2020.6.22 Learning papers

06-17-2020	Big Self-Supervised Models are Strong Semi-Supervised Learners by Ting Chen et al
06-17-2020	Noise or Signal: The Role of Image Backgrounds in Object Recognition by Kai Xiao et al
06-18-2020	Learning Invariant Representations for Reinforcement Learning without Reconstruction by Amy Zhang et al
06-16-2020	New Interpretations of Normalization Methods in Deep Learning by Jiacheng Sun et al
06-17-2020	Introduction to Machine Learning for Accelerator Physics by Daniel Ratner
06-16-2020	Accelerating Online Reinforcement Learning with Offline Datasets by Ashvin Nair et al
06-16-2020	RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real by Kanishka Rao et al
06-16-2020	A One-Pass Private Sketch for Most Machine Learning Tasks by Benjamin Coleman et al
06-17-2020	Efficient Execution of Quantized Deep Learning Models: A Compiler Approach by Animesh Jain et al
06-18-2020	Temporal Graph Networks for Deep Learning on Dynamic Graphs by Emanuele Rossi et al
06-17-2020	Implicit Neural Representations with Periodic Activation Functions by Vincent Sitzmann et al
06-17-2020	Deep Learning Meets SAR by Xiao Xiang Zhu et al
06-17-2020	Neural Manifold Ordinary Differential Equations by Aaron Lou et al
06-18-2020	Zero-Shot Learning with Common Sense Knowledge Graphs by Nihal V. Nayak et al
06-18-2020	Riemannian Continuous Normalizing Flows by Emile Mathieu et al
06-16-2020	Understanding and mitigating exploding inverses in invertible neural networks by Jens Behrmann et al
06-18-2020	Diverse Image Generation via Self-Conditioned GANs by Steven Liu et al
06-17-2020	Universal Lower-Bounds on Classification Error under Adversarial Attacks and Random Corruption by Elvis Dohmatob
06-16-2020	Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised Performance by Leslie N. Smith et al
06-18-2020	When Does Preconditioning Help or Hurt Generalization? by Shun-ichi Amari et al
06-16-2020	Hausdorff Dimension, Stochastic Differential Equations, and Generalization in Neural Networks by Umut Şimşekli et al
06-18-2020	Latent Video Transformer by Ruslan Rakhimov et al
06-18-2020	Spin-Weighted Spherical CNNs by Carlos Esteves et al
06-17-2020	High-Fidelity Generative Image Compression by Fabian Mentzer et al
06-16-2020	How Much Can I Trust You? -- Quantifying Uncertainties in Explaining Neural Networks by Kirill Bykov et al
06-18-2020	DREAM: Deep Regret minimization with Advantage baselines and Model-free learning by Eric Steinberger et al
06-17-2020	Self-supervised Learning on Graphs: Deep Insights and New Direction by Wei Jin et al
06-18-2020	Automatic Speech Recognition Benchmark for Air-Traffic Communications by Juan Zuluaga-Gomez et al
06-18-2020	Shapeshifter Networks: Cross-layer Parameter Sharing for Scalable and Effective Deep Learning by Bryan A. Plummer et al
06-16-2020	Untangling tradeoffs between recurrence and self-attention in neural networks by Giancarlo Kerg et al
06-16-2020	Progressive Skeletonization: Trimming more fat from a network at initialization by Pau de Jorge et al
06-18-2020	What Do Neural Networks Learn When Trained With Random Labels? by Hartmut Maennel et al
06-17-2020	Overcoming Statistical Shortcuts for Open-ended Visual Counting by Corentin Dancette et al
06-16-2020	Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting by Giorgos Bouritsas et al
06-18-2020	Online Deep Clustering for Unsupervised Representation Learning by Xiaohang Zhan et al
06-17-2020	Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context by Donald Martin et al
06-16-2020	Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining by Austin Tripp et al
06-17-2020	LSD-C: Linearly Separable Deep Clusters by Sylvestre-Alvise Rebuffi et al
06-17-2020	Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness by Jeremiah Zhe Liu et al
06-18-2020	A Tutorial on VAEs: From Bayes Rule to Lossless Compression by Ronald Yu
06-17-2020	A Practical Online Method for Distributionally Deep Robust Optimization by Qi Qi et al
06-17-2020	Fair k-Means Clustering by Mehrdad Ghadiri et al
06-16-2020	Semantic Curiosity for Active Visual Learning by Devendra Singh Chaplot et al
06-18-2020	Explainable and Discourse Topic-aware Neural Language Understanding by Yatin Chaudhary et al
06-17-2020	XRayGAN: Consistency-preserving Generation of X-ray Images from Radiology Reports by Xingyi Yang et al
06-18-2020	SXL: Spatially explicit learning of geographic processes with auxiliary tasks by Konstantin Klemmer et al
06-17-2020	Revisiting complexity and the bias-variance tradeoff by Raaz Dwivedi et al
06-16-2020	Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering by Zihao Zhu et al
06-18-2020	Forward Prediction for Physical Reasoning by Rohit Girdhar et al
06-16-2020	Improved Techniques for Training Score-Based Generative Models by Yang Song et al
06-16-2020	Learning a functional control for high-frequency finance by Laura Leal et al
06-18-2020	Set Distribution Networks: a Generative Model for Sets of Images by Shuangfei Zhai et al
06-16-2020	Density of States Estimation for Out-of-Distribution Detection by Warren R. Morningstar et al
06-16-2020	Isometric Autoencoders by Matan Atzmon et al
06-18-2020	Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains by Matthew Tancik et al
06-18-2020	Unsupervised out-of-distribution detection using kernel density estimation by Ertunc Erdil et al
06-18-2020	Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax by Yu Li et al
06-17-2020	Semantic Visual Navigation by Watching YouTube Videos by Matthew Chang et al
06-17-2020	Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF by Atanas Mirchev et al
06-16-2020	Density Deconvolution with Normalizing Flows by Tim Dockhorn et al
06-18-2020	On the Robustness of Active Learning by Lukas Hahn et al
06-17-2020	Deeply Learned Spectral Total Variation Decomposition by Tamara G. Grossmann et al
06-17-2020	Stochastic Bandits with Linear Constraints by Aldo Pacchiano et al
06-17-2020	MOSQUITO-NET: A deep learning based CADx system for malaria diagnosis along with model interpretation using GradCam and class activation maps by Aayush Kumar et al
