2020.6.29 Learning papers

06-23-2020	Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures by Julien Launay et al
06-24-2020	Compositional Explanations of Neurons by Jesse Mu et al
06-23-2020	Disentangling by Subspace Diffusion by David Pfau et al
06-24-2020	Quantifying Differences in Reward Functions by Adam Gleave et al
06-24-2020	Unsupervised Cross-lingual Representation Learning for Speech Recognition by Alexis Conneau et al
06-23-2020	Automatic Data Augmentation for Generalization in Deep Reinforcement Learning by Roberta Raileanu et al
06-23-2020	Simple and Effective VAE Training with Calibrated Decoders by Oleh Rybkin et al
06-24-2020	Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers by Benjamin Eysenbach et al
06-23-2020	Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework by Mehdi Ali et al
06-24-2020	The NetHack Learning Environment by Heinrich Küttler et al
06-24-2020	Investor Emotions and Earnings Announcements by Domonkos F. Vamossy
06-23-2020	Fairness without Demographics through Adversarially Reweighted Learning by Preethi Lahoti et al
06-25-2020	Smooth Adversarial Training by Cihang Xie et al
06-24-2020	Labelling unlabelled videos from scratch with multi-modal self-supervision by Yuki M. Asano et al
06-25-2020	Space-Time Correspondence as a Contrastive Random Walk by Allan Jabri et al
06-24-2020	AutoNCP: Automated pipelines for accurate confidence intervals by Yao Zhang et al
06-24-2020	Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case by Shuai Zhang et al
06-24-2020	On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools by Ryan Vogt et al
06-25-2020	Geometric Prediction: Moving Beyond Scalars by Raphael J. L. Townshend et al
06-25-2020	Taming GANs with Lookahead by Tatjana Chavdarova et al
06-25-2020	Towards Differentially Private Text Representations by Lingjuan Lyu et al
06-24-2020	Extracting the main trend in a dataset: the Sequencer algorithm by Dalya Baron et al
06-23-2020	When Do Neural Networks Outperform Kernel Methods? by Behrooz Ghorbani et al
06-25-2020	Does Adversarial Transferability Indicate Knowledge Transferability? by Kaizhao Liang et al
06-24-2020	DISK: Learning local features with policy gradient by Michał J. Tyszkiewicz et al
06-24-2020	Minimum Cost Active Labeling by Hang Qiu et al
06-23-2020	Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors by Karl Pertsch et al
06-24-2020	Subpopulation Data Poisoning Attacks by Matthew Jagielski et al
06-25-2020	One Thousand and One Hours: Self-driving Motion Prediction Dataset by John Houston et al
06-23-2020	Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications by Imon Banerjee et al
06-25-2020	Can 3D Adversarial Logos Cloak Humans? by Tianlong Chen et al
06-24-2020	Hierarchically Local Tasks and Deep Convolutional Networks by Arturo Deza et al
06-24-2020	On Mitigating Random and Adversarial Bit Errors by David Stutz et al
06-25-2020	Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks by Peng Zhou et al
06-23-2020	Towards Understanding Hierarchical Learning: Benefits of Neural Representations by Minshuo Chen et al
06-24-2020	Vector-Matrix-Vector Queries for Solving Linear Algebra, Statistics, and Graph Problems by Cyrus Rashtchian et al
06-23-2020	A Constructive, Type-Theoretic Approach to Regression via Global Optimisation by Dan R. Ghica et al
06-24-2020	Time for a Background Check! Uncovering the impact of Background Features on Deep Neural Networks by Vikash Sehwag et al
06-24-2020	Large-scale detection and categorization of oil spills from SAR images with deep learning by Filippo Maria Bianchi et al
06-25-2020	Backdoor Attacks on Facial Recognition in the Physical World by Emily Wenger et al
06-23-2020	Realistic Adversarial Data Augmentation for MR Image Segmentation by Chen Chen et al
06-25-2020	Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures by Sergiy Zhuk et al
