2020.6.15 Learning papers

06-09-2020	Pruning neural networks without any data by iteratively conserving synaptic flow by Hidenori Tanaka et al
06-10-2020	DivNoising: Diversity Denoising with Fully Convolutional Variational Autoencoders by Mangal Prakash et al
06-09-2020	A bio-inspired bistable recurrent cell allows for long-lasting memory by Nicolas Vecoven et al
06-10-2020	Revisiting Few-sample BERT Fine-tuning by Tianyi Zhang et al
06-10-2020	What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study by Marcin Andrychowicz et al
06-11-2020	Deep Learning for Stable Monotone Dynamical Systems by Yu Wang et al
06-11-2020	XiaoiceSing: A High-Quality and Integrated Singing Voice Synthesis System by Peiling Lu et al
06-11-2020	A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning by Sijia Liu et al
06-11-2020	Pointer Graph Networks by Petar Veličković et al
06-11-2020	Deep Structural Causal Models for Tractable Counterfactual Inference by Nick Pawlowski et al
06-11-2020	Rethinking the Truly Unsupervised Image-to-Image Translation by Kyungjune Baek et al
06-10-2020	Self-Supervised Relational Reasoning for Representation Learning by Massimiliano Patacchiola et al
06-11-2020	SECure: A Social and Environmental Certificate for AI Systems by Abhishek Gupta et al
06-11-2020	Deep Differential System Stability -- Learning advanced computations from examples by François Charton et al
06-09-2020	Wavelet Networks: Scale Equivariant Learning From Raw Waveforms by David W. Romero et al
06-10-2020	Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty by Miguel Monteiro et al
06-09-2020	Variational Auto-Regressive Gaussian Processes for Continual Learning by Sanyam Kapoor et al
06-10-2020	Dance Revolution: Long Sequence Dance Generation with Music via Curriculum Learning by Ruozi Huang et al
06-10-2020	Learning normalizing flows from Entropy-Kantorovich potentials by Chris Finlay et al
06-11-2020	Disentangled Non-Local Neural Networks by Minghao Yin et al
06-10-2020	Deterministic Gaussian Averaged Neural Networks by Ryan Campbell et al
06-10-2020	Fair Data Integration by Sainyam Galhotra et al
06-11-2020	A Deep Learning Framework for Recognizing both Static and Dynamic Gestures by Osama Mazhar et al
06-11-2020	Large-Scale Adversarial Training for Vision-and-Language Representation Learning by Zhe Gan et al
06-10-2020	Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification by Francesca Mignacco et al
06-10-2020	Affective Movement Generation using Laban Effort and Shape and Hidden Markov Models by Ali Samadani et al
06-11-2020	Similarity-based Classification: Connecting Similarity Learning to Binary Classification by Han Bao et al
06-12-2020	Are we done with ImageNet? by Lucas Beyer et al
06-11-2020	Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning by Qing Li et al
06-11-2020	JIT-Masker: Efficient Online Distillation for Background Matting by Jo Chuang et al
06-11-2020	Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge by Alon Talmor et al
06-09-2020	Super-resolution Variational Auto-Encoders by Ioannis Gatopoulos et al
06-11-2020	Neural Ordinary Differential Equations on Manifolds by Luca Falorsi et al
06-11-2020	CoinPress: Practical Private Mean and Covariance Estimation by Sourav Biswas et al
06-11-2020	Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks by Nataniel Ruiz et al
06-10-2020	On Noise Injection in Generative Adversarial Networks by Ruili Feng et al
06-11-2020	Interpretable Visualizations with Differentiating Embedding Networks by Isaac Robinson
06-11-2020	Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (or : How to Prove Kabashimas Replica Formula) by Cedric Gerbelot et al
06-11-2020	TensorFlow with user friendly Graphical Framework for object detection API by Heemoon Yoon et al
06-11-2020	Real-Time Video Inference on Edge Devices via Adaptive Model Streaming by Mehrdad Khani et al
06-10-2020	Joint Training of Variational Auto-Encoder and Latent Energy-Based Model by Tian Han et al
06-10-2020	Self-Supervised Reinforcement Learning for Recommender Systems by Xin Xin et al
06-11-2020	Surveys without Questions: A Reinforcement Learning Approach by Atanu R Sinha et al
06-10-2020	Kalman Filter Based Multiple Person Head Tracking by Mohib Ullah et al
06-11-2020	Interpreting CNN for Low Complexity Learned Sub-pixel Motion Compensation in Video Coding by Luka Murn et al
06-09-2020	AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation by Jae Hyun Lim et al
06-09-2020	Optimal Continual Learning has Perfect Memory and is NP-hard by Jeremias Knoblauch et al
06-09-2020	Human brain activity for machine attention by Lukas Muttenthaler et al
06-10-2020	Delta Descriptors: Change-Based Place Representation for Robust Visual Localization by Sourav Garg et al
06-11-2020	Convolutional neural networks compression with low rank and sparse tensor decompositions by Pavel Kaloshin
06-09-2020	A t-distribution based operator for enhancing out of distribution robustness of neural network classifiers by Niccolò Antonello et al
06-11-2020	An Edge Information and Mask Shrinking Based Image Inpainting Approach by Huali Xu et al
06-11-2020	W-net: Simultaneous segmentation of multi-anatomical retinal structures using a multi-task deep neural network by Hongwei Zhao et al
06-12-2020	Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis by Ye Yuan et al
06-11-2020	Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France by Paul Boniol et al
06-11-2020	CoMIR: Contrastive Multimodal Image Representation for Registration by Nicolas Pielawski et al
06-10-2020	Robust Detection of Adaptive Spammers by Nash Reinforcement Learning by Yingtong Dou et al
06-09-2020	Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges by Edgar Galván et al
06-10-2020	Image Deconvolution via Noise-Tolerant Self-Supervised Inversion by Hirofumi Kobayashi et al
06-09-2020	ConfNet2Seq: Full Length Answer Generation from Spoken Questions by Vaishali Pal et al
06-11-2020	Hypernetwork-Based Augmentation by Chih-Yang Chen et al
06-11-2020	Quasi-Dense Instance Similarity Learning by Jiangmiao Pang et al
06-10-2020	Continual Learning for Affective Computing by Nikhil Churamani
06-10-2020	All Local Minima are Global for Two-Layer ReLU Neural Networks: The Hidden Convex Optimization Landscape by Jonathan Lacotte et al
06-10-2020	Scalable Partial Explainability in Neural Networks via Flexible Activation Functions by Schyler C. Sun et al
06-10-2020	HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks by Jiaqi Su et al
06-11-2020	Spectral Image Segmentation with Global Appearance Modeling by Jeova F. S. Rocha Neto et al
