2020.02.24 Learning papers

02-18-2020	Improving Generalization by Controlling Label-Noise Information in Neural Network Weights by Hrayr Harutyunyan et al
02-18-2020	Curriculum in Gradient-Based Meta-Reinforcement Learning by Bhairav Mehta et al
02-19-2020	SummaryNet: A Multi-Stage Deep Learning Model for Automatic Video Summarisation by Ziyad Jappie et al
02-19-2020	Human Action Recognition using Local Two-Stream Convolution Neural Network Features and Support Vector Machines by David Torpey et al
02-21-2020	Robustness from Simple Classifiers by Sharon Qian et al
02-20-2020	Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences by Daniel S. Brown et al
02-20-2020	Towards Byzantine-resilient Learning in Decentralized Systems by Shangwei Guo et al
02-19-2020	Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems by Md. Shirajum Munir et al
02-19-2020	Federated pretraining and fine tuning of BERT using clinical notes from multiple silos by Dianbo Liu et al
02-21-2020	Double Explore-then-Commit: Asymptotic Optimality and Beyond by Tianyuan Jin et al
02-18-2020	A Modified Perturbed Sampling Method for Local Interpretable Model-agnostic Explanation by Sheng Shi et al
02-18-2020	Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders by Andrea Asperti et al
02-20-2020	Bounding the expected run-time of nonconvex optimization with early stopping by Thomas Flynn et al
02-20-2020	Set2Graph: Learning Graphs From Sets by Hadar Serviansky et al
02-21-2020	Sparsity in Optimal Randomized Classification Trees by Rafael Blanquero et al
02-18-2020	Uncertainty in Structured Prediction by Andrey Malinin et al
02-20-2020	APTER: Aggregated Prognosis Through Exponential Reweighting by Kristiaan Pelckmans et al
02-18-2020	Gravitational-wave parameter estimation with autoregressive neural network flows by Stephen R. Green et al
02-20-2020	Deep Multi-Facial Patches Aggregation Network For Facial Expression Recognition by Ahmed Rachid Hazourli et al
02-21-2020	A Multiclass Classification Approach to Label Ranking by Stephan Clémençon et al
02-18-2020	Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims by Kevin Meng et al
02-18-2020	Local Propagation in Constraint-based Neural Network by Giuseppe Marra et al
02-18-2020	Adaptive Estimator Selection for Off-Policy Evaluation by Yi Su et al
02-18-2020	Empirical Policy Evaluation with Supergraphs by Daniel Vial et al
02-20-2020	Reliable Distributed Clustering with Redundant Data Assignment by Venkata Gandikota et al
02-20-2020	Imputer: Sequence Modelling via Imputation and Dynamic Programming by William Chan et al
02-20-2020	Interpretability of machine learning based prediction models in healthcare by Gregor Stiglic et al
02-20-2020	KaoKore: A Pre-modern Japanese Art Facial Expression Dataset by Yingtao Tian et al
02-20-2020	On Learning Sets of Symmetric Elements by Haggai Maron et al
02-19-2020	Pruning untrained neural networks: Principles and Analysis by Soufiane Hayou et al
02-20-2020	Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network by Yuanyuan Jin et al
02-19-2020	Safe Counterfactual Reinforcement Learning by Yusuke Narita et al
02-21-2020	Robust Optimization for Fairness with Noisy Protected Groups by Serena Wang et al
02-20-2020	DSNAS: Direct Neural Architecture Search without Parameter Retraining by Shoukang Hu et al
02-20-2020	Contextual Reserve Price Optimization in Auctions by Joey Huchette et al
02-19-2020	Error detection in Knowledge Graphs: Path Ranking, Embeddings or both? by R. Fasoulis et al
02-20-2020	Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games by Ashutosh Adhikari et al
02-20-2020	Balancing Cost and Benefit with Tied-Multi Transformers by Raj Dabre et al
02-20-2020	Boosting Adversarial Training with Hypersphere Embedding by Tianyu Pang et al
02-18-2020	Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness by Samuel Yeom et al
