2020.6.8 Learning papers

06-03-2020	A mathematical model for automatic differentiation in machine learning by Jerome Bolte et al
06-02-2020	Countering hate on social media: Large scale classification of hate and counter speech by Joshua Garland et al
06-02-2020	Detecting and Understanding Real-World Differential Performance Bugs in Machine Learning Libraries by Saeid Tizpaz-Niari et al
06-04-2020	Stochastic Graph Neural Networks by Zhan Gao et al
06-02-2020	Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography by Tatiana A. Bubba et al
06-03-2020	Graphical Normalizing Flows by Antoine Wehenkel et al
06-02-2020	Neural Control Variates by Thomas Müller et al
06-02-2020	Surprisal-Triggered Conditional Computation with Neural Networks by Loren Lugosch et al
06-03-2020	Image Augmentations for GAN Training by Zhengli Zhao et al
06-02-2020	CNNs on Surfaces using Rotation-Equivariant Features by Ruben Wiersma et al
06-04-2020	MLE-guided parameter search for task loss minimization in neural sequence modeling by Sean Welleck et al
06-03-2020	A Distributed Trust Framework for Privacy-Preserving Machine Learning by Will Abramson et al
06-03-2020	Equivariant Flows: exact likelihood generative learning for symmetric densities by Jonas Köhler et al
06-02-2020	Learning Opinion Dynamics From Social Traces by Corrado Monti et al
06-03-2020	Shallow Neural Hawkes: Non-parametric kernel estimation for Hawkes processes by Sobin Joseph et al
06-02-2020	Automatic Text Summarization of COVID-19 Medical Research Articles using BERT and GPT-2 by Virapat Kieuvongngam et al
06-02-2020	Convergence and Stability of Graph Convolutional Networks on Large Random Graphs by Nicolas Keriven et al
06-02-2020	Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining by Yiqun Mei et al
06-02-2020	Experimental demonstration of a quantum generative adversarial network for continuous distributions by Abhinav Anand et al
06-02-2020	Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings by Vaibhav Kumar et al
06-03-2020	Assessing Intelligence in Artificial Neural Networks by Nicholas J. Schaub et al
06-05-2020	Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End by Abdelrahman Eldesokey et al
06-03-2020	Anomaly Detection with Tensor Networks by Jinhui Wang et al
06-03-2020	A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning by Sameer Khurana et al
06-04-2020	Seq2Seq AI Chatbot with Attention Mechanism by Abonia Sojasingarayar
06-03-2020	R\{e}nyi Generative Adversarial Networks by Himesh Bhatia et al
06-02-2020	Accurate Face Rig Approximation with Deep Differential Subspace Reconstruction by Steven L. Song et al
06-02-2020	Open-Set Recognition with Gaussian Mixture Variational Autoencoders by Alexander Cao et al
06-02-2020	DeepCoDA: personalized interpretability for compositional health by Thomas P. Quinn et al
06-03-2020	Explaining The Behavior Of Black-Box Prediction Algorithms With Causal Learning by Numair Sani et al
06-03-2020	DFR-TSD: A Deep Learning Based Framework for Robust Traffic Sign Detection Under Challenging Weather Conditions by Sabbir Ahmed et al
06-05-2020	Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing by Zihang Dai et al
06-03-2020	FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function by Xiaoliang Dai et al
06-03-2020	The Importance of Prior Knowledge in Precise Multimodal Prediction by Sergio Casas et al
06-03-2020	Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images by Soumick Chatterjee et al
06-02-2020	Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning by Helen Zhou et al
06-04-2020	Experiments on Paraphrase Identification Using Quora Question Pairs Dataset by Andreas Chandra et al
06-02-2020	WikiBERT models: deep transfer learning for many languages by Sampo Pyysalo et al
