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.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 math.PR - 概率 math.ST - 统计理论 q-bio.TO - 组织和器官 q-fin.ST - 统计金融学 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Few-Shot Bayesian Imitation Learning with Logic over Programs
    • [cs.CL]A Crowdsourced Frame Disambiguation Corpus with Ambiguity
    • [cs.CL]Adapting Sequence to Sequence models for Text Normalization in Social Media
    • [cs.CL]Building a mixed-lingual neural TTS system with only monolingual data
    • [cs.CL]CITE: A Corpus of Image—Text Discourse Relations
    • [cs.CL]Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation
    • [cs.CL]Direct speech-to-speech translation with a sequence-to-sequence model
    • [cs.CL]Evaluating the Representational Hub of Language and Vision Models
    • [cs.CL]FrameRank: A Text Processing Approach to Video Summarization
    • [cs.CL]IIT (BHU) Varanasi at MSR-SRST 2018: A Language Model Based Approach for Natural Language Generation
    • [cs.CL]Modeling Interpersonal Linguistic Coordination in Conversations using Word Mover’s Distance
    • [cs.CL]Political Text Scaling Meets Computational Semantics
    • [cs.CL]Strong Baselines for Complex Word Identification across Multiple Languages
    • [cs.CR]Generating Minimal Adversarial Perturbations with Integrated Adaptive Gradients
    • [cs.CV]A Light Dual-Task Neural Network for Haze Removal
    • [cs.CV]A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class Centroids
    • [cs.CV]ACE: Adapting to Changing Environments for Semantic Segmentation
    • [cs.CV]Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology
    • [cs.CV]An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching
    • [cs.CV]An Introduction to Person Re-identification with Generative Adversarial Networks
    • [cs.CV]Big but Imperceptible Adversarial Perturbations via Semantic Manipulation
    • [cs.CV]Cramnet: Layer-wise Deep Neural Network Compression with Knowledge Transfer from a Teacher Network
    • [cs.CV]Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defense
    • [cs.CV]Digging Deeper into Egocentric Gaze Prediction
    • [cs.CV]EvalNorm: Estimating Batch Normalization Statistics for Evaluation
    • [cs.CV]Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks
    • [cs.CV]Face De-occlusion using 3D Morphable Model and Generative Adversarial Network
    • [cs.CV]Generalized Presentation Attack Detection: a face anti-spoofing evaluation proposal
    • [cs.CV]Generative Hybrid Representations for Activity Forecasting with No-Regret Learning
    • [cs.CV]GeoCapsNet: Aerial to Ground view Image Geo-localization using Capsule Network
    • [cs.CV]Incremental multi-domain learning with network latent tensor factorization
    • [cs.CV]MAANet: Multi-view Aware Attention Networks for Image Super-Resolution
    • [cs.CV]Multi-View Region Adaptive Multi-temporal DMM and RGB Action Recognition
    • [cs.CV]Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data
    • [cs.CV]PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation
    • [cs.CV]Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation
    • [cs.CV]Real-Time Dense Stereo Embedded in A UAV for Road Inspection
    • [cs.CV]TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
    • [cs.CV]The Sound of Motions
    • [cs.CV]The iWildCam 2018 Challenge Dataset
    • [cs.CV]Unifying Heterogeneous Classifiers with Distillation
    • [cs.CV]Unsupervised Method to Localize Masses in Mammograms
    • [cs.CY]Towards Formalizing the GDPR’s Notion of Singling Out
    • [cs.DC]FECBench: A Holistic Interference-aware Approach for Application Performance Modeling
    • [cs.DC]Fast and Resource Competitive Broadcast in Multi-channel Radio Networks
    • [cs.DC]On Byzantine Fault Tolerance in Multi-Master Kubernertes Clusters
    • [cs.DC]Parallel parametric linear programming solving, and application to polyhedral computations
    • [cs.DC]Survey of Major Load Balancing Algorithms in Distributed System
    • [cs.DC]ezBFT: Decentralizing Byzantine Fault-Tolerant State Machine Replication
    • [cs.DL]Female scholars need to achieve more for equal public recognition
    • [cs.IT]An Explicit Rate-Optimal Streaming Code for Channels with Burst and Arbitrary Erasures
    • [cs.IT]On the Asymptotic Capacity of $X$-Secure $T$-Private Information Retrieval with Graph Based Replicated Storage
    • [cs.IT]Optimal Caching Designs for Perfect, Imperfect and Unknown File Popularity Distributions in Large-Scale Multi-Tier Wireless Networks