06-18-2020	On the Predictability of Pruning Across Scales by Jonathan S. Rosenfeld et al
06-16-2020	Gradient Amplification: An efficient way to train deep neural networks by Sunitha Basodi et al
06-18-2020	Contrastive learning of global and local features for medical image segmentation with limited annotations by Krishna Chaitanya et al
06-17-2020	SEAL: Segment-wise Extractive-Abstractive Long-form Text Summarization by Yao Zhao et al
06-18-2020	SatImNet: Structured and Harmonised Training Data for Enhanced Satellite Imagery Classification by Vasileios Syrris et al
06-16-2020	Structured and Localized Image Restoration by Thomas Eboli et al
06-17-2020	On the Learnability of Concepts: With Applications to Comparing Word Embedding Algorithms by Adam Sutton et al
06-17-2020	Rethinking Semi-Supervised Learning in VAEs by Tom Joy et al
06-17-2020	UV-Net: Learning from Curve-Networks and Solids by Pradeep Kumar Jayaraman et al
06-18-2020	A Review of 1D Convolutional Neural Networks toward Unknown Substance Identification in Portable Raman Spectrometer by M. Hamed Mozaffari et al
06-16-2020	Global Feature Aggregation for Accident Anticipation by Mishal Fatima et al
06-18-2020	Fully Test-time Adaptation by Entropy Minimization by Dequan Wang et al
06-17-2020	Multi-Domain Level Generation and Blending with Sketches via Example-Driven BSP and Variational Autoencoders by Sam Snodgrass et al
06-17-2020	MetaSDF: Meta-learning Signed Distance Functions by Vincent Sitzmann et al
06-16-2020	The limits of min-max optimization algorithms: convergence to spurious non-critical sets by Ya-Ping Hsieh et al
06-17-2020	GPIRT: A Gaussian Process Model for Item Response Theory by JBrandon Duck-Mayr et al
06-17-2020	Contrastive Learning for Weakly Supervised Phrase Grounding by Tanmay Gupta et al
06-17-2020	Adversarial Defense by Latent Style Transformations by Shuo Wang et al
06-18-2020	Probabilistic Fair Clustering by Seyed A. Esmaeili et al
06-17-2020	MIMICS: A Large-Scale Data Collection for Search Clarification by Hamed Zamani et al
06-16-2020	Noise2Inpaint: Learning Referenceless Denoising by Inpainting Unrolling by Burhaneddin Yaman et al
06-17-2020	Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes by Mike Gartrell et al
06-17-2020	MoFlow: An Invertible Flow Model for Generating Molecular Graphs by Chengxi Zang et al
06-16-2020	Multi-Precision Policy Enforced Training (MuPPET): A precision-switching strategy for quantised fixed-point training of CNNs by Aditya Rajagopal et al
06-17-2020	Political Advertising Dataset: the use case of the Polish 2020 Presidential Elections by Łukasz Augustyniak et al
06-17-2020	Housing Market Prediction Problem using Different Machine Learning Algorithms: A Case Study by Shashi Bhushan Jha et al
06-19-2020	From Discrete to Continuous Convolution Layers by Assaf Shocher et al
06-17-2020	Probabilistic orientation estimation with matrix Fisher distributions by D. Mohlin et al
06-16-2020	Dynamic Tensor Rematerialization by Marisa Kirisame et al
06-18-2020	Multi-Source Unsupervised Hyperparameter Optimization by Masahiro Nomura et al
06-17-2020	Fair Hierarchical Clustering by Sara Ahmadian et al
06-17-2020	Towards Recurrent Autoregressive Flow Models by John Mern et al
06-16-2020	Domain Adaptation with Morphologic Segmentation by Jonathan Klein et al
06-18-2020	The Clever Hans Effect in Anomaly Detection by Jacob Kauffmann et al
06-17-2020	A block coordinate descent optimizer for classification problems exploiting convexity by Ravi G. Patel et al
06-16-2020	PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models by Eyal Ben-David et al
06-18-2020	A dataset for complex activity recognition withmicro and macro activities in a cooking scenario by Paula Lago et al
06-17-2020	Using Wavelets and Spectral Methods to Study Patterns in Image-Classification Datasets by Roozbeh Yousefzadeh et al
06-17-2020	Optimizing Grouped Convolutions on Edge Devices by Perry Gibson et al
06-16-2020	Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts by Bertrand Charpentier et al
06-18-2020	SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation by Robert M. Gower et al
06-18-2020	Meta Learning in the Continuous Time Limit by Ruitu Xu et al
06-18-2020	Uncertainty in Gradient Boosting via Ensembles by Aleksei Ustimenko et al
06-16-2020	Improved Deep Point Cloud Geometry Compression by Maurice Quach et al
06-16-2020	Deterministic Inference of Neural Stochastic Differential Equations by Andreas Look et al
06-17-2020	Flows Succeed Where GANs Fail: Lessons from Low-Dimensional Data by Tianci Liu et al
06-16-2020	Reconstruction of turbulent data with deep generative models for semantic inpainting from TURB-Rot database by M. Buzzicotti et al
06-16-2020	Learning from Demonstration with Weakly Supervised Disentanglement by Yordan Hristov et al
06-16-2020	Learning the Redundancy-free Features for Generalized Zero-Shot Object Recognition by Zongyan Han et al
06-16-2020	Channel Relationship Prediction with Forget-Update Module for Few-shot Classification by Minglei Yuan et al
06-19-2020	Fair clustering via equitable group representations by Mohsen Abbasi et al
06-16-2020	Learning Visual Commonsense for Robust Scene Graph Generation by Alireza Zareian et al
06-17-2020	Neural Anisotropy Directions by Guillermo Ortiz-Jimenez et al
06-17-2020	Maximum Roaming Multi-Task Learning by Lucas Pascal et al
06-17-2020	Constraint-Based Regularization of Neural Networks by Benedict Leimkuhler et al
06-16-2020	Plug-and-Play Anomaly Detection with Expectation Maximization Filtering by Muhammad Umar Karim Khan et al
06-17-2020	Smoothed Analysis of Online and Differentially Private Learning by Nika Haghtalab et al
06-17-2020	Is Network the Bottleneck of Distributed Training? by Zhen Zhang et al
06-19-2020	Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates by Jeff Calder et al
06-16-2020	Learning About Objects by Learning to Interact with Them by Martin Lohmann et al