02-20-2020	Second-order Conditional Gradients by Alejandro Carderera et al
02-18-2020	Generating Automatic Curricula via Self-Supervised Active Domain Randomization by Sharath Chandra Raparthy et al
02-18-2020	TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook by Nima Noorshams et al
02-18-2020	Block Switching: A Stochastic Approach for Deep Learning Security by Xiao Wang et al
02-20-2020	On the Decision Boundaries of Deep Neural Networks: A Tropical Geometry Perspective by Motasem Alfarra et al
02-20-2020	No-Regret and Incentive-Compatible Online Learning by Rupert Freeman et al
02-18-2020	Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration by Cong Guo et al
02-21-2020	Learning to Simulate Complex Physics with Graph Networks by Alvaro Sanchez-Gonzalez et al
02-20-2020	Regret Minimization in Stochastic Contextual Dueling Bandits by Aadirupa Saha et al
02-21-2020	An Investigation of Interpretability Techniques for Deep Learning in Predictive Process Analytics by Catarina Moreira et al
02-19-2020	On Adaptive Attacks to Adversarial Example Defenses by Florian Tramer et al
02-19-2020	Schoenberg-Rao distances: Entropy-based and geometry-aware statistical Hilbert distances by Gaëtan Hadjeres et al
02-18-2020	Multi-Issue Bargaining With Deep Reinforcement Learning by Ho-Chun Herbert Chang
02-20-2020	The Benefits of Pairwise Discriminators for Adversarial Training by Shangyuan Tong et al
02-19-2020	Hierarchical models vs. transfer learning for document-level sentiment classification by Jeremy Barnes et al
02-21-2020	Sparse principal component regression via singular value decomposition approach by Shuichi Kawano
02-18-2020	Improved Optimistic Algorithms for Logistic Bandits by Louis Faury et al
02-19-2020	The continuous categorical: a novel simplex-valued exponential family by Elliott Gordon-Rodriguez et al
02-20-2020	Wavesplit: End-to-End Speech Separation by Speaker Clustering by Neil Zeghidour et al
02-20-2020	Meta-learning for mixed linear regression by Weihao Kong et al
02-18-2020	Tourism Demand Forecasting with Tourist Attention: An Ensemble Deep Learning Approach by Shaolong Sun et al
02-18-2020	Being Bayesian about Categorical Probability by Taejong Joo et al
02-18-2020	Inductive Representation Learning on Temporal Graphs by Da Xu et al
02-20-2020	Differential Dynamic Programming Neural Optimizer by Guan-Horng Liu et al
02-20-2020	Guiding attention in Sequence-to-sequence models for Dialogue Act prediction by Pierre Colombo et al
02-18-2020	Neural Architecture Search For Fault Diagnosis by Xudong Li et al
02-18-2020	Neural Attentive Multiview Machines by Oren Barkan et al
02-20-2020	Stein Self-Repulsive Dynamics: Benefits From Past Samples by Mao Ye et al
02-19-2020	NeuroFabric: Identifying Ideal Topologies for Training A Priori Sparse Networks by Mihailo Isakov et al
02-19-2020	Hierarchical Quantized Autoencoders by Will Williams et al
02-19-2020	Outcome Correlation in Graph Neural Network Regression by Junteng Jia et al
02-19-2020	Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach by Shaolong Suna et al
02-19-2020	Toward Low-Cost and Stable Blockchain Networks by Minghong Fang et al
02-19-2020	Influence Function based Data Poisoning Attacks to Top-N Recommender Systems by Minghong Fang et al
02-19-2020	Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows by Gene Ryan Yoo et al
02-20-2020	Multi-step Online Unsupervised Domain Adaptation by J. H. Moon et al
02-20-2020	Online high rank matrix completion by Jicong Fan et al
02-20-2020	Nystr\om Subspace Learning for Large-scale SVMs by Weida Li et al
02-18-2020	Workshop Report: Detection and Classification in Marine Bioacoustics with Deep Learning by Fabio Frazao et al
02-19-2020	Optimistic Policy Optimization with Bandit Feedback by Yonathan Efroni et al
02-19-2020	A Unified Convergence Analysis for Shuffling-Type Gradient Methods by Lam M. Nguyen et al
02-20-2020	Distributionally Robust Bayesian Optimization by Johannes Kirschner et al