    • [cs.IT]Parity-Based Concurrent Error Detection Schemes for the ChaCha Stream Cipher
    • [cs.IT]When does OMP achieves support recovery with continuous dictionaries?
    • [cs.LG]A streaming feature-based compression method for data from instrumented infrastructure
    • [cs.LG]AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning
    • [cs.LG]Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks
    • [cs.LG]Compressing deep neural networks by matrix product operators
    • [cs.LG]Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch
    • [cs.LG]Distributed Bandit Learning: How Much Communication is Needed to Achieve (Near) Optimal Regret
    • [cs.LG]Distributed Layer-Partitioned Training for Privacy-Preserved Deep Learning
    • [cs.LG]Effective Scheduling Function Design in SDN through Deep Reinforcement Learning
    • [cs.LG]Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios
    • [cs.LG]Learning Optimal Decision Trees from Large Datasets
    • [cs.LG]Let’s Play Again: Variability of Deep Reinforcement Learning Agents in Atari Environments
    • [cs.LG]Multi-Armed Bandit for Energy-Efficient and Delay-Sensitive Edge Computing in Dynamic Networks with Uncertainty
    • [cs.LG]Multimodal Speech Emotion Recognition and Ambiguity Resolution
    • [cs.LG]Position-Aware Convolutional Networks for Traffic Prediction
    • [cs.LG]Ranking-Based Autoencoder for Extreme Multi-label Classification
    • [cs.LG]Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout
    • [cs.LG]Revisit Lmser and its further development based on convolutional layers
    • [cs.LG]Robust Coreset Construction for Distributed Machine Learning
    • [cs.LG]Similarities between policy gradient methods (PGM) in Reinforcement learning (RL) and supervised learning (SL)
    • [cs.LG]Spatio-Temporal Deep Graph Infomax
    • [cs.LG]The coupling effect of Lipschitz regularization in deep neural networks
    • [cs.LG]Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders
    • [cs.LG]Variational AutoEncoder For Regression: Application to Brain Aging Analysis
    • [cs.LG]Variational Inference for Computational Imaging Inverse Problems
    • [cs.NE]A Reference Vector based Many-Objective Evolutionary Algorithm with Feasibility-aware Adaptation
    • [cs.NE]Evolved Art with Transparent, Overlapping, and Geometric Shapes
    • [cs.NE]Evolving Indoor Navigational Strategies Using Gated Recurrent Units In NEAT
    • [cs.NE]Locally Connected Spiking Neural Networks for Unsupervised Feature Learning
    • [cs.NE]On the Impact of the Cutoff Time on the Performance of Algorithm Configurators
    • [cs.RO]AI-IMU Dead-Reckoning
    • [cs.RO]On the Calibration of Force/Torque Sensors in Robotics
    • [cs.SD]Assisted Sound Sample Generation with Musical Conditioning in Adversarial Auto-Encoders
    • [cs.SD]STC Speaker Recognition Systems for the VOiCES From a Distance Challenge
    • [cs.SI]STAND: A Spatio-Temporal Algorithm for Network Diffusion Simulation
    • [eess.AS]Examining the Mapping Functions of Denoising Autoencoders in Music Source Separation
    • [eess.AS]Unsupervised Speech Domain Adaptation Based on Disentangled Representation Learning for Robust Speech Recognition
    • [eess.IV]Boundary-Preserved Deep Denoising of the Stochastic Resonance Enhanced Multiphoton Images
    • [math.PR]Community Detection in the Sparse Hypergraph Stochastic Block Model
    • [math.ST]Outlier-robust estimation of a sparse linear model using $\ell_1$-penalized Huber’s $M$-estimator
    • [q-bio.TO]Interpretable Classification from Skin Cancer Histology Slides Using Deep Learning: A Retrospective Multicenter Study
    • [q-fin.ST]A Weight-based Information Filtration Algorithm for Stock-Correlation Networks
    • [quant-ph]Experimental neural network enhanced quantum tomography
    • [quant-ph]Inferring the quantum density matrix with machine learning
    • [stat.AP]A robust approach to model-based classification based on trimming and constraints
    • [stat.AP]New statistic for detecting laboratory effects in ORDANOVA
    • [stat.ME]A Composite Likelihood-based Approach for Change-point Detection in Spatio-temporal Process
    • [stat.ME]Conformal Prediction Under Covariate Shift
    • [stat.ME]On the estimation of parameter and stress-strength reliability for unit-Lindley distribution
    • [stat.ML]Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension
    • [stat.ML]Reference Product Search
    • [stat.ML]Supervised Anomaly Detection based on Deep Autoregressive Density Estimators