06-17-2020	Markovian RNN: An Adaptive Time Series Prediction Network with HMM-based Switching for Nonstationary Environments by Fatih Ilhan et al
06-17-2020	StatAssist & GradBoost: A Study on Optimal INT8 Quantization-aware Training from Scratch by Taehoon Kim et al
06-17-2020	Interface learning of multiphysics and multiscale systems by Shady E. Ahmed et al
06-16-2020	Gradient Alignment in Deep Neural Networks by Suraj Srinivas et al
06-17-2020	Mitosis Detection Under Limited Annotation: A Joint Learning Approach by Pushpak Pati et al
06-16-2020	Improving accuracy and speeding up Document Image Classification through parallel systems by Javier Ferrando et al
06-17-2020	Conversational Neuro-Symbolic Commonsense Reasoning by Forough Arabshahi et al
06-16-2020	UCSG-Net -- Unsupervised Discovering of Constructive Solid Geometry Tree by Kacper Kania et al
06-17-2020	Learning Colour Representations of Search Queries by Paridhi Maheshwari et al
06-19-2020	Frustratingly Simple Domain Generalization via Image Stylization by Nathan Somavarapu et al
06-17-2020	Learning to Track Dynamic Targets in Partially Known Environments by Heejin Jeong et al
06-19-2020	Denoising Diffusion Probabilistic Models by Jonathan Ho et al
06-18-2020	Detecting Affective Flow States of Knowledge Workers Using Physiological Sensors by Matthew Lee

06-16-2020	Fine-Tuning DARTS for Image Classification by Muhammad Suhaib Tanveer et al
06-16-2020	Topological defects and confinement with machine learning: the case of monopoles in compact electrodynamics by M. N. Chernodub et al
06-18-2020	Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect by Priyank Agrawal et al
06-19-2020	Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift by Qinming Zhang et al
06-16-2020	Task-agnostic Exploration in Reinforcement Learning by Xuezhou Zhang et al
06-16-2020	AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks by Yuesong Tian et al
06-18-2020	Neural Topic Modeling with Continual Lifelong Learning by Pankaj Gupta et al
06-17-2020	Self-Supervised Representation Learning for Visual Anomaly Detection by Rabia Ali et al
06-16-2020	Solving the Order Batching and Sequencing Problem using Deep Reinforcement Learning by Bram Cals et al
06-16-2020	Tell Me Something I Dont Know: Randomization Strategies for Iterative Data Mining by Sami Hanhijärvi et al
06-16-2020	Selective Question Answering under Domain Shift by Amita Kamath et al
06-18-2020	Deep Reinforcement Learning amidst Lifelong Non-Stationarity by Annie Xie et al
06-18-2020	Sparse GPU Kernels for Deep Learning by Trevor Gale et al
06-18-2020	Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features by Robin Tibor Schirrmeister et al
06-17-2020	Record fusion: A learning approach by Alireza Heidari et al
06-16-2020	Deep Multimodal Transfer-Learned Regression in Data-Poor Domains by Levi McClenny et al
06-18-2020	Exploring Weight Importance and Hessian Bias in Model Pruning by Mingchen Li et al
06-18-2020	Adversarially Trained Multi-Singer Sequence-To-Sequence Singing Synthesizer by Jie Wu et al
06-16-2020	Higher-Order Quantum Reservoir Computing by Quoc Hoan Tran et al
06-16-2020	Multi-Agent Reinforcement Learning for Adaptive User Association in Dynamic mmWave Networks by Mohamed Sana et al
06-17-2020	Learning to Detect 3D Reflection Symmetry for Single-View Reconstruction by Yichao Zhou et al
06-17-2020	Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations by Alexey Skrynnik et al
06-19-2020	NROWAN-DQN: A Stable Noisy Network with Noise Reduction and Online Weight Adjustment for Exploration by Shuai Han et al
06-17-2020	Delta Schema Network in Model-based Reinforcement Learning by Andrey Gorodetskiy et al
06-17-2020	Bayesian active learning for production, a systematic study and a reusable library by Parmida Atighehchian et al
06-17-2020	Green Simulation Assisted Reinforcement Learning with Model Risk for Biomanufacturing Learning and Control by Hua Zheng et al
06-18-2020	Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data by Sindy Löwe et al
06-17-2020	Competitive Mirror Descent by Florian Schäfer et al
06-16-2020	On the Computational Power of Transformers and Its Implications in Sequence Modeling by Satwik Bhattamishra et al
06-19-2020	Concatenated Attention Neural Network for Image Restoration by Tian YingJie et al
06-19-2020	Learning to Prove from Synthetic Theorems by Eser Aygün et al
06-18-2020	Hyperparameter Analysis for Image Captioning by Amish Patel et al
06-16-2020	SPEED: Secure, PrivatE, and Efficient Deep learning by Arnaud Grivet Sébert et al
06-16-2020	A generalizable saliency map-based interpretation of model outcome by Shailja Thakur et al
06-17-2020	Fast Object Classification and Meaningful Data Representation of Segmented Lidar Instances by Lukas Hahn et al
06-16-2020	Automatic Curriculum Learning through Value Disagreement by Yunzhi Zhang et al
06-19-2020	Deep Transformation-Invariant Clustering by Tom Monnier et al
06-18-2020	Effective Formal Verification of Neural Networks using the Geometry of Linear Regions by Haitham Khedr et al
06-16-2020	Real-time 3D Nanoscale Coherent Imaging via Physics-aware Deep Learning by Henry Chan et al
06-19-2020	Emotion Recognition on large video dataset based on Convolutional Feature Extractor and Recurrent Neural Network by Denis Rangulov et al
06-16-2020	Partial Policy Iteration for L1-Robust Markov Decision Processes by Chin Pang Ho et al
06-17-2020	On the Role of Sparsity and DAG Constraints for Learning Linear DAGs by Ignavier Ng et al
06-18-2020	Free Energy Wells and Overlap Gap Property in Sparse PCA by Gérard Ben Arous et al
06-19-2020	Unified Representation Learning for Efficient Medical Image Analysis by Ghada Zamzmi et al
06-16-2020	Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters by Kaiyi Ji et al
06-17-2020	Reinforcement Learning with Uncertainty Estimation for Tactical Decision-Making in Intersections by Carl-Johan Hoel et al
06-18-2020	An adaptive stochastic gradient-free approach for high-dimensional blackbox optimization by Anton Dereventsov et al
06-17-2020	CoSE: Compositional Stroke Embeddings by Emre Aksan et al
