2019.12.01 Learning papers

11-27-2019	Fully Unsupervised Probabilistic Noise2Void by Mangal Prakash et al
11-27-2019	Towards Similarity Graphs Constructed by Deep Reinforcement Learning by Dmitry Baranchuk et al
11-27-2019	Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search by Xiangxiang Chu et al
11-28-2019	Simulation-based reinforcement learning for real-world autonomous driving by Błażej Osiński et al
11-26-2019	Domain-Aware Dynamic Networks by Tianyuan Zhang et al
11-26-2019	Word-Class Embeddings for Multiclass Text Classification by Alejandro Moreo et al
11-27-2019	Information-Geometric Set Embeddings (IGSE): From Sets to Probability Distributions by Ke Sun et al
11-27-2019	Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends by Chongwen Huang et al
11-28-2019	Data-Driven Compression of Convolutional Neural Networks by Ramit Pahwa et al
11-26-2019	Hybrid Text Feature Modeling for Disease Group Prediction using Unstructured Physician Notes by Gokul S Krishnan et al
11-29-2019	A robust method based on LOVO functions for solving least squares problems by E. V. Castelani et al
11-26-2019	An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks by Julia El Zini et al
11-29-2019	Semi-Relaxed Quantization with DropBits: Training Low-Bit Neural Networks via Bit-wise Regularization by Jihun Yun et al
11-27-2019	Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models by Giannis Daras et al
11-26-2019	Revisiting Deep Architectures for Head Motion Prediction in 360{\deg} Videos by Miguel Fabian Romero Rondon et al
11-28-2019	Spatiotemporal deep learning model for citywide air pollution interpolation and prediction by Van-Duc Le et al
11-28-2019	Multimodal Emotion Recognition Model using Physiological Signals by Yuxuan Zhao et al
11-26-2019	CAWA: An Attention-Network for Credit Attribution by Saurav Manchanda et al
11-28-2019	Self-attention with Functional Time Representation Learning by Da Xu et al
11-26-2019	Robustly Clustering a Mixture of Gaussians by He Jia et al
11-26-2019	DeepRICH: Learning Deeply Cherenkov Detectors by Cristiano Fanelli et al
11-26-2019	Multi-View Multiple Clusterings using Deep Matrix Factorization by Shaowei Wei et al
11-26-2019	Deep adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints by Jingliang Duan et al
11-26-2019	A discriminative condition-aware backend for speaker verification by Luciana Ferrer et al
11-26-2019	Logical Interpretations of Autoencoders by Anton Fuxjaeger et al
11-26-2019	Electricity Load Forecasting -- An Evaluation of Simple 1D-CNN Network Structures by Christian Lang et al
11-27-2019	Discriminative Adversarial Domain Adaptation by Hui Tang et al
11-26-2019	Semantic Bottleneck Scene Generation by Samaneh Azadi et al
11-27-2019	Contrastive Learning of Structured World Models by Thomas Kipf et al
11-28-2019	Cycle-Consistent Adversarial Networks for Realistic Pervasive Change Generation in Remote Sensing Imagery by Christopher X. Ren et al
11-28-2019	Tropical Polynomial Division and Neural Networks by Georgios Smyrnis et al
11-27-2019	AR-Net: A simple Auto-Regressive Neural Network for time-series by Oskar Triebe et al
11-28-2019	J-Net: Randomly weighted U-Net for audio source separation by Bo-Wen Chen et al
11-28-2019	Improving Voice Separation by Incorporating End-to-end Speech Recognition by Naoya Takahashi et al
11-27-2019	DeFINE: DEep Factorized INput Word Embeddings for Neural Sequence Modeling by Sachin Mehta et al
11-29-2019	Sparse and Low-Rank Tensor Regression via Parallel Proximal Method by Jiaqi Zhang et al
11-27-2019	Flatsomatic: A Method for Compression of Somatic Mutation Profiles in Cancer by Geoffroy Dubourg-Felonneau et al
11-27-2019	Music Source Separation in the Waveform Domain by Alexandre Défossez et al
