2020.4.6 Learning papers

04-01-2020	Learning Agile Robotic Locomotion Skills by Imitating Animals by  Xue Bin Peng  et al
04-02-2020	Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers by  Zhicheng Huang  et al
04-01-2020	EPOS: Estimating 6D Pose of Objects with Symmetries by  Tomas Hodan  et al
04-01-2020	Synchronizing Probability Measures on Rotations via Optimal Transport by  Tolga Birdal  et al
04-01-2020	Sign Language Translation with Transformers by  Kayo Yin
03-31-2020	Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation by  Mariko Isogawa  et al
03-31-2020	NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay by  Jianbin Lin  et al
04-01-2020	Towards democratizing music production with AI-Design of Variational Autoencoder-based Rhythm Generator as a DAW plugin by  Nao Tokui
04-02-2020	Learning Representations For Images With Hierarchical Labels by  Ankit Dhall
04-01-2020	Physically Realizable Adversarial Examples for LiDAR Object Detection by  James Tu  et al
04-01-2020	Statistical Queries and Statistical Algorithms: Foundations and Applications by  Lev Reyzin
04-01-2020	MetaPoison: Practical General-purpose Clean-label Data Poisoning by  W. Ronny Huang  et al
03-31-2020	Diagnosing COVID-19 Pneumonia from X-Ray and CT Images using Deep Learning and Transfer Learning Algorithms by  Halgurd S. Maghdid  et al
03-31-2020	Optimising Lockdown Policies for Epidemic Control using Reinforcement Learning by  Harshad Khadilkar  et al
04-01-2020	Generalized Zero-Shot Learning Via Over-Complete Distribution by  Rohit Keshari  et al
04-01-2020	Igbo-English Machine Translation: An Evaluation Benchmark by  Ignatius Ezeani  et al
04-02-2020	PaStaNet: Toward Human Activity Knowledge Engine by  Yong-Lu Li  et al
04-01-2020	Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation by  Zhonghao Wang  et al
04-01-2020	Object-Centric Image Generation with Factored Depths, Locations, and Appearances by  Titas Anciukevicius  et al
04-01-2020	Boosting Deep Hyperspectral Image Classification with Spectral Unmixing by  Alan J. X. Guo  et al
04-01-2020	Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning by  Marco Pleines  et al
04-02-2020	Improving the Utility of Knowledge Graph Embeddings with Calibration by  Tara Safavi  et al
04-01-2020	Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning by  Jin-Woo Seo  et al
04-02-2020	Controllable Orthogonalization in Training DNNs by  Lei Huang  et al
03-31-2020	A theory of independent mechanisms for extrapolation in generative models by  Michel Besserve  et al
04-02-2020	An Attention-Based Deep Learning Model for Multiple Pedestrian Attributes Recognition by  Ehsan Yaghoubi  et al
04-01-2020	M2m: Imbalanced Classification via Major-to-minor Translation by  Jaehyung Kim  et al
03-31-2020	3D Deep Learning on Medical Images: A Review by  Satya P. Singh  et al
04-01-2020	In Automation We Trust: Investigating the Role of Uncertainty in Active Learning Systems by  Michael L. Iuzzolino  et al
04-01-2020	Two-shot Spatially-varying BRDF and Shape Estimation by  Mark Boss  et al
03-31-2020	Information Leakage in Embedding Models by  Congzheng Song  et al
04-01-2020	Adversarial Learning for Personalized Tag Recommendation by  Erik Quintanilla  et al
04-02-2020	Model-based disentanglement of lens occlusions by  Fabio Pizzati  et al
03-31-2020	Regularizing Class-wise Predictions via Self-knowledge Distillation by  Sukmin Yun  et al
04-02-2020	Learning to cooperate: Emergent communication in multi-agent navigation by  Ivana Kajić  et al
03-31-2020	Conditional Channel Gated Networks for Task-Aware Continual Learning by  Davide Abati  et al
03-31-2020	DeepSumm -- Deep Code Summaries using Neural Transformer Architecture by  Vivek Gupta
04-01-2020	Exploration of Reinforcement Learning for Event Camera using Car-like Robots by  Riku Arakawa  et al
04-02-2020	Robust Single-Image Super-Resolution via CNNs and TV-TV Minimization by  Marija Vella  et al
