今日学术视野(2019.1.24)

作者: ZQtGe6 | 来源:发表于2019-01-24 04:55 被阅读158次

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.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.DL - 数字图书馆
cs.DS - 数据结构与算法
cs.GR - 计算机图形学
cs.GT - 计算机科学与博弈论
cs.IT - 信息论
cs.LG - 自动学习
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SI - 社交网络与信息网络
cs.SY - 系统与控制
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
gr-qc - 广义相对论与量子宇宙学
math.OC - 优化与控制
math.ST - 统计理论
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
stat.OT - 其他统计学

• [cond-mat.dis-nn]Message-passing algorithm of quantum annealing with nonstoquastic Hamiltonian
• [cond-mat.dis-nn]The adaptive interpolation method for proving replica formulas. Applications to the Curie-Weiss and Wigner spike models
• [cs.AI]A GFML-based Robot Agent for Human and Machine Cooperative Learning on Game of Go
• [cs.AI]Automatic Synthesis of Totally Self-Checking Circuits
• [cs.AI]CommunityGAN: Community Detection with Generative Adversarial Nets
• [cs.AI]Dialogue Design and Management for Multi-Session Casual Conversation with Older Adults
• [cs.AI]Differential Privacy for Power Grid Obfuscation
• [cs.AI]Enhancing Semantic Word Representations by Embedding Deeper Word Relationships
• [cs.AI]Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations
• [cs.AI]Mixed Formal Learning: A Path to Transparent Machine Learning
• [cs.AI]Multiobjective Coverage Path Planning: Enabling Automated Inspection of Complex, Real-World Structures
• [cs.AI]Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text
• [cs.CL]An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation
• [cs.CL]Beyond Turing: Intelligent Agents Centered on the User
• [cs.CL]Chemical Names Standardization using Neural Sequence to Sequence Model
• [cs.CL]Cross-lingual Language Model Pretraining
• [cs.CL]DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets
• [cs.CL]Debugging Frame Semantic Role Labeling
• [cs.CL]Deep learning and sub-word-unit approach in written art generation
• [cs.CL]Generating Textual Adversarial Examples for Deep Learning Models: A Survey
• [cs.CL]Hierarchical Attentional Hybrid Neural Networks for Document Classification
• [cs.CL]MOROCO: The Moldavian and Romanian Dialectal Corpus
• [cs.CL]Towards Universal End-to-End Affect Recognition from Multilingual Speech by ConvNets
• [cs.CR]Perils of Zero-Interaction Security in the Internet of Things
• [cs.CV]A Fourier Disparity Layer representation for Light Fields
• [cs.CV]Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy
• [cs.CV]Binary Image Selection (BISON): Interpretable Evaluation of Visual Grounding
• [cs.CV]CAE-P: Compressive Autoencoder with Pruning Based on ADMM
• [cs.CV]CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
• [cs.CV]Consistent Optimization for Single-Shot Object Detection
• [cs.CV]DF-SLAM: A Deep-Learning Enhanced Visual SLAM System based on Deep Local Features
• [cs.CV]Deep Level Sets: Implicit Surface Representations for 3D Shape Inference
• [cs.CV]Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going
• [cs.CV]Design of Real-time Semantic Segmentation Decoder for Automated Driving
• [cs.CV]Dynamic Curriculum Learning for Imbalanced Data Classification
• [cs.CV]Efficient Image Splicing Localization via Contrastive Feature Extraction
• [cs.CV]Ego-motion Sensor for Unmanned Aerial Vehicles Based on a Single-Board Computer
• [cs.CV]Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering
• [cs.CV]Face Detection and Face Recognition In the Wild Using Off-the-Shelf Freely Available Components
• [cs.CV]Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search
• [cs.CV]Fitting 3D Shapes from Partial and Noisy Point Clouds with Evolutionary Computing
• [cs.CV]Fully Convolutional Network-based Multi-Task Learning for Rectum and Rectal Cancer Segmentation
• [cs.CV]Generating Text Sequence Images for Recognition
• [cs.CV]Hybrid Task Cascade for Instance Segmentation
• [cs.CV]Hybrid coarse-fine classification for head pose estimation
• [cs.CV]Improved Selective Refinement Network for Face Detection
• [cs.CV]LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators
• [cs.CV]Linearized Multi-Sampling for Differentiable Image Transformation
• [cs.CV]Localizing dexterous surgical tools in X-ray for image-based navigation
• [cs.CV]MIMIC-CXR: A large publicly available database of labeled chest radiographs
• [cs.CV]Multiple Graph Adversarial Learning
• [cs.CV]On Compression of Unsupervised Neural Nets by Pruning Weak Connections
• [cs.CV]Pattern Generation Strategies for Improving Recognition of Handwritten Mathematical Expressions
• [cs.CV]Pedestrian Attribute Recognition: A Survey
• [cs.CV]RPC: A Large-Scale Retail Product Checkout Dataset
• [cs.CV]Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos
• [cs.CV]Real-time 3D Face-Eye Performance Capture of a Person Wearing VR Headset
• [cs.CV]Robust Angular Local Descriptor Learning
• [cs.CV]SUMNet: Fully Convolutional Model for Fast Segmentation of Anatomical Structures in Ultrasound Volumes
• [cs.CV]Salient Object Detection with Lossless Feature Reflection and Weighted Structural Loss
• [cs.CV]Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks
• [cs.CV]Semantic Image Networks for Human Action Recognition
• [cs.CV]Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks
• [cs.CV]Skeleton-based Action Recognition of People Handling Objects
• [cs.CV]Super-Trajectories: A Compact Yet Rich Video Representation
• [cs.CV]Understanding the Impact of Label Granularity on CNN-based Image Classification
• [cs.CV]Unsupervised Automated Event Detection using an Iterative Clustering based Segmentation Approach
• [cs.CV]Unsupervised Learning-based Depth Estimation aided Visual SLAM Approach
• [cs.CV]Use of First and Third Person Views for Deep Intersection Classification
• [cs.CV]Visual Entailment: A Novel Task for Fine-Grained Image Understanding
• [cs.CY]Development of verification system of socio-demographic data of virtual community member
• [cs.CY]Discovering Eastern European PCs by hacking them. Today
• [cs.CY]Hybrid Design Tools - Image Quality Assessment of a Digitally Augmented Blackboard Integrated System
• [cs.CY]The reach of commercially motivated junk news on Facebook
• [cs.DC]A Time-driven Data Placement Strategy for a Scientific Workflow Combining Edge Computing and Cloud Computing
• [cs.DC]Accelerating Channel Estimation and Demodulation of Uplink OFDM symbols for Large Scale Antenna Systems using GPU
• [cs.DC]Adapting The Secretary Hiring Problem for Optimal Hot-Cold Tier Placement under Top- $K$ Workloads
• [cs.DC]An Optimal Vector Clock Algorithm for Multithreaded Systems
• [cs.DC]Correctness Analysis of IBFT
• [cs.DC]No DNN Left Behind: Improving Inference in the Cloud with Multi-Tenancy
• [cs.DC]On the Necessary Memory to Compute the Plurality in Multi-Agent Systems
• [cs.DC]On the Radius of Nonsplit Graphs and Information Dissemination in Dynamic Networks
• [cs.DC]Optimal Task Scheduling Benefits From a Duplicate-Free State-Space
• [cs.DC]SVE-enabling Lattice QCD Codes
• [cs.DC]Turning Privacy Constraints into Syslog Analysis Advantage
• [cs.DC]Using Big Data Technologies for HEP Analysis
• [cs.DL]A principled methodology for comparing relatedness measures for clustering publications
• [cs.DL]Discovering seminal works with marker papers
• [cs.DS]Iterative Refinement for $\ell_p$ -norm Regression
• [cs.DS]Lower bounds for testing graphical models: colorings and antiferromagnetic Ising models
• [cs.GR]Generation High resolution 3D model from natural language by Generative Adversarial Network
• [cs.GT]Learning-Based Synthesis of Safety Controllers
• [cs.IT]"Fog" Optimization via Virtual Cells in Cellular Network Resource Allocation
• [cs.IT]A Generalisation of Interlinked Cycle Structures and Their Index Coding Capacity
• [cs.IT]A Lower Bound on the Error Exponent of Linear Block Codes over the Erasure Channel
• [cs.IT]A New Algorithm for Two-Stage Group Testing
• [cs.IT]A New Design Framework on Device-to-Device Coded Caching with Optimal Rate and Significantly Less Subpacketizations
• [cs.IT]A New Design of Private Information Retrieval for Storage Constrained Databases
• [cs.IT]A Submodularity-based Agglomerative Clustering Algorithm for the Privacy Funnel
• [cs.IT]A Unified Framework for Non-Orthogonal Multiple Access
• [cs.IT]A construction of UD $k$ -ary multi-user codes from $(2^m(k-1)+1)$ -ary codes for MAAC
• [cs.IT]Achievable Rates of Attack Detection Strategies in Echo-Assisted Communication
• [cs.IT]Achieving Vanishing Rate Loss in Decentralized Network MIMO
• [cs.IT]Active Hypothesis Testing: Beyond Chernoff-Stein
• [cs.IT]Anchor-Based Correction of Substitutions in Indexed Sets
• [cs.IT]CAMR: Coded Aggregated MapReduce
• [cs.IT]Cloud-Aided Interference Management with Cache-Enabled Edge Nodes and Users
• [cs.IT]Coded Caching in Fog-RAN: b-Matching Approach