06-25-2020	Time-varying Graph Representation Learning via Higher-Order Skip-Gram with Negative Sampling by Simone Piaggesi et al
06-25-2020	Deep Residual 3D U-Net for Joint Segmentation and Texture Classification of Nodules in Lung by Alexandr G. Rassadin
06-23-2020	Experience Replay with Likelihood-free Importance Weights by Samarth Sinha et al
06-25-2020	Epoch-evolving Gaussian Process Guided Learning by Jiabao Cui et al
06-25-2020	Dynamically Mitigating Data Discrepancy with Balanced Focal Loss for Replay Attack Detection by Yongqiang Dou et al
06-24-2020	A Novel and Reliable Deep Learning Web-Based Tool to Detect COVID-19 Infection from Chest CT-Scan by Abdolkarim Saeedi et al
06-25-2020	Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation by Rasool Fakoor et al
06-23-2020	Learning Potentials of Quantum Systems using Deep Neural Networks by Arijit Sehanobish et al
06-23-2020	Real Time Speech Enhancement in the Waveform Domain by Alexandre Defossez et al
06-25-2020	Parametric Instance Classification for Unsupervised Visual Feature Learning by Yue Cao et al
06-25-2020	Anomaly Detection using Deep Reconstruction and Forecasting for Autonomous Systems by Nadarasar Bahavan et al
06-25-2020	Neural Machine Translation For Paraphrase Generation by Alex Sokolov et al
06-24-2020	Explainable CNN-attention Networks (C-Attention Network) for Automated Detection of Alzheimers Disease by Ning Wang et al
06-23-2020	Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks by Francesco Croce et al
06-24-2020	Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences by Erdem Bıyık et al
06-25-2020	Empirical Analysis of Overfitting and Mode Drop in GAN Training by Yasin Yazici et al
06-24-2020	Blacklight: Defending Black-Box Adversarial Attacks on Deep Neural Networks by Huiying Li et al
06-24-2020	Topological Insights in Sparse Neural Networks by Shiwei Liu et al
06-23-2020	Principal Component Networks: Parameter Reduction Early in Training by Roger Waleffe et al
06-23-2020	Automated Detection of COVID-19 from CT Scans Using Convolutional Neural Networks by Rohit Lokwani et al
06-25-2020	Layout Generation and Completion with Self-attention by Kamal Gupta et al
06-24-2020	Class-Similarity Based Label Smoothing for Generalized Confidence Calibration by Chihuang Liu et al
06-26-2020	Not all Failure Modes are Created Equal: Training Deep Neural Networks for Explicable (Mis)Classification by Alberto Olmo et al
06-25-2020	Machine-Learning Driven Drug Repurposing for COVID-19 by Semih Cantürk et al
06-25-2020	Scalable Spectral Clustering with Nystrom Approximation: Practical and Theoretical Aspects by Farhad Pourkamali-Anaraki
06-24-2020	Online Dense Subgraph Discovery via Blurred-Graph Feedback by Yuko Kuroki et al
06-25-2020	A Closer Look at Invalid Action Masking in Policy Gradient Algorithms by Shengyi Huang et al
06-25-2020	Sparse Convex Optimization via Adaptively Regularized Hard Thresholding by Kyriakos Axiotis et al
06-24-2020	Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction by Esther Puyol-Antón et al
06-23-2020	Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometry Constrained Keypoints in Real-Time by Nils Gählert et al
06-23-2020	Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation by Alisa Liu et al
06-23-2020	NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks by Eugene Lee et al
06-25-2020	Noise, overestimation and exploration in Deep Reinforcement Learning by Rafael Stekolshchik
06-23-2020	Feature Expansive Reward Learning: Rethinking Human Input by Andreea Bobu et al
06-26-2020	Pre-training via Paraphrasing by Mike Lewis et al
06-26-2020	Orthogonal Deep Models As Defense Against Black-Box Attacks by Mohammad A. A. K. Jalwana et al
06-25-2020	Recurrent Quantum Neural Networks by Johannes Bausch
06-23-2020	A Note on Over-Smoothing for Graph Neural Networks by Chen Cai et al