06-09-2020	Neural Physicist: Learning Physical Dynamics from Image Sequences by Baocheng Zhu et al
06-11-2020	A Primer on Large Intelligent Surface (LIS) for Wireless Sensing in an Industrial Setting by Cristian J. Vaca-Rubio et al
06-09-2020	Exploring Quality and Generalizability in Parameterized Neural Audio Effects by William Mitchell et al
06-09-2020	CRISP: A Probabilistic Model for Individual-Level COVID-19 Infection Risk Estimation Based on Contact Data by Ralf Herbrich et al
06-10-2020	ClarQ: A large-scale and diverse dataset for Clarification Question Generation by Vaibhav Kumar et al
06-12-2020	Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification Tasks by Like Hui et al
06-10-2020	An Artificial Intelligence Solution for Electricity Procurement in Forward Markets by Thibaut Théate et al
06-10-2020	DNS Tunneling: A Deep Learning based Lexicographical Detection Approach by Franco Palau et al
06-09-2020	Predicting and Analyzing Law-Making in Kenya by Oyinlola Babafemi et al
06-11-2020	FastPitch: Parallel Text-to-speech with Pitch Prediction by Adrian Łańcucki
06-12-2020	Deep Reinforcement Learning for Neural Control by Jimin Kim et al
06-10-2020	Binary Classification with Classical Instances and Quantum Labels by Matthias C. Caro
06-10-2020	Implicit Kernel Attention by Kyungwoo Song et al
06-10-2020	On the Maximum Mutual Information Capacity of Neural Architectures by Brandon Foggo et al
06-09-2020	Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image by Danny Driess et al
06-11-2020	Potential Field Guided Actor-Critic Reinforcement Learning by Weiya Ren
06-10-2020	Learning to Play Table Tennis From Scratch using Muscular Robots by Dieter Büchler et al
06-09-2020	MeshWalker: Deep Mesh Understanding by Random Walks by Alon Lahav et al
06-10-2020	MC-BERT: Efficient Language Pre-Training via a Meta Controller by Zhenhui Xu et al
06-10-2020	Learning to Infer 3D Object Models from Images by Chang Chen et al
06-10-2020	Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation by Devavrat Shah et al
06-09-2020	Dialog Policy Learning for Joint Clarification and Active Learning Queries by Aishwarya Padmakumar et al
06-11-2020	Revisiting the Continuity of Rotation Representations in Neural Networks by Sitao Xiang et al
06-11-2020	Bandits with Partially Observable Offline Data by Guy Tennenholtz et al
06-10-2020	On Mixup Regularization by Luigi Carratino et al
06-10-2020	Learning to Incentivize Other Learning Agents by Jiachen Yang et al
06-11-2020	Training Generative Adversarial Networks with Limited Data by Tero Karras et al
06-10-2020	Applying Deep-Learning-Based Computer Vision to Wireless Communications: Methodologies, Opportunities, and Challenges by Yu Tian et al
06-12-2020	Move-to-Data: A new Continual Learning approach with Deep CNNs, Application for image-class recognition by Miltiadis Poursanidis et al
06-09-2020	Learning Shared Filter Bases for Efficient ConvNets by Daeyeon Kim et al
06-11-2020	Automated Identification of Thoracic Pathology from Chest Radiographs with Enhanced Training Pipeline by Adora M. DSouza et al
06-12-2020	HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach by Kamran Kowsari et al
06-10-2020	Learning Continuous-Time Dynamics by Stochastic Differential Networks by Yingru Liu et al
06-10-2020	Dataset Condensation with Gradient Matching by Bo Zhao et al
06-11-2020	Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward by Guannan Qu et al
06-11-2020	Learning to Play by Imitating Humans by Rostam Dinyari et al
06-09-2020	Bayesian Probabilistic Numerical Integration with Tree-Based Models by Harrison Zhu et al
06-11-2020	Rethinking Pre-training and Self-training by Barret Zoph et al
06-09-2020	SAL++: Sign Agnostic Learning with Derivatives by Matan Atzmon et al
06-10-2020	Use of Machine Learning for unraveling hidden correlations between Particle Size Distributions and the Mechanical Behavior of Granular Materials by Ignacio G. Tejada et al
06-10-2020	Rendering Natural Camera Bokeh Effect with Deep Learning by Andrey Ignatov et al
06-12-2020	Sparse and Continuous Attention Mechanisms by André F. T. Martins et al
06-11-2020	Detection of Novel Social Bots by Ensembles of Specialized Classifiers by Mohsen Sayyadiharikandeh et al
06-10-2020	A multi-objective-based approach for Fair Principal Component Analysis by Guilherme D. Pelegrina et al
06-11-2020	Growing Artificial Neural Networks by John Mixter et al
06-12-2020	CPR: Classifier-Projection Regularization for Continual Learning by Sungmin Cha et al
06-09-2020	Phase retrieval in high dimensions: Statistical and computational phase transitions by Antoine Maillard et al
06-12-2020	Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation by Masahiro Kato et al
06-12-2020	Multi Layer Neural Networks as Replacement for Pooling Operations by Wolfgang Fuhl et al
06-09-2020	Constrained episodic reinforcement learning in concave-convex and knapsack settings by Kianté Brantley et al
06-09-2020	Node Embeddings and Exact Low-Rank Representations of Complex Networks by Sudhanshu Chanpuriya et al
06-09-2020	A Survey on Generative Adversarial Networks: Variants, Applications, and Training by Abdul Jabbar et al
06-11-2020	Zeroth-Order Supervised Policy Improvement by Hao Sun et al
06-10-2020	Efficient Contextual Bandits with Continuous Actions by Maryam Majzoubi et al
06-09-2020	GAP++: Learning to generate target-conditioned adversarial examples by Xiaofeng Mao et al
06-12-2020	A Practical Sparse Approximation for Real Time Recurrent Learning by Jacob Menick et al
06-11-2020	Design Considerations for High Impact, Automated Echocardiogram Analysis by Wiebke Toussaint et al
06-12-2020	Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL by Cédric Colas et al
06-10-2020	Random Reshuffling: Simple Analysis with Vast Improvements by Konstantin Mishchenko et al
06-11-2020	Online Sequential Extreme Learning Machines: Features Combined From Hundreds of Midlayers by Chandra Swarathesh Addanki
06-11-2020	Graph Neural Networks for Motion Planning by Arbaaz Khan et al
06-11-2020	Multigrid-in-Channels Architectures for Wide Convolutional Neural Networks by Jonathan Ephrath et al
06-12-2020	Towards Robust Pattern Recognition: A Review by Xu-Yao Zhang et al
06-11-2020	LSSL: Longitudinal Self-Supervised Learning by Qingyu Zhao et al
06-12-2020	Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? by Shen Yan et al
06-10-2020	Deep Dimension Reduction for Supervised Representation Learning by Jian Huang et al
06-09-2020	The Tragedy of the AI Commons by Travis LaCroix et al