• [cs.IT]Complete weight enumerators of a class of linear codes with two or three weights
• [cs.IT]Construction and Decoding of Product Codes with Non-Systematic Polar Codes
• [cs.IT]Constructions of Batch Codes via Finite Geometry
• [cs.IT]Design and Decoding of Polar Codes for the Gaussian Multiple Access Channel
• [cs.IT]Dual Loomis-Whitney inequalities via information theory
• [cs.IT]Equality in the Matrix Entropy-Power Inequality and Blind Separation of Real and Complex sources
• [cs.IT]Exact Recovery for a Family of Community-Detection Generative Models
• [cs.IT]Faithful Simulation of Distributed Quantum Measurements with Applications in Distributed Rate-Distortion Theory
• [cs.IT]Fundamental limits of many-user MAC with finite payloads and fading
• [cs.IT]How to Use Undiscovered Information Inequalities: Direct Applications of the Copy Lemma
• [cs.IT]Hybrid Precoder Design for Cache-enabled Millimeter Wave Radio Access Networks
• [cs.IT]Linear Index Coding With Multiple Senders and Extension to a Cellular Network
• [cs.IT]Minimum Age of Information in the Internet of Things with Non-uniform Status Packet Sizes
• [cs.IT]Modeling and Analysis of Two-Way Relay Non-Orthogonal Multiple Access Systems
• [cs.IT]New Bounds on the Field Size for Maximally Recoverable Codes Instantiating Grid-like Topologies
• [cs.IT]On the Number of Bins in Equilibria for Signaling Games
• [cs.IT]One-Bit Sensing of Low-Rank and Bisparse Matrices
• [cs.IT]Polar Coded Distributed Matrix Multiplication
• [cs.IT]Power Allocation in Multi-User Cellular Networks: Deep Reinforcement Learning Approaches
• [cs.IT]Probabilistic Forwarding of Coded Packets on Networks
• [cs.IT]Reduced Complexity Index Codes and Improved Upperbound on Broadcast Rate for Neighboring Interference Problems
• [cs.IT]Reed-Solomon Codes over Fields of Characteristic Zero
• [cs.IT]Robustness of Maximal $α$ -Leakage to Side Information
• [cs.IT]Single-Server Multi-Message Individually-Private Information Retrieval with Side Information
• [cs.IT]Teaching and learning in uncertainty
• [cs.IT]The Capacity of Multi-round Private Information Retrieval from Byzantine Databases
• [cs.IT]Unifying the Brascamp-Lieb Inequality and the Entropy Power Inequality
• [cs.IT]Using Quantization to Deploy Heterogeneous Nodes in Two-Tier Wireless Sensor Networks
• [cs.IT]Vardøhus Codes: Polar Codes Based on Castle Curves Kernels
• [cs.IT]Weakly-Private Information Retrieval
• [cs.LG]A Conjoint Application of Data Mining Techniques for Analysis of Global Terrorist Attacks -- Prevention and Prediction for Combating Terrorism
• [cs.LG]A Deterministic Approach to Avoid Saddle Points
• [cs.LG]A Short Survey on Probabilistic Reinforcement Learning
• [cs.LG]A deep learning approach to real-time parking occupancy prediction in spatio-termporal networks incorporating multiple spatio-temporal data sources
• [cs.LG]AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-deep Deep Neural Networks
• [cs.LG]Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks
• [cs.LG]Active Learning with Gaussian Processes for High Throughput Phenotyping
• [cs.LG]An Exact Reformulation of Feature-Vector-based Radial-Basis-Function Networks for Graph-based Observations
• [cs.LG]Calibration with Bias-Corrected Temperature Scaling Improves Domain Adaptation Under Label Shift in Modern Neural Networks
• [cs.LG]Distributed Nesterov gradient methods over arbitrary graphs
• [cs.LG]Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural Networks
• [cs.LG]Error-Correcting Neural Sequence Prediction
• [cs.LG]Fitting ReLUs via SGD and Quantized SGD
• [cs.LG]Modeling the Biological Pathology Continuum with HSIC-regularized Wasserstein Auto-encoders
• [cs.LG]Network Transplanting (extended abstract)
• [cs.LG]On Connected Sublevel Sets in Deep Learning
• [cs.LG]Overfitting Mechanism and Avoidance in Deep Neural Networks
• [cs.LG]Perception-in-the-Loop Adversarial Examples
• [cs.LG]Predicting wind pressures around circular cylinders using machine learning techniques
• [cs.LG]Reducing state updates via Gaussian-gated LSTMs
• [cs.LG]Removal of Batch Effects using Generative Adversarial Networks
• [cs.LG]Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs
• [cs.LG]The autofeat Python Library for Automatic Feature Engineering and Selection
• [cs.LG]Understanding Multi-Step Deep Reinforcement Learning: A Systematic Study of the DQN Target
• [cs.LG]Universal Rules for Fooling Deep Neural Networks based Text Classification
• [cs.LG]Visual Imitation Learning with Recurrent Siamese Networks
• [cs.LG]We Are Not Your Real Parents: Telling Causal from Confounded using MDL
• [cs.NI]Elastic Multi-resource Network Slicing: Can Protection Lead to Improved Performance?
• [cs.NI]In Search of Lost QoS
• [cs.RO]An Integrated Approach to Autonomous Environment Modeling
• [cs.RO]CASCLIK: CasADi-Based Closed-Loop Inverse Kinematics
• [cs.RO]Comparing Direct and Indirect Representations for Environment-Specific Robot Component Design
• [cs.RO]Context-Aware Route Planning for Automated Warehouses
• [cs.RO]Improved Discrete RRT for Coordinated Multi-robot Planning
• [cs.RO]Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems
• [cs.RO]Neuroflight: Next Generation Flight Control Firmware
• [cs.RO]Observability-aware Self-Calibration of Visual and Inertial Sensors for Ego-Motion Estimation
• [cs.RO]On multi-robot search for a stationary object
• [cs.RO]Path Planning for a Formation of Mobile Robots with Split and Merge
• [cs.RO]Robust Recovery Controller for a Quadrupedal Robot using Deep Reinforcement Learning
• [cs.SI]Disturbed YouTube for Kids: Characterizing and Detecting Disturbing Content on YouTube
• [cs.SI]Network Embedding for Cross-network Node Classification
• [cs.SI]Positioning services of a travel agency in social networks
• [cs.SI]Ranking and Cooperation in Real-World Complex Networks
• [cs.SI]Seed-Driven Geo-Social Data Extraction - Full Version
• [cs.SI]Signed Network Structural Analysis and Applications with a Focus on Balance Theory
• [cs.SI]Unsupervised User Identity Linkage via Factoid Embedding
• [cs.SY]Earthquake Early Warning and Beyond: Systems Challenges in Smartphone-based Seismic Network
• [cs.SY]Performance Characterization Using AoI in a Single-loop Networked Control System
• [eess.AS]Learning sound representations using trainable COPE feature extractors
• [eess.IV]PadChest: A large chest x-ray image dataset with multi-label annotated reports
• [eess.IV]Prior Information Guided Regularized Deep Learning for Cell Nucleus Detection
• [eess.SP]Polarization-ring-switching for nonlinearity-tolerant geometrically-shaped four-dimensional formats maximizing generalized mutual information
• [gr-qc]The Physics of Eccentric Binary Black Hole Mergers. A Numerical Relativity Perspective
• [math.OC]Admissibility of solution estimators for stochastic optimization
• [math.OC]Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization
• [math.ST]Bayesian Pseudo Posterior Synthesis for Data Privacy Protection
• [math.ST]Minimal penalties and the slope heuristics: a survey
• [math.ST]Simultaneous Confidence Bands for Functional Data Using the Gaussian Kinematic Formula
• [math.ST]Spectral Graph Analysis: A Unified Explanation and Modern Perspectives
• [math.ST]Synthesis and analysis in total variation regularization
• [math.ST]Tuning parameter selection rules for nuclear norm regularized multivariate linear regression
• [stat.AP]Bayesian Prediction of Nitrate Concentration Using a Gaussian Log-Gaussian Spatial Model with Measurement Error in Explanatory Variables
• [stat.AP]Bayesian additive regression trees and the General BART model
• [stat.AP]The posterior probability of a null hypothesis given a statistically significant result
• [stat.AP]Understanding and predicting travel time with spatio-temporal features of network traffic flow, weather and incidents
• [stat.ME]A simple recipe for making accurate parametric inference in finite sample
• [stat.ME]Bernstein Polynomial Model for Nonparametric Multivariate Density
• [stat.ME]Modal clustering asymptotics with applications to bandwidth selection
• [stat.ME]Modelling Numerical Systems with Two Distinct Labelled Output Classes
• [stat.ME]Penalized Interaction Estimation for Ultrahigh Dimensional Quadratic Regression
• [stat.ML]Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances
• [stat.ML]Fast and Robust Shortest Paths on Manifolds Learned from Data
• [stat.ML]Online Estimation of Multiple Dynamic Graphs in Pattern Sequences
• [stat.ML]Sensitivity Analysis of Deep Neural Networks
• [stat.ML]Support Estimation via Regularized and Weighted Chebyshev Approximations
• [stat.ML]Training Neural Networks as Learning Data-adaptive Kernels: Provable Representation and Approximation Benefits
• [stat.ML]Training Neural Networks with Local Error Signals
• [stat.OT]Fitting A Mixture Distribution to Data: Tutorial