02-20-2020	Towards Certifiable Adversarial Sample Detection by Ilia Shumailov et al
02-21-2020	Adversarial Detection and Correction by Matching Prediction Distributions by Giovanni Vacanti et al
02-19-2020	Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks by Russell Tsuchida et al
02-18-2020	How to Solve Fair kk-Center in Massive Data Models by Ashish Chiplunkar et al
02-18-2020	Deep Neural Networks for the Correction of Mie Scattering in Fourier-Transformed Infrared Spectra of Biological Samples by Arne P. Raulf et al
02-18-2020	Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps by Zhichuang Sun et al
02-18-2020	Robust Quantization: One Model to Rule Them All by Moran Shkolnik et al
02-18-2020	A Lagrangian Approach to Information Propagation in Graph Neural Networks by Matteo Tiezzi et al
02-21-2020	Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization by Karim Huesmann et al
02-20-2020	Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation by Dmitry Molchanov et al
02-20-2020	Using Deep Learning to Improve Ensemble Smoother: Applications to Subsurface Characterization by Jiangjiang Zhang et al
02-20-2020	Regularized Autoencoders via Relaxed Injective Probability Flow by Abhishek Kumar et al
02-18-2020	Hierarchical Correlation Clustering and Tree Preserving Embedding by Morteza Haghir Chehreghani
02-18-2020	Gradient Boosting Neural Networks: GrowNet by Sarkhan Badirli et al
02-18-2020	Picking Winning Tickets Before Training by Preserving Gradient Flow by Chaoqi Wang et al
02-18-2020	Generalized Neural Policies for Relational MDPs by Sankalp Garg et al
02-18-2020	DISCO: Double Likelihood-free Inference Stochastic Control by Lucas Barcelos et al
02-20-2020	Do you comply with AI? -- Personalized explanations of learning algorithms and their impact on employees compliance behavior by NIklas Kuhl et al
02-18-2020	Propose, Test, Release: Differentially private estimation with high probability by Victor-Emmanuel Brunel et al
02-20-2020	Diversity sampling is an implicit regularization for kernel methods by Michaël Fanuel et al
02-20-2020	Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision by Xingchao Liu et al
02-19-2020	Efficient Deep Reinforcement Learning through Policy Transfer by Tianpei Yang et al
02-20-2020	PA-Cache: Learning-based Popularity-Aware Content Caching in Edge Networks by Qilin Fan et al
02-19-2020	MonoLayout: Amodal scene layout from a single image by Kaustubh Mani et al
02-20-2020	Support-weighted Adversarial Imitation Learning by Ruohan Wang et al
02-21-2020	Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia by Xiaowei Xu et al
02-21-2020	Generalisation error in learning with random features and the hidden manifold model by Federica Gerace et al
02-21-2020	Distributed Mean Estimation with Optimal Error Bounds by Dan Alistarh et al
02-19-2020	Knapsack Pruning with Inner Distillation by Yonathan Aflalo et al
02-19-2020	Distance-Based Regularisation of Deep Networks for Fine-Tuning by Henry Gouk et al
02-20-2020	Adaptive Graph Auto-Encoder for General Data Clustering by Xuelong Li et al
02-20-2020	Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms by Pietro Barbiero et al
02-20-2020	Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing by Xuelong Li et al
02-19-2020	Strength from Weakness: Fast Learning Using Weak Supervision by Joshua Robinson et al
02-19-2020	Estimating Training Data Influence by Tracking Gradient Descent by Garima Pruthi et al
02-18-2020	Learning Bijective Feature Maps for Linear ICA by Alexander Camuto et al
02-20-2020	A Structured Prediction Approach for Conditional Meta-Learning by Ruohan Wang et al
02-19-2020	How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure Agents by Prithviraj Ammanabrolu et al
02-20-2020	Bayesian Deep Learning and a Probabilistic Perspective of Generalization by Andrew Gordon Wilson et al