06-23-2020	Learning-to-Fly: Learning-based Collision Avoidance for Scalable Urban Air Mobility by Alëna Rodionova et al
06-23-2020	Image-to-image Mapping with Many Domains by Sparse Attribute Transfer by Matthew Amodio et al
06-24-2020	Generative causal explanations of black-box classifiers by Matthew O'Shaughnessy et al
06-24-2020	Normalized Loss Functions for Deep Learning with Noisy Labels by Xingjun Ma et al
06-25-2020	DeltaGrad: Rapid retraining of machine learning models by Yinjun Wu et al
06-23-2020	Rescaling Egocentric Vision by Dima Damen et al
06-23-2020	NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search by Rameswar Panda et al
06-24-2020	Machine learning the real discriminant locus by Edgar A. Bernal et al
06-23-2020	Statistical Mechanics of Generalization in Kernel Regression by Abdulkadir Canatar et al
06-25-2020	Learning Task-General Representations with Generative Neuro-Symbolic Modeling by Reuben Feinman et al
06-23-2020	Can you tell? SSNet -- a Sagittal Stratum-inspired Neural Network Framework for Sentiment Analysis by Apostol Vassilev et al
06-24-2020	OvA-INN: Continual Learning with Invertible Neural Networks by G. Hocquet et al
06-24-2020	Crossmodal Language Grounding in an Embodied Neurocognitive Model by Stefan Heinrich et al
06-24-2020	The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification by Christian Tjandraatmadja et al
06-24-2020	Differentiable Window for Dynamic Local Attention by Thanh-Tung Nguyen et al
06-23-2020	Supervised Understanding of Word Embeddings by Halid Ziya Yerebakan et al
06-24-2020	On the Empirical Neural Tangent Kernel of Standard Finite-Width Convolutional Neural Network Architectures by Maxim Samarin et al
06-23-2020	Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation by Li Zhong et al
06-24-2020	Accelerated Large Batch Optimization of BERT Pretraining in 54 minutes by Shuai Zheng et al
06-24-2020	Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL by Lucas Zimmer et al
06-24-2020	Feedback Graph Attention Convolutional Network for Medical Image Enhancement by Xiaobin Hu et al
06-24-2020	Reducing Overestimation Bias by Increasing Representation Dissimilarity in Ensemble Based Deep Q-Learning by Hassam Ullah Sheikh et al
06-23-2020	Post-hoc Calibration of Neural Networks by Amir Rahimi et al
06-26-2020	Object-Centric Learning with Slot Attention by Francesco Locatello et al
06-26-2020	A Loss Function for Generative Neural Networks Based on Watsons Perceptual Model by Steffen Czolbe et al
06-23-2020	Logical Neural Networks by Ryan Riegel et al
06-24-2020	Penalized Langevin dynamics with vanishing penalty for smooth and log-concave targets by Avetik Karagulyan et al
06-24-2020	Turbocharging Treewidth-Bounded Bayesian Network Structure Learning by Vaidyanathan P. R. et al
06-24-2020	Dynamic Functional Connectivity and Graph Convolution Network for Alzheimers Disease Classification by Xingwei An et al
06-26-2020	A survey of loss functions for semantic segmentation by Shruti Jadon
06-23-2020	Non-Convex Structured Phase Retrieval by Namrata Vaswani
06-24-2020	Movement Tracking by Optical Flow Assisted Inertial Navigation by Lassi Meronen et al
06-24-2020	PhishGAN: Data Augmentation and Identification of Homoglpyh Attacks by Joon Sern Lee et al
06-24-2020	Malignancy-Aware Follow-Up Volume Prediction for Lung Nodules by Yamin Li et al
06-26-2020	RPM-Net: Recurrent Prediction of Motion and Parts from Point Cloud by Zihao Yan et al
06-24-2020	Efficient Constituency Parsing by Pointing by Thanh-Tung Nguyen et al
06-23-2020	Learning Disentangled Representations of Video with Missing Data by Armand Comas Massague et al
06-23-2020	Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping by Dongruo Zhou et al
06-23-2020	Calibration of Neural Networks using Splines by Kartik Gupta et al
06-24-2020	Improving task-specific representation via 1M unlabelled images without any extra knowledge by Aayush Bansal