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• [cond-mat.dis-nn]Message-passing algorithm of quantum annealing with nonstoquastic Hamiltonian
Masayuki Ohzeki
http://arxiv.org/abs/1901.06901v1

• [cond-mat.dis-nn]The adaptive interpolation method for proving replica formulas. Applications to the Curie-Weiss and Wigner spike models
Jean Barbier, Nicolas Macris
http://arxiv.org/abs/1901.06516v1

• [cs.AI]A GFML-based Robot Agent for Human and Machine Cooperative Learning on Game of Go
Chang-Shing Lee, Mei-Hui Wang, Li-Chuang Chen, Yusuke Nojima, Tzong-Xiang Huang, Jinseok Woo, Naoyuki Kubota, Eri Sato-Shimokawara, Toru Yamaguchi
http://arxiv.org/abs/1901.07191v1

• [cs.AI]Automatic Synthesis of Totally Self-Checking Circuits
Michael Garvie, Phil Husbands
http://arxiv.org/abs/1901.07023v1

• [cs.AI]CommunityGAN: Community Detection with Generative Adversarial Nets
Yuting Jia, Qinqin Zhang, Weinan Zhang, Xinbing Wang
http://arxiv.org/abs/1901.06631v1

• [cs.AI]Dialogue Design and Management for Multi-Session Casual Conversation with Older Adults
S. Zahra Razavi, Lenhart K. Schubert, Benjamin Kane, Mohammad Rafayet Ali, Kimberly Van Orden, Tianyi Ma
http://arxiv.org/abs/1901.06620v1

• [cs.AI]Differential Privacy for Power Grid Obfuscation
Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck
http://arxiv.org/abs/1901.06949v1

• [cs.AI]Enhancing Semantic Word Representations by Embedding Deeper Word Relationships
Anupiya Nugaliyadde, Kok Wai Wong, Ferdous Sohel, Hong Xie
http://arxiv.org/abs/1901.07176v1