06-04-2020	Uncertainty quantification in medical image segmentation with Normalizing Flows by Raghavendra Selvan et al
06-03-2020	CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning by Alessandro Suglia et al
06-03-2020	Debiased Sinkhorn barycenters by Hicham Janati et al
06-03-2020	XGNN: Towards Model-Level Explanations of Graph Neural Networks by Hao Yuan et al
06-03-2020	A Scalable and Cloud-Native Hyperparameter Tuning System by Johnu George et al
06-04-2020	Using Self-Training to Improve Back-Translation in Low Resource Neural Machine Translation by Idris Abdulmumin et al
06-02-2020	Whats Sex Got To Do With Fair Machine Learning? by Lily Hu et al
06-03-2020	Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning by Aditya Sanghi
06-04-2020	Some Theoretical Insights into Wasserstein GANs by Gérard Biau et al
06-02-2020	Perturbation Analysis of Gradient-based Adversarial Attacks by Utku Ozbulak et al
06-03-2020	Meta Dialogue Policy Learning by Yumo Xu et al
06-03-2020	Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules by Michele Fraccaroli et al
06-04-2020	CSTNet: Contrastive Speech Translation Network for Self-Supervised Speech Representation Learning by Sameer Khurana et al
06-02-2020	Detection of gravitational-wave signals from binary neutron star mergers using machine learning by Marlin B. Schäfer et al
06-05-2020	Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers by Krzysztof Choromanski et al
06-02-2020	Norm-Based Curriculum Learning for Neural Machine Translation by Xuebo Liu et al
06-02-2020	Committee neural network potentials control generalization errors and enable active learning by Christoph Schran et al
06-04-2020	A Siamese Neural Network with Modified Distance Loss For Transfer Learning in Speech Emotion Recognition by Kexin Feng et al
06-05-2020	Sponge Examples: Energy-Latency Attacks on Neural Networks by Ilia Shumailov et al
06-04-2020	The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain by Annemarie Friedrich et al
06-02-2020	PILArNet: Public Dataset for Particle Imaging Liquid Argon Detectors in High Energy Physics by Corey Adams et al
06-03-2020	Meta-Model-Based Meta-Policy Optimization by Takuya Hiraoka et al
06-03-2020	SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence by Sinho Chewi et al
06-03-2020	Phasic dopamine release identification using ensemble of AlexNet by Luca Patarnello et al
06-04-2020	Response to LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts by Hao Wu et al
06-03-2020	Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains by James Bannon et al
06-02-2020	Geometric Graph Representations and Geometric Graph Convolutions for Deep Learning on Three-Dimensional (3D) Graphs by Daniel T. Chang
06-03-2020	Online mirror descent and dual averaging: keeping pace in the dynamic case by Huang Fang et al
06-03-2020	GFPNet: A Deep Network for Learning Shape Completion in Generic Fitted Primitives by Tiberiu Cocias et al
06-04-2020	Discovering Parametric Activation Functions by Garrett Bingham et al
06-03-2020	Serving DNNs like Clockwork: Performance Predictability from the Bottom Up by Arpan Gujarati et al
06-02-2020	Bayesian Neural Networks by Tom Charnock et al
06-02-2020	NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces by Miguel Jaques et al
06-04-2020	Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning by Dieqiao Feng et al
06-05-2020	CoCon: A Self-Supervised Approach for Controlled Text Generation by Alvin Chan et al
06-02-2020	MultiNet: Multiclass Multistage Multimodal Motion Prediction by Nemanja Djuric et al
06-02-2020	Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration by Seungyul Han et al
06-02-2020	Learning to Branch for Multi-Task Learning by Pengsheng Guo et al
06-02-2020	Situated and Interactive Multimodal Conversations by Seungwhan Moon et al