11-29-2019	Method and Dataset Mining in Scientific Papers by Rujing Yao et al
11-28-2019	Geometric Feedback Network for Point Cloud Classification by Qiu Shi et al
11-29-2019	Induction of Subgoal Automata for Reinforcement Learning by Daniel Furelos-Blanco et al
11-27-2019	PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition by Kun Su et al
11-29-2019	Orthogonal Wasserstein GANs by Jan Müller et al
11-26-2019	Using Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows by Mathis Bode et al
11-26-2019	A Measure of Similarity in Textual Data Using Spearmans Rank Correlation Coefficient by Nino Arsov et al
11-26-2019	Semi-Supervised Learning for Text Classification by Layer Partitioning by Alexander Hanbo Li et al
11-27-2019	Topological Machine Learning for Multivariate Time Series by Chengyuan Wu et al
11-26-2019	Convolutional Composer Classification by Harsh Verma et al
11-26-2019	Emergent Structures and Lifetime Structure Evolution in Artificial Neural Networks by Siavash Golkar
11-28-2019	Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow by Mingyu Ding et al
11-27-2019	AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning by Ximeng Sun et al
11-29-2019	Detecting anthropogenic cloud perturbations with deep learning by Duncan Watson-Parris et al
11-28-2019	Self-Supervised Unconstrained Illumination Invariant Representation by Damian Kaliroff et al
11-28-2019	Predicting Performance of Software Configurations: There is no Silver Bullet by Alexander Grebhahn et al
11-29-2019	Sparsely Grouped Input Variables for Neural Networks by Beibin Li et al
11-29-2019	Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019 by Omer Berat Sezer et al
11-29-2019	Deconstructing and reconstructing word embedding algorithms by Edward Newell et al
11-27-2019	SpoC: Spoofing Camera Fingerprints by Davide Cozzolino et al
11-29-2019	Deep Learning to Scale up Time Series Traffic Prediction by Julien Monteil et al
11-26-2019	Deep Learning with Gaussian Differential Privacy by Zhiqi Bu et al
11-27-2019	Multi-label Classification for Automatic Tag Prediction in the Context of Programming Challenges by Bianca Iancu et al
11-26-2019	Local Model Poisoning Attacks to Byzantine-Robust Federated Learning by Minghong Fang et al
11-28-2019	Augmented Random Search for Quadcopter Control: An alternative to Reinforcement Learning by Ashutosh Kumar Tiwari et al
11-26-2019	Enabling real-time multi-messenger astrophysics discoveries with deep learning by E. A. Huerta et al
11-26-2019	Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization by Hung Tran-The et al
11-27-2019	Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting by Weiqi Chen et al
11-27-2019	Neural Network Based in Silico Simulation of Combustion Reactions by Jinzhe Zeng et al
11-27-2019	Social Attention for Autonomous Decision-Making in Dense Traffic by Edouard Leurent et al
11-29-2019	Towards Oracle Knowledge Distillation with Neural Architecture Search by Minsoo Kang et al
11-26-2019	FCA2VEC: Embedding Techniques for Formal Concept Analysis by Dominik Dürrschnabel et al
11-28-2019	Communication-Efficient Distributed Online Learning with Kernels by Michael Kamp et al
11-28-2019	Adaptive Communication Bounds for Distributed Online Learning by Michael Kamp et al
11-28-2019	Unsupervised Neural Mask Estimator For Generalized Eigen-Value Beamforming Based ASR by Rohit Kumar et al
11-27-2019	Analysis of Hydrological and Suspended Sediment Events from Mad River Wastershed using Multivariate Time Series Clustering by Ali Javed et al
11-28-2019	Distributed estimation of principal support vector machines for sufficient dimension reduction by Jun Jin et al
11-29-2019	Unpaired Image Translation via Adaptive Convolution-based Normalization by Wonwoong Cho et al