• [cs.AI]Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations
Hongyang Gao, Yongjun Chen, Shuiwang Ji
http://arxiv.org/abs/1901.06965v1

• [cs.AI]Mixed Formal Learning: A Path to Transparent Machine Learning
Sandra Carrico
http://arxiv.org/abs/1901.06622v1

• [cs.AI]Multiobjective Coverage Path Planning: Enabling Automated Inspection of Complex, Real-World Structures
Kai Olav Ellefsen, Herman A. Lepikson, Jan C. Albiez
http://arxiv.org/abs/1901.07272v1

• [cs.AI]Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text
Guangneng Hu, Yu Zhang, Qiang Yang
http://arxiv.org/abs/1901.07199v1

• [cs.CL]An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation
Xiang Kong, Bohan Li, Graham Neubig, Eduard Hovy, Yiming Yang
http://arxiv.org/abs/1901.07129v1

• [cs.CL]Beyond Turing: Intelligent Agents Centered on the User
Maxine Eskenazi, Shikib Mehri, Evgeniia Razumovskaia, Tiancheng Zhao
http://arxiv.org/abs/1901.06613v1

• [cs.CL]Chemical Names Standardization using Neural Sequence to Sequence Model
Junlang Zhan, Hai Zhao
http://arxiv.org/abs/1901.07003v1

• [cs.CL]Cross-lingual Language Model Pretraining
Guillaume Lample, Alexis Conneau
http://arxiv.org/abs/1901.07291v1

• [cs.CL]DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets
Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji
http://arxiv.org/abs/1901.07005v1

• [cs.CL]Debugging Frame Semantic Role Labeling
Alexandre Kabbach
http://arxiv.org/abs/1901.07475v1

• [cs.CL]Deep learning and sub-word-unit approach in written art generation
Krzysztof Wołk, Emilia Zawadzka-Gosk, Wojciech Czarnowski
http://arxiv.org/abs/1901.07426v1

• [cs.CL]Generating Textual Adversarial Examples for Deep Learning Models: A Survey
Wei Emma Zhang, Quan Z. Sheng, Ahoud Abdulrahmn F Alhazmi
http://arxiv.org/abs/1901.06796v1

• [cs.CL]Hierarchical Attentional Hybrid Neural Networks for Document Classification
Jader Abreu, Luis Fred, David Macêdo, Cleber Zanchettin
http://arxiv.org/abs/1901.06610v1

• [cs.CL]MOROCO: The Moldavian and Romanian Dialectal Corpus
Andrei M. Butnaru, Radu Tudor Ionescu
http://arxiv.org/abs/1901.06543v1

• [cs.CL]Towards Universal End-to-End Affect Recognition from Multilingual Speech by ConvNets
Dario Bertero, Onno Kampman, Pascale Fung
http://arxiv.org/abs/1901.06486v1

• [cs.CR]Perils of Zero-Interaction Security in the Internet of Things
Mikhail Fomichev, Max Maass, Lars Almon, Alejandro Molina, Matthias Hollick
http://arxiv.org/abs/1901.07255v1

• [cs.CV]A Fourier Disparity Layer representation for Light Fields
Mikael Le Pendu, Christine Guillemot, Aljosa Smolic
http://arxiv.org/abs/1901.06919v1

• [cs.CV]Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy
Daniele Ravì, Agnieszka Barbara Szczotka, Stephen P Pereira, Tom Vercauteren
http://arxiv.org/abs/1901.06988v1

• [cs.CV]Binary Image Selection (BISON): Interpretable Evaluation of Visual Grounding
Hexiang Hu, Ishan Misra, Laurens van der Maaten
http://arxiv.org/abs/1901.06595v1

• [cs.CV]CAE-P: Compressive Autoencoder with Pruning Based on ADMM
Haimeng Zhao
http://arxiv.org/abs/1901.07196v1

• [cs.CV]CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng
http://arxiv.org/abs/1901.07031v1

• [cs.CV]Consistent Optimization for Single-Shot Object Detection
Tao Kong, Fuchun Sun, Huaping Liu, Yuning Jiang, Jianbo Shi
http://arxiv.org/abs/1901.06563v1

• [cs.CV]DF-SLAM: A Deep-Learning Enhanced Visual SLAM System based on Deep Local Features
Rong Kang, Jieqi Shi, Xueming Li, Yang Liu, Xiao Liu
http://arxiv.org/abs/1901.07223v1

• [cs.CV]Deep Level Sets: Implicit Surface Representations for 3D Shape Inference
Mateusz Michalkiewicz, Jhony K. Pontes, Dominic Jack, Mahsa Baktashmotlagh, Anders Eriksson
http://arxiv.org/abs/1901.06802v1

• [cs.CV]Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going
Erwei Wang, James J. Davis, Ruizhe Zhao, Ho-Cheung Ng, Xinyu Niu, Wayne Luk, Peter Y. K. Cheung, George A. Constantinides
http://arxiv.org/abs/1901.06955v1

• [cs.CV]Design of Real-time Semantic Segmentation Decoder for Automated Driving
Arindam Das, Saranya Kandan, Senthil Yogamani, Pavel Krizek
http://arxiv.org/abs/1901.06580v1

• [cs.CV]Dynamic Curriculum Learning for Imbalanced Data Classification
Yiru Wang, Weihao Gan, Wei Wu, Junjie Yan
http://arxiv.org/abs/1901.06783v1

• [cs.CV]Efficient Image Splicing Localization via Contrastive Feature Extraction
Ronald Salloum, C. -C. Jay Kuo
http://arxiv.org/abs/1901.07172v1

• [cs.CV]Ego-motion Sensor for Unmanned Aerial Vehicles Based on a Single-Board Computer
Gaël Écorchard, Adam Heinrich, Libor Přeučil
http://arxiv.org/abs/1901.07278v1

• [cs.CV]Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering
Binghui Chen, Weihong Deng
http://arxiv.org/abs/1901.07169v1

• [cs.CV]Face Detection and Face Recognition In the Wild Using Off-the-Shelf Freely Available Components
Hira Ahmad
http://arxiv.org/abs/1901.06585v1

• [cs.CV]Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search
Xiangxiang Chu, Bo Zhang, Hailong Ma, Ruijun Xu, Jixiang Li, Qingyuan Li
http://arxiv.org/abs/1901.07261v1

• [cs.CV]Fitting 3D Shapes from Partial and Noisy Point Clouds with Evolutionary Computing
Jean F. Liénard
http://arxiv.org/abs/1901.06722v1

• [cs.CV]Fully Convolutional Network-based Multi-Task Learning for Rectum and Rectal Cancer Segmentation
Joohyung Lee, Ji Eun Oh, Min Ju Kim, Bo Yun Hur, Sun Ah Cho, Dae Kyung Sohn
http://arxiv.org/abs/1901.07213v1

• [cs.CV]Generating Text Sequence Images for Recognition
Yanxiang Gong, Linjie Deng, Zheng Ma, Mei Xie
http://arxiv.org/abs/1901.06782v1