06-24-2020	Distributionally-Robust Machine Learning Using Locally Differentially-Private Data by Farhad Farokhi
06-24-2020	Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness by Linxi Jiang et al
06-25-2020	Graph Optimal Transport for Cross-Domain Alignment by Liqun Chen et al
06-23-2020	Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time by Jerry Li et al
06-26-2020	AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation by David Kügler et al
06-24-2020	Gamma Boltzmann Machine for Simultaneously Modeling Linear- and Log-amplitude Spectra by Toru Nakashika et al
06-25-2020	Deep Partition Aggregation: Provable Defense against General Poisoning Attacks by Alexander Levine et al
06-25-2020	Supermasks in Superposition by Mitchell Wortsman et al
06-24-2020	Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping by Shashanka Ubaru et al
06-26-2020	Training Convolutional ReLU Neural Networks in Polynomial Time: Exact Convex Optimization Formulations by Tolga Ergen et al
06-23-2020	RayS: A Ray Searching Method for Hard-label Adversarial Attack by Jinghui Chen et al
06-24-2020	RL Unplugged: Benchmarks for Offline Reinforcement Learning by Caglar Gulcehre et al
06-23-2020	Non-parametric spatially constrained local prior for scene parsing on real-world data by Ligang Zhang
06-25-2020	Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning and Dual-UNet by Hongxu Yang et al
06-25-2020	Pushing the Limit of Unsupervised Learning for Ultrasound Image Artifact Removal by Shujaat Khan et al
06-26-2020	Evaluation of Text Generation: A Survey by Asli Celikyilmaz et al
06-25-2020	Prior-guided Bayesian Optimization by Artur Souza et al
06-24-2020	Comprehensive Information Integration Modeling Framework for Video Titling by Shengyu Zhang et al
06-24-2020	Practical applications of metric space magnitude and weighting vectors by Eric Bunch et al

06-25-2020	Deepfake Detection using Spatiotemporal Convolutional Networks by Oscar de Lima et al
06-26-2020	Text Detection on Roughly Placed Books by Leveraging a Learning-based Model Trained with Another Domain Data by Riku Anegawa et al
06-25-2020	PAC-Bayesian Bound for the Conditional Value at Risk by Zakaria Mhammedi et al
06-23-2020	Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI by Christoph Baur et al
06-23-2020	Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation by Aaron Sonabend W et al
06-24-2020	Pareto Active Learning with Gaussian Processes and Adaptive Discretization by Andi Nika et al
06-23-2020	Deep Generative Model-based Quality Control for Cardiac MRI Segmentation by Shuo Wang et al
06-25-2020	SOAC: The Soft Option Actor-Critic Architecture by Chenghao Li et al
06-26-2020	A Framework for Reinforcement Learning and Planning by Thomas M. Moerland et al
06-23-2020	ELSIM: End-to-end learning of reusable skills through intrinsic motivation by Arthur Aubret et al
06-24-2020	Feature-dependent Cross-Connections in Multi-Path Neural Networks by Dumindu Tissera et al
06-23-2020	Joint Detection and Multi-Object Tracking with Graph Neural Networks by Yongxin Wang et al
06-23-2020	Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads by Jialin Ding et al
06-23-2020	Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron by Zhenyu Shou et al
06-23-2020	Safe Learning under Uncertain Objectives and Constraints by Mohammad Fereydounian et al
06-24-2020	Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders by Agostina J Larrazabal et al
06-24-2020	DeepAbstract: Neural Network Abstraction for Accelerating Verification by Pranav Ashok et al
06-23-2020	Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View by Shen Wang et al
06-23-2020	Approximation Algorithms for Sparse Principal Component Analysis by Agniva Chowdhury et al
06-24-2020	NINEPINS: Nuclei Instance Segmentation with Point Annotations by Ting-An Yen et al
06-24-2020	Strictly Batch Imitation Learning by Energy-based Distribution Matching by Daniel Jarrett et al