06-03-2020	Approximation and convergence of GANs training: an SDE approach by Haoyang Cao et al
06-03-2020	Multi-Agent Cross-Translated Diversification for Unsupervised Machine Translation by Xuan-Phi Nguyen et al
06-03-2020	Learning Multi-Modal Nonlinear Embeddings: Performance Bounds and an Algorithm by Semih Kaya et al
06-02-2020	Shapley Value as Principled Metric for Structured Network Pruning by Marco Ancona et al
06-04-2020	Refined Continuous Control of DDPG Actors via Parametrised Activation by Mohammed Hossny et al
06-02-2020	The Convolution Exponential and Generalized Sylvester Flows by Emiel Hoogeboom et al
06-03-2020	Bayesian optimization for modular black-box systems with switching costs by Chi-Heng Lin et al
06-02-2020	Offline and Online Satisfaction Prediction in Open-Domain Conversational Systems by Jason Ingyu Choi et al
06-03-2020	Learning across label confidence distributions using Filtered Transfer Learning by Seyed Ali Madani Tonekaboni et al
06-02-2020	Learning optimal environments using projected stochastic gradient ascent by Adrien Bolland et al
06-05-2020	Learning to Rank Learning Curves by Martin Wistuba et al
06-05-2020	Sentiment Analysis Based on Deep Learning: A Comparative Study by Nhan Cach Dang et al
06-02-2020	Exploring the role of Input and Output Layers of a Deep Neural Network in Adversarial Defense by Jay N. Paranjape et al
06-05-2020	Scalable Plug-and-Play ADMM with Convergence Guarantees by Yu Sun et al
06-05-2020	Population-Based Black-Box Optimization for Biological Sequence Design by Christof Angermueller et al
06-04-2020	Hardness of Learning Neural Networks with Natural Weights by Amit Daniely et al
06-04-2020	Black-box Explanation of Object Detectors via Saliency Maps by Vitali Petsiuk et al
06-03-2020	Flexible Bayesian Modelling for Nonlinear Image Registration by Mikael Brudfors et al
06-02-2020	Continual Learning of Predictive Models in Video Sequences via Variational Autoencoders by Damian Campo et al
06-03-2020	Hierarchical forecast reconciliation with machine learning by Evangelos Spiliotis et al
06-05-2020	Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus by Xingyi Song et al
06-02-2020	AnalogNet: Convolutional Neural Network Inference on Analog Focal Plane Sensor Processors by Matthew Z. Wong et al
06-03-2020	Local SGD With a Communication Overhead Depending Only on the Number of Workers by Artin Spiridonoff et al

06-05-2020	Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning by Robert Müller et al
06-05-2020	Biometric Quality: Review and Application to Face Recognition with FaceQnet by Javier Hernandez-Ortega et al
06-03-2020	Wireless Communications for Collaborative Federated Learning in the Internet of Things by Mingzhe Chen et al
06-02-2020	Quantifying the Effects of Prosody Modulation on User Engagement and Satisfaction in Conversational Systems by Jason Ingyu Choi et al
06-05-2020	GMAT: Global Memory Augmentation for Transformers by Ankit Gupta et al
06-02-2020	Online Stochastic Convex Optimization: Wasserstein Distance Variation by Iman Shames et al
06-04-2020	Robust Sampling in Deep Learning by Aurora Cobo Aguilera et al
06-04-2020	Analogical Proportions by Christian Antić
06-02-2020	An efficient manifold density estimator for all recommendation systems by Jacek Dąbrowski et al
06-04-2020	Characterizing the Weight Space for Different Learning Models by Saurav Musunuru et al
06-05-2020	Continuous Transfer Learning with Label-informed Distribution Alignment by Jun Wu et al
06-05-2020	Curiosity Killed the Cat and the Asymptotically Optimal Agent by Michael K. Cohen et al
06-04-2020	Partitioned Learned Bloom Filter by Kapil Vaidya et al
06-04-2020	Sparsity in Reservoir Computing Neural Networks by Claudio Gallicchio
06-04-2020	The Impact of COVID-19 on Flight Networks by Toyotaro Suzumura et al
