2020.5.25 Learning papers

05-20-2020	Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere by Tongzhou Wang et al
05-20-2020	What makes for good views for contrastive learning by Yonglong Tian et al
05-21-2020	Wish You Were Here: Context-Aware Human Generation by Oran Gafni et al
05-19-2020	Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization by Peter Karkus et al
05-19-2020	Improved Noisy Student Training for Automatic Speech Recognition by Daniel S. Park et al
05-19-2020	FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval by Dehong Gao et al
05-19-2020	On the Value of Out-of-Distribution Testing: An Example of Goodharts Law by Damien Teney et al
05-20-2020	Feature Purification: How Adversarial Training Performs Robust Deep Learning by Zeyuan Allen-Zhu et al
05-20-2020	Model-Based Robust Deep Learning by Alexander Robey et al
05-20-2020	Adversarial Canonical Correlation Analysis by Benjamin Dutton
05-20-2020	BERTweet: A pre-trained language model for English Tweets by Dat Quoc Nguyen et al
05-21-2020	Few-shot Compositional Font Generation with Dual Memory by Junbum Cha et al
05-20-2020	HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation by Kelei He et al
05-21-2020	HyperSTAR: Task-Aware Hyperparameters for Deep Networks by Gaurav Mittal et al
05-20-2020	An Adversarial Approach for Explaining the Predictions of Deep Neural Networks by Arash Rahnama et al
05-20-2020	Uncertainty Quantification Using Neural Networks for Molecular Property Prediction by Lior Hirschfeld et al
05-20-2020	CPOT: Channel Pruning via Optimal Transport by Yucong Shen et al
05-20-2020	Supervised learning with artificial hydrocarbon networks: an open source implementation and its applications by Jose Roberto Ayala-Solares et al
05-20-2020	Adversarial Machine Learning in Recommender Systems: State of the art and Challenges by Yashar Deldjoo et al
05-20-2020	Interpretable and Accurate Fine-grained Recognition via Region Grouping by Zixuan Huang et al
05-20-2020	Deep learning-based automated image segmentation for concrete petrographic analysis by Yu Song et al
05-20-2020	Lung Segmentation from Chest X-rays using Variational Data Imputation by Raghavendra Selvan et al
05-19-2020	Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI by Jesse A. Livezey et al
05-20-2020	Automated Question Answer medical model based on Deep Learning Technology by Abdelrahman Abdallah et al
05-21-2020	Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification by Renato Hermoza et al
05-20-2020	Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation by Jungseock Joo et al
05-20-2020	Deep Reinforcement Learning for High Level Character Control by Caio Souza et al
05-19-2020	Self-supervised Dynamic CT Perfusion Image Denoising with Deep Neural Networks by Dufan Wu et al
05-20-2020	Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields with a Generative Adversarial Network by Jussi Leinonen et al
05-21-2020	Cross-Domain Few-Shot Learning with Meta Fine-Tuning by John Cai et al
05-20-2020	Cross-lingual Multispeaker Text-to-Speech under Limited-Data Scenario by Zexin Cai et al
05-21-2020	Understanding the Importance of Heart Sound Segmentation for Heart Anomaly Detection by Theekshana Dissanayake et al
05-19-2020	Synthesizing Unrestricted False Positive Adversarial Objects Using Generative Models by Martin Kotuliak et al
05-21-2020	Robust Ensemble Model Training via Random Layer Sampling Against Adversarial Attack by Hakmin Lee et al
05-21-2020	AOWS: Adaptive and optimal network width search with latency constraints by Maxim Berman et al
05-21-2020	Supervised Learning in the Presence of Concept Drift: A modelling framework by Michiel Straat et al
05-20-2020	Why distillation helps: a statistical perspective by Aditya Krishna Menon et al
05-21-2020	Head2Head: Video-based Neural Head Synthesis by Mohammad Rami Koujan et al
05-19-2020	Identifying Statistical Bias in Dataset Replication by Logan Engstrom et al
05-20-2020	Map Generation from Large Scale Incomplete and Inaccurate Data Labels by Rui Zhang et al
05-20-2020	Automated Copper Alloy Grain Size Evaluation Using a Deep-learning CNN by George S. Baggs et al
05-19-2020	Normalized Attention Without Probability Cage by Oliver Richter et al
05-22-2020	Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks by Hokuto Hirano et al