02-18-2020	k-means++: few more steps yield constant approximation by Davin Choo et al
02-21-2020	Adaptive Covariate Acquisition for Minimizing Total Cost of Classification by Daniel Andrade et al
02-20-2020	Optimizing Black-box Metrics with Adaptive Surrogates by Qijia Jiang et al
02-20-2020	Contextual Lensing of Universal Sentence Representations by Jamie Kiros
02-20-2020	Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning by Yaofeng Desmond Zhong et al
02-18-2020	Personalized Federated Learning: A Meta-Learning Approach by Alireza Fallah et al
02-18-2020	A unified framework for 21cm tomography sample generation and parameter inference with Progressively Growing GANs by Florian List et al
02-18-2020	Source Separation with Deep Generative Priors by Vivek Jayaram et al
02-18-2020	Action-Manipulation Attacks Against Stochastic Bandits: Attacks and Defense by Guanlin Liu et al
02-19-2020	NNoculation: Broad Spectrum and Targeted Treatment of Backdoored DNNs by Akshaj Kumar Veldanda et al
02-21-2020	Efficiently sampling functions from Gaussian process posteriors by James T. Wilson et al
02-21-2020	Differentiable Likelihoods for Fast Inversion of Likelihood-Free Dynamical Systems by Hans Kersting et al
02-20-2020	Stochastic Runge-Kutta methods and adaptive SGD-G2 stochastic gradient descent by Imen Ayadi et al
02-19-2020	Molecule Attention Transformer by Łukasz Maziarka et al
02-19-2020	Multilogue-Net: A Context Aware RNN for Multi-modal Emotion Detection and Sentiment Analysis in Conversation by Aman Shenoy et al
02-19-2020	Learning Bounds for Moment-Based Domain Adaptation by Werner Zellinger et al
02-20-2020	Second Order Optimization Made Practical by Rohan Anil et al
02-20-2020	Computational Design with Crowds by Yuki Koyama et al
02-19-2020	Pulsars Detection by Machine Learning with Very Few Features by Haitao Lin et al
02-19-2020	Stochastic Regret Minimization in Extensive-Form Games by Gabriele Farina et al
02-19-2020	Entrywise convergence of iterative methods for eigenproblems by Vasileios Charisopoulos et al
02-18-2020	An enhanced Tree-LSTM architecture for sentence semantic modeling using typed dependencies by Jeena Kleenankandy et al
02-20-2020	Dynamic Federated Learning by Elsa Rizk et al
02-18-2020	A flexible outlier detector based on a topology given by graph communities by O. Ramos Terrades et al
02-18-2020	MAST: A Memory-Augmented Self-supervised Tracker by Zihang Lai et al
02-20-2020	Fast Differentiable Sorting and Ranking by Mathieu Blondel et al
02-20-2020	Halpern Iteration for Near-Optimal and Parameter-Free Monotone Inclusion and Strong Solutions to Variational Inequalities by Jelena Diakonikolas
02-20-2020	Multi-Agent Reinforcement Learning as a Computational Tool for Language Evolution Research: Historical Context and Future Challenges by Clément Moulin-Frier et al
02-21-2020	Refinement of Unsupervised Cross-Lingual Word Embeddings by Magdalena Biesialska et al
02-19-2020	Variational Encoder-based Reliable Classification by Chitresh Bhushan et al
02-20-2020	The DIDI dataset: Digital Ink Diagram data by Philippe Gervais et al
02-18-2020	Learning Parities with Neural Networks by Amit Daniely et al

02-18-2020	Deflecting Adversarial Attacks by Yao Qin et al
02-19-2020	Rnn-transducer with language bias for end-to-end Mandarin-English code-switching speech recognition by Shuai Zhang et al
02-19-2020	Gradient-Adjusted Neuron Activation Profiles for Comprehensive Introspection of Convolutional Speech Recognition Models by Andreas Krug et al
02-21-2020	Stochastic Latent Residual Video Prediction by Jean-Yves Franceschi et al
02-19-2020	Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation by Steven Kleinegesse et al
02-19-2020	Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks by Tsubasa Takahashi
02-19-2020	Communication-Efficient Distributed SVD via Local Power Iterations by Xiang Li et al