06-04-2020	Overcoming Overfitting and Large Weight Update Problem in Linear Rectifiers: Thresholded Exponential Rectified Linear Units by Vijay Pandey
06-05-2020	Structure preserving deep learning by Elena Celledoni et al
06-05-2020	PLANS: Robust Program Learning from Neurally Inferred Specifications by Raphaël Dang-Nhu
06-05-2020	Logical Team Q-learning: An approach towards factored policies in cooperative MARL by Lucas Cassano et al
06-02-2020	Variational Inference and Learning of Piecewise-linear Dynamical Systems by Xavier Alameda-Pineda et al
06-03-2020	The Value-Improvement Path: Towards Better Representations for Reinforcement Learning by Will Dabney et al
06-02-2020	A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables by Maximilian Rixner et al
06-05-2020	VALUE: Large Scale Voting-based Automatic Labelling for Urban Environments by Giacomo Dabisias et al
06-02-2020	Object-Independent Human-to-Robot Handovers using Real Time Robotic Vision by Patrick Rosenberger et al
06-02-2020	Studying The Effect of MIL Pooling Filters on MIL Tasks by Mustafa Umit Oner et al
06-04-2020	LSTM-based Anomaly Detection for Non-linear Dynamical System by Yue Tan et al
06-04-2020	Scene Image Representation by Foreground, Background and Hybrid Features by Chiranjibi Sitaula et al
06-03-2020	Data-driven Identification of Number of Unreported Cases for COVID-19: Bounds and Limitations by Ajitesh Srivastava et al
06-03-2020	ExKMC: Expanding Explainable kk-Means Clustering by Nave Frost et al
06-04-2020	Fast Unbalanced Optimal Transport on Tree by Ryoma Sato et al
06-02-2020	Feature-weighted elastic net: using features of features for better prediction by J. Kenneth Tay et al
06-05-2020	Convolutional Neural Networks for Global Human Settlements Mapping from Sentinel-2 Satellite Imagery by Christina Corbane et al
06-04-2020	Content and Context Features for Scene Image Representation by Chiranjibi Sitaula et al
06-02-2020	Enhanced Universal Dependency Parsing with Second-Order Inference and Mixture of Training Data by Xinyu Wang et al
06-04-2020	Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation by AbdElRahman ElSaid et al
06-05-2020	XAI for Graphs: Explaining Graph Neural Network Predictions by Identifying Relevant Walks by Thomas Schnake et al
06-03-2020	Double Generative Adversarial Networks for Conditional Independence Testing by Chengchun Shi et al
06-04-2020	Unsupervised clustering of Roman pottery profiles from their SSAE representation by Simone Parisotto et al
06-03-2020	An optimizable scalar objective value cannot be objective and should not be the sole objective by Isabel Kloumann et al
06-02-2020	Consistent Estimators for Learning to Defer to an Expert by Hussein Mozannar et al
06-05-2020	Extracting Spatiotemporal Demand for Public Transit from Mobility Data by Trivik Verma et al
06-04-2020	Weight Pruning via Adaptive Sparsity Loss by George Retsinas et al
06-02-2020	SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization by A. F. M. Shahab Uddin et al
06-05-2020	Multi-modal Feature Fusion with Feature Attention for VATEX Captioning Challenge 2020 by Ke Lin et al
06-05-2020	Triple descent and the two kinds of overfitting: Where & why do they appear? by Stéphane d'Ascoli et al
06-04-2020	MHVAE: a Human-Inspired Deep Hierarchical Generative Model for Multimodal Representation Learning by Miguel Vasco et al
06-02-2020	Designing Differentially Private Estimators in High Dimensions by Aditya Dhar et al
06-05-2020	Adversarial Image Generation and Training for Deep Convolutional Neural Networks by Ronghua Shi et al
06-04-2020	Differentiable Linear Bandit Algorithm by Kaige Yang et al
06-04-2020	SIDU: Similarity Difference and Uniqueness Method for Explainable AI by Satya M. Muddamsetty et al