06-12-2020	Background Modeling via Uncertainty Estimation for Weakly-supervised Action Localization by Pilhyeon Lee et al
06-12-2020	A Brief Look at Generalization in Visual Meta-Reinforcement Learning by Safa Alver et al
06-11-2020	Iterate & Cluster: Iterative Semi-Supervised Action Recognition by Jingyuan Li et al
06-12-2020	GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning by Xinshuo Weng et al
06-10-2020	A General Framework for Analyzing Stochastic Dynamics in Learning Algorithms by Chi-Ning Chou et al
06-11-2020	SemifreddoNets: Partially Frozen Neural Networks for Efficient Computer Vision Systems by Leo F Isikdogan et al
06-11-2020	Dynamically Stable Infinite-Width Limits of Neural Classifiers by Eugene A. Golikov
06-11-2020	The Limits to Learning an SIR Process: Granular Forecasting for Covid-19 by Jackie Baek et al
06-09-2020	DeepFair: Deep Learning for Improving Fairness in Recommender Systems by Jesús Bobadilla et al
06-09-2020	TableQA: a Large-Scale Chinese Text-to-SQL Dataset for Table-Aware SQL Generation by Ningyuan Sun et al
06-12-2020	A general framework for label-efficient online evaluation with asymptotic guarantees by Neil G. Marchant et al
06-12-2020	Early Detection of Retinopathy of Prematurity (ROP) in Retinal Fundus Images Via Convolutional Neural Networks by Xin Guo et al
06-12-2020	Local-Area-Learning Network: Meaningful Local Areas for Efficient Point Cloud Analysis by Qendrim Bytyqi et al
06-11-2020	From proprioception to long-horizon planning in novel environments: A hierarchical RL model by Nishad Gothoskar et al

06-11-2020	Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches by Kamran Kowsari
06-11-2020	AdaS: Adaptive Scheduling of Stochastic Gradients by Mahdi S. Hosseini et al
06-09-2020	Online Learning in Iterated Prisoners Dilemma to Mimic Human Behavior by Baihan Lin et al
06-10-2020	Object Detection in the DCT Domain: is Luminance the Solution? by Benjamin Deguerre et al
06-09-2020	Stochastic matrix games with bandit feedback by Brendan O'Donoghue et al
06-12-2020	The eyes know it: FakeET -- An Eye-tracking Database to Understand Deepfake Perception by Parul Gupta et al
06-09-2020	A survey on deep hashing for image retrieval by Xiaopeng Zhang
06-12-2020	Learning Graph Models for Template-Free Retrosynthesis by Vignesh Ram Somnath et al
06-11-2020	Convergence of adaptive algorithms for weakly convex constrained optimization by Ahmet Alacaoglu et al
06-11-2020	Deep Reinforcement Learning for Electric Transmission Voltage Control by Brandon L. Thayer et al
06-11-2020	GANgster: A Fraud Review Detector based on Regulated GAN with Data Augmentation by Saeedreza Shehnepoor et al
06-09-2020	Neural Methods for Point-wise Dependency Estimation by Yao-Hung Hubert Tsai et al
06-12-2020	Human and Multi-Agent collaboration in a human-MARL teaming framework by Neda Navidi et al
06-10-2020	System to Integrate Fairness Transparently: An Industry Approach by Emily Dodwell et al
06-11-2020	Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks by Viktor Yanush et al
06-12-2020	Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks by He Wang et al
06-09-2020	When Differential Privacy Meets Graph Neural Networks by Sina Sajadmanesh et al
06-10-2020	Enabling Nonlinear Manifold Projection Reduced-Order Models by Extending Convolutional Neural Networks to Unstructured Data by John Tencer et al
06-11-2020	Non-Convex SGD Learns Halfspaces with Adversarial Label Noise by Ilias Diakonikolas et al
06-10-2020	To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs by Arnab Kumar Mondal et al
06-10-2020	Machine learning and control engineering: The model-free case by Michel Fliess et al
06-11-2020	Mixup Training as the Complexity Reduction by Masanari Kimura
06-11-2020	Improving GAN Training with Probability Ratio Clipping and Sample Reweighting by Yue Wu et al
06-11-2020	Optimally Deceiving a Learning Leader in Stackelberg Games by Georgios Birmpas et al
06-09-2020	A Note on Deepfake Detection with Low-Resources by Piotr Kawa et al
06-11-2020	Deep Convolutional Likelihood Particle Filter for Visual Tracking by Reza Jalil Mozhdehi et al
06-12-2020	Recurrent Sum-Product-Max Networks for Decision Making in Perfectly-Observed Environments by Hari Teja Tatavarti et al
06-10-2020	The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning by Maximilian Igl et al
06-12-2020	Understanding the Role of Training Regimes in Continual Learning by Seyed Iman Mirzadeh et al
06-12-2020	Decorrelated Double Q-learning by Gang Chen
06-10-2020	Extrapolation for Large-batch Training in Deep Learning by Tao Lin et al
06-12-2020	Comparing Natural Language Processing Techniques for Alzheimers Dementia Prediction in Spontaneous Speech by Thomas Searle et al
06-12-2020	Learning Effective Representations for Person-Job Fit by Feature Fusion by Junshu Jiang et al
06-11-2020	A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons by Gabriel Mahuas et al
06-12-2020	A Unified Analysis of Stochastic Gradient Methods for Nonconvex Federated Optimization by Zhize Li et al
06-10-2020	Weighted Lasso Estimates for Sparse Logistic Regression: Non-asymptotic Properties with Measurement Error by Huamei Huang et al
06-09-2020	Variational Model-based Policy Optimization by Yinlam Chow et al
06-09-2020	On Coresets For Regularized Regression by Rachit Chhaya et al
06-12-2020	DECSTR: Learning Goal-Directed Abstract Behaviors using Pre-Verbal Spatial Predicates in Intrinsically Motivated Agents by Ahmed Akakzia et al
06-11-2020	Is deep learning necessary for simple classification tasks? by Joseph D. Romano et al
06-11-2020	IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method by Yossi Arjevani et al
06-11-2020	A Novel Meta-Heuristic Optimization Algorithm Inspired by the Spread of Viruses by Zhixi Li et al
06-12-2020	NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing by Nikita Klyuchnikov et al
06-11-2020	SegNBDT: Visual Decision Rules for Segmentation by Alvin Wan et al
06-11-2020	On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples by Richard Y. Zhang
06-11-2020	G5: A Universal GRAPH-BERT for Graph-to-Graph Transfer and Apocalypse Learning by Jiawei Zhang
06-12-2020	FedGAN: Federated Generative AdversarialNetworks for Distributed Data by Mohammad Rasouli et al
06-12-2020	A Face Preprocessing Approach for Improved DeepFake Detection by Polychronis Charitidis et al
06-10-2020	Variance reduction for Langevin Monte Carlo in high dimensional sampling problems by Zhiyan Ding et al
06-09-2020	Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization by Samuel Daulton et al