03-31-2020	Inverting Gradients -- How easy is it to break privacy in federated learning? by  Jonas Geiping  et al
04-02-2020	Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models by  Vijil Chenthamarakshan  et al
03-31-2020	Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models by  Liam Hiley  et al
04-01-2020	Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes by  Sravanti Addepalli  et al
03-31-2020	How Useful is Self-Supervised Pretraining for Visual Tasks? by  Alejandro Newell  et al
03-31-2020	Semi-Supervised Cervical Dysplasia Classification With Learnable Graph Convolutional Network by  Yanglan Ou  et al
03-31-2020	COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs by  Muhammad Farooq  et al
03-31-2020	A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification by  Juan M. Coria  et al
03-31-2020	AM-MobileNet1D: A Portable Model for Speaker Recognition by  João Antônio Chagas Nunes  et al
04-01-2020	Objects of violence: synthetic data for practical ML in human rights investigations by  Lachlan Kermode  et al
03-31-2020	Shared Cross-Modal Trajectory Prediction for Autonomous Driving by  Chiho Choi
03-31-2020	Ontology-based Interpretable Machine Learning for Textual Data by  Phung Lai  et al
03-31-2020	Region Proposal Network with Graph Prior and IoU-Balance Loss for Landmark Detection in 3D Ultrasound by  Chaoyu Chen  et al
03-31-2020	Company classification using machine learning by  Sven Husmann  et al
04-01-2020	Symmetry and Group in Attribute-Object Compositions by  Yong-Lu Li  et al
04-01-2020	NBDT: Neural-Backed Decision Trees by  Alvin Wan  et al
04-01-2020	Semantic Drift Compensation for Class-Incremental Learning by  Lu Yu  et al
04-01-2020	Understanding Global Feature Contributions Through Additive Importance Measures by  Ian Covert  et al
03-31-2020	An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing by  Xiaying Wang  et al
04-02-2020	Neuronal Sequence Models for Bayesian Online Inference by  Sascha Frölich  et al
04-03-2020	Aligned Cross Entropy for Non-Autoregressive Machine Translation by  Marjan Ghazvininejad  et al
04-01-2020	Fractional Deep Neural Network via Constrained Optimization by  Harbir Antil  et al
04-01-2020	Bias in Machine Learning What is it Good (and Bad) for? by  Thomas Hellström  et al
04-03-2020	TRAMP: Compositional Inference with TRee Approximate Message Passing by  Antoine Baker  et al
03-31-2020	A Clustering Framework for Lexical Normalization of Roman Urdu by  Abdul Rafae Khan  et al
03-31-2020	MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning by  Yuan Gao  et al
04-03-2020	Faster Gaussian Processes via Deep Embeddings by  Constantinos Daskalakis  et al
04-01-2020	Learning to Select Base Classes for Few-shot Classification by  Linjun Zhou  et al
03-31-2020	Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset by  Lee Callender  et al
04-01-2020	Deep transformation models: Tackling complex regression problems with neural network based transformation models by  Beate Sick  et al
04-01-2020	Constrained-Space Optimization and Reinforcement Learning for Complex Tasks by  Ya-Yen Tsai  et al
04-02-2020	Best Practices for Transparency in Machine Generated Personalization by  Laura Schelenz  et al
04-01-2020	Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization by  Zhi Han  et al
04-01-2020	Adversarial Transfer Learning for Punctuation Restoration by  Jiangyan Yi  et al
03-31-2020	SK-Net: Deep Learning on Point Cloud via End-to-end Discovery of Spatial Keypoints by  Weikun Wu  et al
03-31-2020	Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent Neural Networks by  Prajit Dhar  et al
03-31-2020	Learning from Small Data Through Sampling an Implicit Conditional Generative Latent Optimization Model by  Idan Azuri  et al
03-31-2020	Towards Lifelong Self-Supervision For Unpaired Image-to-Image Translation by  Victor Schmidt  et al
04-01-2020	A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus by  Yuzheng Li  et al