06-05-2020	UVeQFed: Universal Vector Quantization for Federated Learning by Nir Shlezinger et al
06-03-2020	Earnings Prediction with Deep Leaning by Lars Elend et al
06-05-2020	Segmentation of Surgical Instruments for Minimally-Invasive Robot-Assisted Procedures Using Generative Deep Neural Networks by Iñigo Azqueta-Gavaldon et al
06-03-2020	Plots of the cumulative differences between observed and expected values of ordered Bernoulli variates by Mark Tygert
06-04-2020	Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference by Haichen Shen et al
06-03-2020	Non-Euclidean Universal Approximation by Anastasis Kratsios et al
06-02-2020	Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions by Kaito Fujii
06-05-2020	Inference from Stationary Time Sequences via Learned Factor Graphs by Nir Shlezinger et al
06-04-2020	CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks by Gašper Beguš
06-02-2020	Aligning Superhuman AI and Human Behavior: Chess as a Model System by Reid McIlroy-Young et al

06-03-2020	Communication-Computation Trade-Off in Resource-Constrained Edge Inference by Jiawei Shao et al
06-04-2020	Pick-Object-Attack: Type-Specific Adversarial Attack for Object Detection by Omid Mohamad Nezami et al
06-02-2020	Construction of Support Vector Machine Feature Spaces via Deformed Weyl-Heisenberg Algebra by Shahram Dehdashti et al
06-04-2020	A Polynomial Neural network with Controllable Precision and Human-Readable Topology II: Accelerated Approach Based on Expanded Layer by Gang Liu et al
06-04-2020	Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks by Jinseok Kim et al
06-02-2020	Detecting Audio Attacks on ASR Systems with Dropout Uncertainty by Tejas Jayashankar et al
06-05-2020	Aspect-based Sentiment Analysis of Scientific Reviews by Souvic Chakraborty et al
06-04-2020	Towards Understanding Fast Adversarial Training by Bai Li et al
06-05-2020	Concurrent Decentralized Channel Allocation and Access Point Selection using Multi-Armed Bandits in multi BSS WLANs by Álvaro López-Raventós et al
06-04-2020	Sample Efficient Graph-Based Optimization with Noisy Observations by Tan Nguyen et al
06-03-2020	Generalized Penalty for Circular Coordinate Representation by Hengrui Luo et al
06-02-2020	Variational Mutual Information Maximization Framework for VAE Latent Codes with Continuous and Discrete Priors by Andriy Serdega et al
06-03-2020	Interferobot: aligning an optical interferometer by a reinforcement learning agent by Dmitry Sorokin et al
06-03-2020	dynoNet: a neural network architecture for learning dynamical systems by Marco Forgione et al
06-03-2020	RODE-Net: Learning Ordinary Differential Equations with Randomness from Data by Junyu Liu et al
06-04-2020	Scaling Distributed Training with Adaptive Summation by Saeed Maleki et al
06-04-2020	Tensor Completion Made Practical by Allen Liu et al
06-04-2020	Sentence Compression as Deletion with Contextual Embeddings by Minh-Tien Nguyen et al
06-03-2020	Spectral convergence of diffusion maps: improved error bounds and an alternative normalisation by Caroline L. Wormell et al
06-02-2020	Interpretable Time-series Classification on Few-shot Samples by Wensi Tang et al
06-03-2020	Space-time deep neural network approximations for high-dimensional partial differential equations by Fabian Hornung et al
06-04-2020	Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems by Joao Paulo Jansch-Porto et al
06-04-2020	Optimization and passive flow control using single-step deep reinforcement learning by H. Ghraieb et al
06-04-2020	Constrained Reinforcement Learning for Dynamic Optimization under Uncertainty by Panagiotis Petsagkourakis et al
06-04-2020	A Novel Update Mechanism for Q-Networks Based On Extreme Learning Machines by Callum Wilson et al
06-03-2020	On the Promise of the Stochastic Generalized Gauss-Newton Method for Training DNNs by Matilde Gargiani et al