02-21-2020	Kernel Conditional Moment Test via Maximum Moment Restriction by Krikamol Muandet et al
02-18-2020	Is Local SGD Better than Minibatch SGD? by Blake Woodworth et al
02-18-2020	Higher-Order Label Homogeneity and Spreading in Graphs by Dhivya Eswaran et al
02-19-2020	When Radiology Report Generation Meets Knowledge Graph by Yixiao Zhang et al
02-19-2020	Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning by Laetitia Chapel et al
02-20-2020	SummerTime: Variable-length Time SeriesSummarization with Applications to PhysicalActivity Analysis by Kevin M. Amaral et al
02-18-2020	Multi-Step Model-Agnostic Meta-Learning: Convergence and Improved Algorithms by Kaiyi Ji et al
02-20-2020	Learning Gaussian Graphical Models via Multiplicative Weights by Anamay Chaturvedi et al
02-20-2020	Computationally Tractable Riemannian Manifolds for Graph Embeddings by Calin Cruceru et al
02-18-2020	Fair Prediction with Endogenous Behavior by Christopher Jung et al
02-19-2020	Neural Networks on Random Graphs by Romuald A. Janik et al
02-19-2020	Descriptive and Predictive Analysis of Euroleague Basketball Games and the Wisdom of Basketball Crowds by Georgios Giasemidis
02-20-2020	Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning by Devansh Arpit et al
02-20-2020	oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions by David Venuto et al
02-19-2020	Learning Global Transparent Models from Local Contrastive Explanations by Tejaswini Pedapati et al
02-19-2020	Multiple Imputation with Denoising Autoencoder using Metamorphic Truth and Imputation Feedback by Haw-minn Lu et al
02-20-2020	An empirical study of Conv-TasNet by Berkan Kadioglu et al
02-20-2020	Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice by Yabin Zhang et al
02-20-2020	Object 6D Pose Estimation with Non-local Attention by Jianhan Mei et al
02-18-2020	The Tree Ensemble Layer: Differentiability meets Conditional Computation by Hussein Hazimeh et al
02-21-2020	Binary Probability Model for Learning Based Image Compression by Théo Ladune et al
02-19-2020	A Unified Framework for Gaussian Mixture Reduction with Composite Transportation Distance by Qiong Zhang et al
02-19-2020	SYMOG: learning symmetric mixture of Gaussian modes for improved fixed-point quantization by Lukas Enderich et al
02-20-2020	Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy by Jiaxing Zhang et al
02-19-2020	Randomized Smoothing of All Shapes and Sizes by Greg Yang et al
02-20-2020	GenDICE: Generalized Offline Estimation of Stationary Values by Ruiyi Zhang et al
02-20-2020	Improved guarantees and a multiple-descent curve for the Column Subset Selection Problem and the Nystr\om method by Michał Dereziński et al
02-21-2020	Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencoder based Collaborative Filtering by Yuan Jin et al
02-19-2020	BB_Evac: Fast Location-Sensitive Behavior-Based Building Evacuation by Subhra Mazumdar et al
02-20-2020	An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm by Mehdi Neshat et al
02-20-2020	Learning with Differentiable Perturbed Optimizers by Quentin Berthet et al
02-20-2020	Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment by You-Wei Luo et al
02-18-2020	Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent by Pu Zhao et al
02-18-2020	Hierarchical Transformer Network for Utterance-level Emotion Recognition by QingBiao Li et al
02-20-2020	A Bayes-Optimal View on Adversarial Examples by Eitan Richardson et al
02-18-2020	Observational nonidentifiability, generalized likelihood and free energy by A. E. Allahverdyan
02-20-2020	A General Pairwise Comparison Model for Extremely Sparse Networks by Ruijian Han et al
02-19-2020	PrivacyFL: A simulator for privacy-preserving and secure federated learning by Vaikkunth Mugunthan et al
02-20-2020	Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs by Valentin Radu et al
02-18-2020	Assessing the Memory Ability of Recurrent Neural Networks by Cheng Zhang et al
