2020.10.19 Learning papers

10-20-2020	Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition by Yu Zhang et al
10-21-2020	Logistic QQ-Learning by Joan Bas-Serrano et al
10-22-2020	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale by Alexey Dosovitskiy et al
10-22-2020	Learning Invariances in Neural Networks by Gregory Benton et al
10-21-2020	Contrastive Learning of General-Purpose Audio Representations by Aaqib Saeed et al
10-20-2020	Runtime Safety Assurance Using Reinforcement Learning by Christopher Lazarus et al
10-22-2020	Batch Exploration with Examples for Scalable Robotic Reinforcement Learning by Annie S. Chen et al
10-21-2020	A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels by Leon Lang et al
10-22-2020	In Search of Robust Measures of Generalization by Gintare Karolina Dziugaite et al
10-20-2020	SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images by Chen-Hsuan Lin et al
10-20-2020	Complete Multilingual Neural Machine Translation by Markus Freitag et al
10-22-2020	CoinDICE: Off-Policy Confidence Interval Estimation by Bo Dai et al
10-21-2020	NU-GAN: High resolution neural upsampling with GAN by Rithesh Kumar et al
10-22-2020	Identifying Learning Rules From Neural Network Observables by Aran Nayebi et al
10-21-2020	Learning Loss for Test-Time Augmentation by Ildoo Kim et al
10-21-2020	Complex data labeling with deep learning methods: Lessons from fisheries acoustics by J. M. A. Sarr et al
10-21-2020	One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN by Christian Bartz et al
10-20-2020	Local Knowledge Powered Conversational Agents by Sashank Santhanam et al
10-20-2020	A Survey on Deep Learning and Explainability for Automatic Image-based Medical Report Generation by Pablo Messina et al
10-21-2020	Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition by Yangyang Shi et al
10-21-2020	Towards End-to-End Training of Automatic Speech Recognition for Nigerian Pidgin by Daniel Ajisafe et al
10-21-2020	Rethinking pooling in graph neural networks by Diego Mesquita et al
10-21-2020	Riemannian Langevin Algorithm for Solving Semidefinite Programs by Mufan Bill Li et al
10-22-2020	On the Power of Deep but Naive Partial Label Learning by Junghoon Seo et al
10-22-2020	Planning with Submodular Objective Functions by Ruosong Wang et al
10-22-2020	Deep Learning is Singular, and Thats Good by Daniel Murfet et al
10-20-2020	Image-Driven Furniture Style for Interactive 3D Scene Modeling by Tomer Weiss et al
10-20-2020	SoccerMap: A Deep Learning Architecture for Visually-Interpretable Analysis in Soccer by Javier Fernández et al
10-20-2020	Iterative Amortized Policy Optimization by Joseph Marino et al
10-21-2020	MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers by Colby Banbury et al
10-21-2020	Improving Generalization in Reinforcement Learning with Mixture Regularization by Kaixin Wang et al
10-22-2020	A Framework for Contrastive and Generative Learning of Audio Representations by Prateek Verma et al
10-20-2020	Sparse Gaussian Process Variational Autoencoders by Matthew Ashman et al
10-21-2020	Germans Next Language Model by Branden Chan et al
10-21-2020	What is Wrong with Continual Learning in Medical Image Segmentation? by Camila Gonzalez et al
10-22-2020	Transcription Is All You Need: Learning to Separate Musical Mixtures with Score as Supervision by Yun-Ning Hung et al
10-20-2020	Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation by Laurel Orr et al
10-21-2020	Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases by Zaid Nabulsi et al
10-21-2020	WaveTransformer: A Novel Architecture for Audio Captioning Based on Learning Temporal and Time-Frequency Information by An Tran et al
10-22-2020	Similarity Analysis of Self-Supervised Speech Representations by Yu-An Chung et al
10-21-2020	Class-Conditional Defense GAN Against End-to-End Speech Attacks by Mohammad Esmaeilpour et al
10-21-2020	Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning by Jonáš Kulhánek et al
10-20-2020	Towards End-to-End In-Image Neural Machine Translation by Elman Mansimov et al