06-02-2020	Light-in-the-loop: using a photonics co-processor for scalable training of neural networks by Julien Launay et al
06-04-2020	Inject Machine Learning into Significance Test for Misspecified Linear Models by Jiaye Teng et al
06-04-2020	Hierarchical Optimal Transport for Robust Multi-View Learning by Dixin Luo et al
06-05-2020	Spoken dialect identification in Twitter using a multi-filter architecture by Mohammadreza Banaei et al
06-03-2020	Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces by Shicong Liu et al
06-05-2020	End-to-End Adversarial Text-to-Speech by Jeff Donahue et al
06-03-2020	Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging by Ziju Shen et al
06-02-2020	Event Arguments Extraction via Dilate Gated Convolutional Neural Network with Enhanced Local Features by Zhigang Kan et al
06-03-2020	Integrating Machine Learning with Physics-Based Modeling by Weinan E et al
06-03-2020	Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits by Avishek Ghosh et al
06-04-2020	Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment by Sharon Levy et al
06-04-2020	Hidden Markov models are recurrent neural networks: A disease progression modeling application by Matt Baucum et al
06-04-2020	Rates of Convergence for Laplacian Semi-Supervised Learning with Low Labeling Rates by Jeff Calder et al
06-02-2020	Temporally-Extended {\epsilon}-Greedy Exploration by Will Dabney et al
06-04-2020	Network size and weights size for memorization with two-layers neural networks by Sébastien Bubeck et al
06-05-2020	Daydream: Accurately Estimating the Efficacy of Optimizations for DNN Training by Hongyu Zhu et al
06-03-2020	Variational Quantum Singular Value Decomposition by Xin Wang et al
06-03-2020	Near-Tight Margin-Based Generalization Bounds for Support Vector Machines by Allan Grønlund et al
06-04-2020	Human or Machine: Automating Human Likeliness Evaluation of NLG Texts by Erion Çano et al
06-02-2020	Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization by Quentin Cappart et al
06-05-2020	Principled Learning Method for Wasserstein Distributionally Robust Optimization with Local Perturbations by Yongchan Kwon et al
06-03-2020	Hybrid Scheme of Kinematic Analysis and Lagrangian Koopman Operator Analysis for Short-term Precipitation Forecasting by Shitao Zheng et al
06-04-2020	Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction by Gen Li et al
06-05-2020	Generation of Differentially Private Heterogeneous Electronic Health Records by Kieran Chin-Cheong et al
06-03-2020	Non-Stationary Bandits with Intermediate Observations by Claire Vernade et al
06-04-2020	Towards Lower Bit Multiplication for Convolutional Neural Network Training by Kai Zhong et al
06-03-2020	SimPool: Towards Topology Based Graph Pooling with Structural Similarity Features by Yaniv Shulman
06-05-2020	Think out of the package: Recommending package types for e-commerce shipments by Karthik S. Gurumoorthy et al
06-05-2020	Parallel ensemble methods for causal direction inference by Yulai Zhang et al
06-05-2020	Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration by Ming Zhang et al
06-03-2020	Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE by Juntang Zhuang et al
06-02-2020	Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization by Mayumi Ohta et al
06-02-2020	Learning with CVaR-based feedback under potentially heavy tails by Matthew J. Holland et al
06-04-2020	Contextual RNN-T For Open Domain ASR by Mahaveer Jain et al
06-02-2020	Age-Based Coded Computation for Bias Reduction in Distributed Learning by Emre Ozfatura et al
06-02-2020	A combinatorial conjecture from PAC-Bayesian machine learning by M. Younsi et al
06-03-2020	On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression by Jeongyeol Kwon et al