11-29-2019	Transflow Learning: Repurposing Flow Models Without Retraining by Andrew Gambardella et al
11-28-2019	Improved cross-validation for classifiers that make algorithmic choices to minimise runtime without compromising output correctness by Dorian Florescu et al
11-28-2019	RETRO: Relation Retrofitting For In-Database Machine Learning on Textual Data by Michael Günther et al
11-28-2019	Continuous Dropout by Xu Shen et al
11-29-2019	On the Benefits of Attributional Robustness by Mayank Singh et al
11-27-2019	Property Invariant Embedding for Automated Reasoning by Miroslav Olšák et al
11-29-2019	Whats Hidden in a Randomly Weighted Neural Network? by Vivek Ramanujan et al
11-26-2019	Shifted Randomized Singular Value Decomposition by Ali Basirat
11-26-2019	Stable Matrix Completion using Properly Configured Kronecker Product Decomposition by Chencheng Cai et al
11-29-2019	Learning Domain-Independent Planning Heuristics with Hypergraph Networks by William Shen et al
11-26-2019	A User Study of Perceived Carbon Footprint by Victor Kristof et al
11-26-2019	Improving Polyphonic Music Models with Feature-Rich Encoding by Omar Peracha
11-26-2019	Noise Robust Generative Adversarial Networks by Takuhiro Kaneko et al
11-26-2019	Prediction of Horizontal Data Partitioning Through Query Execution Cost Estimation by Nino Arsov et al
11-28-2019	Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling by Xin Huang et al
11-26-2019	Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers by Ya Zhao et al
11-29-2019	X-Ray Sobolev Variational Auto-Encoders by Gabriel Turinici
11-29-2019	A Bayesian Dynamic Multilayered Block Network Model by Hector Rodriguez-Deniz et al
11-28-2019	A Data Driven Approach to Learning The Hamiltonian Matrix in Quantum Mechanics by Jordan Burns et al
11-28-2019	Language-Independent Sentiment Analysis Using Subjectivity and Positional Information by Veselin Raychev et al
11-28-2019	U-CNNpred: A Universal CNN-based Predictor for Stock Markets by Ehsan Hoseinzade et al
11-27-2019	LucidDream: Controlled Temporally-Consistent DeepDream on Videos by Joel Ruben Antony Moniz et al
11-27-2019	Conditional Hierarchical Bayesian Tucker Decomposition by Adam Sandler et al
11-26-2019	AuthorGAN: Improving GAN Reproducibility using a Modular GAN Framework by Raunak Sinha et al
11-26-2019	Random Forest as a Tumour Genetic Marker Extractor by Raquel Pérez-Arnal et al
11-27-2019	PointPWC-Net: A Coarse-to-Fine Network for Supervised and Self-Supervised Scene Flow Estimation on 3D Point Clouds by Wenxuan Wu et al
11-27-2019	All you need is a good representation: A multi-level and classifier-centric representation for few-shot learning by Shaoli Huang et al
11-28-2019	Analysis of Lower Bounds for Simple Policy Iteration by Sarthak Consul et al
11-28-2019	D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems by Taoxing Pan et al
11-26-2019	Improving Fictitious Play Reinforcement Learning with Expanding Models by Rong-Jun Qin et al
11-27-2019	Reviewing and Improving the Gaussian Mechanism for Differential Privacy by Jun Zhao et al
11-27-2019	SecureGBM: Secure Multi-Party Gradient Boosting by Zhi Fengy et al
11-29-2019	Adversarially Robust Low Dimensional Representations by Pranjal Awasthi et al
11-26-2019	Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions by Osaid Rehman Nasir et al
11-26-2019	Representation Learning: A Statistical Perspective by Jianwen Xie et al
11-26-2019	Generalizing Complex Hypotheses on Product Distributions: Auctions, Prophet Inequalities, and Pandoras Problem by Chenghao Guo et al
11-26-2019	MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation by Yuheng Li et al
11-26-2019	Password-conditioned Anonymization and Deanonymization with Face Identity Transformers by Xiuye Gu et al