10-21-2020	Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents by Mohammad Kachuee et al
10-22-2020	TLGAN: document Text Localization using Generative Adversarial Nets by Dongyoung Kim et al
10-22-2020	An Industry Evaluation of Embedding-based Entity Alignment by Ziheng Zhang et al
10-22-2020	Optimising Stochastic Routing for Taxi Fleets with Model Enhanced Reinforcement Learning by Shen Ren et al
10-22-2020	Improving BERT Performance for Aspect-Based Sentiment Analysis by Akbar Karimi et al
10-21-2020	BERT for Joint Multichannel Speech Dereverberation with Spatial-aware Tasks by Yang Jiao
10-21-2020	DPD-InfoGAN: Differentially Private Distributed InfoGAN by Vaikkunth Mugunthan et al
10-20-2020	Asynchronous Edge Learning using Cloned Knowledge Distillation by Sang-ho Lee et al
10-21-2020	Learning Curves for Analysis of Deep Networks by Derek Hoiem et al
10-22-2020	Defense-guided Transferable Adversarial Attacks by Zifei Zhang et al
10-22-2020	Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation by Bowen Li et al
10-22-2020	AdapterDrop: On the Efficiency of Adapters in Transformers by Andreas Rücklé et al
10-21-2020	FastEmit: Low-latency Streaming ASR with Sequence-level Emission Regularization by Jiahui Yu et al
10-22-2020	Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs by Hongyu Ren et al
10-21-2020	QISTA-Net: DNN Architecture to Solve ℓqℓq-norm Minimization Problem and Image Compressed Sensing by Gang-Xuan Lin et al
10-21-2020	Trajectory Prediction using Equivariant Continuous Convolution by Robin Walters et al
10-21-2020	Anomaly Detection for Multivariate Time Series of Exotic Supernovae by V. Ashley Villar et al
10-22-2020	Rethinking Evaluation in ASR: Are Our Models Robust Enough? by Tatiana Likhomanenko et al
10-21-2020	Recurrent neural network-based volumetric fluorescence microscopy by Luzhe Huang et al
10-22-2020	Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free by Haotao Wang et al
10-21-2020	Shedding Light on Blind Spots: Developing a Reference Architecture to Leverage Video Data for Process Mining by Wolfgang Kratsch et al
10-21-2020	Learning Occupancy Function from Point Clouds for Surface Reconstruction by Meng Jia et al
10-21-2020	Kwame: A Bilingual AI Teaching Assistant for Online SuaCode Courses by George Boateng
10-22-2020	Confidence Estimation for Attention-based Sequence-to-sequence Models for Speech Recognition by Qiujia Li et al
10-20-2020	BYOL works even without batch statistics by Pierre H. Richemond et al
10-21-2020	Performance Prediction for Convolutional Neural Networks in Edge Devices by Halima Bouzidi et al
10-22-2020	Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data by Lingkai Kong et al
10-21-2020	Probabilistic Numeric Convolutional Neural Networks by Marc Finzi et al
10-22-2020	Factorized Neural Processes for Neural Processes: KK-Shot Prediction of Neural Responses by R. James Cotton et al
10-22-2020	Rewriting Meaningful Sentences via Conditional BERT Sampling and an application on fooling text classifiers by Lei Xu et al
10-23-2020	Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning by Cong Zhang et al
10-20-2020	SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency by Sameer Dharur et al
10-21-2020	Ultra-low power on-chip learning of speech commands with phase-change memories by Venkata Pavan Kumar Miriyala et al
10-21-2020	Learning Black-Box Attackers with Transferable Priors and Query Feedback by Jiancheng Yang et al
10-21-2020	Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies by Itai Gat et al
10-21-2020	Learning to Summarize Long Texts with Memory Compression and Transfer by Jaehong Park et al
10-21-2020	Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond by Nina Vesseron et al
10-21-2020	Optimal Off-Policy Evaluation from Multiple Logging Policies by Nathan Kallus et al
10-20-2020	Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification by Daniel J. Mankowitz et al
10-22-2020	slimIPL: Language-Model-Free Iterative Pseudo-Labeling by Tatiana Likhomanenko et al