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    • [cs.AI]Few-Shot Bayesian Imitation Learning with Logic over Programs
    Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum
    http://arxiv.org/abs/1904.06317v1

    • [cs.CL]A Crowdsourced Frame Disambiguation Corpus with Ambiguity
    Anca Dumitrache, Lora Aroyo, Chris Welty
    http://arxiv.org/abs/1904.06101v1

    • [cs.CL]Adapting Sequence to Sequence models for Text Normalization in Social Media
    Ismini Lourentzou, Kabir Manghnani, ChengXiang Zhai
    http://arxiv.org/abs/1904.06100v1

    • [cs.CL]Building a mixed-lingual neural TTS system with only monolingual data
    Liumeng Xue, Wei Song, Guanghui Xu, Lei Xie, Zhizheng Wu
    http://arxiv.org/abs/1904.06063v1

    • [cs.CL]CITE: A Corpus of Image—Text Discourse Relations
    Malihe Alikhani, Sreyasi Nag Chowdhury, Gerard de Melo, Matthew Stone
    http://arxiv.org/abs/1904.06286v1

    • [cs.CL]Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation
    Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan
    http://arxiv.org/abs/1904.05929v1

    • [cs.CL]Direct speech-to-speech translation with a sequence-to-sequence model
    Ye Jia, Ron J. Weiss, Fadi Biadsy, Wolfgang Macherey, Melvin Johnson, Zhifeng Chen, Yonghui Wu
    http://arxiv.org/abs/1904.06037v1

    • [cs.CL]Evaluating the Representational Hub of Language and Vision Models
    Ravi Shekhar, Ece Takmaz, Raquel Fernández, Raffaella Bernardi
    http://arxiv.org/abs/1904.06038v1

    • [cs.CL]FrameRank: A Text Processing Approach to Video Summarization
    Zhuo Lei, Chao Zhang, Qian Zhang, Guoping Qiu
    http://arxiv.org/abs/1904.05544v2

    • [cs.CL]IIT (BHU) Varanasi at MSR-SRST 2018: A Language Model Based Approach for Natural Language Generation
    Shreyansh Singh, Avi Chawla, Ayush Sharma, Anil Kumar Singh
    http://arxiv.org/abs/1904.06234v1

    • [cs.CL]Modeling Interpersonal Linguistic Coordination in Conversations using Word Mover’s Distance
    Md Nasir, Sandeep Nallan Chakravarthula, Brian Baucom, David C. Atkins, Panayiotis Georgiou, Shrikanth Narayanan
    http://arxiv.org/abs/1904.06002v1

    • [cs.CL]Political Text Scaling Meets Computational Semantics
    Federico Nanni, Goran Glavas, Simone Paolo Ponzetto, Heiner Stuckenschmidt
    http://arxiv.org/abs/1904.06217v1

    • [cs.CL]Strong Baselines for Complex Word Identification across Multiple Languages
    Pierre Finnimore, Elisabeth Fritzsch, Daniel King, Alison Sneyd, Aneeq Ur Rehman, Fernando Alva-Manchego, Andreas Vlachos
    http://arxiv.org/abs/1904.05953v1