05-21-2020	Revisiting Role of Autoencoders in Adversarial Settings by Byeong Cheon Kim et al
05-19-2020	Privileged Information Dropout in Reinforcement Learning by Pierre-Alexandre Kamienny et al
05-19-2020	Assertion Detection in Multi-Label Clinical Text using Scope Localization by Rajeev Bhatt Ambati et al
05-21-2020	A Nearest Neighbor Network to Extract Digital Terrain Models from 3D Point Clouds by Mohammed Yousefhussiena et al
05-20-2020	Reducing Overlearning through Disentangled Representations by Suppressing Unknown Tasks by Naveen Panwar et al
05-19-2020	Neural Ordinary Differential Equation based Recurrent Neural Network Model by Mansura Habiba et al
05-19-2020	Mirror Descent Policy Optimization by Manan Tomar et al
05-21-2020	Hidden Markov Chains, Entropic Forward-Backward, and Part-Of-Speech Tagging by Elie Azeraf et al
05-19-2020	Holistic Parameteric Reconstruction of Building Models from Point Clouds by Zhixin Li et al
05-19-2020	Deep Learning Guided Building Reconstruction from Satellite Imagery-derived Point Clouds by Bo Xu et al
05-21-2020	An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challenges by David Charte et al
05-20-2020	Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images by Yixing Huang et al
05-20-2020	Training Keyword Spotting Models on Non-IID Data with Federated Learning by Andrew Hard et al
05-20-2020	An LSTM approach to Predict Migration based on Google Trends by Nicolas Golenvaux et al
05-19-2020	Medical Image Generation using Generative Adversarial Networks by Nripendra Kumar Singh et al
05-20-2020	Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection by Alex Bewley et al
05-22-2020	Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data by Garrett Wilson et al
05-21-2020	Deep learning application of vibration data for predictive maintenance of gravity acceleration equipment by SeonWoo Lee et al
05-21-2020	Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making by Harini Suresh et al
05-21-2020	A Concise Review of Recent Few-shot Meta-learning Methods by Xiaoxu Li et al
05-20-2020	Unsupposable Test-data Generation for Machine-learned Software by Naoto Sato et al
05-19-2020	ISeeU2: Visually Interpretable ICU mortality prediction using deep learning and free-text medical notes by William Caicedo-Torres et al
05-20-2020	Risk of Training Diagnostic Algorithms on Data with Demographic Bias by Samaneh Abbasi-Sureshjani et al
05-21-2020	Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator by Siamak Zamani Dadaneh et al
05-20-2020	Reinforcement Learning for Variable Selection in a Branch and Bound Algorithm by Marc Etheve et al
05-22-2020	SODA: Detecting Covid-19 in Chest X-rays with Semi-supervised Open Set Domain Adaptation by Jieli Zhou et al
05-19-2020	pp-Norm Flow Diffusion for Local Graph Clustering by Shenghao Yang et al
05-21-2020	Accelerated Convergence for Counterfactual Learning to Rank by Rolf Jagerman et al
05-19-2020	Patch Attack for Automatic Check-out by Aishan Liu et al
05-19-2020	Adaptive First-and Zeroth-order Methods for Weakly Convex Stochastic Optimization Problems by Parvin Nazari et al
05-20-2020	Learning to Transfer Dynamic Models of Underactuated Soft Robotic Hands by Liam Schramm et al
05-20-2020	A reinforcement learning based decision support system in textile manufacturing process by Zhenglei He et al
05-20-2020	Multitask Learning with Single Gradient Step Update for Task Balancing by Sungjae Lee et al
05-20-2020	Early Stage LM Integration Using Local and Global Log-Linear Combination by Wilfried Michel et al
05-19-2020	SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation by Sungmin Kang et al
05-20-2020	Consistent and Flexible Selectivity Estimation for High-dimensional Data by Yaoshu Wang et al
05-19-2020	Unsupervised anomaly localization using VAE and beta-VAE by Leixin Zhou et al
05-20-2020	Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources by Magdalena Biesialska et al
05-20-2020	Graph-based, Self-Supervised Program Repair from Diagnostic Feedback by Michihiro Yasunaga et al
05-22-2020	Comparative Study of Machine Learning Models and BERT on SQuAD by Devshree Patel et al
05-20-2020	Network On Network for Tabular Data Classification in Real-world Applications by Yuanfei Luo et al