11-27-2019	To Trust, or Not to Trust? A Study of Human Bias in Automated Video Interview Assessments by Chee Wee Leong et al
11-28-2019	Quality analysis of DCGAN-generated mammography lesions by Basel Alyafi et al
11-28-2019	Region segmentation via deep learning and convex optimization by Matthias Sonntag et al
11-27-2019	Metre as a stylometric feature in Latin hexameter poetry by Benjamin Nagy
11-29-2019	Blockwisely Supervised Neural Architecture Search with Knowledge Distillation by Changlin Li et al
11-29-2019	Distributed Soft Actor-Critic with Multivariate Reward Representation and Knowledge Distillation by Dmitry Akimov
11-27-2019	An End-to-end Framework for Unconstrained Monocular 3D Hand Pose Estimation by Sanjeev Sharma et al
11-27-2019	Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music by Agelos Kratimenos et al
11-27-2019	Android Botnet Detection using Convolutional Neural Networks by Sina Hojjatinia et al
11-27-2019	GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal by Craig Atkinson et al
11-27-2019	ComHapDet: A Spatial Community Detection Algorithm for Haplotype Assembly by Abishek Sankararaman et al
11-29-2019	Link Prediction in the Stochastic Block Model with Outliers by Solenne Gaucher et al
11-26-2019	Lifelong Spectral Clustering by Gan Sun et al
11-26-2019	Behavior Regularized Offline Reinforcement Learning by Yifan Wu et al
11-26-2019	Novelty Detection Via Blurring by Sungik Choi et al
11-26-2019	Imitation Learning of Robot Policies by Combining Language, Vision and Demonstration by Simon Stepputtis et al
11-26-2019	Device-Free User Authentication, Activity Classification and Tracking using Passive Wi-Fi Sensing: A Deep Learning Based Approach by Vinoj Jayasundara et al
11-29-2019	Merging Weak and Active Supervision for Semantic Parsing by Ansong Ni et al
11-27-2019	How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks? by Zixiang Chen et al
11-28-2019	Machine Learning for a Low-cost Air Pollution Network by Michael T. Smith et al
11-27-2019	Actionable Interpretability through Optimizable Counterfactual Explanations for Tree Ensembles by Ana Lucic et al
11-29-2019	Investigations on the inference optimization techniques and their impact on multiple hardware platforms for Semantic Segmentation by Sethu Hareesh Kolluru
11-28-2019	Patch Reordering: a Novel Way to Achieve Rotation and Translation Invariance in Convolutional Neural Networks by Xu Shen et al
11-29-2019	Progressive-Growing of Generative Adversarial Networks for Metasurface Optimization by Fufang Wen et al
11-27-2019	Algorithmic Improvements for Deep Reinforcement Learning applied to Interactive Fiction by Vishal Jain et al
11-27-2019	Rethinking Temporal Fusion for Video-based Person Re-identification on Semantic and Time Aspect by Xinyang Jiang et al
11-29-2019	VIABLE: Fast Adaptation via Backpropagating Learned Loss by Leo Feng et al
11-26-2019	Dynamic Portfolio Management with Reinforcement Learning by Junhao Wang et al
11-26-2019	An Adaptive View of Adversarial Robustness from Test-time Smoothing Defense by Chao Tang et al
11-26-2019	A Preliminary Study of Disentanglement With Insights on the Inadequacy of Metrics by Amir H. Abdi et al
11-26-2019	OASIS: ILP-Guided Synthesis of Loop Invariants by Sahil Bhatia et al
11-26-2019	Network Intrusion Detection based on LSTM and Feature Embedding by Hyeokmin Gwon et al
11-26-2019	Learning sparse linear dynamic networks in a hyper-parameter free setting by Arun Venkitaraman et al
11-26-2019	Federated Learning for Ranking Browser History Suggestions by Florian Hartmann et al
11-27-2019	ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context by Liantao Ma et al