03-31-2020	Deep Probabilistic Modelling of Price Movements for High-Frequency Trading by  Ye-Sheen Lim  et al
04-03-2020	Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN by  Tingyi Wanyan  et al
03-31-2020	Enriching Consumer Health Vocabulary Using Enhanced GloVe Word Embedding by  Mohammed Ibrahim  et al
04-03-2020	A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control by  Supriyo Ghosh  et al
03-31-2020	Distilled Semantics for Comprehensive Scene Understanding from Videos by  Fabio Tosi  et al
04-02-2020	Deformation-Aware 3D Model Embedding and Retrieval by  Mikaela Angelina Uy  et al
03-31-2020	A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction by  Rodrigo de Medrano  et al
03-31-2020	Extreme Multi-label Classification from Aggregated Labels by  Yanyao Shen  et al
03-31-2020	Leverage the Average: an Analysis of Regularization in RL by  Nino Vieillard  et al
04-01-2020	Editable Neural Networks by  Anton Sinitsin  et al
03-31-2020	Learning to Ask Medical Questions using Reinforcement Learning by  Uri Shaham  et al
04-02-2020	Safe Reinforcement Learning via Projection on a Safe Set: How to Achieve Optimality? by  Sebastien Gros  et al
03-31-2020	EOLO: Embedded Object Segmentation only Look Once by  Longfei Zeng  et al
04-03-2020	Quantifying Data Augmentation for LiDAR based 3D Object Detection by  Martin Hahner  et al
04-03-2020	Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning by  Paulo R. de O. da Costa  et al
04-01-2020	From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction by  Henning Lange  et al
04-03-2020	Keyphrase Rubric Relationship Classification in Complex Assignments by  Manikandan Ravikiran
03-31-2020	Neural network based country wise risk prediction of COVID-19 by  Ratnabali Pal  et al
03-31-2020	UniformAugment: A Search-free Probabilistic Data Augmentation Approach by  Tom Ching LingChen  et al
03-31-2020	Deep Recurrent Modelling of Stationary Bitcoin Price Formation Using the Order Flow by  Ye-Sheen Lim  et al
04-03-2020	Effective Fusion of Deep Multitasking Representations for Robust Visual Tracking by  Seyed Mojtaba Marvasti-Zadeh  et al
04-03-2020	Sequential Learning for Domain Generalization by  Da Li  et al
03-31-2020	Machine Learning Algorithms for Financial Asset Price Forecasting by  Philip Ndikum
04-02-2020	Mirrorless Mirror Descent: A More Natural Discretization of Riemannian Gradient Flow by  Suriya Gunasekar  et al
04-03-2020	Detection of Perineural Invasion in Prostate Needle Biopsies with Deep Neural Networks by  Peter Ström  et al
04-03-2020	Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks by  Alexander Ding  et al
04-02-2020	Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T) by  Arturo Marban  et al
04-01-2020	Sequential Feature Classification in the Context of Redundancies by  Lukas Pfannschmidt  et al
04-02-2020	Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning by  Weichao Mao  et al
04-02-2020	STAN-CT: Standardizing CT Image using Generative Adversarial Network by  Md Selim  et al
04-01-2020	Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art by  Mohammad Braei  et al
03-31-2020	A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays by  Chendi Rao  et al
04-02-2020	Multi-agent Reinforcement Learning for Networked System Control by  Tianshu Chu  et al
03-31-2020	Optimal Bidding Strategy without Exploration in Real-time Bidding by  Aritra Ghosh  et al
03-31-2020	Fully-Corrective Gradient Boosting with Squared Hinge: Fast Learning Rates and Early Stopping by  Jinshan Zeng  et al
03-31-2020	Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes by  Huanjing Yue  et al
03-31-2020	A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set by  Philippe Besse  et al
04-02-2020	Average Reward Adjusted Discounted Reinforcement Learning: Near-Blackwell-Optimal Policies for Real-World Applications by  Manuel Schneckenreither
03-31-2020	Deep semantic gaze embedding and scanpath comparison for expertise classification during OPT viewing by  Nora Castner  et al