    • [cs.CR]Generating Minimal Adversarial Perturbations with Integrated Adaptive Gradients
    Yatie Xiao, Chi-Man Pun
    http://arxiv.org/abs/1904.06186v1

    • [cs.CV]A Light Dual-Task Neural Network for Haze Removal
    Yu Zhang, Xinchao Wang, Xiaojun Bi, Dacheng Tao
    http://arxiv.org/abs/1904.06024v1

    • [cs.CV]A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class Centroids
    Qiuyu Zhu, Pengju Zhang, Xin Ye
    http://arxiv.org/abs/1904.06008v1

    • [cs.CV]ACE: Adapting to Changing Environments for Semantic Segmentation
    Zuxuan Wu, Xin Wang, Joseph E. Gonzalez, Tom Goldstein, Larry S. Davis
    http://arxiv.org/abs/1904.06268v1

    • [cs.CV]Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology
    Hiroki Tokunaga, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise
    http://arxiv.org/abs/1904.06040v1

    • [cs.CV]An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching
    René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
    http://arxiv.org/abs/1904.06167v1

    • [cs.CV]An Introduction to Person Re-identification with Generative Adversarial Networks
    Hamed Alqahtani, Manolya Kavakli-Thorne, Charles Z. Liu
    http://arxiv.org/abs/1904.05992v1

    • [cs.CV]Big but Imperceptible Adversarial Perturbations via Semantic Manipulation
    Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, David A. Forsyth
    http://arxiv.org/abs/1904.06347v1

    • [cs.CV]Cramnet: Layer-wise Deep Neural Network Compression with Knowledge Transfer from a Teacher Network
    Jon Hoffman
    http://arxiv.org/abs/1904.05982v1

    • [cs.CV]Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defense
    Lingyun Jiang, Kai Qiao, Ruoxi Qin, Linyuan Wang, Jian Chen, Haibing Bu, Bin Yan
    http://arxiv.org/abs/1904.06026v1

    • [cs.CV]Digging Deeper into Egocentric Gaze Prediction
    Hamed R. Tavakoli, Esa Rahtu, Juho Kannala, Ali Borji
    http://arxiv.org/abs/1904.06090v1

    • [cs.CV]EvalNorm: Estimating Batch Normalization Statistics for Evaluation
    Saurabh Singh, Abhinav Shrivastava
    http://arxiv.org/abs/1904.06031v1

    • [cs.CV]Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks
    Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
    http://arxiv.org/abs/1904.06097v1

    • [cs.CV]Face De-occlusion using 3D Morphable Model and Generative Adversarial Network
    Xiaowei Yuan, In Kyu Park
    http://arxiv.org/abs/1904.06109v1

    • [cs.CV]Generalized Presentation Attack Detection: a face anti-spoofing evaluation proposal
    Artur Costa-Pazo, David Jimenez-Cabello, Esteban Vazquez-Fernandez, Jose L. Alba-Castro, Roberto J. López-Sastre
    http://arxiv.org/abs/1904.06213v1

    • [cs.CV]Generative Hybrid Representations for Activity Forecasting with No-Regret Learning
    Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart
    http://arxiv.org/abs/1904.06250v1

    • [cs.CV]GeoCapsNet: Aerial to Ground view Image Geo-localization using Capsule Network
    Bin Sun, Chen Chen, Yingying Zhu, Jianmin Jiang
    http://arxiv.org/abs/1904.06281v1

    • [cs.CV]Incremental multi-domain learning with network latent tensor factorization
    Adrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic
    http://arxiv.org/abs/1904.06345v1

    • [cs.CV]MAANet: Multi-view Aware Attention Networks for Image Super-Resolution
    Jingcai Guo, Shiheng Ma, Song Guo
    http://arxiv.org/abs/1904.06252v1

    • [cs.CV]Multi-View Region Adaptive Multi-temporal DMM and RGB Action Recognition
    Mahmoud Al-Faris, John P. Chiverton, Yanyan Yang, David L. Ndzi
    http://arxiv.org/abs/1904.06074v1