11-26-2019	CONAN: Complementary Pattern Augmentation for Rare Disease Detection by Limeng Cui et al
11-28-2019	Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learning by Rui Silva et al
11-27-2019	Crypto-Oriented Neural Architecture Design by Avital Shafran et al
11-26-2019	Network Embedding: An Overview by Nino Arsov et al
11-29-2019	Model structures and fitting criteria for system identification with neural networks by Marco Forgione et al
11-29-2019	Deep Networks with Adaptive Nystr\om Approximation by Luc Giffon et al
11-27-2019	Unbiased Evaluation of Deep Metric Learning Algorithms by Istvan Fehervari et al
11-28-2019	One-Shot Object Detection with Co-Attention and Co-Excitation by Ting-I Hsieh et al
11-26-2019	City2City: Translating Place Representations across Cities by Takahiro Yabe et al
11-26-2019	Label Dependent Deep Variational Paraphrase Generation by Siamak Shakeri et al
11-26-2019	AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks by Hao Tang et al
11-28-2019	Application of Time Series Analysis to Traffic Accidents in Los Angeles by Qinghao Ye et al
11-27-2019	Bayesian Optimization for Categorical and Category-Specific Continuous Inputs by Dang Nguyen et al
11-26-2019	Recursive Prediction of Graph Signals with Incoming Nodes by Arun Venkitaraman et al
11-26-2019	Spectra2pix: Generating Nanostructure Images from Spectra by Itzik Malkiel et al
11-26-2019	Approximating the Permanent by Sampling from Adaptive Partitions by Jonathan Kuck et al
11-26-2019	Procrustes registration of two-dimensional statistical shape models without correspondences by Alma Eguizabal et al
11-29-2019	Learning Modular Representations for Long-Term Multi-Agent Motion Predictions by Todor Davchev et al
11-29-2019	Correlation-aware Adversarial Domain Adaptation and Generalization by Mohammad Mahfujur Rahman et al
11-27-2019	QubitHD: A Stochastic Acceleration Method for HD Computing-Based Machine Learning by Samuel Bosch et al
11-27-2019	Calibrationless Parallel MRI using Model based Deep Learning (C-MODL) by Aniket Pramanik et al
11-27-2019	Improving Model Robustness Using Causal Knowledge by Trent Kyono et al
11-29-2019	Class Teaching for Inverse Reinforcement Learners by Manuel Lopes et al
11-26-2019	Explaining Models by Propagating Shapley Values of Local Components by Hugh Chen et al
11-27-2019	Shearlets as Feature Extractor for Semantic Edge Detection: The Model-Based and Data-Driven Realm by Héctor Andrade-Loarca et al
11-26-2019	Universal EEG Encoder for Learning Diverse Intelligent Tasks by Baani Leen Kaur Jolly et al
11-27-2019	Error Resilient Deep Compressive Sensing by Thuong et al
11-27-2019	An Efficient Machine Learning-based Elderly Fall Detection Algorithm by Faisal Hussain et al
11-29-2019	Short Term Prediction of Parking Area states Using Real Time Data and Machine Learning Techniques by Jesper Provoost et al
11-29-2019	Mean Shift Rejection: Training Deep Neural Networks Without Minibatch Statistics or Normalization by Brendan Ruff et al
11-27-2019	Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech Recognition by Chao Weng et al
11-26-2019	Survey of Attacks and Defenses on Edge-Deployed Neural Networks by Mihailo Isakov et al
11-26-2019	Transfer Learning in Visual and Relational Reasoning by T. S. Jayram et al
11-26-2019	Control-Tutored Reinforcement Learning: an application to the Herding Problem by Francesco De Lellis et al
11-27-2019	Leveraging Self-supervised Denoising for Image Segmentation by Mangal Prakash et al
11-28-2019	Comparative Study of Differentially Private Synthetic Data Algorithms and Evaluation Standards by Claire McKay Bowen et al
11-29-2019	DeepAlign: Alignment-based Process Anomaly Correction using Recurrent Neural Networks by Timo Nolle et al