06-23-2020	Automating Text Naturalness Evaluation of NLG Systems by Erion Çano et al
06-26-2020	Computing Light Transport Gradients using the Adjoint Method by Jos Stam
06-26-2020	Intrinsic Reward Driven Imitation Learning via Generative Model by Xingrui Yu et al
06-25-2020	Perspective Plane Program Induction from a Single Image by Yikai Li et al
06-26-2020	Q-Learning with Differential Entropy of Q-Tables by Tung D. Nguyen et al
06-26-2020	An Automatic Reader of Identity Documents by Filippo Attivissimo et al
06-23-2020	Classification Performance Metric for Imbalance Data Based on Recall and Selectivity Normalized in Class Labels by Robert Burduk
06-26-2020	A Unified Framework for Analyzing and Detecting Malicious Examples of DNN Models by Kaidi Jin et al
06-24-2020	Graph Policy Network for Transferable Active Learning on Graphs by Shengding Hu et al
06-24-2020	Distribution-Based Invariant Deep Networks for Learning Meta-Features by Gwendoline De Bie et al
06-26-2020	Domain Contrast for Domain Adaptive Object Detection by Feng Liu et al
06-26-2020	Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling by Chengliang Dai et al
06-24-2020	The Boomerang Sampler by Joris Bierkens et al
06-23-2020	Spherical Perspective on Learning with Batch Norm by Simon Roburin et al
06-24-2020	Inverse Active Sensing: Modeling and Understanding Timely Decision-Making by Daniel Jarrett et al
06-24-2020	AReLU: Attention-based Rectified Linear Unit by Dengsheng Chen et al
06-24-2020	FastSpec: Scalable Generation and Detection of Spectre Gadgets Using Neural Embeddings by M. Caner Tol et al
06-25-2020	Unsupervised Video Decomposition using Spatio-temporal Iterative Inference by Polina Zablotskaia et al
06-25-2020	SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness by Mikhail Yurochkin et al
06-25-2020	Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance by Gagan Bansal et al
06-25-2020	Proper Network Interpretability Helps Adversarial Robustness in Classification by Akhilan Boopathy et al
06-26-2020	What can I do here? A Theory of Affordances in Reinforcement Learning by Khimya Khetarpal et al
06-25-2020	The huge Package for High-dimensional Undirected Graph Estimation in R by Tuo Zhao et al
06-25-2020	Global Convergence and Induced Kernels of Gradient-Based Meta-Learning with Neural Nets by Haoxiang Wang et al
06-23-2020	Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization by Paul Barde et al
06-26-2020	Computing the full signature kernel as the solution of a Goursat problem by Thomas Cass et al
06-23-2020	Self-learning eigenstates with a quantum processor by Andrey Kardashin et al
06-23-2020	A Parameterized Family of Meta-Submodular Functions by Mehrdad Ghadiri et al
06-23-2020	Control-Aware Representations for Model-based Reinforcement Learning by Brandon Cui et al
06-24-2020	Ensuring Learning Guarantees on Concept Drift Detection with Statistical Learning Theory by Lucas Pagliosa et al
06-26-2020	Learning predictive representations in autonomous driving to improve deep reinforcement learning by Daniel Graves et al
06-25-2020	Fast and stable MAP-Elites in noisy domains using deep grids by Manon Flageat et al
06-26-2020	Ensemble Transfer Learning for Emergency Landing Field Identification on Moderate Resource Heterogeneous Kubernetes Cluster by Andreas Klos et al
06-24-2020	Labeled Optimal Partitioning by Toby Dylan Hocking et al
06-25-2020	The Gaussian equivalence of generative models for learning with two-layer neural networks by Sebastian Goldt et al
06-23-2020	Show me the Way: Intrinsic Motivation from Demonstrations by Léonard Hussenot et al
06-26-2020	Critic Regularized Regression by Ziyu Wang et al
06-25-2020	Neural Decomposition: Functional ANOVA with Variational Autoencoders by Kaspar Märtens et al
06-26-2020	Transfer Learning via ℓ1ℓ1 Regularization by Masaaki Takada et al