10-20-2020	Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image Translation by Hasib Zunair et al
10-22-2020	CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-spectrogram Conversion by Takuhiro Kaneko et al
10-21-2020	Mixed-Precision Embedding Using a Cache by Jie Amy Yang et al
10-21-2020	Amnesiac Machine Learning by Laura Graves et al
10-22-2020	Detecting and Exorcising Statistical Demons from Language Models with Anti-Models of Negative Data by Michael L. Wick et al
10-21-2020	Deep learning based registration using spatial gradients and noisy segmentation labels by Théo Estienne et al
10-20-2020	Boosting Gradient for White-Box Adversarial Attacks by Hongying Liu et al
10-21-2020	Quantum Deformed Neural Networks by Roberto Bondesan et al
10-22-2020	Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments by Jun Yamada et al
10-22-2020	Conditional independence by typing by Maria I. Gorinova et al
10-22-2020	Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models by Amit Gajbhiye et al
10-20-2020	Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning by Vaisakh Shaj et al
10-20-2020	Learning Disentangled Phone and Speaker Representations in a Semi-Supervised VQ-VAE Paradigm by Jennifer Williams et al
10-21-2020	A Short Note on the Kinetics-700-2020 Human Action Dataset by Lucas Smaira et al
10-20-2020	BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues by Hung Le et al
10-20-2020	The Need for Standardized Explainability by Othman Benchekroun et al
10-20-2020	Neural Approximate Sufficient Statistics for Implicit Models by Yanzhi Chen et al
10-22-2020	Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising by Yaochen Xie et al
10-20-2020	On Benchmarking Iris Recognition within a Head-mounted Display for AR/VR Application by Fadi Boutros et al
10-21-2020	N-ODE Transformer: A Depth-Adaptive Variant of the Transformer Using Neural Ordinary Differential Equations by Aaron Baier-Reinio et al
10-20-2020	Counterfactual Explanations for Machine Learning: A Review by Sahil Verma et al
10-22-2020	Self-alignment Pre-training for Biomedical Entity Representations by Fangyu Liu et al
10-20-2020	Negotiating Team Formation Using Deep Reinforcement Learning by Yoram Bachrach et al
10-21-2020	Data augmentation as stochastic optimization by Boris Hanin et al
10-21-2020	Stronger Transformers for Neural Multi-Hop Question Generation by Devendra Singh Sachan et al
10-20-2020	American Sign Language Identification Using Hand Trackpoint Analysis by Yugam Bajaj et al
10-22-2020	LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source Separation by Woosung Choi et al
10-20-2020	Learning to Learn Variational Semantic Memory by Xiantong Zhen et al
10-21-2020	UFO22: A Unified Framework towards Omni-supervised Object Detection by Zhongzheng Ren et al
10-23-2020	Option Hedging with Risk Averse Reinforcement Learning by Edoardo Vittori et al
10-21-2020	ReSCo-CC: Unsupervised Identification of Key Disinformation Sentences by Soumya Suvra Ghosal et al
10-22-2020	MixCon: Adjusting the Separability of Data Representations for Harder Data Recovery by Xiaoxiao Li et al
10-20-2020	VarGrad: A Low-Variance Gradient Estimator for Variational Inference by Lorenz Richter et al
10-20-2020	Coherent Hierarchical Multi-Label Classification Networks by Eleonora Giunchiglia et al
10-20-2020	Deep Reinforcement Learning in Lane Merge Coordination for Connected Vehicles by Omar Nassef et al
10-21-2020	A Level-wise Taxonomic Perspective on Automated Machine Learning to Date and Beyond: Challenges and Opportunities by Shubhra et al
10-20-2020	ENSURE: Ensemble Steins Unbiased Risk Estimator for Unsupervised Learning by Hemant Kumar Aggarwal et al
10-20-2020	Claw U-Net: A Unet-based Network with Deep Feature Concatenation for Scleral Blood Vessel Segmentation by Chang Yao et al
10-22-2020	Model identification and local linear convergence of coordinate descent by Quentin Klopfenstein et al
10-20-2020	Preventing Personal Data Theft in Images with Adversarial ML by Thomas Cilloni et al