• [cs.CV]Hybrid Task Cascade for Instance Segmentation
Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin
http://arxiv.org/abs/1901.07518v1

• [cs.CV]Hybrid coarse-fine classification for head pose estimation
Haofan Wang, Zhenghua Chen, Yi Zhou
http://arxiv.org/abs/1901.06778v1

• [cs.CV]Improved Selective Refinement Network for Face Detection
Shifeng Zhang, Rui Zhu, Xiaobo Wang, Hailin Shi, Tianyu Fu, Shuo Wang, Tao Mei
http://arxiv.org/abs/1901.06651v1

• [cs.CV]LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators
Jianan Li, Jimei Yang, Aaron Hertzmann, Jianming Zhang, Tingfa Xu
http://arxiv.org/abs/1901.06767v1

• [cs.CV]Linearized Multi-Sampling for Differentiable Image Transformation
Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi
http://arxiv.org/abs/1901.07124v1

• [cs.CV]Localizing dexterous surgical tools in X-ray for image-based navigation
Cong Gao, Mathias Unberath, Russell Taylor, Mehran Armand
http://arxiv.org/abs/1901.06672v1

• [cs.CV]MIMIC-CXR: A large publicly available database of labeled chest radiographs
Alistair E. W. Johnson, Tom J. Pollard, Seth Berkowitz, Nathaniel R. Greenbaum, Matthew P. Lungren, Chih-ying Deng, Roger G. Mark, Steven Horng
http://arxiv.org/abs/1901.07042v1

• [cs.CV]Multiple Graph Adversarial Learning
Bo Jiang, Ziyan Zhang, Jin Tang, Bin Luo
http://arxiv.org/abs/1901.07439v1

• [cs.CV]On Compression of Unsupervised Neural Nets by Pruning Weak Connections
Zhiwen Zuo, Lei Zhao, Liwen Zuo, Feng Jiang, Wei Xing, Dongming Lu
http://arxiv.org/abs/1901.07066v1

• [cs.CV]Pattern Generation Strategies for Improving Recognition of Handwritten Mathematical Expressions
Anh Duc Le, Bipin Indurkhya, Masaki Nakagawa
http://arxiv.org/abs/1901.06763v1

• [cs.CV]Pedestrian Attribute Recognition: A Survey
Xiao Wang, Shaofei Zheng, Rui Yang, Bin Luo, Jin Tang
http://arxiv.org/abs/1901.07474v1

• [cs.CV]RPC: A Large-Scale Retail Product Checkout Dataset
Xiu-Shen Wei, Quan Cui, Lei Yang, Peng Wang, Lingqiao Liu
http://arxiv.org/abs/1901.07249v1

• [cs.CV]Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos
Dongliang He, Xiang Zhao, Jizhou Huang, Fu Li, Xiao Liu, Shilei Wen
http://arxiv.org/abs/1901.06829v1

• [cs.CV]Real-time 3D Face-Eye Performance Capture of a Person Wearing VR Headset
Guoxian Song, Jianfei Cai, Tat-Jen Cham, Jianmin Zheng, Juyong Zhang, Henry Fuchs
http://arxiv.org/abs/1901.06765v1

• [cs.CV]Robust Angular Local Descriptor Learning
Yanwu Xu, Mingming Gong, Tongliang Liu, Kayhan Batmanghelich, Chaohui Wang
http://arxiv.org/abs/1901.07076v1

• [cs.CV]SUMNet: Fully Convolutional Model for Fast Segmentation of Anatomical Structures in Ultrasound Volumes
Sumanth Nandamuri, Debarghya China, Pabitra Mitra, Debdoot Sheet
http://arxiv.org/abs/1901.06920v1

• [cs.CV]Salient Object Detection with Lossless Feature Reflection and Weighted Structural Loss
Pingping Zhang, Wei Liu, Huchuan Lu, Chunhua Shen
http://arxiv.org/abs/1901.06823v1

• [cs.CV]Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks
Debarghya China, Pabitra Mitra, Debdoot Sheet
http://arxiv.org/abs/1901.06926v1

• [cs.CV]Semantic Image Networks for Human Action Recognition
Sunder Ali Khowaja, Seok-Lyong Lee
http://arxiv.org/abs/1901.06792v1

• [cs.CV]Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks
Richard McKinley, Rik Wepfer, Fabian Aschwanden, Lorenz Grunder, Raphaela Muri, Christian Rummel, Rajeev Verma, Christian Weisstanner, Mauricio Reyes, Anke Salmen, Andrew Chan, Franca Wagner, Roland Wiest
http://arxiv.org/abs/1901.07419v1

• [cs.CV]Skeleton-based Action Recognition of People Handling Objects
Sunoh Kim, Kimin Yun, Jongyoul Park, Jin Young Choi
http://arxiv.org/abs/1901.06882v1

• [cs.CV]Super-Trajectories: A Compact Yet Rich Video Representation
Ijaz Akhter, Cheong Loong Fah, Richard Hartley
http://arxiv.org/abs/1901.07273v1

• [cs.CV]Understanding the Impact of Label Granularity on CNN-based Image Classification
Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu
http://arxiv.org/abs/1901.07012v1

• [cs.CV]Unsupervised Automated Event Detection using an Iterative Clustering based Segmentation Approach
Deepak K. Gupta, Rohit K. Shrivastava, Suhas Phadke, Jeroen Goudswaard
http://arxiv.org/abs/1901.07222v1

• [cs.CV]Unsupervised Learning-based Depth Estimation aided Visual SLAM Approach
Mingyang Geng, Suning Shang, Bo Ding, Huaimin Wang, Pengfei Zhang, Lei Zhang
http://arxiv.org/abs/1901.07288v1

• [cs.CV]Use of First and Third Person Views for Deep Intersection Classification
Koji Takeda, Kanji Tanaka
http://arxiv.org/abs/1901.07446v1

• [cs.CV]Visual Entailment: A Novel Task for Fine-Grained Image Understanding
Ning Xie, Farley Lai, Derek Doran, Asim Kadav
http://arxiv.org/abs/1901.06706v1

• [cs.CY]Development of verification system of socio-demographic data of virtual community member
S. S. Fedushko
http://arxiv.org/abs/1901.07067v1

• [cs.CY]Discovering Eastern European PCs by hacking them. Today
Stefano Bodrato, Fabrizio Caruso, Giovanni A. Cignoni
http://arxiv.org/abs/1901.06922v1

• [cs.CY]Hybrid Design Tools - Image Quality Assessment of a Digitally Augmented Blackboard Integrated System
Ovidiu Banias, Camil Octavian Milincu
http://arxiv.org/abs/1901.06991v1

• [cs.CY]The reach of commercially motivated junk news on Facebook
Peter Burger, Soeradj Kanhai, Alexander Pleijter, Suzan Verberne
http://arxiv.org/abs/1901.07290v1

• [cs.DC]A Time-driven Data Placement Strategy for a Scientific Workflow Combining Edge Computing and Cloud Computing
Bing Lin, Fangning Zhu, Jianshan Zhang, Jiaqing Chen, Xing Chen, Neal N. Xiong, Jaime Lloret Mauri
http://arxiv.org/abs/1901.07216v1