    • [cs.CV]Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data
    Aleksei Tiulpin, Stefan Klein, Sita M. A. Bierma-Zeinstra, Jérôme Thevenot, Esa Rahtu, Joyce van Meurs, Edwin H. G. Oei, Simo Saarakkala
    http://arxiv.org/abs/1904.06236v1

    • [cs.CV]PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation
    Rohan Saxena, René Schuster, Oliver Wasenmüller, Didier Stricker
    http://arxiv.org/abs/1904.06116v1

    • [cs.CV]Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation
    Yuyin Zhou, Zhe Li, Song Bai, Chong Wang, Xinlei Chen, Mei Han, Elliot Fishman, Alan Yuille
    http://arxiv.org/abs/1904.06346v1

    • [cs.CV]Real-Time Dense Stereo Embedded in A UAV for Road Inspection
    Rui Fan, Jianhao Jiao, Jie Pan, Huaiyang Huang, Shaojie Shen, Ming Liu
    http://arxiv.org/abs/1904.06017v1

    • [cs.CV]TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
    Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez
    http://arxiv.org/abs/1904.05967v1

    • [cs.CV]The Sound of Motions
    Hang Zhao, Chuang Gan, Wei-Chiu Ma, Antonio Torralba
    http://arxiv.org/abs/1904.05979v1

    • [cs.CV]The iWildCam 2018 Challenge Dataset
    Sara Beery, Grant van Horn, Oisin MacAodha, Pietro Perona
    http://arxiv.org/abs/1904.05986v1

    • [cs.CV]Unifying Heterogeneous Classifiers with Distillation
    Jayakorn Vongkulbhisal, Phongtharin Vinayavekhin, Marco Visentini-Scarzanella
    http://arxiv.org/abs/1904.06062v1

    • [cs.CV]Unsupervised Method to Localize Masses in Mammograms
    Bilal Ahmed Lodhi
    http://arxiv.org/abs/1904.06044v1

    • [cs.CY]Towards Formalizing the GDPR’s Notion of Singling Out
    Aloni Cohen, Kobbi Nissim
    http://arxiv.org/abs/1904.06009v1

    • [cs.DC]FECBench: A Holistic Interference-aware Approach for Application Performance Modeling
    Yogesh D. Barve, Shashank Shekhar, Ajay Dev Chhokra, Shweta Khare, Anirban Bhattacharjee, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale
    http://arxiv.org/abs/1904.05833v2

    • [cs.DC]Fast and Resource Competitive Broadcast in Multi-channel Radio Networks
    Haimin Chen, Chaodong Zheng
    http://arxiv.org/abs/1904.06328v1

    • [cs.DC]On Byzantine Fault Tolerance in Multi-Master Kubernertes Clusters
    Gor Mack Diouf, Halima Elbiaze, Wael Jaafar
    http://arxiv.org/abs/1904.06206v1

    • [cs.DC]Parallel parametric linear programming solving, and application to polyhedral computations
    Camille Coti, David Monniaux, Hang Yu
    http://arxiv.org/abs/1904.06079v1

    • [cs.DC]Survey of Major Load Balancing Algorithms in Distributed System
    Igor Ivanisenko, Tamara Radivilova
    http://arxiv.org/abs/1904.05923v1

    • [cs.DC]ezBFT: Decentralizing Byzantine Fault-Tolerant State Machine Replication
    Balaji Arun, Sebastiano Peluso, Binoy Ravindran
    http://arxiv.org/abs/1904.06023v1

    • [cs.DL]Female scholars need to achieve more for equal public recognition
    Menno H. Schellekensa, Floris Holstegeb, Taha Yasseri
    http://arxiv.org/abs/1904.06310v1

    • [cs.IT]An Explicit Rate-Optimal Streaming Code for Channels with Burst and Arbitrary Erasures
    Elad Domanovitz, Silas L. Fong, Ashish Khisti
    http://arxiv.org/abs/1904.06212v1

    • [cs.IT]On the Asymptotic Capacity of $X$-Secure $T$-Private Information Retrieval with Graph Based Replicated Storage
    Zhuqing Jia, Syed A. Jafar
    http://arxiv.org/abs/1904.05906v1