04-01-2020	Work in Progress: Temporally Extended Auxiliary Tasks by  Craig Sherstan  et al
04-01-2020	A generalised OMP algorithm for feature selection with application to gene expression data by  Michail Tsagris  et al
04-02-2020	Towards Relevance and Sequence Modeling in Language Recognition by  Bharat Padi  et al
04-03-2020	Near-chip Dynamic Vision Filtering for Low-Bandwidth Pedestrian Detection by  Anthony Bisulco  et al
04-02-2020	Unpack Local Model Interpretation for GBDT by  Wenjing Fang  et al
03-31-2020	Deep State Space Models for Nonlinear System Identification by  Daniel Gedon  et al
04-03-2020	Deep Learning based detection of Acute Aortic Syndrome in contrast CT images by  Manikanta Srikar Yellapragada  et al
04-01-2020	SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models by  Yucen Luo  et al
04-01-2020	Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach by  Ali Siahkoohi  et al
04-03-2020	Reinforcement Learning for Mixed-Integer Problems Based on MPC by  Sebastien Gros  et al
04-03-2020	Interpreting Medical Image Classifiers by Optimization Based Counterfactual Impact Analysis by  David Major  et al
04-03-2020	Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology by  Srinath Jayachandran  et al
04-02-2020	FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret by  Vishnu Suresh Lokhande  et al
04-02-2020	Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles by  Younkwan Lee  et al
04-01-2020	Development of swarm behavior in artificial learning agents that adapt to different foraging environments by  Andrea López-Incera  et al
03-31-2020	Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity Volume by  Adrian Johnston  et al
03-31-2020	Automated Configuration of Negotiation Strategies by  Bram M. Renting  et al
04-01-2020	Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations by  Zhuangdi Zhu  et al
04-03-2020	Neural i-vectors by  Ville Vestman  et al
04-01-2020	Stopping Criteria for, and Strong Convergence of, Stochastic Gradient Descent on Bottou-Curtis-Nocedal Functions by  Vivak Patel
04-01-2020	No-regret learning dynamics for extensive-form correlated and coarse correlated equilibria by  Andrea Celli  et al

04-03-2020	Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip by  Yuxuan Song  et al
04-01-2020	Statistically Model Checking PCTL Specifications on Markov Decision Processes via Reinforcement Learning by  Yu Wang  et al
04-01-2020	OptTyper: Probabilistic Type Inference by Optimising Logical and Natural Constraints by  Irene Vlassi Pandi  et al
03-31-2020	Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning by  Zhekun Luo  et al
04-01-2020	Distance and Equivalence between Finite State Machines and Recurrent Neural Networks: Computational results by  Reda Marzouk  et al
04-03-2020	Epitomic Variational Graph Autoencoder by  Rayyan Ahmad Khan  et al
04-01-2020	A Modular Neural Network Based Deep Learning Approach for MIMO Signal Detection by  Songyan Xue  et al
04-03-2020	Learning synchronous context-free grammars with multiple specialised non-terminals for hierarchical phrase-based translation by  Felipe Sánchez-Martínez  et al
04-03-2020	Predicting rice blast disease: machine learning versus process based models by  David F. Nettleton  et al
03-31-2020	Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition by  Zhentao Tang  et al
04-02-2020	Sum-product networks: A survey by  Iago París  et al
03-31-2020	Worst-Case Risk Quantification under Distributional Ambiguity using Kernel Mean Embedding in Moment Problem by  Jia-Jie Zhu  et al
04-01-2020	Time-Frequency Analysis based Blind Modulation Classification for Multiple-Antenna Systems by  Weiheng Jiang  et al
04-01-2020	Projection Pursuit Gaussian Process Regression by  Gecheng Chen  et al
04-02-2020	Identification Methods With Arbitrary Interventional Distributions as Inputs by  Jaron J. R. Lee  et al