05-20-2020	Accounting for Input Noise in Gaussian Process Parameter Retrieval by J. Emmanuel Johnson et al
05-20-2020	Understanding Negative Sampling in Graph Representation Learning by Zhen Yang et al
05-20-2020	Fair Outlier Detection by Deepak P et al
05-20-2020	BiQGEMM: Matrix Multiplication with Lookup Table For Binary-Coding-based Quantized DNNs by Yongkweon Jeon et al
05-20-2020	BlaBla: Linguistic Feature Extraction for Clinical Analysis in Multiple Languages by Abhishek Shivkumar et al
05-21-2020	Succinct Trit-array Trie for Scalable Trajectory Similarity Search by Shunsuke Kanda et al
05-21-2020	Novel Policy Seeking with Constrained Optimization by Hao Sun et al
05-20-2020	An Analysis of Regularized Approaches for Constrained Machine Learning by Michele Lombardi et al
05-20-2020	GM-CTSC at SemEval-2020 Task 1: Gaussian Mixtures Cross Temporal Similarity Clustering by Pierluigi Cassotti et al
05-20-2020	Consensus Driven Learning by Kyle Crandall et al
05-22-2020	Semi-supervised Medical Image Classification with Global Latent Mixing by Prashnna Kumar Gyawali et al
05-20-2020	Leveraging Text Data Using Hybrid Transformer-LSTM Based End-to-End ASR in Transfer Learning by Zhiping Zeng et al
05-22-2020	Position-based Scaled Gradient for Model Quantization and Sparse Training by Jangho Kim et al
05-22-2020	A Comparative Evaluation of Heart Rate Estimation Methods using Face Videos by Javier Hernandez-Ortega et al
05-20-2020	Studying Product Competition Using Representation Learning by Fanglin Chen et al
05-19-2020	Enhancing Monotonic Multihead Attention for Streaming ASR by Hirofumi Inaguma et al
05-19-2020	Cross-lingual Transfer Learning for Dialogue Act Recognition by Jiří Martínek et al
05-19-2020	Bayesian Subspace HMM for the Zerospeech 2020 Challenge by Bolaji Yusuf et al
05-19-2020	Experience Augmentation: Boosting and Accelerating Off-Policy Multi-Agent Reinforcement Learning by Zhenhui Ye et al
05-20-2020	Best Arm Identification in Spectral Bandits by Tomáš Kocák et al
05-19-2020	Investigations on Phoneme-Based End-To-End Speech Recognition by Albert Zeyer et al
05-22-2020	Deep Learning Based Detection and Localization of Cerebal Aneurysms in Computed Tomography Angiography by Ziheng Duan et al
05-20-2020	A Novel Meta Learning Framework for Feature Selection using Data Synthesis and Fuzzy Similarity by Zixiao Shen et al
05-22-2020	Point2Mesh: A Self-Prior for Deformable Meshes by Rana Hanocka et al
05-19-2020	Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization by Yueh-Hua Wu et al
05-21-2020	Kolmogorov Width Decay and Poor Approximators in Machine Learning: Shallow Neural Networks, Random Feature Models and Neural Tangent Kernels by Weinan E et al
05-21-2020	Global Optimization of Gaussian processes by Artur M. Schweidtmann et al
05-19-2020	Exploring Recurrent, Memory and Attention Based Architectures for Scoring Interactional Aspects of Human-Machine Text Dialog by Vikram Ramanarayanan et al
05-22-2020	Graph Random Neural Network by Wenzheng Feng et al

05-19-2020	Table Search Using a Deep Contextualized Language Model by Zhiyu Chen et al
05-20-2020	Hidden Markov Models and their Application for Predicting Failure Events by Paul Hofmann et al
05-19-2020	Neural Collaborative Filtering vs. Matrix Factorization Revisited by Steffen Rendle et al
05-19-2020	A cognitive based Intrusion detection system by Siamak Parhizkari et al
05-21-2020	Computationally efficient sparse clustering by Matthias Löffler et al
05-19-2020	Learning Representations using Spectral-Biased Random Walks on Graphs by Charu Sharma et al
05-19-2020	A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments by Sindhu Padakandla
05-22-2020	From ImageNet to Image Classification: Contextualizing Progress on Benchmarks by Dimitris Tsipras et al
05-22-2020	Feature selection for gesture recognition in Internet-of-Things for healthcare by Giulia Cisotto et al
05-22-2020	PruneNet: Channel Pruning via Global Importance by Ashish Khetan et al
05-21-2020	A Complex KBQA System using Multiple Reasoning Paths by Kechen Qin et al
05-20-2020	An Incremental Clustering Method for Anomaly Detection in Flight Data by Weizun Zhao et al
05-21-2020	Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits by Yuetian Luo et al
05-19-2020	Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text by Lukas Lange et al