06-17-2020	Universally Quantized Neural Compression by Eirikur Agustsson et al
06-17-2020	Nearly Optimal Robust Method for Convex Compositional Problems with Heavy-Tailed Noise by Yan Yan et al
06-16-2020	De-Anonymizing Text by Fingerprinting Language Generation by Zhen Sun et al
06-19-2020	An operator view of policy gradient methods by Dibya Ghosh et al
06-16-2020	Debona: Decoupled Boundary Network Analysis for Tighter Bounds and Faster Adversarial Robustness Proofs by Christopher Brix et al
06-17-2020	Efficient Statistics for Sparse Graphical Models from Truncated Samples by Arnab Bhattacharyya et al
06-17-2020	Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models by Siavash Khodadadeh et al
06-17-2020	WhoAmI: An Automatic Tool for Visual Recognition of Tiger and Leopard Individuals in the Wild by Rita Pucci et al
06-17-2020	Matern Gaussian processes on Riemannian manifolds by Viacheslav Borovitskiy et al
06-16-2020	On sparse connectivity, adversarial robustness, and a novel model of the artificial neuron by Sergey Bochkanov
06-17-2020	Logic, Probability and Action: A Situation Calculus Perspective by Vaishak Belle
06-18-2020	Local Competition and Uncertainty for Adversarial Robustness in Deep Learning by Antonios Alexos et al
06-17-2020	Improvements in Computation and Usage of Joint CDFs for the N-Dimensional Order Statistic by Arvind Thiagarajan
06-16-2020	Prior knowledge distillation based on financial time series by Jie Fang et al
06-16-2020	Intriguing generalization and simplicity of adversarially trained neural networks by Chirag Agarwal et al
06-17-2020	FISHING Net: Future Inference of Semantic Heatmaps In Grids by Noureldin Hendy et al
06-16-2020	Toward Theory of Applied Learning. What is Machine Learning? by Marina Sapir
06-16-2020	Temporal clustering network for self-diagnosing faults from vibration measurements by G. Zhang et al
06-19-2020	On Reward-Free Reinforcement Learning with Linear Function Approximation by Ruosong Wang et al
06-16-2020	MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining by Leonardo Pellegrina et al
06-19-2020	Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift by Zachary Nado et al
06-16-2020	Results of the seventh edition of the BioASQ Challenge by Anastasios Nentidis et al
06-16-2020	Cross-lingual Retrieval for Iterative Self-Supervised Training by Chau Tran et al
06-18-2020	List-Decodable Mean Estimation via Iterative Multi-Fitering by Ilias Diakonikolas et al
06-17-2020	Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring by Taira Tsuchiya et al
06-16-2020	A Note on Monotone Submodular Maximization with Cardinality Constraint by Wenxin Li
06-16-2020	Network Diffusions via Neural Mean-Field Dynamics by Shushan He et al
06-16-2020	Model Embedding Model-Based Reinforcement Learning by Xiaoyu Tan et al
06-17-2020	Pendant Drop Tensiometry: A Machine Learning Approach by Felix Kratz et al
06-18-2020	Subgraph Neural Networks by Emily Alsentzer et al
06-16-2020	A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges by Laura Swiler et al
06-18-2020	Provably adaptive reinforcement learning in metric spaces by Tongyi Cao et al
06-16-2020	Towards Automated Assessment of Stuttering and Stuttering Therapy by Sebastian P. Bayerl et al
06-18-2020	IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis by Hossein Hajipour et al
06-19-2020	Lookahead Adversarial Semantic Segmentation by Hadi Jamali-Rad et al
06-18-2020	The Dilemma Between Dimensionality Reduction and Adversarial Robustness by Sheila Alemany et al
06-16-2020	Visualization for Histopathology Images using Graph Convolutional Neural Networks by Mookund Sureka et al
06-17-2020	I-BERT: Inductive Generalization of Transformer to Arbitrary Context Lengths by Hyoungwook Nam et al
06-18-2020	Generative Patch Priors for Practical Compressive Image Recovery by Rushil Anirudh et al
06-18-2020	Efficient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning by Oscar de Lima et al
06-18-2020	Learning Minimum-Energy Controls from Heterogeneous Data by Giacomo Baggio et al
06-16-2020	Opponent Modelling with Local Information Variational Autoencoders by Georgios Papoudakis et al
06-16-2020	Real-Time Regression with Dividing Local Gaussian Processes by Armin Lederer et al
06-19-2020	A Reinforcement Learning Approach for Transient Control of Liquid Rocket Engines by Günther Waxenegger-Wilfing et al
06-18-2020	Likelihood-Free Inference with Deep Gaussian Processes by Alexander Aushev et al
06-16-2020	Dense and Sparse Coding: Theory and Architectures by Abiy Tasissa et al
06-16-2020	EPIE Dataset: A Corpus For Possible Idiomatic Expressions by Prateek Saxena et al
06-16-2020	Walk Message Passing Neural Networks and Second-Order Graph Neural Networks by Floris Geerts
06-18-2020	Infinite attention: NNGP and NTK for deep attention networks by Jiri Hron et al
06-17-2020	Diverse Rule Sets by Guangyi Zhang et al
06-17-2020	An Exploratory Study of Argumentative Writing by Young Students: A Transformer-based Approach by Debanjan Ghosh et al
06-16-2020	Memory-Efficient Pipeline-Parallel DNN Training by Deepak Narayanan et al
06-17-2020	Robust Persistence Diagrams using Reproducing Kernels by Siddharth Vishwanath et al
06-16-2020	Interpretable multimodal fusion networks reveal mechanisms of brain cognition by Wenxing Hu et al
06-18-2020	Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples by Kaleel Mahmood et al
06-17-2020	Fine-grained Sentiment Controlled Text Generation by Bidisha Samanta et al
06-18-2020	Lightweight Collaborative Anomaly Detection for the IoT using Blockchain by Yisroel Mirsky et al
06-19-2020	λλ-Regularized A-Optimal Design and its Approximation by λλ-Regularized Proportional Volume Sampling by Uthaipon Tantipongpipat
06-19-2020	Using Deep Learning to Predict Beam-Tunable Pareto Optimal Dose Distribution for Intensity Modulated Radiation Therapy by Gyanendra Bohara et al
06-16-2020	Parameter-based Value Functions by Francesco Faccio et al

06-17-2020	Parameterized MDPs and Reinforcement Learning Problems -- A Maximum Entropy Principle Based Framework by Amber Srivastava et al