06-25-2020	Average-case Complexity of Teaching Convex Polytopes via Halfspace Queries by Akash Kumar et al
06-23-2020	Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes by Yi Tian et al
06-25-2020	Fully Convolutional Open Set Segmentation by Hugo Oliveira et al
06-24-2020	Dynamic of Stochastic Gradient Descent with State-Dependent Noise by Qi Meng et al
06-23-2020	Combinatorial Pure Exploration of Dueling Bandit by Wei Chen et al
06-26-2020	Online 3D Bin Packing with Constrained Deep Reinforcement Learning by Hang Zhao et al
06-26-2020	On the Generalization Benefit of Noise in Stochastic Gradient Descent by Samuel L. Smith et al
06-23-2020	Understanding Deep Architectures with Reasoning Layer by Xinshi Chen et al
06-23-2020	Multi-view Drone-based Geo-localization via Style and Spatial Alignment by Siyi Hu et al
06-23-2020	Modeling Knowledge Acquisition from Multiple Learning Resource Types by Siqian Zhao et al
06-24-2020	The Max-Cut Decision Tree: Improving on the Accuracy and Running Time of Decision Trees by Jonathan Bodine et al
06-26-2020	Continual Learning from the Perspective of Compression by Xu He et al
06-25-2020	Active Online Domain Adaptation by Yining Chen et al
06-25-2020	CognitiveCNN: Mimicking Human Cognitive Models to resolve Texture-Shape Bias by Satyam Mohla et al
06-26-2020	Stochastic Differential Equations with Variational Wishart Diffusions by Martin Jørgensen et al
06-26-2020	Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments by Young-Jin Park et al
06-25-2020	Modeling Baroque Two-Part Counterpoint with Neural Machine Translation by Eric P. Nichols et al
06-26-2020	Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? by Angelos Filos et al
06-23-2020	Learning the Effective Dynamics of Complex Multiscale Systems by Pantelis R. Vlachas et al
06-23-2020	A self-supervised neural-analytic method to predict the evolution of COVID-19 in Romania by Radu D. Stochiţoiu et al
06-23-2020	BETULA: Numerically Stable CF-Trees for BIRCH Clustering by Andreas Lang et al
06-25-2020	Adaptive additive classification-based loss for deep metric learning by Istvan Fehervari et al
06-24-2020	Deeply Equal-Weighted Subset Portfolios by Sang Il Lee
06-24-2020	Multi-marginal optimal transport and probabilistic graphical models by Isabel Haasler et al
06-25-2020	MTAdam: Automatic Balancing of Multiple Training Loss Terms by Itzik Malkiel et al
06-23-2020	A Framework for Fairness in Two-Sided Marketplaces by Kinjal Basu et al
06-23-2020	Thalamocortical motor circuit insights for more robust hierarchical control of complex sequences by Laureline Logiaco et al
06-24-2020	Consistency of Anchor-based Spectral Clustering by Henry-Louis de Kergorlay et al
06-24-2020	Bayesian Sampling Bias Correction: Training with the Right Loss Function by L. Le Folgoc et al
06-26-2020	ProVe -- Self-supervised pipeline for automated product replacement and cold-starting based on neural language models by Andrei Ionut Damian et al
06-25-2020	Green Machine Learning via Augmented Gaussian Processes and Multi-Information Source Optimization by Antonio Candelieri et al
06-26-2020	Learning Diverse Latent Representations for Improving the Resilience to Adversarial Attacks by Ali Mirzaeian et al
06-23-2020	Calibration of Shared Equilibria in General Sum Partially Observable Markov Games by Nelson Vadori et al
06-24-2020	Effective Elastic Scaling of Deep Learning Workloads by Vaibhav Saxena et al
06-25-2020	Tensor Programs II: Neural Tangent Kernel for Any Architecture by Greg Yang
06-24-2020	On Fair Selection in the Presence of Implicit Variance by Vitalii Emelianov et al
06-23-2020	Learning Gradient Boosted Multi-label Classification Rules by Michael Rapp et al
06-26-2020	MMF: A loss extension for feature learning in open set recognition by Jingyun Jia et al
06-25-2020	Sequence-to-sequence models for workload interference by David Buchaca Prats et al