06-09-2020	Automated Design Space Exploration for optimised Deployment of DNN on Arm Cortex-A CPUs by Miguel de Prado et al
06-10-2020	The Emergence of Individuality in Multi-Agent Reinforcement Learning by Jiechuan Jiang et al
06-09-2020	Automatic Code Summarization via Multi-dimensional Semantic Fusing in GNN by Shangqing Liu et al
06-09-2020	Time-Resolved fMRI Shared Response Model using Gaussian Process Factor Analysis by MohammadReza Ebrahimi et al
06-11-2020	A Variational Approach to Privacy and Fairness by Borja Rodríguez-Gálvez et al
06-09-2020	Graph-Aware Transformer: Is Attention All Graphs Need? by Sanghyun Yoo et al
06-11-2020	Directional convergence and alignment in deep learning by Ziwei Ji et al
06-11-2020	Machine learning model to cluster and map tribocorrosion regimes in feature space by Rahul Ramachandran
06-11-2020	Learning Halfspaces with Tsybakov Noise by Ilias Diakonikolas et al
06-11-2020	Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization by Benjamin Aubin et al
06-11-2020	On the asymptotics of wide networks with polynomial activations by Kyle Aitken et al
06-11-2020	Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors by Daheng Wang et al
06-11-2020	Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks by Katsuhiko Ishiguro et al
06-09-2020	Dual-stream Maximum Self-attention Multi-instance Learning by Bin Li et al
06-10-2020	Fair Clustering for Diverse and Experienced Groups by Ilya Amburg et al
06-11-2020	Self-organization of multi-layer spiking neural networks by Guruprasad Raghavan et al
06-11-2020	Wide and Deep Graph Neural Networks with Distributed Online Learning by Zhan Gao et al
06-09-2020	Stable Prediction via Leveraging Seed Variable by Kun Kuang et al
06-11-2020	Query Training: Learning and inference for directed and undirected graphical models by Miguel Lázaro-Gredilla et al
06-11-2020	Exploration by Maximizing R\enyi Entropy for Zero-Shot Meta RL by Chuheng Zhang et al
06-12-2020	Fourier Sparse Leverage Scores and Approximate Kernel Learning by Tamás Erdélyi et al
06-10-2020	OpEvo: An Evolutionary Method for Tensor Operator Optimization by Xiaotian Gao et al
06-11-2020	Symbolic Regression using Mixed-Integer Nonlinear Optimization by Vernon Austel et al
06-12-2020	Dynamic Model Pruning with Feedback by Tao Lin et al
06-12-2020	Implicit bias of gradient descent for mean squared error regression with wide neural networks by Hui Jin et al
06-11-2020	Distributed Reinforcement Learning in Multi-Agent Networked Systems by Yiheng Lin et al
06-12-2020	D-square-B: Deep Distribution Bound for Natural-looking Adversarial Attack by Qiuling Xu et al
06-12-2020	Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling by Russell Mendonca et al
06-10-2020	Interferometric Graph Transform: a Deep Unsupervised Graph Representation by Edouard Oyallon
06-11-2020	Understanding Regularisation Methods for Continual Learning by Frederik Benzing
06-12-2020	Power Consumption Variation over Activation Functions by Leon Derczynski
06-12-2020	Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning by Filippos Christianos et al
06-12-2020	Stochastic Gradient Langevin with Delayed Gradients by Vyacheslav Kungurtsev et al
06-09-2020	Fitted Q-Learning for Relational Domains by Srijita Das et al
06-09-2020	Learning Navigation Costs from Demonstration with Semantic Observations by Tianyu Wang et al
06-09-2020	Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience by Isar Nejadgholi et al
06-10-2020	Reinforcement Learning from a Mixture of Interpretable Experts by Riad Akrour et al
06-10-2020	Model-Free Algorithm and Regret Analysis for MDPs with Long-Term Constraints by Qinbo Bai et al
06-10-2020	Gaussian Gated Linear Networks by David Budden et al
06-09-2020	Data Augmentation for Training Dialog Models Robust to Speech Recognition Errors by Longshaokan Wang et al
06-12-2020	AlgebraNets by Jordan Hoffmann et al
06-09-2020	Black-Box Adversarial Attacks on Graph Neural Networks with Limited Node Access by Jiaqi Ma et al
06-11-2020	Stanza: A Nonlinear State Space Model for Probabilistic Inference in Non-Stationary Time Series by Anna K. Yanchenko et al
06-10-2020	OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms by Giorgio Visani et al
06-10-2020	Bayesian Experience Reuse for Learning from Multiple Demonstrators by Michael Gimelfarb et al
06-11-2020	Towards Early Diagnosis of Epilepsy from EEG Data by Diyuan Lu et al
06-11-2020	To Each Optimizer a Norm, To Each Norm its Generalization by Sharan Vaswani et al
06-12-2020	Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch by Michael Wan et al
06-09-2020	A Review of Automatically Diagnosing COVID-19 based on Scanning Image by Delong Chen et al
06-12-2020	Training spiking multi-layer networks with surrogate gradients on an analog neuromorphic substrate by Benjamin Cramer et al
06-11-2020	A new measure for overfitting and its implications for backdooring of deep learning by Kathrin Grosse et al
06-12-2020	Collaborative and continual learning for classification tasks in a society of devices by Fernando E. Casado et al
06-12-2020	Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks by Roman Pogodin et al
06-11-2020	Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation by Jonas Teuwen et al
06-11-2020	Achieving robustness in classification using optimal transport with hinge regularization by Mathieu Serrurier et al
06-11-2020	MomentumRNN: Integrating Momentum into Recurrent Neural Networks by Tan M. Nguyen et al
06-09-2020	Cost-effective Interactive Attention Learning with Neural Attention Processes by Jay Heo et al
06-11-2020	Improved Algorithms for Convex-Concave Minimax Optimization by Yuanhao Wang et al
06-12-2020	Deep Reinforcement and InfoMax Learning by Bogdan Mazoure et al
06-12-2020	Reinforced Data Sampling for Model Diversification by Hoang D. Nguyen et al
06-12-2020	Effective Training Strategies for Deep Graph Neural Networks by Kuangqi Zhou et al
06-10-2020	Multi-index Antithetic Stochastic Gradient Algorithm by Mateusz B. Majka et al
06-10-2020	Robust Grouped Variable Selection Using Distributionally Robust Optimization by Ruidi Chen et al
06-11-2020	Smoothed Geometry for Robust Attribution by Zifan Wang et al
06-11-2020	Tangent Space Sensitivity and Distribution of Linear Regions in ReLU Networks by Bálint Daróczy
06-12-2020	TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search by Tarun Gogineni et al
06-12-2020	Non-convergence of stochastic gradient descent in the training of deep neural networks by Patrick Cheridito et al
06-11-2020	DNF-Net: A Neural Architecture for Tabular Data by Ami Abutbul et al