10-20-2020	Two-Stage Generative Adversarial Networks for Document Image Binarization with Color Noise and Background Removal by Sungho Suh et al
10-22-2020	Machine Learning-Based Early Detection of IoT Botnets Using Network-Edge Traffic by Ayush Kumar et al
10-20-2020	FishNet: A Unified Embedding for Salmon Recognition by Bjørn Magnus Mathisen et al
10-20-2020	Quality of service based radar resource management using deep reinforcement learning by Sebastian Durst et al
10-20-2020	BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search by Yunjiang Jiang et al
10-21-2020	Convex Polytope Trees by Mohammadreza Armandpour et al
10-20-2020	SCOP: Scientific Control for Reliable Neural Network Pruning by Yehui Tang et al
10-21-2020	Learning Integrodifferential Models for Image Denoising by Tobias Alt et al
10-22-2020	Backdoor Attack against Speaker Verification by Tongqing Zhai et al
10-21-2020	Black-Box Ripper: Copying black-box models using generative evolutionary algorithms by Antonio Barbalau et al
10-22-2020	Accelerating Reinforcement Learning with Learned Skill Priors by Karl Pertsch et al
10-22-2020	Self-training and Pre-training are Complementary for Speech Recognition by Qiantong Xu et al
10-21-2020	Knowledge Distillation for Improved Accuracy in Spoken Question Answering by Chenyu You et al
10-21-2020	Network topology change-point detection from graph signals with prior spectral signatures by Chiraag Kaushik et al
10-21-2020	On Information Asymmetry in Competitive Multi-Agent Reinforcement Learning: Convergence and Optimality by Ezra Tampubolon et al
10-20-2020	Provenance Graph Kernel by David Kohan Marzagão et al
10-20-2020	Leveraging SLIC Superpixel Segmentation and Cascaded Ensemble SVM for Fully Automated Mass Detection In Mammograms by Jaime Simarro et al
10-21-2020	Contextualized Attention-based Knowledge Transfer for Spoken Conversational Question Answering by Chenyu You et al
10-21-2020	Neural Networks for Entity Matching by Nils Barlaug et al
10-21-2020	On Explaining Decision Trees by Yacine Izza et al
10-21-2020	PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding by Zhao Jinman et al
10-20-2020	CoRT: Complementary Rankings from Transformers by Marco Wrzalik et al
10-20-2020	Integrating LEO Satellites and Multi-UAV Reinforcement Learning for Hybrid FSO/RF Non-Terrestrial Networks by Ju-Hyung Lee et al
10-20-2020	AutoBSS: An Efficient Algorithm for Block Stacking Style Search by Yikang Zhang et al

10-20-2020	Micro CT Image-Assisted Cross Modality Super-Resolution of Clinical CT Images Utilizing Synthesized Training Dataset by Tong Zheng et al
10-20-2020	Replacing Human Audio with Synthetic Audio for On-device Unspoken Punctuation Prediction by Daria Soboleva et al
10-20-2020	Towards Maximizing the Representation Gap between In-Domain \& Out-of-Distribution Examples by Jay Nandy et al
10-20-2020	Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers by Yuxuan Du et al
10-22-2020	Object-Attribute Biclustering for Elimination of Missing Genotypes in Ischemic Stroke Genome-Wide Data by Dmitry I. Ignatov et al
10-20-2020	Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions by Rafal Pytel et al
10-21-2020	Sentence Boundary Augmentation For Neural Machine Translation Robustness by Daniel Li et al
10-20-2020	Tight Second-Order Certificates for Randomized Smoothing by Alexander Levine et al
10-20-2020	On the Global Self-attention Mechanism for Graph Convolutional Networks by Chen Wang et al
10-20-2020	Reinforcement Learning for Optimization of COVID-19 Mitigation policies by Varun Kompella et al
10-23-2020	Primal-Dual Mesh Convolutional Neural Networks by Francesco Milano et al
10-21-2020	Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks by Baihan Lin et al
10-21-2020	Beyond English-Centric Multilingual Machine Translation by Angela Fan et al
10-22-2020	Neural Network-based Acoustic Vehicle Counting by Slobodan Djukanović et al
10-22-2020	Robust Audio-Based Vehicle Counting in Low-to-Moderate Traffic Flow by Slobodan Djukanović et al
10-22-2020	Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games by Yunqiu Xu et al