02-18-2020	An Overview of Distance and Similarity Functions for Structured Data by Santiago Ontañón
02-20-2020	Differential Privacy for Eye Tracking with Temporal Correlations by Efe Bozkir et al
02-19-2020	Dissecting Neural ODEs by Stefano Massaroli et al
02-21-2020	Efficient Learning of Model Weights via Changing Features During Training by Marcell Beregi-Kovács et al
02-21-2020	Is Aligning Embedding Spaces a Challenging Task? An Analysis of the Existing Methods by Russa Biswas et al
02-20-2020	Incremental Sampling Without Replacement for Sequence Models by Kensen Shi et al
02-20-2020	Autonomous Discovery of Unknown Reaction Pathways from Data by Chemical Reaction Neural Network by Weiqi Ji et al
02-18-2020	MoTiAC: Multi-Objective Actor-Critics for Real-Time Bidding by Chaoqi Yang et al
02-19-2020	Causal Inference under Networked Interference by Yunpu Ma et al
02-20-2020	Deep Sigma Point Processes by Martin Jankowiak et al
02-20-2020	Learning Deep Kernels for Non-Parametric Two-Sample Tests by Feng Liu et al
02-19-2020	Simultaneous Inference for Massive Data: Distributed Bootstrap by Yang Yu et al
02-19-2020	SD-GAN: Structural and Denoising GAN reveals facial parts under occlusion by Samik Banerjee et al
02-20-2020	Optimal anytime regret with two experts by Nicholas J. A. Harvey et al
02-18-2020	Gradient ℓ1ℓ1 Regularization for Quantization Robustness by Milad Alizadeh et al
02-18-2020	Conditional Mutual information-based Contrastive Loss for Financial Time Series Forecasting by Hanwei Wu et al
02-18-2020	Comparative Visual Analytics for Assessing Medical Records with Sequence Embedding by Rongchen Guo et al
02-21-2020	Likelihood-free inference of experimental Neutrino Oscillations using Neural Spline Flows by Sebastian Pina-Otey et al
02-20-2020	Stochastic Optimization for Regularized Wasserstein Estimators by Marin Ballu et al
02-20-2020	Uncertainty Principle for Communication Compression in Distributed and Federated Learning and the Search for an Optimal Compressor by Mher Safaryan et al
02-18-2020	Distributed Optimization over Block-Cyclic Data by Yucheng Ding et al
02-19-2020	Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation by Hai H. Tran et al
02-19-2020	Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms by Tengchan Zeng et al
02-20-2020	An Elementary Approach to Convergence Guarantees of Optimization Algorithms for Deep Networks by Vincent Roulet et al
02-20-2020	Designing Fair AI for Managing Employees in Organizations: A Review, Critique, and Design Agenda by Lionel P. Robert et al
02-21-2020	Transformer Hawkes Process by Simiao Zuo et al
02-19-2020	Non-asymptotic and Accurate Learning of Nonlinear Dynamical Systems by Yahya Sattar et al
02-19-2020	Adaptive Temporal Difference Learning with Linear Function Approximation by Tao Sun et al
02-18-2020	Text Classification with Lexicon from PreAttention Mechanism by QingBiao LI et al
02-20-2020	GANs May Have No Nash Equilibria by Farzan Farnia et al
02-19-2020	Residual Bootstrap Exploration for Bandit Algorithms by Chi-Hua Wang et al
02-19-2020	From Poincar\e Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization by Julien Perolat et al
02-19-2020	Learning Fair Scoring Functions: Fairness Definitions, Algorithms and Generalization Bounds for Bipartite Ranking by Robin Vogel et al
02-20-2020	Comparing recurrent and convolutional neural networks for predicting wave propagation by Stathi Fotiadis et al
02-20-2020	A Novel Framework for Selection of GANs for an Application by Tanya Motwani et al
02-21-2020	Its Not What Machines Can Learn, Its What We Cannot Teach by Gal Yehuda et al
02-18-2020	Best-item Learning in Random Utility Models with Subset Choices by Aadirupa Saha et al
02-18-2020	A Computationally Efficient Neural Network Invariant to the Action of Symmetry Subgroups by Piotr Kicki et al
02-19-2020	The Geometry of Sign Gradient Descent by Lukas Balles et al