04-01-2020	Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints by  Eduardo C. Garrido-Merchán  et al
04-01-2020	Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN by  Hansheng Xue  et al
04-02-2020	Introducing Anisotropic Minkowski Functionals for Local Structure Analysis and Prediction of Biomechanical Strength of Proximal Femur Specimens by  Titas De
04-03-2020	Hawkes Process Multi-armed Bandits for Disaster Search and Rescue by  Wen-Hao Chiang  et al
03-31-2020	Robotic Table Tennis with Model-Free Reinforcement Learning by  Wenbo Gao  et al
04-02-2020	Supervised Learning with Quantum Measurements by  Fabio A. González  et al
04-01-2020	Drug-disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data by  Heeyoung Kwak  et al
04-02-2020	Kernel autocovariance operators of stationary processes: Estimation and convergence by  Mattes Mollenhauer  et al
04-02-2020	General Identification of Dynamic Treatment Regimes Under Interference by  Eli Sherman  et al
04-01-2020	Differential Privacy for Sequential Algorithms by  Yu Wang  et al
04-01-2020	Total Variation Regularization for Compartmental Epidemic Models with Time-varying Dynamics by  Wenjie Zheng
03-31-2020	Efficient Machine Learning Approach for Optimizing the Timing Resolution of a High Purity Germanium Detector by  R. W. Gladen  et al
04-03-2020	Resampling with neural networks for stochastic parameterization in multiscale systems by  Daan Crommelin  et al
04-03-2020	On-Device Transfer Learning for Personalising Psychological Stress Modelling using a Convolutional Neural Network by  Kieran Woodward  et al
03-31-2020	APPLD: Adaptive Planner Parameter Learning from Demonstration by  Xuesu Xiao  et al
04-02-2020	Enhance the performance of navigation: A two-stage machine learning approach by  Yimin Fan  et al
03-31-2020	Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence by  Nicolas Donati  et al
03-31-2020	Second-Order Guarantees in Centralized, Federated and Decentralized Nonconvex Optimization by  Stefan Vlaski  et al
04-01-2020	Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution by  Filipe Assunção  et al
03-31-2020	Will we ever have Conscious Machines? by  Patrick Krauss  et al
04-03-2020	From Local SGD to Local Fixed Point Methods for Federated Learning by  Grigory Malinovsky  et al
04-03-2020	FeederGAN: Synthetic Feeder Generation via Deep Graph Adversarial Nets by  Ming Liang  et al
03-31-2020	Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time by  Gerome Vivar  et al
04-02-2020	Combating The Machine Ethics Crisis: An Educational Approach by  Tai Vu
04-02-2020	Detection of Coronavirus (COVID-19) Associated Pneumonia based on Generative Adversarial Networks and a Fine-Tuned Deep Transfer Learning Model using Chest X-ray Dataset by  Nour Eldeen M. Khalifa  et al
04-01-2020	One-shot path planning for multi-agent systems using fully convolutional neural network by  Tomas Kulvicius  et al
04-01-2020	Assisted Learning and Imitation Privacy by  Xun Xian  et al
04-02-2020	Motif-Based Spectral Clustering of Weighted Directed Networks by  William George Underwood  et al
04-01-2020	Generation of Paths in a Maze using a Deep Network without Learning by  Tomas Kulvicius  et al
04-02-2020	Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation by  Mengyue Yang  et al
04-01-2020	Scheduling in Cellular Federated Edge Learning with Importance and Channel Awareness by  Jinke Ren  et al
04-03-2020	A rigorous method to compare interpretability of rule-based algorithms by  Vincent Margot
04-03-2020	Neural Architecture Generator Optimization by  Binxin Ru  et al
04-01-2020	Botnet Detection Using Recurrent Variational Autoencoder by  Jeeyung Kim  et al
03-31-2020	Deep learning for Stock Market Prediction by  Mojtaba Nabipour  et al
03-31-2020	Augmented Q Imitation Learning (AQIL) by  Xiao Lei Zhang  et al
04-02-2020	On the Principles of Differentiable Quantum Programming Languages by  Shaopeng Zhu  et al
04-02-2020	Randomized Kernel Multi-view Discriminant Analysis by  Xiaoyun Li  et al