06-11-2020	Faster DBSCAN via subsampled similarity queries by Heinrich Jiang et al

06-11-2020	PAC Bounds for Imitation and Model-based Batch Learning of Contextual Markov Decision Processes by Yash Nair et al
06-09-2020	Better Together: Resnet-50 accuracy with 13x13x fewer parameters and at 3x3x speed by Utkarsh Nath et al
06-11-2020	Robust model training and generalisation with Studentising flows by Simon Alexanderson et al
06-11-2020	Conditional Sampling With Monotone GANs by Nikola Kovachki et al
06-10-2020	When is Particle Filtering Efficient for POMDP Sequential Planning? by Simon S. Du et al
06-11-2020	Ansor : Generating High-Performance Tensor Programs for Deep Learning by Lianmin Zheng et al
06-09-2020	Robust Estimation of Tree Structured Ising Models by Ashish Katiyar et al
06-10-2020	A Probabilistic Framework for Discriminative and Neuro-Symbolic Semi-Supervised Learning by Carl Allen et al
06-11-2020	A Class of Algorithms for General Instrumental Variable Models by Niki Kilbertus et al
06-09-2020	GEOM: Energy-annotated molecular conformations for property prediction and molecular generation by Simon Axelrod et al
06-11-2020	On Correctness of Automatic Differentiation for Non-Differentiable Functions by Wonyeol Lee et al
06-12-2020	Generalized SHAP: Generating multiple types of explanations in machine learning by Dillon Bowen et al
06-12-2020	Backdoor Attacks on Federated Meta-Learning by Chien-Lun Chen et al
06-12-2020	Reservoir Computing meets Recurrent Kernels and Structured Transforms by Jonathan Dong et al
06-11-2020	TS-UCB: Improving on Thompson Sampling With Little to No Additional Computation by Jackie Baek et al
06-11-2020	Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System by Jianhong Wang et al
06-12-2020	Data-driven Koopman Operators for Model-based Shared Control of Human-Machine Systems by Alexander Broad et al
06-12-2020	Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks by Yehuda Dar et al
06-11-2020	Towards Dynamic Algorithm Selection for Numerical Black-Box Optimization: Investigating BBOB as a Use Case by Diederick Vermetten et al
06-11-2020	Characterizing Private Clipped Gradient Descent on Convex Generalized Linear Problems by Shuang Song et al
06-09-2020	DcardNet: Diabetic Retinopathy Classification at Multiple Depths Based on Structural and Angiographic Optical Coherence Tomography by Pengxiao Zang et al
06-11-2020	Recovery and Generalization in Over-Realized Dictionary Learning by Jeremias Sulam et al
06-10-2020	Bandit Samplers for Training Graph Neural Networks by Ziqi Liu et al
06-10-2020	On Uniform Convergence and Low-Norm Interpolation Learning by Lijia Zhou et al
06-11-2020	Deep Learning Requires Explicit Regularization for Reliable Predictive Probability by Taejong Joo et al
06-12-2020	Uncertainty quantification using martingales for misspecified Gaussian processes by Willie Neiswanger et al
06-10-2020	Planning in Markov Decision Processes with Gap-Dependent Sample Complexity by Anders Jonsson et al
06-09-2020	Regret Minimization for Causal Inference on Large Treatment Space by Akira Tanimoto et al
06-11-2020	Cumulant GAN by Yannis Pantazis et al
06-09-2020	Deep Neural Networks for the Sequential Probability Ratio Test on Non-i.i.d. Data Series by Akinori F. Ebihara et al
06-09-2020	An Overview of Deep Semi-Supervised Learning by Yassine Ouali et al
06-11-2020	Deep Time-Delay Reservoir Computing: Dynamics and Memory Capacity by Mirko Goldmann et al
06-12-2020	Task-similarity Aware Meta-learning through Nonparametric Kernel Regression by Arun Venkitaraman et al
06-12-2020	Gaussian Processes on Graphs via Spectral Kernel Learning by Yin-Cong Zhi et al
06-11-2020	Blissful Ignorance: Anti-Transfer Learning for Task Invariance by Eric Guizzo et al
06-10-2020	Optimal Bounds between ff-Divergences and Integral Probability Metrics by Rohit Agrawal et al
06-09-2020	Machine Learning and Control Theory by Alain Bensoussan et al
06-09-2020	Simultaneously Learning Stochastic and Adversarial Episodic MDPs with Known Transition by Tiancheng Jin et al
06-09-2020	Fast Modeling and Understanding Fluid Dynamics Systems with Encoder-Decoder Networks by Rohan Thavarajah et al
06-09-2020	Integrated Replay Spoofing-aware Text-independent Speaker Verification by Hye-jin Shim et al
06-10-2020	Making Non-Stochastic Control (Almost) as Easy as Stochastic by Max Simchowitz
06-11-2020	Data Augmentation for Graph Neural Networks by Tong Zhao et al
06-11-2020	Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search) by Sharan Vaswani et al
06-10-2020	Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network by Yutai Hou et al
06-09-2020	Distributional Robust Batch Contextual Bandits by Nian Si et al
06-12-2020	Differentially Private Stochastic Coordinate Descent by Georgios Damaskinos et al
06-12-2020	Zeroth-order Deterministic Policy Gradient by Harshat Kumar et al
06-10-2020	Learning the geometry of wave-based imaging by Konik Kothari et al
06-10-2020	Composite Logconcave Sampling with a Restricted Gaussian Oracle by Ruoqi Shen et al
06-12-2020	Generalized Multi-Relational Graph Convolution Network by Donghan Yu et al
06-11-2020	Optimizing generalization on the train set: a novel gradient-based framework to train parameters and hyperparameters simultaneously by Karim Lounici et al
06-11-2020	Learning to Learn Kernels with Variational Random Features by Xiantong Zhen et al
06-11-2020	Recurrent Neural Networks for Handover Management in Next-Generation Self-Organized Networks by Zoraze Ali et al
06-12-2020	Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs by Xunpeng Huang et al
06-11-2020	Learning Individually Inferred Communication for Multi-Agent Cooperation by Ziluo Ding et al
06-10-2020	Is the Skip Connection Provable to Reform the Neural Network Loss Landscape? by Lifu Wang et al
06-10-2020	AMER: Automatic Behavior Modeling and Interaction Exploration in Recommender System by Pengyu Zhao et al
06-10-2020	Listen to What You Want: Neural Network-based Universal Sound Selector by Tsubasa Ochiai et al
06-09-2020	Training with Multi-Layer Embeddings for Model Reduction by Benjamin Ghaemmaghami et al
06-09-2020	ADMMiRNN: Training RNN with Stable Convergence via An Efficient ADMM Approach by Yu Tang et al
06-09-2020	Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption by Xu Sun et al
06-11-2020	Learning Energy-based Model with Flow-based Backbone by Neural Transport MCMC by Erik Nijkamp et al
06-11-2020	Multiplicative noise and heavy tails in stochastic optimization by Liam Hodgkinson et al
06-10-2020	Gradient Flows for Regularized Stochastic Control Problems by David Šiška et al