02-19-2020	Progressive Identification of True Labels for Partial-Label Learning by Jiaqi Lv et al
02-21-2020	Parameterized Objectives and Algorithms for Clustering Bipartite Graphs and Hypergraphs by Nate Veldt et al
02-21-2020	Privately Learning Markov Random Fields by Huanyu Zhang et al
02-21-2020	Locally Private Hypothesis Selection by Sivakanth Gopi et al
02-21-2020	Private Mean Estimation of Heavy-Tailed Distributions by Gautam Kamath et al
02-21-2020	An end-to-end approach for the verification problem: learning the right distance by Joao Monteiro et al
02-19-2020	Multi-wavelet residual dense convolutional neural network for image denoising by Shuo-Fei Wang et al
02-19-2020	Quantum statistical query learning by Srinivasan Arunachalam et al
02-19-2020	Physics-informed Neural Networks for Solving Nonlinear Diffusivity and Biots equations by Teeratorn Kadeethum et al
02-19-2020	Event sequence metric learning by Dmitrii Babaev et al
02-20-2020	Distributed No-Regret Learning in Multi-Agent Systems by Xiao Xu et al
02-20-2020	A Road Map to Strong Intelligence by Philip Paquette
02-20-2020	MODMA dataset: a Multi-model Open Dataset for Mental-disorder Analysis by Hanshu Cai et al
02-20-2020	A Convolutional Neural Network into graph space by Maxime Martineau et al
02-19-2020	Efficient Trainable Front-Ends for Neural Speech Enhancement by Jonah Casebeer et al
02-19-2020	NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion by Aritran Piplai et al
02-19-2020	Scalable Constrained Bayesian Optimization by David Eriksson et al
02-19-2020	Towards Physically-consistent, Data-driven Models of Convection by Tom Beucler et al
02-19-2020	Adaptive Sampling Distributed Stochastic Variance Reduced Gradient for Heterogeneous Distributed Datasets by Ilqar Ramazanli et al
02-21-2020	PIANO: A Fast Parallel Iterative Algorithm for Multinomial and Sparse Multinomial Logistic Regression by R. Jyothi et al
02-21-2020	Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming by Vo Nguyen Le Duy et al
02-21-2020	Convolutional Tensor-Train LSTM for Spatio-temporal Learning by Jiahao Su et al
02-21-2020	Disentangling Controllable Object through Video Prediction Improves Visual Reinforcement Learning by Yuanyi Zhong et al
02-20-2020	Do We Need Zero Training Loss After Achieving Zero Training Error? by Takashi Ishida et al
02-18-2020	A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models by Ziyu Wang et al
02-20-2020	Comparing Different Deep Learning Architectures for Classification of Chest Radiographs by Keno K. Bressem et al
02-18-2020	Online Parameter Estimation for Safety-Critical Systems with Gaussian Processes by Mouhyemen Khan et al
02-19-2020	A Fixed point view: A Model-Based Clustering Framework by Jianhao Ding et al
02-18-2020	Predicting Many Properties of a Quantum System from Very Few Measurements by Hsin-Yuan Huang et al
02-20-2020	Kernel and Rich Regimes in Overparametrized Models by Blake Woodworth et al
02-21-2020	Bidirectional Generative Modeling Using Adversarial Gradient Estimation by Xinwei Shen et al
02-19-2020	Learning to Walk in the Real World with Minimal Human Effort by Sehoon Ha et al
02-20-2020	A Comparative Study of Western and Chinese Classical Music based on Soundscape Models by Jianyu Fan et al
02-21-2020	Learning Optimal Classification Trees: Strong Max-Flow Formulations by Sina Aghaei et al
02-21-2020	Few-shot acoustic event detection via meta-learning by Bowen Shi et al
02-19-2020	Weakly-supervised Multi-output Regression via Correlated Gaussian Processes by Seokhyun Chung et al
02-19-2020	AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks by Xiao Wang et al
02-19-2020	Fine tuning U-Net for ultrasound image segmentation: which layers? by Mina Amiri et al
02-20-2020	A survey on Semi-, Self- and Unsupervised Techniques in Image Classification by Lars Schmarje et al
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