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