06-25-2020	A Theoretical Framework for Target Propagation by Alexander Meulemans et al
06-24-2020	Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning by Johnathon Shook et al
06-23-2020	Design and Evaluation of Personalized Free Trials by Hema Yoganarasimhan et al
06-23-2020	Befriending The Byzantines Through Reputation Scores by Jayanth Regatti et al
06-26-2020	The Ramifications of Making Deep Neural Networks Compact by Nandan Kumar Jha et al
06-26-2020	Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift by Alex J. Chan et al
06-24-2020	Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds by Yingxue Zhou et al
06-24-2020	When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence by Ziwei Guan et al
06-25-2020	A New Modal Autoencoder for Functionally Independent Feature Extraction by Yuzhu Guo et al
06-26-2020	Covariance-engaged Classification of Sets via Linear Programming by Zhao Ren et al
06-23-2020	Using Deep Learning and Explainable Artificial Intelligence in Patients Choices of Hospital Levels by Lichin Chen et al
06-23-2020	A General Class of Transfer Learning Regression without Implementation Cost by Shunya Minami et al
06-26-2020	Building powerful and equivariant graph neural networks with message-passing by Clement Vignac et al
06-23-2020	Online Competitive Influence Maximization by Jinhang Zuo et al
06-23-2020	Environment Shaping in Reinforcement Learning using State Abstraction by Parameswaran Kamalaruban et al
06-24-2020	Ensemble Kernel Methods, Implicit Regularization and Determinental Point Processes by Joachim Schreurs et al
06-25-2020	The Effect of Optimization Methods on the Robustness of Out-of-Distribution Detection Approaches by Vahdat Abdelzad et al
06-23-2020	Variational Orthogonal Features by David R. Burt et al
06-24-2020	Simple and Scalable Parallelized Bayesian Optimization by Masahiro Nomura
06-24-2020	Diffusion-Weighted Magnetic Resonance Brain Images Generation with Generative Adversarial Networks and Variational Autoencoders: A Comparison Study by Alejandro Ungría Hirte et al

06-24-2020	Hyperparameter Ensembles for Robustness and Uncertainty Quantification by Florian Wenzel et al
06-23-2020	Gaining insight into SARS-CoV-2 infection and COVID-19 severity using self-supervised edge features and Graph Neural Networks by Arijit Sehanobish et al
06-24-2020	Randomized Block-Diagonal Preconditioning for Parallel Learning by Celestine Mendler-Dünner et al
06-25-2020	Asynchronous Multi Agent Active Search by Ramina Ghods et al
06-26-2020	Layerwise learning for quantum neural networks by Andrea Skolik et al
06-26-2020	Understanding Notions of Stationarity in Non-Smooth Optimization by Jiajin Li et al
06-24-2020	Approximating a Target Distribution using Weight Queries by Nadav Barak et al
06-24-2020	Predicting First Passage Percolation Shapes Using Neural Networks by Sebastian Rosengren
06-24-2020	Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks by Weilin Cong et al
06-24-2020	Unified Reinforcement Q-Learning for Mean Field Game and Control Problems by Andrea Angiuli et al
06-25-2020	Target Consistency for Domain Adaptation: when Robustness meets Transferability by Yassine Ouali et al
06-26-2020	Policy-GNN: Aggregation Optimization for Graph Neural Networks by Kwei-Herng Lai et al
06-23-2020	not-MIWAE: Deep Generative Modelling with Missing not at Random Data by Niels Bruun Ipsen et al
06-26-2020	On Regret with Multiple Best Arms by Yinglun Zhu et al
06-23-2020	Non-Parametric Graph Learning for Bayesian Graph Neural Networks by Soumyasundar Pal et al
06-23-2020	A Mean-Field Theory for Learning the Sch\{o}nberg Measure of Radial Basis Functions by Masoud Badiei Khuzani et al
06-24-2020	Fairness with Overlapping Groups by Forest Yang et al
06-24-2020	Uncertainty in Neural Relational Inference Trajectory Reconstruction by Vasileios Karavias et al
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