06-18-2020	Robust Differentially Private Training of Deep Neural Networks by Ali Davody et al
06-18-2020	DisARM: An Antithetic Gradient Estimator for Binary Latent Variables by Zhe Dong et al
06-16-2020	Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study by Marwa Ismail et al
06-19-2020	Graph Pooling with Node Proximity for Hierarchical Representation Learning by Xing Gao et al
06-17-2020	NNC: Neural-Network Control of Dynamical Systems on Graphs by Thomas Asikis et al
06-18-2020	Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds by Alexandrine Ribeiro et al
06-17-2020	Calibrated Reliable Regression using Maximum Mean Discrepancy by Peng Cui et al
06-18-2020	When OT meets MoM: Robust estimation of Wasserstein Distance by Guillaume Staerman et al
06-19-2020	A general framework for defining and optimizing robustness by Alessandro Tibo et al
06-17-2020	The Recurrent Neural Tangent Kernel by Sina Alemohammad et al
06-17-2020	Robust Unsupervised Learning of Temporal Dynamic Interactions by Aritra Guha et al
06-19-2020	Differentially Private Variational Autoencoders with Term-wise Gradient Aggregation by Tsubasa Takahashi et al
06-19-2020	Towards an Adversarially Robust Normalization Approach by Muhammad Awais et al
06-17-2020	Longitudinal Variational Autoencoder by Siddharth Ramchandran et al
06-18-2020	Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting by Xinyu Chen et al
06-16-2020	Wasserstein Embedding for Graph Learning by Soheil Kolouri et al
06-18-2020	Recovering Petaflops in Contrastive Semi-Supervised Learning of Visual Representations by Mahmoud Assran et al
06-18-2020	DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset by Soumick Chatterjee et al
06-16-2020	SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness by Mohammadamin Tavakoli et al
06-18-2020	Individual Calibration with Randomized Forecasting by Shengjia Zhao et al
06-19-2020	SOLA: Continual Learning with Second-Order Loss Approximation by Dong Yin et al
06-17-2020	GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training by Jiezhong Qiu et al
06-18-2020	Gradient Descent in RKHS with Importance Labeling by Tomoya Murata et al
06-16-2020	Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks by Seyed Mohammadreza Mousavi Kalan et al
06-17-2020	Robust Meta-learning for Mixed Linear Regression with Small Batches by Weihao Kong et al
06-18-2020	Stochastic Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization by Chaobing Song et al
06-18-2020	A Framework for Sample Efficient Interval Estimation with Control Variates by Shengjia Zhao et al
06-16-2020	When Does Self-Supervision Help Graph Convolutional Networks? by Yuning You et al
06-18-2020	Towards Threshold Invariant Fair Classification by Mingliang Chen et al
06-19-2020	Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks by Andreas Venzke et al
06-18-2020	Competitive Policy Optimization by Manish Prajapat et al
06-16-2020	A Note on the Global Convergence of Multilayer Neural Networks in the Mean Field Regime by Huy Tuan Pham et al
06-18-2020	FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs by Alekh Agarwal et al
06-19-2020	A Deep Learning Framework for Hybrid Beamforming Without Instantaneous CSI Feedback by Ahmet M. Elbir
06-17-2020	Class-Attentive Diffusion Network for Semi-Supervised Classification by Jongin Lim et al
06-19-2020	Adversarial Attacks for Multi-view Deep Models by Xuli Sun et al
06-19-2020	How does this interaction affect me? Interpretable attribution for feature interactions by Michael Tsang et al
06-16-2020	Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm by Adil Salim et al
06-18-2020	On the role of data in PAC-Bayes bounds by Gintare Karolina Dziugaite et al
06-17-2020	LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments by Ali AhmadiTeshnizi et al
06-16-2020	Response by the Montreal AI Ethics Institute to the European Commissions Whitepaper on AI by Abhishek Gupta et al
06-16-2020	Learning to Learn with Feedback and Local Plasticity by Jack Lindsey et al
06-16-2020	The Teaching Dimension of Q-learning by Xuezhou Zhang et al
06-18-2020	Exact posterior distributions of wide Bayesian neural networks by Jiri Hron et al
06-18-2020	Automatically Learning Compact Quality-aware Surrogates for Optimization Problems by Kai Wang et al
06-18-2020	Cooperative Multi-Agent Reinforcement Learning with Partial Observations by Yan Zhang et al
06-18-2020	Photometric Data-driven Classification of Type Ia Supernovae in the Open Supernova Catalog by Stanislav Dobryakov et al
06-19-2020	Does Explainable Artificial Intelligence Improve Human Decision-Making? by Yasmeen Alufaisan et al
06-16-2020	Curvature is Key: Sub-Sampled Loss Surfaces and the Implications for Large Batch Training by Diego Granziol
06-18-2020	MARS: Masked Automatic Ranks Selection in Tensor Decompositions by Maxim Kodryan et al
06-18-2020	Pervasive Lying Posture Tracking by Paratoo Alinia et al
06-19-2020	Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers by I. Fursov et al
06-16-2020	Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss by Rakshith Sathish et al
06-19-2020	Bypassing Gradients Re-Projection with Episodic Memories in Online Continual Learning by Yu Chen et al
06-18-2020	Variational Autoencoder with Learned Latent Structure by Marissa C. Connor et al
06-16-2020	Model Explanations with Differential Privacy by Neel Patel et al
06-18-2020	Neural Program Synthesis with a Differentiable Fixer by Matej Balog et al
06-16-2020	On the Variational Posterior of Dirichlet Process Deep Latent Gaussian Mixture Models by Amine Echraibi et al
06-18-2020	Stochastic Gradient Descent in Hilbert Scales: Smoothness, Preconditioning and Earlier Stopping by Nicole Mücke et al
06-19-2020	Understanding Recurrent Neural Networks Using Nonequilibrium Response Theory by Soon Hoe Lim
06-17-2020	Deep Reinforcement Learning Controller for 3D Path-following and Collision Avoidance by Autonomous Underwater Vehicles by Simen Theie Havenstrøm et al