06-11-2020	Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time by Yusuke Sakemi et al
06-12-2020	Towards Deeper Graph Neural Networks with Differentiable Group Normalization by Kaixiong Zhou et al
06-12-2020	A benchmark study on reliable molecular supervised learning via Bayesian learning by Doyeong Hwnag et al
06-11-2020	NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity by Sang-gil Lee et al
06-10-2020	Towards Certified Robustness of Metric Learning by Xiaochen Yang et al
06-11-2020	Robustness to Adversarial Attacks in Learning-Enabled Controllers by Zikang Xiong et al
06-11-2020	Few-shot Neural Architecture Search by Yiyang Zhao et al
06-09-2020	End-to-end User Recognition using Touchscreen Biometrics by Michał Krzemiński et al
06-09-2020	Off-the-shelf sensor vs. experimental radar -- How much resolution is necessary in automotive radar classification? by Nicolas Scheiner et al
06-12-2020	Learning TSP Requires Rethinking Generalization by Chaitanya K. Joshi et al
06-11-2020	Adaptive Reward-Free Exploration by Emilie Kaufmann et al
06-11-2020	Investigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification by Xu Li et al
06-10-2020	Self-Supervised Learning Aided Class-Incremental Lifelong Learning by Song Zhang et al
06-12-2020	Kernel Distributionally Robust Optimization by Jia-Jie Zhu et al
06-12-2020	Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing by Arun Jambulapati et al
06-11-2020	End-to-end Sinkhorn Autoencoder with Noise Generator by Kamil Deja et al
06-11-2020	Superconducting radio-frequency cavity fault classification using machine learning at Jefferson Laboratory by Chris Tennant et al
06-12-2020	Learning Decomposed Representation for Counterfactual Inference by Anpeng Wu et al
06-11-2020	Stochastic Saddle-Point Optimization for Wasserstein Barycenters by Daniil Tiapkin et al
06-12-2020	Provably Robust Metric Learning by Lu Wang et al
06-10-2020	DFraud3- Multi-Component Fraud Detection freeof Cold-start by Saeedreza Shehnepoor et al
06-10-2020	Why is Attention Not So Attentive? by Bing Bai et al
06-11-2020	Attention improves concentration when learning node embeddings by Matthew Dippel et al
06-12-2020	Learning Diverse Representations for Fast Adaptation to Distribution Shift by Daniel Pace et al
06-11-2020	Deep Transfer Learning with Ridge Regression by Shuai Tang et al
06-11-2020	NADS: Neural Architecture Distribution Search for Uncertainty Awareness by Randy Ardywibowo et al
06-11-2020	Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction by Jinheon Baek et al
06-11-2020	Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses by Raef Bassily et al
06-12-2020	Learning to Communicate Using Counterfactual Reasoning by Simon Vanneste et al
06-12-2020	ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization by Xunpeng Huang et al
06-10-2020	Meta Transition Adaptation for Robust Deep Learning with Noisy Labels by Jun Shu et al
06-09-2020	Contrastive Multi-View Representation Learning on Graphs by Kaveh Hassani et al
06-12-2020	Online Metric Learning for Multi-Label Classification by Xiuwen Gong et al
06-11-2020	GAIT-prop: A biologically plausible learning rule derived from backpropagation of error by Nasir Ahmad et al
06-09-2020	Adversarial Attacks on Brain-Inspired Hyperdimensional Computing-Based Classifiers by Fangfang Yang et al
06-11-2020	A Generalised Linear Model Framework for Variational Autoencoders based on Exponential Dispersion Families by Robert Sicks et al
06-12-2020	Recurrent Neural Networks for Stochastic Control in Real-Time Bidding by Nicolas Grislain et al
06-09-2020	Policy-focused Agent-based Modeling using RL Behavioral Models by Osonde A. Osoba et al
06-10-2020	Robustified Multivariate Regression and Classification Using Distributionally Robust Optimization under the Wasserstein Metric by Ruidi Chen et al
06-12-2020	Disentangled Representation Learning and Generation with Manifold Optimization by Arun Pandey et al
06-12-2020	How opinions crystallise: an analysis of polarisation in the voter model by Antoine Vendeville et al
06-12-2020	Dataset-Level Attribute Leakage in Collaborative Learning by Wanrong Zhang et al
06-11-2020	Hybrid Attentional Memory Network for Computational drug repositioning by Jieyue He et al
06-09-2020	Demystifying Self-Supervised Learning: An Information-Theoretical Framework by Yao-Hung Hubert Tsai et al
06-11-2020	Latent Transformations for Discrete-Data Normalising Flows by Rob Hesselink et al
06-12-2020	Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset by Thomas Searle et al
06-11-2020	Sparse recovery by reduced variance stochastic approximation by Anatoli Juditsky et al
06-10-2020	Evaluating Graph Vulnerability and Robustness using TIGER by Scott Freitas et al
06-11-2020	Interpretable, similarity-driven multi-view embeddings from high-dimensional biomedical data by Brian B. Avants et al
06-10-2020	Interpretable Multimodal Learning for Intelligent Regulation in Online Payment Systems by Shuoyao Wang et al
06-09-2020	Knowledge Distillation: A Survey by Jianping Gou et al
06-12-2020	Algorithms and Learning for Fair Portfolio Design by Emily Diana et al
06-11-2020	Perceiving Music Quality with GANs by Agrin Hilmkil et al
06-12-2020	Ensemble Distillation for Robust Model Fusion in Federated Learning by Tao Lin et al
06-11-2020	Embed Me If You Can: A Geometric Perceptron by Pavlo Melnyk et al
06-11-2020	STL-SGD: Speeding Up Local SGD with Stagewise Communication Period by Shuheng Shen et al
06-11-2020	Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings by Egbert Castro et al
06-09-2020	Recurrent Flow Networks: A Recurrent Latent Variable Model for Spatio-Temporal Density Modelling by Daniele Gammelli et al
06-09-2020	Approximating Lipschitz continuous functions with GroupSort neural networks by Ugo Tanielian et al
06-11-2020	Modeling Shared Responses in Neuroimaging Studies through MultiView ICA by Hugo Richard et al
06-09-2020	Fair Bayesian Optimization by Valerio Perrone et al
06-09-2020	The Curious Case of Convex Networks by Sarath Sivaprasad et al
06-11-2020	Stochastic Optimization for Performative Prediction by Celestine Mendler-Dünner et al
06-09-2020	Probably Approximately Correct Constrained Learning by Luiz F. O. Chamon et al
06-10-2020	On the Optimal Weighted ℓ2ℓ2 Regularization in Overparameterized Linear Regression by Denny Wu et al
06-10-2020	Distribution Regression for Continuous-Time Processes via the Expected Signature by Maud Lemercier et al
06-12-2020	Asymptotic Singular Value Distribution of Linear Convolutional Layers by Xinping Yi