05-20-2020	Nonparametric Score Estimators by Yuhao Zhou et al
05-19-2020	On the Choice of Auxiliary Languages for Improved Sequence Tagging by Lukas Lange et al
05-21-2020	Sequential Recommendation with Self-Attentive Multi-Adversarial Network by Ruiyang Ren et al
05-20-2020	Anomaly Detection in Video Games by Benedict Wilkins et al
05-19-2020	Continuous LWE by Joan Bruna et al
05-20-2020	Graph Structure Learning for Robust Graph Neural Networks by Wei Jin et al
05-21-2020	Team Neuro at SemEval-2020 Task 8: Multi-Modal Fine Grain Emotion Classification of Memes using Multitask Learning by Sourya Dipta Das et al
05-20-2020	Tessellated Wasserstein Auto-Encoders by Kuo Gai et al
05-19-2020	Improving Deep Learning Models via Constraint-Based Domain Knowledge: a Brief Survey by Andrea Borghesi et al
05-21-2020	Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation by Adit Krishnan et al
05-21-2020	SpotFast Networks with Memory Augmented Lateral Transformers for Lipreading by Peratham Wiriyathammabhum
05-22-2020	Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking by Natalia Vesselinova et al
05-22-2020	Deep covariate-learning: optimising information extraction from terrain texture for geostatistical modelling applications by Charlie Kirkwood
05-21-2020	Provably Efficient Reinforcement Learning with General Value Function Approximation by Ruosong Wang et al
05-19-2020	hidden markov random fields and cuckoo search method for medical image segmentation by EL-Hachemi Guerrout et al
05-22-2020	An Introduction to Neural Architecture Search for Convolutional Networks by George Kyriakides et al
05-19-2020	Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting by Hong-Bin Liu et al
05-20-2020	The Effects of Randomness on the Stability of Node Embeddings by Tobias Schumacher et al
05-20-2020	Combining Experts Causal Judgments by Dalal Alrajeh et al
05-22-2020	Convolutional Neural Networks applied to sky images for short-term solar irradiance forecasting by Quentin Paletta et al
05-19-2020	Toward Automated Classroom Observation: Multimodal Machine Learning to Estimate CLASS Positive Climate and Negative Climate by Anand Ramakrishnan et al
05-21-2020	Unsupervised Domain Adaptation in Semantic Segmentation: a Review by Marco Toldo et al
05-19-2020	The Skincare project, an interactive deep learning system for differential diagnosis of malignant skin lesions. Technical Report by Daniel Sonntag et al
05-19-2020	Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain by Lukas Lange et al
05-22-2020	Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties by Jakob Lindinger et al
05-20-2020	The Random Feature Model for Input-Output Maps between Banach Spaces by Nicholas H. Nelsen et al
05-19-2020	Exponential ergodicity of mirror-Langevin diffusions by Sinho Chewi et al
05-21-2020	When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network for Image Recognition with Limited Data by Hao Tang et al
05-19-2020	Anomalous sound detection based on interpolation deep neural network by Kaori Suefusa et al
05-19-2020	Transfer learning based multi-fidelity physics informed deep neural network by Souvik Chakraborty
05-20-2020	Informative Path Planning for Anomaly Detection in Environment Exploration and Monitoring by Antoine Blanchard et al
05-19-2020	A New Training Pipeline for an Improved Neural Transducer by Albert Zeyer et al
05-22-2020	DJEnsemble: On the Selection of a Disjoint Ensemble of Deep Learning Black-Box Spatio-temporal Models by Yania Molina Souto et al
05-20-2020	Batch Decorrelation for Active Metric Learning by Priyadarshini K et al
05-21-2020	On the Locality of the Natural Gradient for Deep Learning by Nihat Ay
05-22-2020	T-RECS: a Transformer-based Recommender Generating Textual Explanations and Integrating Unsupervised Language-based Critiquing by Diego Antognini et al
05-22-2020	The Average-Case Time Complexity of Certifying the Restricted Isometry Property by Yunzi Ding et al
05-19-2020	Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition by Yan Gao et al
05-22-2020	Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models by Mengxi Wei et al
05-22-2020	Intent Mining from past conversations for Conversational Agent by Ajay Chatterjee et al
05-22-2020	Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful by Jingge Zhu