06-19-2020	Gradient descent follows the regularization path for general losses by Ziwei Ji et al
06-19-2020	Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization by Jihwan Bang et al
06-18-2020	SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks by Fabian B. Fuchs et al
06-16-2020	Directional Pruning of Deep Neural Networks by Shih-Kang Chao et al
06-18-2020	AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity by Silviu-Marian Udrescu et al
06-16-2020	Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Stochastic Processes by Simon Luo et al
06-16-2020	Risk bounds when learning infinitely many response functions by ordinary linear regression by Vincent Plassier et al
06-17-2020	Implicit regularization for convex regularizers by Cesare Molinari et al
06-16-2020	Fine-Grained Stochastic Architecture Search by Shraman Ray Chaudhuri et al
06-17-2020	MixBoost: A Heterogeneous Boosting Machine by Thomas Parnell et al
06-19-2020	Statistical and Algorithmic Insights for Semi-supervised Learning with Self-training by Samet Oymak et al
06-16-2020	Federated Accelerated Stochastic Gradient Descent by Honglin Yuan et al
06-16-2020	Reinforcement Learning Control of Robotic Knee with Human in the Loop by Flexible Policy Iteration by Xiang Gao et al
06-17-2020	Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes by Manuel Haussmann et al
06-17-2020	Image-on-Scalar Regression via Deep Neural Networks by Daiwei Zhang et al
06-18-2020	A Shooting Formulation of Deep Learning by François-Xavier Vialard et al
06-16-2020	Acoustic prediction of flowrate: varying liquid jet stream onto a free surface by Balamurali B T et al
06-19-2020	How Does Momentum Help Frank Wolfe? by Bingcong Li et al
06-17-2020	Quantifying Challenges in the Application of Graph Representation Learning by Antonia Gogoglou et al
06-16-2020	Corralling Stochastic Bandit Algorithms by Raman Arora et al
06-18-2020	An Integer Linear Programming Framework for Mining Constraints from Data by Tao Meng et al
06-16-2020	Solving Constrained CASH Problems with ADMM by Parikshit Ram et al
06-17-2020	Region-based Energy Neural Network for Approximate Inference by Dong Liu et al
06-16-2020	Off-policy Bandits with Deficient Support by Noveen Sachdeva et al
06-16-2020	Goodness-of-Fit Test for Self-Exciting Processes by Song Wei et al
06-16-2020	A Study of Compositional Generalization in Neural Models by Tim Klinger et al
06-16-2020	Adversarial representation learning for private speech generation by David Ericsson et al
06-18-2020	Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs by Nikolaos Karalias et al
06-16-2020	Learning What to Defer for Maximum Independent Sets by Sungsoo Ahn et al
06-19-2020	No one-hidden-layer neural network can represent multivariable functions by Masayo Inoue et al
06-18-2020	Guarantees for Hierarchical Clustering by the Sublevel Set method by Marina Meila
06-16-2020	Efficient Path Algorithms for Clustered Lasso and OSCAR by Atsumori Takahashi et al
06-18-2020	Distribution-free binary classification: prediction sets, confidence intervals and calibration by Chirag Gupta et al
06-18-2020	Quantum algorithm for training nonlinear SVMs in almost linear time by Jonathan Allcock et al
06-18-2020	Deep Image Translation for Enhancing Simulated Ultrasound Images by Lin Zhang et al
06-18-2020	Stochastic bandits with arm-dependent delays by Anne Gael Manegueu et al
06-18-2020	Offline detection of change-points in the mean for stationary graph signals by Alejandro de la Concha et al
06-18-2020	Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion by Sally Ghanem et al
06-18-2020	Precise expressions for random projections: Low-rank approximation and randomized Newton by Michał Dereziński et al
06-16-2020	Deep learning approaches for fast radio signal prediction by Ozan Ozyegen et al
06-16-2020	Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions by Hossein Taheri et al
06-16-2020	Calibrating Deep Neural Network Classifiers on Out-of-Distribution Datasets by Zhihui Shao et al
06-16-2020	QQ-learning with Logarithmic Regret by Kunhe Yang et al
06-19-2020	Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection by Michael Tsang et al
06-18-2020	Tensor Decompositions in Recursive NeuralNetworks for Tree-Structured Data by Daniele Castellana et al
06-16-2020	Flatness is a False Friend by Diego Granziol
06-16-2020	The Bures Metric for Taming Mode Collapse in Generative Adversarial Networks by Hannes De Meulemeester et al
06-19-2020	Semi-supervised time series classification method for quantum computing by Sheir Yarkoni et al
06-18-2020	Median Matrix Completion: from Embarrassment to Optimality by Weidong Liu et al
06-18-2020	Federated Learning With Quantized Global Model Updates by Mohammad Mohammadi Amiri et al
06-17-2020	Staging Epileptogenesis with Deep Neural Networks by Diyuan Lu et al
06-17-2020	Constrained regret minimization for multi-criterion multi-armed bandits by Anmol Kagrecha et al
06-19-2020	Learning Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory by Lenart Treven et al
06-16-2020	Reusing Trained Layers of Convolutional Neural Networks to Shorten Hyperparameters Tuning Time by Roberto L. Castro et al
06-18-2020	Active Learning for Nonlinear System Identification with Guarantees by Horia Mania et al
06-16-2020	Online Reinforcement Learning Control by Direct Heuristic Dynamic Programming: from Time-Driven to Event-Driven by Qingtao Zhao et al
06-16-2020	A Multi-Phase Approach for Product Hierarchy Forecasting in Supply Chain Management: Application to MonarchFx Inc by Sajjad Taghiyeh et al
06-16-2020	Neural Optimal Control for Representation Learning by Mathieu Chalvidal et al
06-16-2020	Robust compressed sensing of generative models by Ajil Jalal et al
06-19-2020	On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems by Panayotis Mertikopoulos et al
06-16-2020	Linear Last-iterate Convergence for Matrix Games and Stochastic Games by Chung-Wei Lee et al
06-18-2020	Open Problem: Model Selection for Contextual Bandits by Dylan J. Foster et al
06-19-2020	Abstract Diagrammatic Reasoning with Multiplex Graph Networks by Duo Wang et al