    • [cs.IT]Optimal Caching Designs for Perfect, Imperfect and Unknown File Popularity Distributions in Large-Scale Multi-Tier Wireless Networks
    Chencheng Ye, Ying Cui, Yang Yang, Rui Wang
    http://arxiv.org/abs/1904.06029v1

    • [cs.IT]Parity-Based Concurrent Error Detection Schemes for the ChaCha Stream Cipher
    Viola Rieger, Alexander Zeh
    http://arxiv.org/abs/1904.06073v1

    • [cs.IT]When does OMP achieves support recovery with continuous dictionaries?
    Clément Elvira, Rémi Gribonval, Charles Soussen, Cédric Herzet
    http://arxiv.org/abs/1904.06311v1

    • [cs.LG]A streaming feature-based compression method for data from instrumented infrastructure
    Alastair Gregory, Din-Houn Lau, Alex Tessier, Pan Zhang
    http://arxiv.org/abs/1904.06127v1

    • [cs.LG]AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning
    Jingcai Guo, Song Guo
    http://arxiv.org/abs/1904.06254v1

    • [cs.LG]Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks
    David J. Miller, Zhen Xiang, George Kesidis
    http://arxiv.org/abs/1904.06292v1

    • [cs.LG]Compressing deep neural networks by matrix product operators
    Ze-Feng Gao, Song Cheng, Rong-Qiang He, Z. Y. Xie, Hui-Hai Zhao, Zhong-Yi Lu, Tao Xiang
    http://arxiv.org/abs/1904.06194v1

    • [cs.LG]Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch
    Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos
    http://arxiv.org/abs/1904.05945v1

    • [cs.LG]Distributed Bandit Learning: How Much Communication is Needed to Achieve (Near) Optimal Regret
    Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang
    http://arxiv.org/abs/1904.06309v1

    • [cs.LG]Distributed Layer-Partitioned Training for Privacy-Preserved Deep Learning
    Chun-Hsien Yu, Chun-Nan Chou, Emily Chang
    http://arxiv.org/abs/1904.06049v1

    • [cs.LG]Effective Scheduling Function Design in SDN through Deep Reinforcement Learning
    Huang Victoria, Chen Gang, Fu Qiang
    http://arxiv.org/abs/1904.06039v1

    • [cs.LG]Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios
    Yeping Hu, Alireza Nakhaei, Masayoshi Tomizuka, Kikuo Fujimura
    http://arxiv.org/abs/1904.06025v1

    • [cs.LG]Learning Optimal Decision Trees from Large Datasets
    Florent Avellaneda
    http://arxiv.org/abs/1904.06314v1

    • [cs.LG]Let’s Play Again: Variability of Deep Reinforcement Learning Agents in Atari Environments
    Kaleigh Clary, Emma Tosch, John Foley, David Jensen
    http://arxiv.org/abs/1904.06312v1

    • [cs.LG]Multi-Armed Bandit for Energy-Efficient and Delay-Sensitive Edge Computing in Dynamic Networks with Uncertainty
    Saeed Ghoorchian, Setareh Maghsudi
    http://arxiv.org/abs/1904.06258v1

    • [cs.LG]Multimodal Speech Emotion Recognition and Ambiguity Resolution
    Gaurav Sahu
    http://arxiv.org/abs/1904.06022v1

    • [cs.LG]Position-Aware Convolutional Networks for Traffic Prediction
    Shiheng Ma, Jingcai Guo, Song Guo, Minyi Guo
    http://arxiv.org/abs/1904.06187v1

    • [cs.LG]Ranking-Based Autoencoder for Extreme Multi-label Classification
    Bingyu Wang, Li Chen, Wei Sun, Kechen Qin, Kefeng Li, Hui Zhou
    http://arxiv.org/abs/1904.05937v1

    • [cs.LG]Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout
    Isidro Cortes-Ciriano, Andreas Bender
    http://arxiv.org/abs/1904.06330v1

    • [cs.LG]Revisit Lmser and its further development based on convolutional layers
    Wenjing Huang, Shikui Tu, Lei Xu
    http://arxiv.org/abs/1904.06307v1