06-04-2020	Quadruply Stochastic Gaussian Processes by Trefor W. Evans et al
06-05-2020	Audio Captioning using Gated Recurrent Units by Ayşegül Özkaya Eren et al
06-03-2020	Learning Robust Decision Policies from Observational Data by Muhammad Osama et al
06-04-2020	Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning by Haibin Wu et al
06-05-2020	Graphon Neural Networks and the Transferability of Graph Neural Networks by Luana Ruiz et al
06-02-2020	Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models by Jwala Dhamala et al
06-02-2020	Meta Learning as Bayes Risk Minimization by Shin-ichi Maeda et al
06-04-2020	Towards Asymptotic Optimality with Conditioned Stochastic Gradient Descent by Rémi Leluc et al
06-04-2020	The effects of algorithmic flagging on fairness: quasi-experimental evidence from Wikipedia by Nathan TeBlunthuis et al
06-02-2020	Careful analysis of XRD patterns with Attention by Koichi Kano et al
06-03-2020	Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations by Glen Chou et al

06-05-2020	Learning Multiclass Classifier Under Noisy Bandit Feedback by Mudit Agarwal et al
06-04-2020	Auto-decoding Graphs by Sohil Atul Shah et al
06-04-2020	Federated Learning for 6G Communications: Challenges, Methods, and Future Directions by Yi Liu et al
06-04-2020	A Linear Algebraic Approach to Model Parallelism in Deep Learning by Russell J. Hewett et al
06-02-2020	Cross-Domain Imitation Learning with a Dual Structure by Sungho Choi et al
06-02-2020	Recht-R\e Noncommutative Arithmetic-Geometric Mean Conjecture is False by Zehua Lai et al
06-03-2020	A Unified Single-loop Alternating Gradient Projection Algorithm for Nonconvex-Concave and Convex-Nonconcave Minimax Problems by Zi Xu et al
06-02-2020	Multi-Agent Determinantal Q-Learning by Yaodong Yang et al
06-05-2020	Entropy-Regularized 22-Wasserstein Distance between Gaussian Measures by Anton Mallasto et al
06-05-2020	Reliable Covariance Estimation by Ilya Soloveychik
06-03-2020	Continuous-time system identification with neural networks: model structures and fitting criteria by Marco Forgione et al
06-04-2020	Evaluating Text Coherence at Sentence and Paragraph Levels by Sennan Liu et al
06-02-2020	Modelling of daily reference evapotranspiration using deep neural network in different climates by Atilla Özgür et al
06-05-2020	Anomaly detection on streamed data by Thomas Cochrane et al
06-03-2020	A review of smartphones based indoor positioning: challenges and applications by Khuong An Nguyen et al
06-04-2020	Learning DAGs without imposing acyclicity by Gherardo Varando
06-02-2020	Modified Hard Thresholding Pursuit with Regularization Assisted Support Identification by Samrat Mukhopadhyay et al
06-02-2020	Identifying Fake Profiles in LinkedIn by Shalinda Adikari et al
06-02-2020	Training End-to-End Analog Neural Networks with Equilibrium Propagation by Jack Kendall et al
06-04-2020	COVID-19 diagnosis by routine blood tests using machine learning by Matjaž Kukar et al
06-05-2020	A conditional one-output likelihood formulation for multitask Gaussian processes by Vanessa Gómez-Verdejo et al
06-02-2020	Generalization Study of Quantum Neural Network by JinZhe Jiang et al
06-02-2020	Toward Optimal Probabilistic Active Learning Using a Bayesian Approach by Daniel Kottke et al
06-05-2020	Providing reliability in Recommender Systems through Bernoulli Matrix Factorization by Fernando Ortega et al
06-03-2020	Learning Kernel Tests Without Data Splitting by Jonas M. Kübler et al
06-02-2020	Unsupervised Discretization by Two-dimensional MDL-based Histogram by Lincen Yang et al
06-05-2020	Tensorized Transformer for Dynamical Systems Modeling by Anna Shalova et al
06-02-2020	Finite Difference Neural Networks: Fast Prediction of Partial Differential Equations by Zheng Shi et al