06-10-2020	Description and Discussion on DCASE2020 Challenge Task2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring by Yuma Koizumi et al
06-09-2020	Self-Distillation as Instance-Specific Label Smoothing by Zhilu Zhang et al
06-09-2020	Differentiable Meta-Learning in Contextual Bandits by Branislav Kveton et al
06-11-2020	List Learning with Attribute Noise by Mahdi Cheraghchi et al
06-12-2020	Handling Multiple Costs in Optimal Transport: Strong Duality and Efficient Computation by Meyer Scetbon et al
06-12-2020	Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains by Huthaifa I. Ashqar et al
06-09-2020	Unsupervised Paraphrase Generation using Pre-trained Language Models by Chaitra Hegde et al
06-09-2020	Probabilistic Auto-Encoder by Vanessa Böhm et al
06-10-2020	Effective Dimension Adaptive Sketching Methods for Faster Regularized Least-Squares Optimization by Jonathan Lacotte et al
06-12-2020	Towards Flexible Device Participation in Federated Learning for Non-IID Data by Yichen Ruan et al
06-12-2020	The Collective Knowledge project: making ML models more portable and reproducible with open APIs, reusable best practices and MLOps by Grigori Fursin
06-12-2020	Learning from Label Proportions: A Mutual Contamination Framework by Clayton Scott et al
06-09-2020	Using an expert deviation carrying the knowledge of climate data in usual clustering algorithms by Emmanuel Biabiany et al
06-10-2020	Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data by Chloë Brown et al
06-10-2020	Auction learning as a two-player game by Jad Rahme et al
06-12-2020	Fair Regression with Wasserstein Barycenters by Evgenii Chzhen et al
06-09-2020	PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction by Eli Simhayev et al
06-09-2020	Sparse Dynamic Distribution Decomposition: Efficient Integration of Trajectory and Snapshot Time Series Data by Jake P. Taylor-King et al
06-12-2020	Real-Time Optimization Of Web Publisher RTB Revenues by Pedro Chahuara et al
06-10-2020	Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud Detection by Gonzalo Mateo-García et al
06-12-2020	Weston-Watkins Hinge Loss and Ordered Partitions by Yutong Wang et al
06-11-2020	Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation by Wenjing Meng et al
06-11-2020	Backdoors in Neural Models of Source Code by Goutham Ramakrishnan et al
06-11-2020	Getting a CLUE: A Method for Explaining Uncertainty Estimates by Javier Antorán et al
06-09-2020	XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning by MyungJae Shin et al
06-10-2020	Borrowing From the Future: Addressing Double Sampling in Model-free Control by Yuhua Zhu et al
06-11-2020	Best-Arm Identification for Quantile Bandits with Privacy by Dionysios S. Kalogerias et al
06-12-2020	Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval by Stefano Sarao Mannelli et al
06-10-2020	Improved Analysis for Dynamic Regret of Strongly Convex and Smooth Functions by Peng Zhao et al
06-09-2020	Tensor train decompositions on recurrent networks by Alejandro Murua et al
06-09-2020	Neural Networks, Ridge Splines, and TV Regularization in the Radon Domain by Rahul Parhi et al
06-12-2020	Linear Time Sinkhorn Divergences using Positive Features by Meyer Scetbon et al
06-09-2020	Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning by Andrei Boiarov et al
06-11-2020	The Backbone Method for Ultra-High Dimensional Sparse Machine Learning by Dimitris Bertsimas et al
06-12-2020	Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections by Csaba Toth et al
06-10-2020	Forming an Electoral College for a Graph: a Heuristic Semi-supervised Learning Framework by Chen Li et al
06-11-2020	Reserve Price Optimization for First Price Auctions by Zhe Feng et al
06-09-2020	Machine Learning for Imaging Cherenkov Detectors by Cristiano Fanelli
06-12-2020	Kidney segmentation in neck-to-knee body MRI of 40,000 UK Biobank participants by Taro Langner et al
06-11-2020	How Interpretable and Trustworthy are GAMs? by Chun-Hao Chang et al
06-09-2020	Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement by Xiaojie Guo et al
06-09-2020	Reducing Class Collapse in Metric Learning with Easy Positive Sampling by Elad Levi et al
06-09-2020	Global Data Science Project for COVID-19 Summary Report by Dario Garcia-Gasulla et al
06-12-2020	PAC-Bayes unleashed: generalisation bounds with unbounded losses by Maxime Haddouche et al
06-12-2020	Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales by Masahiro Kato
06-12-2020	Fairness in Forecasting and Learning Linear Dynamical Systems by Quan Zhou et al
06-11-2020	Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits by Pierre Perrault et al
06-09-2020	Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning by Xiaoshui Huang et al
06-10-2020	AdaSense: Adaptive Low-Power Sensing and Activity Recognition for Wearable Devices by Marina Neseem et al
06-12-2020	Heterogeneity-Aware Federated Learning by Chengxu Yang et al
06-09-2020	Conditional Sig-Wasserstein GANs for Time Series Generation by Hao Ni et al
06-11-2020	Optimization Theory for ReLU Neural Networks Trained with Normalization Layers by Yonatan Dukler et al
06-09-2020	Low Distortion Block-Resampling with Spatially Stochastic Networks by Sarah Jane Hong et al
06-09-2020	Learning to Stop While Learning to Predict by Xinshi Chen et al
06-09-2020	Isotropic SGD: a Practical Approach to Bayesian Posterior Sampling by Giulio Franzese et al
06-11-2020	Multi-Agent Informational Learning Processes by Justin K Terry et al
06-12-2020	Using Reinforcement Learning to Allocate and Manage Service Function Chains in Cellular Networks by Guto Leoni Santos et al
06-12-2020	On Second Order Behaviour in Augmented Neural ODEs by Alexander Norcliffe et al
06-12-2020	Tight Approximate Differential Privacy for Discrete-Valued Mechanisms Using FFT by Antti Koskela et al
06-11-2020	How Many Samples is a Good Initial Point Worth? by Gavin Zhang et al
06-10-2020	Representation formulas and pointwise properties for Barron functions by Weinan E et al
06-11-2020	Improved Design of Quadratic Discriminant Analysis Classifier in Unbalanced Settings by Amine Bejaoui et al
06-11-2020	Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems by Zhishuai Guo et al
06-10-2020	Interpolation between Residual and Non-Residual Networks by Zonghan Yang et al
06-12-2020	On Voronoi diagrams and dual Delaunay complexes on the information-geometric Cauchy manifolds by Frank Nielsen
06-12-2020	Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties by César Sabater et al
06-09-2020	Variational Optimization for the Submodular Maximum Coverage Problem by Jian Du et al