11-27-2019	QKD: Quantization-aware Knowledge Distillation by Jangho Kim et al
11-29-2019	SOSD: A Benchmark for Learned Indexes by Andreas Kipf et al
11-28-2019	How Can We Know What Language Models Know? by Zhengbao Jiang et al
11-29-2019	Spike-and-wave epileptiform discharge pattern detection based on Kendalls Tau-b coefficient by Antonio Quintero-Rincón et al
11-28-2019	Detection and Mitigation of Rare Subclasses in Neural Network Classifiers by Colin Paterson et al
11-27-2019	SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations by Chen Wang et al
11-27-2019	Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis by Thanh V. Nguyen et al
11-28-2019	Deep Object Co-segmentation via Spatial-Semantic Network Modulation by Kaihua Zhang et al
11-29-2019	Deep autofocus with cone-beam CT consistency constraint by Alexander Preuhs et al
11-26-2019	Assessing Supply Chain Cyber Risks by Alberto Redondo et al
11-26-2019	Can Attention Masks Improve Adversarial Robustness? by Pratik Vaishnavi et al
11-27-2019	High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection by David Zimmerer et al
11-26-2019	You might also like this model: Data Driven Approach for Recommending Deep Learning Models for Unknown Image Datasets by Ameya Prabhu et al

11-26-2019	Independence Promoted Graph Disentangled Networks by Yanbei Liu et al
11-26-2019	A Statistical Model for Dynamic Networks with Neural Variational Inference by Shubham Gupta et al
11-26-2019	Optimization of Chance-Constrained Submodular Functions by Benjamin Doerr et al
11-27-2019	Model-Aware Deep Architectures for One-Bit Compressive Variational Autoencoding by Shahin Khobahi et al
11-27-2019	Designing the Next Generation of Intelligent Personal Robotic Assistants for the Physically Impaired by Basit Ayantunde et al
11-27-2019	Product Knowledge Graph Embedding for E-commerce by Da Xu et al
11-27-2019	Dual-Attention Graph Convolutional Network by Xueya Zhang et al
11-28-2019	Addressing Time Bias in Bipartite Graph Ranking for Important Node Identification by Hao Liao et al
11-28-2019	An Efficient Multi-Domain Framework for Image-to-Image Translation by Ye Lin et al
11-28-2019	Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation by Shaokai Ye et al
11-27-2019	The Nonstochastic Control Problem by Elad Hazan et al
11-26-2019	QoS-Aware Machine Learning-based Multiple Resources Scheduling for Microservices in Cloud Environment by Lei Liu
11-26-2019	Gradient Perturbation is Underrated for Differentially Private Convex Optimization by Da Yu et al
11-27-2019	AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration by Liantao Ma et al
11-28-2019	Understand Dynamic Regret with Switching Cost for Online Decision Making by Yawei Zhao et al
11-26-2019	FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization by Xi Yin et al
11-26-2019	Join Query Optimization with Deep Reinforcement Learning Algorithms by Jonas Heitz et al
11-26-2019	Biology and Compositionality: Empirical Considerations for Emergent-Communication Protocols by Travis LaCroix
11-26-2019	Scalable Extreme Deconvolution by James A. Ritchie et al
11-26-2019	TimeCaps: Capturing Time Series Data with Capsule Networks by Hirunima Jayasekara et al
11-26-2019	Ranking architectures using meta-learning by Alina Dubatovka et al
11-26-2019	Generative Temporal Link Prediction via Self-tokenized Sequence Modeling by Yue Wang et al
11-28-2019	Free-riders in Federated Learning: Attacks and Defenses by Jierui Lin et al
11-27-2019	Solving Inverse Wave Scattering with Deep Learning by Yuwei Fan et al
11-28-2019	Towards Privacy and Security of Deep Learning Systems: A Survey by Yingzhe He et al
11-28-2019	Optimal Estimation of Change in a Population of Parameters by Ramya Korlakai Vinayak et al