• [cs.DC]Accelerating Channel Estimation and Demodulation of Uplink OFDM symbols for Large Scale Antenna Systems using GPU
Bhargav Gokalgandhi, Christina Segerholm, Nilanjan Paul, Ivan Seskar
http://arxiv.org/abs/1901.07499v1

• [cs.DC]Adapting The Secretary Hiring Problem for Optimal Hot-Cold Tier Placement under Top- $K$ Workloads
Ben Blamey, Fredrik Wrede, Johan Karlsson, Andreas Hellander, Salman Toor
http://arxiv.org/abs/1901.07335v1

• [cs.DC]An Optimal Vector Clock Algorithm for Multithreaded Systems
Xiong Zheng, Vijay Garg
http://arxiv.org/abs/1901.06545v1

• [cs.DC]Correctness Analysis of IBFT
Roberto Saltini
http://arxiv.org/abs/1901.07160v1

• [cs.DC]No DNN Left Behind: Improving Inference in the Cloud with Multi-Tenancy
Amit Samanta, Suhas Shrinivasan, Antoine Kaufmann, Jonathan Mace
http://arxiv.org/abs/1901.06887v1

• [cs.DC]On the Necessary Memory to Compute the Plurality in Multi-Agent Systems
Emanuele Natale, Iliad Ramezani
http://arxiv.org/abs/1901.06549v1

• [cs.DC]On the Radius of Nonsplit Graphs and Information Dissemination in Dynamic Networks
Matthias Függer, Thomas Nowak, Kyrill Winkler
http://arxiv.org/abs/1901.06824v1

• [cs.DC]Optimal Task Scheduling Benefits From a Duplicate-Free State-Space
Michael Orr, Oliver Sinnen
http://arxiv.org/abs/1901.06899v1

• [cs.DC]SVE-enabling Lattice QCD Codes
Nils Meyer, Peter Georg, Dirk Pleiter, Stefan Solbrig, Tilo Wettig
http://arxiv.org/abs/1901.07294v1

• [cs.DC]Turning Privacy Constraints into Syslog Analysis Advantage
Siavash Ghiasvand, Florina M. Ciorba, Wolfgang E. Nagel
http://arxiv.org/abs/1901.06918v1

• [cs.DC]Using Big Data Technologies for HEP Analysis
Matteo Cremonesi, Claudio Bellini, Bianny Bian, Luca Canali, Vasileios Dimakopoulos, Peter Elmer, Ian Fisk, Maria Girone, Oliver Gutsche, Siew-Yan Hoh, Bo Jayatilaka, Viktor Khristenko, Andrea Luiselli, Andrew Melo, Evangelos Evangelos, Dominick Olivito, Jacopo Pazzini, Jim Pivarski, Alexey Svyatkovskiy, Marco Zanetti
http://arxiv.org/abs/1901.07143v1

• [cs.DL]A principled methodology for comparing relatedness measures for clustering publications
Ludo Waltman, Kevin W. Boyack, Giovanni Colavizza, Nees Jan van Eck
http://arxiv.org/abs/1901.06815v1

• [cs.DL]Discovering seminal works with marker papers
Robin Haunschild, Werner Marx
http://arxiv.org/abs/1901.07352v1

• [cs.DS]Iterative Refinement for $\ell_p$ -norm Regression
Deeksha Adil, Rasmus Kyng, Richard Peng, Sushant Sachdeva
http://arxiv.org/abs/1901.06764v1

• [cs.DS]Lower bounds for testing graphical models: colorings and antiferromagnetic Ising models
Ivona Bezakova, Antonio Blanca, Zongchen Chen, Daniel Štefankovič, Eric Vigoda
http://arxiv.org/abs/1901.07361v1

• [cs.GR]Generation High resolution 3D model from natural language by Generative Adversarial Network
Kentaro Fukamizu, Masaaki Kondo, Ryuichi Sakamoto
http://arxiv.org/abs/1901.07165v1

• [cs.GT]Learning-Based Synthesis of Safety Controllers
Daniel Neider, Oliver Markgraf
http://arxiv.org/abs/1901.06801v1

• [cs.IT]"Fog" Optimization via Virtual Cells in Cellular Network Resource Allocation
Michal Yemini, Andrea J. Goldsmith
http://arxiv.org/abs/1901.06669v1

• [cs.IT]A Generalisation of Interlinked Cycle Structures and Their Index Coding Capacity
Mahesh Babu Vaddi, B. Sundar Rajan
http://arxiv.org/abs/1901.06804v1

• [cs.IT]A Lower Bound on the Error Exponent of Linear Block Codes over the Erasure Channel
Enrico Paolini, Gianluigi Liva
http://arxiv.org/abs/1901.06975v1

• [cs.IT]A New Algorithm for Two-Stage Group Testing
Ilya Vorobyev
http://arxiv.org/abs/1901.06740v1

• [cs.IT]A New Design Framework on Device-to-Device Coded Caching with Optimal Rate and Significantly Less Subpacketizations
Xiang Zhang, Mingyue Ji
http://arxiv.org/abs/1901.07057v1

• [cs.IT]A New Design of Private Information Retrieval for Storage Constrained Databases
Nicholas Woolsey, Rong-Rong Chen, Mingyue Ji
http://arxiv.org/abs/1901.07490v1

• [cs.IT]A Submodularity-based Agglomerative Clustering Algorithm for the Privacy Funnel
Ni Ding, Parastoo Sadeghi
http://arxiv.org/abs/1901.06629v1

• [cs.IT]A Unified Framework for Non-Orthogonal Multiple Access
Xinwei Yue, Zhijin Qin, Yuanwei Liu, Shaoli Kang, Yue Chen
http://arxiv.org/abs/1901.06755v1

• [cs.IT]A construction of UD $k$ -ary multi-user codes from $(2^m(k-1)+1)$ -ary codes for MAAC
SHAN Lu, Wei Hou, Jun Cheng, Hiroshi Kamabe
http://arxiv.org/abs/1901.06757v1

• [cs.IT]Achievable Rates of Attack Detection Strategies in Echo-Assisted Communication
Mohit Goyal, J. Harshan
http://arxiv.org/abs/1901.07013v1

• [cs.IT]Achieving Vanishing Rate Loss in Decentralized Network MIMO
Antonio Bazco Nogueras, Lorenzo Miretti, Paul de Kerret, David Gesbert, Nicolas Gresset
http://arxiv.org/abs/1901.06849v1

• [cs.IT]Active Hypothesis Testing: Beyond Chernoff-Stein
Dhruva Kartik, Ashutosh Nayyar, Urbashi Mitra
http://arxiv.org/abs/1901.06795v1

• [cs.IT]Anchor-Based Correction of Substitutions in Indexed Sets
Andreas Lenz, Paul H. Siegel, Antonia Wachter-Zeh, Eitan Yaakobi
http://arxiv.org/abs/1901.06840v1