05-20-2020	The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models by Stephan Rabanser et al
05-19-2020	Symbolic Pregression: Discovering Physical Laws from Raw Distorted Video by Silviu-Marian Udrescu et al
05-20-2020	Towards Cover Song Detection with Siamese Convolutional Neural Networks by Marko Stamenovic
05-19-2020	Controllable Multi-Interest Framework for Recommendation by Yukuo Cen et al
05-22-2020	Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics by Payel Das et al
05-22-2020	Rdimtools: An R package for Dimension Reduction and Intrinsic Dimension Estimation by Kisung You
05-22-2020	Premium Access to Convolutional Neural Networks by Julien Bringer et al
05-21-2020	Off-policy Learning for Remote Electrical Tilt Optimization by Filippo Vannella et al
05-20-2020	Principal Fairness for Human and Algorithmic Decision-Making by Kosuke Imai et al
05-21-2020	CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network by Cheng Zhao et al
05-19-2020	AEVB-Comm: An Intelligent CommunicationSystem based on AEVBs by Raghu Vamshi Hemadri et al
05-21-2020	Large scale evaluation of importance maps in automatic speech recognition by Viet Anh Trinh et al
05-21-2020	Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping by Eduard Gorbunov et al
05-21-2020	Conditionally Deep Hybrid Neural Networks Across Edge and Cloud by Yinghan Long et al
05-20-2020	The Inverse G-Wishart Distribution and Variational Message Passing by L. Maestrini et al
05-20-2020	ReLU Code Space: A Basis for Rating Network Quality Besides Accuracy by Natalia Shepeleva et al
05-20-2020	Machine Identification of High Impact Research through Text and Image Analysis by Marko Stamenovic et al
05-21-2020	Can Shallow Neural Networks Beat the Curse of Dimensionality? A mean field training perspective by Stephan Wojtowytsch et al
05-22-2020	Fast differentiable DNA and protein sequence optimization for molecular design by Johannes Linder et al
05-19-2020	Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning by Jia-Fong Yeh et al
05-21-2020	Evaluation of deep convolutional neural networks in classifying human embryo images based on their morphological quality by Prudhvi Thirumalaraju et al
05-19-2020	Revisiting Concentration of Missing Mass by Maciej Skorski
05-22-2020	Discovering Frequent Gradual Itemsets with Imprecise Data by Michaël Chirmeni Boujike et al
05-20-2020	Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise by Yue Wang et al
05-20-2020	M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems by Menghan Wang et al
05-20-2020	Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms by Youssef Achenchabe et al
05-21-2020	Graphical continuous Lyapunov models by Gherardo Varando et al
05-20-2020	A Minimal-Input Multilayer Perceptron for Predicting Drug-Drug Interactions Without Knowledge of Drug Structure by Alun Stokes et al
05-22-2020	A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances by Fan Zhou et al
05-19-2020	Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy by Bashir Rastegarpanah et al
05-21-2020	Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time by Benjamin E. Nye et al
05-19-2020	Learning to Herd Agents Amongst Obstacles: Training Robust Shepherding Behaviors using Deep Reinforcement Learning by Jixuan Zhi et al
05-20-2020	SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning by Nishat Koti et al
05-22-2020	Online Non-convex Learning for River Pollution Source Identification by Wenjie Huang et al
05-22-2020	Secure and Differentially Private Bayesian Learning on Distributed Data by Yeongjae Gil et al
05-19-2020	Improving Proper Noun Recognition in End-to-End ASR By Customization of the MWER Loss Criterion by Cal Peyser et al
05-22-2020	End-to-end Named Entity Recognition from English Speech by Hemant Yadav et al
05-22-2020	Classification and Clustering of arXiv Documents, Sections, and Abstracts, Comparing Encodings of Natural and Mathematical Language by Philipp Scharpf et al
05-22-2020	Extreme Learning and Regression for Objects Moving in Non-Stationary Spatial Environments by Ansgar Steland
05-21-2020	Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning by Michelle A. Lee et al
05-20-2020	Riemannian geometry for Compound Gaussian distributions: application to recursive change detection by Florent Bouchard et al