    • [cs.LG]Robust Coreset Construction for Distributed Machine Learning
    Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijay Narayanan, Kevin S Chan
    http://arxiv.org/abs/1904.05961v1

    • [cs.LG]Similarities between policy gradient methods (PGM) in Reinforcement learning (RL) and supervised learning (SL)
    Eric Benhamou
    http://arxiv.org/abs/1904.06260v1

    • [cs.LG]Spatio-Temporal Deep Graph Infomax
    Felix L. Opolka, Aaron Solomon, Cătălina Cangea, Petar Veličković, Pietro Liò, R Devon Hjelm
    http://arxiv.org/abs/1904.06316v1

    • [cs.LG]The coupling effect of Lipschitz regularization in deep neural networks
    Nicolas Couellan
    http://arxiv.org/abs/1904.06253v1

    • [cs.LG]Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders
    Ari Heljakka, Arno Solin, Juho Kannala
    http://arxiv.org/abs/1904.06145v1

    • [cs.LG]Variational AutoEncoder For Regression: Application to Brain Aging Analysis
    Qingyu Zhao, Ehsan Adeli, Nicolas Honnorat, Tuo Leng, Kilian M. Pohl
    http://arxiv.org/abs/1904.05948v1

    • [cs.LG]Variational Inference for Computational Imaging Inverse Problems
    Francesco Tonolini, Ashley Lyons, Piergiorgio Caramazza, Daniele Faccio, Roderick Murray-Smith
    http://arxiv.org/abs/1904.06264v1

    • [cs.NE]A Reference Vector based Many-Objective Evolutionary Algorithm with Feasibility-aware Adaptation
    Mingde Zhao, Hongwei Ge, Kai Zhang, Yaqing Hou
    http://arxiv.org/abs/1904.06302v1

    • [cs.NE]Evolved Art with Transparent, Overlapping, and Geometric Shapes
    Joachim Berg, Nils Gustav Andreas Berggren, Sivert Allergodt Borgeteien, Christian Ruben Alexander Jahren, Arqam Sajid, Stefano Nichele
    http://arxiv.org/abs/1904.06110v1

    • [cs.NE]Evolving Indoor Navigational Strategies Using Gated Recurrent Units In NEAT
    James Butterworth, Rahul Savani, Karl Tuyls
    http://arxiv.org/abs/1904.06239v1

    • [cs.NE]Locally Connected Spiking Neural Networks for Unsupervised Feature Learning
    Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma
    http://arxiv.org/abs/1904.06269v1

    • [cs.NE]On the Impact of the Cutoff Time on the Performance of Algorithm Configurators
    George T. Hall, Pietro S. Oliveto, Dirk Sudholt
    http://arxiv.org/abs/1904.06230v1

    • [cs.RO]AI-IMU Dead-Reckoning
    Martin Brossard, Axel Barrau, Silvère Bonnabel
    http://arxiv.org/abs/1904.06064v1

    • [cs.RO]On the Calibration of Force/Torque Sensors in Robotics
    Fredrik Bagge Carlson
    http://arxiv.org/abs/1904.06158v1

    • [cs.SD]Assisted Sound Sample Generation with Musical Conditioning in Adversarial Auto-Encoders
    Adrien Bitton, Philippe Esling, Antoine Caillon, Martin Fouilleul
    http://arxiv.org/abs/1904.06215v1

    • [cs.SD]STC Speaker Recognition Systems for the VOiCES From a Distance Challenge
    Sergey Novoselov, Aleksei Gusev, Artem Ivanov, Timur Pekhovsky, Andrey Shulipa, Galina Lavrentyeva, Vladimir Volokhov, Alexandr Kozlov
    http://arxiv.org/abs/1904.06093v1

    • [cs.SI]STAND: A Spatio-Temporal Algorithm for Network Diffusion Simulation
    Fangcao Xu, Bruce Desmarais, Donna Peuquet
    http://arxiv.org/abs/1904.05998v1