• [cs.IT]CAMR: Coded Aggregated MapReduce
Konstantinos Konstantinidis, Aditya Ramamoorthy
http://arxiv.org/abs/1901.07418v1

• [cs.IT]Cloud-Aided Interference Management with Cache-Enabled Edge Nodes and Users
Seyed Pooya Shariatpanahi, Jingjing Zhang, Osvaldo Simeone, Babak Hossein Khalaj, Mohammad-Ali Maddah-Ali
http://arxiv.org/abs/1901.06698v1

• [cs.IT]Coded Caching in Fog-RAN: b-Matching Approach
Bo Bai, Wanyi Li, Li Wang, Gong Zhang
http://arxiv.org/abs/1901.07316v1

• [cs.IT]Complete weight enumerators of a class of linear codes with two or three weights
Shudi Yang, Xiangli Kong
http://arxiv.org/abs/1901.07162v1

• [cs.IT]Construction and Decoding of Product Codes with Non-Systematic Polar Codes
Valerio Bioglio, Carlo Condo, Ingmar Land
http://arxiv.org/abs/1901.06892v1

• [cs.IT]Constructions of Batch Codes via Finite Geometry
Nikita Polyanskii, Ilya Vorobyev
http://arxiv.org/abs/1901.06741v1

• [cs.IT]Design and Decoding of Polar Codes for the Gaussian Multiple Access Channel
Evgeny Marshakov, Gleb Balitskiy, Kirill Andreev, Alexey Frolov
http://arxiv.org/abs/1901.07297v1

• [cs.IT]Dual Loomis-Whitney inequalities via information theory
Jing Hao, Varun Jog
http://arxiv.org/abs/1901.06789v1

• [cs.IT]Equality in the Matrix Entropy-Power Inequality and Blind Separation of Real and Complex sources
Olivier Rioul, Ram Zamir
http://arxiv.org/abs/1901.06905v1

• [cs.IT]Exact Recovery for a Family of Community-Detection Generative Models
Luca Corinzia, Paolo Penna, Luca Mondada, Joachim M. Buhmann
http://arxiv.org/abs/1901.06799v1

• [cs.IT]Faithful Simulation of Distributed Quantum Measurements with Applications in Distributed Rate-Distortion Theory
Mohsen Heidari, Touheed Anwar Atif, S. Sandeep Pradhan
http://arxiv.org/abs/1901.06788v1

• [cs.IT]Fundamental limits of many-user MAC with finite payloads and fading
Suhas S Kowshik, Yury Polyanskiy
http://arxiv.org/abs/1901.06732v1

• [cs.IT]How to Use Undiscovered Information Inequalities: Direct Applications of the Copy Lemma
Emirhan Gürpınar, Andrei Romashchenko
http://arxiv.org/abs/1901.07476v1

• [cs.IT]Hybrid Precoder Design for Cache-enabled Millimeter Wave Radio Access Networks
Shiwen He, Yongpeng Wu, Ju Ren, Yongming Huang, Robert Schober, Yaoxue Zhang
http://arxiv.org/abs/1901.07303v1

• [cs.IT]Linear Index Coding With Multiple Senders and Extension to a Cellular Network
Jae-Won Kim, Jong-Seon No
http://arxiv.org/abs/1901.07136v1

• [cs.IT]Minimum Age of Information in the Internet of Things with Non-uniform Status Packet Sizes
Bo Zhou, Walid Saad
http://arxiv.org/abs/1901.07069v1

• [cs.IT]Modeling and Analysis of Two-Way Relay Non-Orthogonal Multiple Access Systems
Xinwei Yue, Yuanwei Liu, Shaoli Kang, Arumugam Nallanathan, Yue Chen
http://arxiv.org/abs/1901.06644v1

• [cs.IT]New Bounds on the Field Size for Maximally Recoverable Codes Instantiating Grid-like Topologies
Xiangliang Kong, Jingxue Ma, Gennian Ge
http://arxiv.org/abs/1901.06915v1

• [cs.IT]On the Number of Bins in Equilibria for Signaling Games
Serkan~Sarıtaş, Philippe Furrer, Sinan~Gezici, Tamás Linder, Serdar~Yüksel
http://arxiv.org/abs/1901.06738v1

• [cs.IT]One-Bit Sensing of Low-Rank and Bisparse Matrices
Simon Foucart, Laurent Jacques
http://arxiv.org/abs/1901.06527v1

• [cs.IT]Polar Coded Distributed Matrix Multiplication
Burak Bartan, Mert Pilanci
http://arxiv.org/abs/1901.06811v1

• [cs.IT]Power Allocation in Multi-User Cellular Networks: Deep Reinforcement Learning Approaches
Fan Meng, Peng Chen, Lenan Wu, Julian Cheng
http://arxiv.org/abs/1901.07159v1

• [cs.IT]Probabilistic Forwarding of Coded Packets on Networks
B. R. Vinay Kumar, Navin Kashyap
http://arxiv.org/abs/1901.07498v1

• [cs.IT]Reduced Complexity Index Codes and Improved Upperbound on Broadcast Rate for Neighboring Interference Problems
Mahesh Babu Vaddi, B. Sundar Rajan
http://arxiv.org/abs/1901.07123v1

• [cs.IT]Reed-Solomon Codes over Fields of Characteristic Zero
Carmen Sippel, Cornelia Ott, Sven Puchinger, Martin Bossert
http://arxiv.org/abs/1901.06863v1

• [cs.IT]Robustness of Maximal $α$ -Leakage to Side Information
Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flavio P. Calmon
http://arxiv.org/abs/1901.07105v1

• [cs.IT]Single-Server Multi-Message Individually-Private Information Retrieval with Side Information
Anoosheh Heidarzadeh, Swanand Kadhe, Salim El Rouayheb, Alex Sprintson
http://arxiv.org/abs/1901.07509v1

• [cs.IT]Teaching and learning in uncertainty
Varun Jog
http://arxiv.org/abs/1901.07063v1

• [cs.IT]The Capacity of Multi-round Private Information Retrieval from Byzantine Databases
Xinyu Yao, Nan Liu, Wei Kang
http://arxiv.org/abs/1901.06907v1

• [cs.IT]Unifying the Brascamp-Lieb Inequality and the Entropy Power Inequality
Venkat Anantharam, Varun Jog, Chandra Nair
http://arxiv.org/abs/1901.06619v1

• [cs.IT]Using Quantization to Deploy Heterogeneous Nodes in Two-Tier Wireless Sensor Networks
Saeed Karimi-Bidhendi, Jun Guo, Hamid Jafarkhani
http://arxiv.org/abs/1901.06742v1

• [cs.IT]Vardøhus Codes: Polar Codes Based on Castle Curves Kernels
Eduardo Camps, Edgar Martínez-Moro, Eliseo Sarmiento
http://arxiv.org/abs/1901.06923v1