06-02-2020	On the Equivalence between Online and Private Learnability beyond Binary Classification by Young Hun Jung et al
06-02-2020	Deep learning-based reduced order models in cardiac electrophysiology by Stefania Fresca et al
06-04-2020	Median regression with differential privacy by E Chen et al
06-04-2020	Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks by Alexander Shekhovtsov et al
06-05-2020	Using an interpretable Machine Learning approach to study the drivers of International Migration by Harold Silvère Kiossou et al
06-02-2020	Neural Power Units by Niklas Heim et al
06-02-2020	A modification of quasi-Newtons methods helping to avoid saddle points by Tuyen Trung Truong et al
06-05-2020	Variational Auto-encoder for Recommender Systems with Exploration-Exploitation by Yizi Zhang et al
06-04-2020	Handling missing data in model-based clustering by Alessio Serafini et al
06-04-2020	Fuzzy c-Means Clustering for Persistence Diagrams by Thomas O. M. Davies et al
06-04-2020	Attention and Encoder-Decoder based models for transforming articulatory movements at different speaking rates by Abhayjeet Singh et al
06-04-2020	Low-Rank Generalized Linear Bandit Problems by Yangyi Lu et al
06-02-2020	Identification of hydrodynamic instability by convolutional neural networks by Wuyue Yang et al
06-02-2020	Sparse Cholesky covariance parametrization for recovering latent structure in ordered data by Irene Córdoba et al
06-02-2020	An Informal Introduction to Multiplet Neural Networks by Nathan E. Frick
06-02-2020	Acceleration of Descent-based Optimization Algorithms via Carath\eodorys Theorem by Francesco Cosentino et al
06-02-2020	Explaining the distribution of energy consumption at slow charging infrastructure for electric vehicles from socio-economic data by Milan Straka et al
06-04-2020	Embedding Directed Graphs in Potential Fields Using FastMap-D by Sriram Gopalakrishnan et al
06-05-2020	Sparsified Linear Programming for Zero-Sum Equilibrium Finding by Brian Hu Zhang et al
06-02-2020	Performance metrics for intervention-triggering prediction models do not reflect an expected reduction in outcomes from using the model by Alejandro Schuler et al
06-02-2020	A Randomized Algorithm to Reduce the Support of Discrete Measures by Francesco Cosentino et al
06-02-2020	Federated Learning for Vehicular Networks by Ahmet M. Elbir et al
06-05-2020	Utilizing machine learning to prevent water main breaks by understanding pipeline failure drivers by Dilusha Weeraddana et al
06-05-2020	The Expected Jacobian Outerproduct: Theory and Empirics by Shubhendu Trivedi et al
06-02-2020	Good pivots for small sparse matrices by Manuel Kauers et al
06-04-2020	Visual Transfer for Reinforcement Learning via Wasserstein Domain Confusion by Josh Roy et al
06-02-2020	A generalized linear joint trained framework for semi-supervised leaning of sparse features by Juan C. Laria et al
06-02-2020	Interpretable Meta-Measure for Model Performance by Alicja Gosiewska et al
06-02-2020	Inductive Geometric Matrix Midranges by Graham W. Van Goffrier et al
06-02-2020	A Smart Background Scheduler for Storage Systems by Maher Kachmar et al
06-02-2020	Data-driven learning of non-autonomous systems by Tong Qin et al
06-05-2020	Bayesian Sparse Covariance Structure Analysis for Correlated Count Data by Sho Ichigozaki et al
06-05-2020	Prediction with directed transitions: complex eigenstructure, grid cells and phase coding by Changmin Yu et al
06-02-2020	Deep Receiver Design for Multi-carrier Waveforms Using CNNs by Yasin Yildirim et al
06-02-2020	Secure Sum Outperforms Homomorphic Encryption in (Current) Collaborative Deep Learning by Derian Boer et al
06-02-2020	SearchFromFree: Adversarial Measurements for Machine Learning-based Energy Theft Detection by Jiangnan Li et al