06-11-2020	On mistakes we made in prior Computational Psychiatry Data driven approach projects and how they jeopardize translation of those findings in clinical practice by Milena Čukić Radenković et al
06-09-2020	Distributed Learning on Heterogeneous Resource-Constrained Devices by Martin Rapp et al
06-09-2020	The statistical effect of entropic regularization in optimal transportation by Eustasio del Barrio et al
06-10-2020	Data science on industrial data -- Todays challenges in brown field applications by Tilman Klaeger et al
06-10-2020	Anytime MiniBatch: Exploiting Stragglers in Online Distributed Optimization by Nuwan Ferdinand et al
06-11-2020	A PDD Decoder for Binary Linear Codes With Neural Check Polytope Projection by Yi Wei et al
06-11-2020	On Worst-case Regret of Linear Thompson Sampling by Nima Hamidi et al
06-12-2020	Minimax Estimation of Conditional Moment Models by Nishanth Dikkala et al
06-12-2020	Approximate Inference for Spectral Mixture Kernel by Yohan Jung et al
06-09-2020	Can artificial intelligence (AI) be used to accurately detect tuberculosis (TB) from chest x-ray? A multiplatform evaluation of five AI products used for TB screening in a high TB-burden setting by Zhi Zhen Qin et al
06-09-2020	Foreshadowing the Benefits of Incidental Supervision by Hangfeng He et al
06-10-2020	Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter by Qi Huang et al
06-12-2020	FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction by Georgios Damaskinos et al
06-12-2020	Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic Networks by Yohann de Castro et al
06-09-2020	Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps by Xianfeng Tang et al
06-09-2020	Learning With Differential Privacy by Poushali Sengupta et al
06-09-2020	A Machine Learning Early Warning System: Multicenter Validation in Brazilian Hospitals by Jhonatan Kobylarz et al
06-09-2020	On the Effectiveness of Regularization Against Membership Inference Attacks by Yigitcan Kaya et al
06-11-2020	Efficient Conversion of Bayesian Network Learning into Quadratic Unconstrained Binary Optimization by Yuta Shikuri
06-12-2020	Vulnerable Road User Detection Using Smartphone Sensors and Recurrence Quantification Analysis by Huthaifa I. Ashqar et al
06-09-2020	Adversarial Infidelity Learning for Model Interpretation by Jian Liang et al
06-10-2020	Low Rank Directed Acyclic Graphs and Causal Structure Learning by Zhuangyan Fang et al
06-11-2020	Algorithmic recourse under imperfect causal knowledge: a probabilistic approach by Amir-Hossein Karimi et al
06-09-2020	Detecting structural perturbations from time series with deep learning by Edward Laurence et al
06-12-2020	How many winning tickets are there in one DNN? by Kathrin Grosse et al
06-09-2020	VAEs in the Presence of Missing Data by Mark Collier et al
06-09-2020	Learning Functions to Study the Benefit of Multitask Learning by Gabriele Bettgenhäuser et al
06-09-2020	Novelty Detection via Robust Variational Autoencoding by Chieh-Hsin Lai et al
06-09-2020	Regret Balancing for Bandit and RL Model Selection by Yasin Abbasi-Yadkori et al
06-09-2020	C-SL: Contrastive Sound Localization with Inertial-Acoustic Sensors by Majid Mirbagheri et al
06-09-2020	Real-time Localization Using Radio Maps by Çağkan Yapar et al
06-09-2020	ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search by Nick Craswell et al
06-09-2020	How Robust is the Median-of-Means? Concentration Bounds in Presence of Outliers by Pierre Laforgue et al
06-09-2020	Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model by Jiaqi Ma et al
06-09-2020	ProcData: An R Package for Process Data Analysis by Xueying Tang et al
06-09-2020	Hysia: Serving DNN-Based Video-to-Retail Applications in Cloud by Huaizheng Zhang et al
06-11-2020	Deep Learning-based Stress Determinator for Mouse Psychiatric Analysis using Hippocampus Activity by Donghan Liu et al
06-11-2020	Automating Cluster Analysis to Generate Customer Archetypes for Residential Energy Consumers in South Africa by Wiebke Toussaint et al
06-09-2020	Manifold structure in graph embeddings by Patrick Rubin-Delanchy
06-09-2020	A Flexible and Intelligent Framework for Remote Health Monitoring Dashboards by Shayan Fazeli et al
06-09-2020	Examination and Extension of Strategies for Improving Personalized Language Modeling via Interpolation by Liqun Shao et al
06-09-2020	Hierarchical regularization networks for sparsification based learning on noisy datasets by Prashant Shekhar et al
06-11-2020	Bandit-PAM: Almost Linear Time kk-Medoids Clustering via Multi-Armed Bandits by Mo Tiwari et al
06-11-2020	Grooming a Single Bandit Arm by Eren Ozbay et al
06-11-2020	Group-Fair Online Allocation in Continuous Time by Semih Cayci et al
06-09-2020	Scalable Thompson Sampling using Sparse Gaussian Process Models by Sattar Vakili et al
06-09-2020	Deep Adversarial Koopman Model for Reaction-Diffusion systems by Kaushik Balakrishnan et al
06-09-2020	MLModelCI: An Automatic Cloud Platform for Efficient MLaaS by Huaizheng Zhang et al
06-09-2020	DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users Dynamic Preferences for Information Diffusion Prediction by Chunyuan Yuan et al
06-09-2020	Provable tradeoffs in adversarially robust classification by Edgar Dobriban et al
06-09-2020	Faster PAC Learning and Smaller Coresets via Smoothed Analysis by Alaa Maalouf et al
06-11-2020	Adaptive Sampling to Reduce Disparate Performance by Jacob Abernethy et al
06-09-2020	Artificial Intelligence (AI)-Centric Management of Resources in Modern Distributed Computing Systems by Shashikant Ilager et al
06-10-2020	STONNE: A Detailed Architectural Simulator for Flexible Neural Network Accelerators by Francisco Muñoz-Martínez et al
06-09-2020	Statistical Estimation of High-Dimensional Vector Autoregressive Models by Jonas Krampe et al
06-09-2020	Adaptation Strategies for Automated Machine Learning on Evolving Data by Bilge Celik et al
06-10-2020	Simulating Tariff Impact in Electrical Energy Consumption Profiles with Conditional Variational Autoencoders by Margaux Brégère et al
06-10-2020	Deep generative models for musical audio synthesis by M. Huzaifah et al
06-09-2020	Rank Reduction, Matrix Balancing, and Mean-Field Approximation on Statistical Manifold by Kazu Ghalamkari et al
06-09-2020	Homomorphic Sensing of Subspace Arrangements by Liangzu Peng et al
06-09-2020	On the Bottleneck of Graph Neural Networks and its Practical Implications by Uri Alon et al
06-09-2020	Coverage probability in wireless networks with determinantal scheduling by Bartek Błaszczyszyn et al
06-09-2020	Coresets for Near-Convex Functions by Murad Tukan et al