06-18-2020	Algorithmic Decision Making with Conditional Fairness by Renzhe Xu et al
06-17-2020	Adversarial Examples Detection and Analysis with Layer-wise Autoencoders by Bartosz Wójcik et al
06-16-2020	Causal inference of brain connectivity from fMRI with ψψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψψ-LiNGAM) by Aiying Zhang et al
06-17-2020	Spatial-And-Context aware (SpACe) virtual biopsy radiogenomic maps to target tumor mutational status on structural MRI by Marwa Ismail et al
06-18-2020	Improving the Convergence Rate of One-Point Zeroth-Order Optimization using Residual Feedback by Yan Zhang et al
06-16-2020	Learning Linear Programs from Optimal Decisions by Yingcong Tan et al
06-18-2020	An Investigation of the Weight Space for Version Control of Neural Networks by Konstantin Schürholt et al
06-19-2020	An analytic theory of shallow networks dynamics for hinge loss classification by Franco Pellegrini et al
06-18-2020	Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula by Yuxuan Zhao et al
06-18-2020	Stability of Internal States in Recurrent Neural Networks Trained on Regular Languages by Christian Oliva et al
06-16-2020	GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals by Xiangmin Lun et al
06-17-2020	On Sparsity in Overparametrised Shallow ReLU Networks by Jaume de Dios et al
06-19-2020	Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization by Geoff Pleiss et al
06-19-2020	Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy by Quentin Renau et al
06-16-2020	AdvMind: Inferring Adversary Intent of Black-Box Attacks by Ren Pang et al
06-17-2020	How isotropic kernels learn simple invariants by Jonas Paccolat et al
06-19-2020	Monash University, UEA, UCR Time Series Regression Archive by Chang Wei Tan et al
06-17-2020	Breaking Type-Safety in Go: An Empirical Study on the Usage of the unsafe Package by Diego Elias Costa et al
06-17-2020	Self-training Avoids Using Spurious Features Under Domain Shift by Yining Chen et al
06-17-2020	Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks by Takuya Fujihashi et al
06-19-2020	A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning by Samuel Horváth et al

06-19-2020	Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of Design Considerations, and Numerical Comparison by David I Shuman
06-16-2020	Relational Fusion Networks: Graph Convolutional Networks for Road Networks by Tobias Skovgaard Jepsen et al
06-16-2020	Robust Sound Source Tracking Using SRP-PHAT and 3D Convolutional Neural Networks by David Diaz-Guerra et al
06-17-2020	Analytical Probability Distributions and EM-Learning for Deep Generative Networks by Randall Balestriero et al
06-17-2020	Generalising Recursive Neural Models by Tensor Decomposition by Daniele Castellana et al
06-18-2020	Constraining Variational Inference with Geometric Jensen-Shannon Divergence by Jacob Deasy et al
06-16-2020	Focus of Attention Improves Information Transfer in Visual Features by Matteo Tiezzi et al
06-16-2020	Isometric Graph Neural Networks by Matthew Walker et al
06-16-2020	Probabilistic Decoupling of Labels in Classification by Jeppe Nørregaard et al
06-16-2020	Estimates on Learning Rates for Multi-Penalty Distribution Regression by Zhan Yu et al
06-18-2020	Open Ad Hoc Teamwork using Graph-based Policy Learning by Arrasy Rahman et al
06-18-2020	STEER : Simple Temporal Regularization For Neural ODEs by Arnab Ghosh et al
06-16-2020	Learning continuous-time PDEs from sparse data with graph neural networks by Valerii Iakovlev et al
06-16-2020	Visual Attention for Musical Instrument Recognition by Karn Watcharasupat et al
06-16-2020	Approximate Gradient Coding with Optimal Decoding by Margalit Glasgow et al
06-16-2020	High Dimensional Model Explanations: an Axiomatic Approach by Neel Patel et al
06-16-2020	Robot Perception enables Complex Navigation Behavior via Self-Supervised Learning by Marvin Chancán et al
06-16-2020	Measuring Model Complexity of Neural Networks with Curve Activation Functions by Xia Hu et al
06-16-2020	Model Agnostic Combination for Ensemble Learning by Ohad Silbert et al
06-18-2020	Sparse Bottleneck Networks for Exploratory Analysis and Visualization of Neural Patch-seq Data by Yves Bernaerts et al
06-16-2020	Byzantine-Robust Learning on Heterogeneous Datasets via Resampling by Lie He et al
06-16-2020	Estimation of Video Streaming KQIs for Radio Access Negotiation in Network Slicing Scenarios by Carlos Baena et al
06-16-2020	Applying Social Event Data for the Management of Cellular Networks by Sergio Fortes et al
06-17-2020	Landscape-Aware Fixed-Budget Performance Regression and Algorithm Selection for Modular CMA-ES Variants by Anja Jankovic et al
06-17-2020	LimeOut: An Ensemble Approach To Improve Process Fairness by Vaishnavi Bhargava et al
06-18-2020	MMCGAN: Generative Adversarial Network with Explicit Manifold Prior by Guanhua Zheng et al
06-18-2020	Category-Specific CNN for Visual-aware CTR Prediction at JD.com by Hu Liu et al
06-18-2020	Appearance Learning for Image-based Motion Estimation in Tomography by Alexander Preuhs et al
06-18-2020	SenWave: Monitoring the Global Sentiments under the COVID-19 Pandemic by Qiang Yang et al
06-16-2020	Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention by Jonas K. Falkner et al
06-18-2020	Quantifying Assurance in Learning-enabled Systems by Erfan Asaadi et al
06-18-2020	Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization by Abhinav Agrawal et al
06-18-2020	Boosting Objective Scores of Speech Enhancement Model through MetricGAN Post-Processing by Szu-Wei Fu et al
06-16-2020	Multipole Graph Neural Operator for Parametric Partial Differential Equations by Zongyi Li et al
06-16-2020	Query Intent Detection from the SEO Perspective by Samin Mohammadi et al
06-16-2020	Unified SVM algorithm based LS-DC Loss by Zhou Shuisheng et al
06-18-2020	DrNAS: Dirichlet Neural Architecture Search by Xiangning Chen et al
06-18-2020	Kernel methods through the roof: handling billions of points efficiently by Giacomo Meanti et al