10-20-2020	Towards an Automatic Analysis of CHO-K1 Suspension Growth in Microfluidic Single-cell Cultivation by Dominik Stallmann et al
10-23-2020	Population Gradients improve performance across data-sets and architectures in object classification by Yurika Sakai et al
10-20-2020	Human-Paraphrased References Improve Neural Machine Translation by Markus Freitag et al
10-20-2020	Safety Verification of Model Based Reinforcement Learning Controllers by Akshita Gupta et al
10-20-2020	On Application of Block Kaczmarz Methods in Matrix Factorization by Edwin Chau et al
10-21-2020	Stacking Neural Network Models for Automatic Short Answer Scoring by Rian Adam Rajagede et al
10-20-2020	Interpretable Deep Learning for Automatic Diagnosis of 12-lead Electrocardiogram by Dongdong Zhang et al
10-21-2020	I-nteract 2.0: A Cyber-Physical System to Design 3D Models using Mixed Reality Technologies and Deep Learning for Additive Manufacturing by Ammar Malik et al
10-21-2020	TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing by Charilaos I. Kanatsoulis et al
10-20-2020	Text Classification of COVID-19 Press Briefings using BERT and Convolutional Neural Networks by Kakia Chatsiou
10-21-2020	Meta-trained agents implement Bayes-optimal agents by Vladimir Mikulik et al
10-20-2020	Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher by Guangda Ji et al
10-22-2020	Language Models are Open Knowledge Graphs by Chenguang Wang et al
10-20-2020	On the Adversarial Robustness of LASSO Based Feature Selection by Fuwei Li et al
10-22-2020	Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks by Shenhao Wang et al
10-21-2020	GFL: A Decentralized Federated Learning Framework Based On Blockchain by Yifan Hu et al
10-21-2020	Precise Statistical Analysis of Classification Accuracies for Adversarial Training by Adel Javanmard et al
10-21-2020	A Distributional Robustness Certificate by Randomized Smoothing by Jungang Yang et al
10-22-2020	MTGAT: Multimodal Temporal Graph Attention Networks for Unaligned Human Multimodal Language Sequences by Jianing Yang et al
10-22-2020	Probabilistic Circuits for Variational Inference in Discrete Graphical Models by Andy Shih et al
10-22-2020	A novel auction system for selecting advertisements in Real-Time bidding by Luis Miralles-Pechuán et al
10-22-2020	Sequence-to-sequence Singing Voice Synthesis with Perceptual Entropy Loss by Jiatong Shi et al
10-21-2020	Decentralized Deep Learning using Momentum-Accelerated Consensus by Aditya Balu et al
10-20-2020	Optimal Subarchitecture Extraction For BERT by Adrian de Wynter et al
10-20-2020	Implicit recurrent networks: A novel approach to stationary input processing with recurrent neural networks in deep learning by Sebastian Sanokowski
10-21-2020	Maximum Mean Discrepancy is Aware of Adversarial Attacks by Ruize Gao et al
10-21-2020	A Multi-Componential Approach to Emotion Recognition and the Effect of Personality by Gelareh Mohammadi et al
10-23-2020	Learn Robust Features via Orthogonal Multi-Path by Kun Fang et al
10-20-2020	Automating Abnormality Detection in Musculoskeletal Radiographs through Deep Learning by Goodarz Mehr
10-22-2020	Knowledge Graph Embedding with Atrous Convolution and Residual Learning by Feiliang Ren et al
10-20-2020	Data-driven Identification of 2D Partial Differential Equations using extracted physical features by Kazem Meidani et al
10-20-2020	Promoting High Diversity Ensemble Learning with EnsembleBench by Yanzhao Wu et al
10-20-2020	Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems by Benjamin Grimmer et al
10-20-2020	What makes multilingual BERT multilingual? by Chi-Liang Liu et al
10-23-2020	A Combinatorial Perspective on Transfer Learning by Jianan Wang et al
10-22-2020	Language-Conditioned Imitation Learning for Robot Manipulation Tasks by Simon Stepputtis et al
10-23-2020	Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels by Valentyn Melnychuk et al
10-22-2020	Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing by Arthur Delarue et al
