine learning
    Vikas Ramachandra
    http://arxiv.org/abs/1911.09001v1

    • [stat.CO]Replication-based emulation of the response distribution of stochastic simulators using generalized lambda distributions
    X. Zhu, B. Sudret
    http://arxiv.org/abs/1911.09067v1

    • [stat.ME]Measuring spatiotemporal disease clustering with the tau statistic
    Timothy M. Pollington, Michael J. Tildesley, T. Déirdre Hollingsworth, Lloyd A. C. Chapman
    http://arxiv.org/abs/1911.08022v2

    • [stat.ME]Mixtures of multivariate generalized linear models with overlapping clusters
    Saverio Ranciati, Veronica Vinciotti, Ernst C. Wit, Giuliano Galimberti
    http://arxiv.org/abs/1911.08955v1

    • [stat.ME]Parsimonious Mixtures of Matrix Variate Bilinear Factor Analyzers
    Michael P. B. Gallaugher, Paul D. McNicholas
    http://arxiv.org/abs/1911.09012v1

    • [stat.ME]Symbolic Formulae for Linear Mixed Models
    Emi Tanaka, Francis K. C. Hui
    http://arxiv.org/abs/1911.08628v1

    • [stat.ML]Additive Bayesian Network Modelling with the R Package abn
    Gilles Kratzer, Fraser Iain Lewis, Arianna Comin, Marta Pittavino, Reinhard Furrer
    http://arxiv.org/abs/1911.09006v1

    • [stat.ML]Bayesian interpretation of SGD as Ito process
    Soma Yokoi, Issei Sato
    http://arxiv.org/abs/1911.09011v1

    • [stat.ML]Bayesian sparse convex clustering via global-local shrinkage priors
    Kaito Shimamura, Shuichi Kawano
    http://arxiv.org/abs/1911.08703v1

    • [stat.OT]Sharp hypotheses and bispatial inference
    Russell J. Bowater
    http://arxiv.org/abs/1911.09049v1