    • [eess.AS]Examining the Mapping Functions of Denoising Autoencoders in Music Source Separation
    Stylianos Ioannis Mimilakis, Konstantinos Drossos, Estefanía Cano, Gerald Schuller
    http://arxiv.org/abs/1904.06157v1

    • [eess.AS]Unsupervised Speech Domain Adaptation Based on Disentangled Representation Learning for Robust Speech Recognition
    Jong-Hyeon Park, Myungwoo Oh, Hyung-Min Park
    http://arxiv.org/abs/1904.06086v1

    • [eess.IV]Boundary-Preserved Deep Denoising of the Stochastic Resonance Enhanced Multiphoton Images
    Sheng-Yong Niu, Lun-Zhang Guo, Yue Li, Tzung-Dau Wang, Yu Tsao, Tzu-Ming Liu
    http://arxiv.org/abs/1904.06329v1

    • [math.PR]Community Detection in the Sparse Hypergraph Stochastic Block Model
    Soumik Pal, Yizhe Zhu
    http://arxiv.org/abs/1904.05981v1

    • [math.ST]Outlier-robust estimation of a sparse linear model using $\ell_1$-penalized Huber’s $M$-estimator
    Arnak S. Dalalyan, Philip Thompson
    http://arxiv.org/abs/1904.06288v1

    • [q-bio.TO]Interpretable Classification from Skin Cancer Histology Slides Using Deep Learning: A Retrospective Multicenter Study
    Peizhen Xie, Ke Zuo, Yu Zhang, Fangfang Li, Mingzhu Yin, Kai Lu
    http://arxiv.org/abs/1904.06156v1

    • [q-fin.ST]A Weight-based Information Filtration Algorithm for Stock-Correlation Networks
    Seyed Soheil Hosseini, Nick Wormald, Tianhai Tian
    http://arxiv.org/abs/1904.06007v1

    • [quant-ph]Experimental neural network enhanced quantum tomography
    Adriano Macarone-Palmier, Egor Kovlakov, Federico Bianchi, Dmitry Yudin, Stanislav Straupe, Jacob Biamonte, Sergei Kulik
    http://arxiv.org/abs/1904.05902v1

    • [quant-ph]Inferring the quantum density matrix with machine learning
    Kyle Cranmer, Siavash Golkar, Duccio Pappadopulo
    http://arxiv.org/abs/1904.05903v1

    • [stat.AP]A robust approach to model-based classification based on trimming and constraints
    Andrea Cappozzo, Francesca Greselin, Thomas Brendan Murphy
    http://arxiv.org/abs/1904.06136v1

    • [stat.AP]New statistic for detecting laboratory effects in ORDANOVA
    Jun-ichi Takeshita, Yuto Arai, Mayu Ogawa, Xiao-Nan Lu, Tomomichi Suzuki
    http://arxiv.org/abs/1904.06048v1

    • [stat.ME]A Composite Likelihood-based Approach for Change-point Detection in Spatio-temporal Process
    Zifeng Zhao, Ting Fung Ma, Wai Leong Ng, Chun Yip Yau
    http://arxiv.org/abs/1904.06340v1

    • [stat.ME]Conformal Prediction Under Covariate Shift
    Rina Foygel Barber, Emmanuel J. Candes, Aaditya Ramdas, Ryan J. Tibshirani
    http://arxiv.org/abs/1904.06019v1

    • [stat.ME]On the estimation of parameter and stress-strength reliability for unit-Lindley distribution
    Aniket Biswas, Subrata Chakraborty
    http://arxiv.org/abs/1904.06181v1

    • [stat.ML]Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension
    Marina Gomtsyan, Nikita Mokrov, Maxim Panov, Yury Yanovich
    http://arxiv.org/abs/1904.06151v1

    • [stat.ML]Reference Product Search
    Chu Wang, Lei Tang, Shujun Bian, Da Zhang, Zuohua Zhang, Yongning Wu
    http://arxiv.org/abs/1904.05985v1

    • [stat.ML]Supervised Anomaly Detection based on Deep Autoregressive Density Estimators
    Tomoharu Iwata, Yuki Yamanaka
    http://arxiv.org/abs/1904.06034v1