10-22-2020	Classification with Rejection Based on Cost-sensitive Classification by Nontawat Charoenphakdee et al
10-23-2020	Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning by Harald Bayerlein et al
10-21-2020	Coordinated Online Learning for Multi-Agent Systems with Coupled Constraints and Perturbed Utility Observations by Ezra Tampubolon et al
10-20-2020	UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus by George Michalopoulos et al
10-22-2020	Cluster-and-Conquer: When Randomness Meets Graph Locality by George Giakkoupis et al
10-20-2020	A Federated Learning Approach to Anomaly Detection in Smart Buildings by Raed Abdel Sater et al
10-23-2020	Coping with Label Shift via Distributionally Robust Optimisation by Jingzhao Zhang et al
10-23-2020	Deep Learning Framework for Measuring the Digital Strategy of Companies from Earnings Calls by Ahmed Ghanim Al-Ali et al
10-20-2020	Real-Time Optimisation for Online Learning in Auctions by Lorenzo Croissant et al
10-20-2020	Bayesian Attention Modules by Xinjie Fan et al
10-21-2020	The Effect of the Rooney Rule on Implicit Bias in the Long Term by L. Elisa Celis et al
10-20-2020	Language Inference with Multi-head Automata through Reinforcement Learning by Alper Şekerci et al
10-21-2020	Deep Surrogate Q-Learning for Autonomous Driving by Maria Huegle et al
10-21-2020	Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS Data by Pranshu Pant et al
10-20-2020	Deep Low-Shot Learning for Biological Image Classification and Visualization from Limited Training Samples by Lei Cai et al
10-20-2020	Very Fast Streaming Submodular Function Maximization by Sebastian Buschjäger et al
10-21-2020	Conditional Mutual Information Bound for Meta Generalization Gap by Arezou Rezazadeh et al
10-23-2020	High-Throughput Image-Based Plant Stand Count Estimation Using Convolutional Neural Networks by Saeed Khaki et al
10-22-2020	Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms by Alexander Wei et al
10-21-2020	Adversarial Attacks on Deep Algorithmic Trading Policies by Yaser Faghan et al
10-21-2020	Regularised Least-Squares Regression with Infinite-Dimensional Output Space by Junhyunng Park et al
10-21-2020	Joint Blind Room Acoustic Characterization From Speech And Music Signals Using Convolutional Recurrent Neural Networks by Paul Callens et al
10-23-2020	Estimation of Cardiac Valve Annuli Motion with Deep Learning by Eric Kerfoot et al
10-22-2020	What are the Statistical Limits of Offline RL with Linear Function Approximation? by Ruosong Wang et al
10-20-2020	A practical algorithm to calculate Cap Discrepancy by Milad Bakhshizadeh et al
10-21-2020	Deterministic Approximation for Submodular Maximization over a Matroid in Nearly Linear Time by Kai Han et al
10-21-2020	Adaptive Gradient Method with Resilience and Momentum by Jie Liu et al
10-22-2020	Brain-Inspired Learning on Neuromorphic Substrates by Friedemann Zenke et al
10-21-2020	On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data by Di Wang et al
10-21-2020	Influence-Augmented Online Planning for Complex Environments by Jinke He et al
10-22-2020	On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks by Wolfgang Roth et al
10-20-2020	Knowledge Transfer for Efficient On-device False Trigger Mitigation by Pranay Dighe et al
10-23-2020	Adaptive Gradient Quantization for Data-Parallel SGD by Fartash Faghri et al
10-20-2020	A Continuous-Time Mirror Descent Approach to Sparse Phase Retrieval by Fan Wu et al
10-20-2020	Deep Importance Sampling based on Regression for Model Inversion and Emulation by F. Llorente et al
10-23-2020	An Analysis of LIME for Text Data by Dina Mardaoui et al
10-21-2020	Optimizing Planning Service Territories by Dividing Into Compact Several Sub-areas Using Binary K-means Clustering According Vehicle Constraints by Muhammad Wildan Abdul Hakim et al
10-20-2020	Feature Inference Attack on Model Predictions in Vertical Federated Learning by Xinjian Luo et al
10-23-2020	Model Interpretability through the Lens of Computational Complexity by Pablo Barceló et al