• [cs.IT]Weakly-Private Information Retrieval
Hsuan-Yin Lin, Siddhartha Kumar, Eirik Rosnes, Alexandre Graell i Amat, Eitan Yaakobi
http://arxiv.org/abs/1901.06730v1

• [cs.LG]A Conjoint Application of Data Mining Techniques for Analysis of Global Terrorist Attacks -- Prevention and Prediction for Combating Terrorism
Vivek Kumar, Manuel Mazzara, Maj. Gen., Angelo Messina, JooYoung Lee
http://arxiv.org/abs/1901.06483v1

• [cs.LG]A Deterministic Approach to Avoid Saddle Points
Lisa Maria Kreusser, Stanley J. Osher, Bao Wang
http://arxiv.org/abs/1901.06827v1

• [cs.LG]A Short Survey on Probabilistic Reinforcement Learning
Reazul Hasan Russel
http://arxiv.org/abs/1901.07010v1

• [cs.LG]A deep learning approach to real-time parking occupancy prediction in spatio-termporal networks incorporating multiple spatio-temporal data sources
Shuguan Yang, Wei Ma, Xidong Pi, Sean Qian
http://arxiv.org/abs/1901.06758v1

• [cs.LG]AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-deep Deep Neural Networks
Jinrong Guo, Wantao Liu, Wang Wang, Qu Lu, Songlin Hu, Jizhong Han, Ruixuan Li
http://arxiv.org/abs/1901.06773v1

• [cs.LG]Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks
Charbel Sakr, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Ankur Agrawal, Naresh Shanbhag, Kailash Gopalakrishnan
http://arxiv.org/abs/1901.06588v1

• [cs.LG]Active Learning with Gaussian Processes for High Throughput Phenotyping
Sumit Kumar, Wenhao Luo, George Kantor, Katia Sycara
http://arxiv.org/abs/1901.06803v1

• [cs.LG]An Exact Reformulation of Feature-Vector-based Radial-Basis-Function Networks for Graph-based Observations
Isaac J. Sledge, Jose C. Principe
http://arxiv.org/abs/1901.07484v1

• [cs.LG]Calibration with Bias-Corrected Temperature Scaling Improves Domain Adaptation Under Label Shift in Modern Neural Networks
Avanti Shrikumar, Anshul Kundaje
http://arxiv.org/abs/1901.06852v1

• [cs.LG]Distributed Nesterov gradient methods over arbitrary graphs
Ran Xin, Dusan Jakovetic, Usman A. Khan
http://arxiv.org/abs/1901.06995v1

• [cs.LG]Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural Networks
István Ketykó, Ferenc Kovács, Krisztián Zsolt Varga
http://arxiv.org/abs/1901.06958v1

• [cs.LG]Error-Correcting Neural Sequence Prediction
James O' Neill, Danushka Bollegala
http://arxiv.org/abs/1901.07002v1

• [cs.LG]Fitting ReLUs via SGD and Quantized SGD
Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, A. Salman Avestimehr
http://arxiv.org/abs/1901.06587v1

• [cs.LG]Modeling the Biological Pathology Continuum with HSIC-regularized Wasserstein Auto-encoders
Denny Wu, Hirofumi Kobayashi, Charles Ding, Lei Cheng, Keisuke Goda Marzyeh Ghassemi
http://arxiv.org/abs/1901.06618v1

• [cs.LG]Network Transplanting (extended abstract)
Quanshi Zhang, Yu Yang, Qian Yu, Ying Nian Wu
http://arxiv.org/abs/1901.06978v1

• [cs.LG]On Connected Sublevel Sets in Deep Learning
Quynh Nguyen
http://arxiv.org/abs/1901.07417v1

• [cs.LG]Overfitting Mechanism and Avoidance in Deep Neural Networks
Shaeke Salman, Xiuwen Liu
http://arxiv.org/abs/1901.06566v1

• [cs.LG]Perception-in-the-Loop Adversarial Examples
Mahmoud Salamati, Sadegh Soudjani, Rupak Majumdar
http://arxiv.org/abs/1901.06834v1

• [cs.LG]Predicting wind pressures around circular cylinders using machine learning techniques
Gang Hu, K. C. S. Kwok
http://arxiv.org/abs/1901.06752v1

• [cs.LG]Reducing state updates via Gaussian-gated LSTMs
Matthew Thornton, Jithendar Anumula, Shih-Chii Liu
http://arxiv.org/abs/1901.07334v1

• [cs.LG]Removal of Batch Effects using Generative Adversarial Networks
Uddeshya Upadhyay, Arjun Jain
http://arxiv.org/abs/1901.06654v1

• [cs.LG]Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs
Nicholas Watters, Loic Matthey, Christopher P. Burgess, Alexander Lerchner
http://arxiv.org/abs/1901.07017v1

• [cs.LG]The autofeat Python Library for Automatic Feature Engineering and Selection
Franziska Horn, Robert Pack, Michael Rieger
http://arxiv.org/abs/1901.07329v1

• [cs.LG]Understanding Multi-Step Deep Reinforcement Learning: A Systematic Study of the DQN Target
J. Fernando Hernandez-Garcia, Richard S. Sutton
http://arxiv.org/abs/1901.07510v1

• [cs.LG]Universal Rules for Fooling Deep Neural Networks based Text Classification
Di Li, Danilo Vasconcellos Vargas, Sakurai Kouichi
http://arxiv.org/abs/1901.07132v1

• [cs.LG]Visual Imitation Learning with Recurrent Siamese Networks
Glen Berseth, Christopher J. Pal
http://arxiv.org/abs/1901.07186v1

• [cs.LG]We Are Not Your Real Parents: Telling Causal from Confounded using MDL
David Kaltenpoth, Jilles Vreeken
http://arxiv.org/abs/1901.06950v1

• [stat.ML]Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances
Bugra Can, Mert Gurbuzbalaban, Lingjiong Zhu
http://arxiv.org/abs/1901.07445v1

• [stat.ML]Fast and Robust Shortest Paths on Manifolds Learned from Data
Georgios Arvanitidis, Søren Hauberg, Philipp Hennig, Michael Schober
http://arxiv.org/abs/1901.07229v1

• [stat.ML]Online Estimation of Multiple Dynamic Graphs in Pattern Sequences
Jimmy Gaudreault, Arunabh Saxena, Hideaki Shimazaki
http://arxiv.org/abs/1901.07298v1

• [stat.ML]Sensitivity Analysis of Deep Neural Networks
Hai Shu, Hongtu Zhu
http://arxiv.org/abs/1901.07152v1

• [stat.ML]Support Estimation via Regularized and Weighted Chebyshev Approximations
I, Chien, Olgica Milenkovic
http://arxiv.org/abs/1901.07506v1

• [stat.ML]Training Neural Networks as Learning Data-adaptive Kernels: Provable Representation and Approximation Benefits
Xialiang Dou, Tengyuan Liang
http://arxiv.org/abs/1901.07114v1

• [stat.ML]Training Neural Networks with Local Error Signals
Arild Nøkland, Lars Hiller Eidnes
http://arxiv.org/abs/1901.06656v1

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