04-01-2020	Impact of Semantic Granularity on Geographic Information Search Support by  Noemi Mauro  et al
04-01-2020	DeepSIBA: Chemical Structure-based Inference of Biological Alterations by  C. Fotis  et al
04-03-2020	Neural Conditional Event Time Models by  Matthew Engelhard  et al
04-01-2020	Handling Concept Drifts in Regression Problems -- the Error Intersection Approach by  Lucas Baier  et al
03-31-2020	On the Need of Removing Last Releases of Data When Using or Validating Defect Prediction Models by  Aalok Ahluwalia  et al
04-03-2020	M2pht: Mixed Models with Preferences and Hybrid Transitions for Next-Basket Recommendation by  Bo Peng  et al
04-02-2020	Surrogate-assisted performance tuning of knowledge discovery algorithms: application to clinical pathway evolutionary modeling by  Anastasia A. Funkner  et al
04-02-2020	Guided Variational Autoencoder for Disentanglement Learning by  Zheng Ding  et al
04-03-2020	Weighted Random Search for Hyperparameter Optimization by  Adrian-Catalin Florea  et al
04-01-2020	Tightened Convex Relaxations for Neural Network Robustness Certification by  Brendon G. Anderson  et al
04-03-2020	Using Large-Scale Anomaly Detection on Code to Improve Kotlin Compiler by  Timofey Bryksin  et al
04-02-2020	Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations by  Richard Meyes  et al
04-01-2020	Multi-label learning for dynamic model type recommendation by  Mariana A. Souza  et al
04-03-2020	Orthogonal Inductive Matrix Completion by  Antoine Ledent  et al
04-03-2020	Predicting the risk of pancreatic cancer with a CT-based ensemble AI algorithm by  Chenjie Zhou MD  et al
04-02-2020	Improving auditory attention decoding performance of linear and non-linear methods using state-space model by  Ali Aroudi  et al
04-02-2020	Predicting Injectable Medication Adherence via a Smart Sharps Bin and Machine Learning by  Yingqi Gu  et al
04-01-2020	Can Machine Learning Be Used to Recognize and Diagnose Coughs? by  Charles Bales  et al
04-02-2020	Predictive Bandits by  Simon Lindståhl  et al
04-01-2020	Temporarily-Aware Context Modelling using Generative Adversarial Networks for Speech Activity Detection by  Tharindu Fernando  et al
04-01-2020	Provable Sample Complexity Guarantees for Learning of Continuous-Action Graphical Games with Nonparametric Utilities by  Adarsh Barik  et al
04-02-2020	Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture Imaging by  Zackory Erickson  et al
04-02-2020	Distributed Primal-Dual Optimization for Online Multi-Task Learning by  Peng Yang  et al
04-02-2020	AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App by  Ali Imran  et al
04-02-2020	Predicting the outputs of finite networks trained with noisy gradients by  Gadi Naveh  et al
03-31-2020	Controlling Rayleigh-B\enard convection via Reinforcement Learning by  Gerben Beintema  et al
03-31-2020	Exact marginal inference in Latent Dirichlet Allocation by  Hartmut Maennel
03-31-2020	Fairness in ad auctions through inverse proportionality by  Shuchi Chawla  et al
04-02-2020	IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation by  Xiaoyun Li  et al
03-31-2020	Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond by  Carl Yang  et al
04-03-2020	Data-Driven Transient Stability Boundary Generation for Online Security Monitoring by  Rong Yan  et al
03-31-2020	Task-adaptive Asymmetric Deep Cross-modal Hashing by  Tong Wang  et al
04-02-2020	Distributed Hypothesis Testing and Social Learning in Finite Time with a Finite Amount of Communication by  Shreyas Sundaram  et al
04-02-2020	Event-Triggered Distributed Inference by  Aritra Mitra  et al
04-02-2020	Trajectory Optimization for Nonlinear Multi-Agent Systems using Decentralized Learning Model Predictive Control by  Edward L. Zhu  et al
04-02-2020	Introducing Anisotropic Minkowski Functionals and Quantitative Anisotropy Measures for Local Structure Analysis in Biomedical Imaging by  Axel Wismueller  et al