11-28-2019	Using VAEs and Normalizing Flows for One-shot Text-To-Speech Synthesis of Expressive Speech by Vatsal Aggarwal et al
11-28-2019	Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices by Weidong Cao et al
11-28-2019	Stable Learning via Sample Reweighting by Zheyan Shen et al
11-27-2019	A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers by Anthony Bagnall et al
11-27-2019	Adaptive Initialization Method for K-means Algorithm by Jie Yang et al
11-29-2019	STGRAT: A Spatio-Temporal Graph Attention Network for Traffic Forecasting by Cheonbok Park et al
11-29-2019	Embedding and learning with signatures by Adeline Fermanian
11-28-2019	Machine learning for music genre: multifaceted review and experimentation with audioset by Jaime Ramírez et al
11-27-2019	Optimal checkpointing for heterogeneous chains: how to train deep neural networks with limited memory by Julien Herrmann et al
11-26-2019	Coronary Artery Classification and Weakly Supervised Abnormality Localization on Coronary CT Angiography with 3-Dimensional Convolutional Neural Networks by Sema Candemir et al
11-26-2019	ModelHub.AI: Dissemination Platform for Deep Learning Models by Ahmed Hosny et al
11-28-2019	FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions by Sebastian Schelter et al
11-26-2019	Single Sample Feature Importance: An Interpretable Algorithm for Low-Level Feature Analysis by Joseph Gatto et al
11-26-2019	Schr\odingeRNN: Generative Modeling of Raw Audio as a Continuously Observed Quantum State by Beñat Mencia Uranga et al
11-26-2019	Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving by Rupert Mitchell et al
11-26-2019	The problem with DDPG: understanding failures in deterministic environments with sparse rewards by Guillaume Matheron et al
11-26-2019	Defending Against Adversarial Machine Learning by Alison Jenkins
11-27-2019	Perceive, Transform, and Act: Multi-Modal Attention Networks for Vision-and-Language Navigation by Federico Landi et al
11-28-2019	Sentiment Analysis On Indian Indigenous Languages: A Review On Multilingual Opinion Mining by Sonali Rajesh Shah et al
11-28-2019	Richer priors for infinitely wide multi-layer perceptrons by Russell Tsuchida et al
11-28-2019	Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization by Qi Zhou et al
11-28-2019	Effective Sub-clonal Cancer Representation to Predict Tumor Evolution by Adnan Akbar et al
11-28-2019	Interpreting Epsilon of Differential Privacy in Terms of Advantage in Guessing or Approximating Sensitive Attributes by Peeter Laud et al
11-28-2019	Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation by George De Ath et al
11-28-2019	Online Pricing with Reserve Price Constraint for Personal Data Markets by Chaoyue Niu et al
11-26-2019	ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation by Yawar Siddiqui et al
11-28-2019	Computer Systems Have 99 Problems, Lets Not Make Machine Learning Another One by David Mohaisen et al
11-29-2019	Learning and Planning for Time-Varying MDPs Using Maximum Likelihood Estimation by Melkior Ornik et al
11-27-2019	Class-Conditional VAE-GAN for Local-Ancestry Simulation by Daniel Mas Montserrat et al
11-28-2019	A Generalization Theory based on Independent and Task-Identically Distributed Assumption by Guanhua Zheng et al
11-28-2019	The Weighted Tsetlin Machine: Compressed Representations with Weighted Clauses by Adrian Phoulady et al
11-27-2019	Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness by Shuo Cheng et al
11-26-2019	Privacy preserving Neural Network Inference on Encrypted Data with GPUs by Daniel Takabi et al
11-26-2019	An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations by Alireza Shamsoshoara et al
11-26-2019	PIQA: Reasoning about Physical Commonsense in Natural Language by Yonatan Bisk et al