06-16-2020	Learning Dynamics Models with Stable Invariant Sets by Naoya Takeishi et al
06-16-2020	Policy Evaluation and Seeking for Multi-Agent Reinforcement Learning via Best Response by Rui Yan et al
06-18-2020	OMBA: User-Guided Product Representations for Online Market Basket Analysis by Amila Silva et al
06-18-2020	Reparameterized Variational Divergence Minimization for Stable Imitation by Dilip Arumugam et al
06-18-2020	GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models by Farzan Farnia et al
06-19-2020	Backdoor Attacks to Graph Neural Networks by Zaixi Zhang et al
06-19-2020	Fast Mixing of Multi-Scale Langevin Dynamics underthe Manifold Hypothesis by Adam Block et al
06-18-2020	Leveraging Model Inherent Variable Importance for Stable Online Feature Selection by Johannes Haug et al
06-16-2020	Enhanced First and Zeroth Order Variance Reduced Algorithms for Min-Max Optimization by Tengyu Xu et al
06-18-2020	Cloud detection in Landsat-8 imagery in Google Earth Engine based on a deep neural network by Zhixiang Yin et al
06-18-2020	Bayesian Optimization with Missing Inputs by Phuc Luong et al
06-16-2020	Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms by Guy Bresler et al
06-18-2020	Independent innovation analysis for nonlinear vector autoregressive process by Hiroshi Morioka et al
06-19-2020	Towards Reliable Real-time Opera Tracking: Combining Alignment with Audio Event Detectors to Increase Robustness by Charles Brazier et al
06-19-2020	Latent variable modeling with random features by Gregory W. Gundersen et al
06-17-2020	Comparative Sentiment Analysis of App Reviews by Sakshi Ranjan et al
06-16-2020	Data Augmentation of IMU Signals and Evaluation via a Semi-Supervised Classification of Driving Behavior by Amani Jaafer et al
06-16-2020	Metrizing Weak Convergence with Maximum Mean Discrepancies by Carl-Johann Simon-Gabriel et al
06-16-2020	Discovering outstanding subgroup lists for numeric targets using MDL by Hugo M. Proença et al
06-16-2020	Differentially-private Federated Neural Architecture Search by Ishika Singh et al
06-16-2020	COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning by Eivind Meyer et al
06-17-2020	Using Weighted P-Values in Fishers Method by Arvind Thiagarajan
06-17-2020	Interpolation and Learning with Scale Dependent Kernels by Nicolò Pagliana et al
06-17-2020	Geometry of Comparisons by Puoya Tabaghi et al
06-17-2020	Categorical Normalizing Flows via Continuous Transformations by Phillip Lippe et al
06-17-2020	A Knowledge-Enhanced Recommendation Model with Attribute-Level Co-Attention by Deqing Yang et al
06-17-2020	Simplified Swarm Optimization for Bi-Objection Active Reliability Redundancy Allocation Problems by Wei-Chang Yeh
06-17-2020	Stochastic Network Utility Maximization with Unknown Utilities: Multi-Armed Bandits Approach by Arun Verma et al
06-17-2020	Communication-Efficient Robust Federated Learning Over Heterogeneous Datasets by Yanjie Dong et al
06-17-2020	FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated Features by Yuancheng Xu et al
06-16-2020	Decomposable Families of Itemsets by Nikolaj Tatti et al
06-16-2020	Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions by Tom Yan et al
06-18-2020	Rehabilitating Isomap: Euclidean Representation of Geodesic Structure by Michael W. Trosset et al
06-17-2020	The Influence of Shape Constraints on the Thresholding Bandit Problem by James Cheshire et al
06-16-2020	Hessian-Free High-Resolution Nesterov Accelerationfor Sampling by Ruilin Li et al
06-16-2020	Assisted music creation with Flow Machines: towards new categories of new by François Pachet et al
06-16-2020	Data Driven Control with Learned Dynamics: Model-Based versus Model-Free Approach by Wenjian Hao et al
06-18-2020	FedFMC: Sequential Efficient Federated Learning on Non-iid Data by Kavya Kopparapu et al
06-19-2020	Systematic Attack Surface Reduction For Deployed Sentiment Analysis Models by Josh Kalin et al
06-18-2020	Distributed Value Function Approximation for Collaborative Multi-Agent Reinforcement Learning by Milos S. Stankovic et al
06-16-2020	Theory of Machine Learning Debugging via M-estimation by Xiaomin Zhang et al
06-16-2020	Federated Survival Analysis with Discrete-Time Cox Models by Mathieu Andreux et al
06-18-2020	Hyperspectral Image Super-resolution via Deep Progressive Zero-centric Residual Learning by Zhiyu Zhu et al
06-16-2020	FedCD: Improving Performance in non-IID Federated Learning by Kavya Kopparapu et al
06-19-2020	Classifier uncertainty: evidence, potential impact, and probabilistic treatment by Niklas Tötsch et al
06-16-2020	Reverse Lebesgue and Gaussian isoperimetric inequalities for parallel sets with applications by Varun Jog
06-16-2020	ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers by James Ferlez et al
06-19-2020	Analyzing the Real-World Applicability of DGA Classifiers by Arthur Drichel et al
06-17-2020	Regularized ERM on random subspaces by Andrea Della Vecchia et al
06-18-2020	Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting by Ilja Kuzborskij et al
06-17-2020	A Non-Asymptotic Analysis for Stein Variational Gradient Descent by Anna Korba et al
06-17-2020	Kernel Alignment Risk Estimator: Risk Prediction from Training Data by Arthur Jacot et al
06-16-2020	Deep Learning with Functional Inputs by Barinder Thind et al
06-19-2020	Gradient boosting machine with partially randomized decision trees by Andrei V. Konstantinov et al
06-18-2020	Neural Architecture Optimization with Graph VAE by Jian Li et al
06-17-2020	Mix2FLD: Downlink Federated Learning After Uplink Federated Distillation With Two-Way Mixup by Seungeun Oh et al
06-16-2020	NodeNet: A Graph Regularised Neural Network for Node Classification by Shrey Dabhi et al
06-18-2020	Weighted QMIX: Expanding Monotonic Value Function Factorisation by Tabish Rashid et al
06-18-2020	Predictive Complexity Priors by Eric Nalisnick et al
06-16-2020	Generative Modelling for Controllable Audio Synthesis of Expressive Piano Performance by Hao Hao Tan et al
06-16-2020	LSTM Networks for Music Generation by Xin Xu