05-21-2020	Revisiting Membership Inference Under Realistic Assumptions by Bargav Jayaraman et al
05-21-2020	rTop-k: A Statistical Estimation Approach to Distributed SGD by Leighton Pate Barnes et al
05-19-2020	Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection by Rituparna Sarkar et al
05-19-2020	On the Theoretical Properties of Exchange Algorithm by Guanyang Wang
05-22-2020	Neural Bipartite Matching by Dobrik Georgiev et al
05-19-2020	Deep learning classification of chest x-ray images by Mohammad S. Majdi et al
05-19-2020	Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering by Chong Peng et al
05-22-2020	Tractometry-based Anomaly Detection for Single-subject White Matter Analysis by Maxime Chamberland et al
05-21-2020	CHEER: Rich Model Helps Poor Model via Knowledge Infusion by Cao Xiao et al
05-21-2020	Correlated Mixed Membership Modeling of Somatic Mutations by Rahul Mehta et al
05-19-2020	One Size Fits All: Can We Train One Denoiser for All Noise Levels? by Abhiram Gnansambandam et al
05-21-2020	Automatic Detection of Influential Actors in Disinformation Networks by Steven T. Smith et al
05-19-2020	Self-Updating Models with Error Remediation by Justin E. Doak et al
05-20-2020	Representation of Developer Expertise in Open Source Software by Tapajit Dey et al
05-20-2020	DisCoveR: Accurate & Efficient Discovery of Declarative Process Models by Christoffer Olling Back et al
05-19-2020	Greedy Algorithm almost Dominates in Smoothed Contextual Bandits by Manish Raghavan et al
05-20-2020	Federated Deep Learning Framework For Hybrid Beamforming in mm-Wave Massive MIMO by Ahmet M. Elbir et al
05-19-2020	CSNE: Conditional Signed Network Embedding by Alexandru Mara et al
05-21-2020	TASO: Time and Space Optimization for Memory-Constrained DNN Inference by Yuan Wen et al
05-20-2020	Beyond the storage capacity: data driven satisfiability transition by Pietro Rotondo et al
05-19-2020	Acoustic Echo Cancellation by Combining Adaptive Digital Filter and Recurrent Neural Network by Lu Ma et al
05-19-2020	An optimal transport approach to data compression in distributionally robust control by Filippo Fabiani et al
05-22-2020	Epidemiologically and Socio-economically Optimal Policies via Bayesian Optimization by Amit Chandak et al
05-22-2020	A machine learning based software pipeline to pick the variable ordering for algorithms with polynomial inputs by Dorian Florescu et al
05-19-2020	Addressing Class-Imbalance Problem in Personalized Ranking by Lu Yu et al
05-21-2020	A Group-Theoretic Framework for Knowledge Graph Embedding by Tong Yang et al
05-20-2020	TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids by Igor Fedorov et al
05-19-2020	Competitive Wakeup Scheme for Distributed Devices by Lu Ma et al
05-22-2020	On compression rate of quantum autoencoders: Control design, numerical and experimental realization by Hailan Ma et al
05-20-2020	Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks by Haotian Liu et al
05-19-2020	Should we hard-code the recurrence concept or learn it instead ? Exploring the Transformer architecture for Audio-Visual Speech Recognition by George Sterpu et al
05-19-2020	Pre-print: Radio Identity Verification-based IoT Security Using RF-DNA Fingerprints and SVM by Donald Reising et al
05-22-2020	Model Evidence with Fast Tree Based Quadrature by Thomas Foster et al
05-22-2020	Machine Learning in the Internet of Things for Industry 4.0 by Tomasz Szydlo et al
05-21-2020	Hyperspectral Unmixing Network Inspired by Unfolding an Optimization Problem by Chao Zhou
05-19-2020	k-sums: another side of k-means by Wan-Lei Zhao et al
05-19-2020	Neural ODEs for Informative Missingness in Multivariate Time Series by Mansura Habiba et al
05-19-2020	Learning to rank via combining representations by Hayden S. Helm et al
05-19-2020	In-memory Implementation of On-chip Trainable and Scalable ANN for AI/ML Applications by Abhash Kumar et al
05-19-2020	Enhancing Certified Robustness of Smoothed Classifiers via Weighted Model Ensembling by Chizhou Liu et al
05-19-2020	A Lite Microphone Array Beamforming Scheme with Maximum Signal-to-Noise Ratio Filter by Lu Ma et al
05-21-2020	Global Multiclass Classification from Heterogeneous Local Models by Surin Ahn et al
05-21-2020	Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning by Xiangxiang Zeng et al