10-20-2020	Model-specific Data Subsampling with Influence Functions by Anant Raj et al
10-20-2020	ASCII: ASsisted Classification with Ignorance Interchange by Jiaying Zhou et al
10-20-2020	Model selection in reconciling hierarchical time series by Mahdi Abolghasemi et al
10-23-2020	On the Equivalence of Decoupled Graph Convolution Network and Label Propagation by Hande Dong et al
10-23-2020	Train simultaneously, generalize better: Stability of gradient-based minimax learners by Farzan Farnia et al
10-22-2020	Geometry-Aware Hamiltonian Variational Auto-Encoder by Clément Chadebec et al
10-22-2020	Malware Traffic Classification: Evaluation of Algorithms and an Automated Ground-truth Generation Pipeline by Syed Muhammad Kumail Raza et al
10-23-2020	A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios by Michael A. Hedderich et al
10-23-2020	Adversarial Learning of Feature-based Meta-Embeddings by Lukas Lange et al
10-22-2020	Nonvacuous Loss Bounds with Fast Rates for Neural Networks via Conditional Information Measures by Fredrik Hellström et al
10-20-2020	Optimistic search strategy: Change point detection for large-scale data via adaptive logarithmic queries by Solt Kovács et al
10-20-2020	Towards Understanding the Dynamics of the First-Order Adversaries by Zhun Deng et al
10-23-2020	Predicting Infectiousness for Proactive Contact Tracing by Yoshua Bengio et al
10-21-2020	Deep Hash Embedding for Large-Vocab Categorical Feature Representations by Wang-Cheng Kang et al
10-22-2020	Adversarial Attacks on Binary Image Recognition Systems by Eric Balkanski et al
10-22-2020	Joint Use of Node Attributes and Proximity for Semi-Supervised Classification on Graphs by Arpit Merchant et al
10-21-2020	Learning Speaker Embedding from Text-to-Speech by Jaejin Cho et al
10-20-2020	Graph Fairing Convolutional Networks for Anomaly Detection by Mahsa Mesgaran et al
10-20-2020	Investigating Cross-Domain Losses for Speech Enhancement by Sherif Abdulatif et al
10-22-2020	ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding by Dongling Xiao et al
10-20-2020	Is Batch Norm unique? An empirical investigation and prescription to emulate the best properties of common normalizers without batch dependence by Vinay Rao et al
10-21-2020	Ultimate Limits of Thermal Imaging by Cillian Harney et al
10-20-2020	Batch Sequential Adaptive Designs for Global Optimization by Jianhui Ning et al
10-22-2020	On the Number of Linear Functions Composing Deep Neural Network: Towards a Refined Definition of Neural Networks Complexity by Yuuki Takai et al
10-22-2020	Drift Detection in Episodic Data: Detect When Your Agent Starts Faltering by Ido Greenberg et al
10-20-2020	Line Graph Neural Networks for Link Prediction by Lei Cai et al
10-23-2020	Learning to Optimise General TSP Instances by Nasrin Sultana et al
10-23-2020	Exponential ReLU Neural Network Approximation Rates for Point and Edge Singularities by Carlo Marcati et al
10-22-2020	Adaptive extra-gradient methods for min-max optimization and games by Kimon Antonakopoulos et al
10-21-2020	Highly-scalable stochastic neuron based on Ovonic Threshold Switch (OTS) and its applications in Restricted Boltzmann Machine (RBM) by Seong-il Im et al
10-22-2020	Quiver Signal Processing (QSP) by Alejandro Parada-Mayorga et al
10-20-2020	Directed Graph Representation through Vector Cross Product by Ramanujam Madhavan et al
10-20-2020	Robust Imitation Learning from Noisy Demonstrations by Voot Tangkaratt et al
10-22-2020	Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension by Siamak Shakeri et al
10-22-2020	Optimal Approximation -- Smoothness Tradeoffs for Soft-Max Functions by Alessandro Epasto et al
10-21-2020	Logic Guided Genetic Algorithms by Dhananjay Ashok et al
10-22-2020	Hierarchical Federated Learning through LAN-WAN Orchestration by Jinliang Yuan et al
10-20-2020	Dual Averaging is Surprisingly Effective for Deep Learning Optimization by Samy Jelassi et al
10-22-2020	The Role of Mutual Information in Variational Classifiers by Matias Vera et al
10-23-2020	Reducing Bias in Modeling Real-world Password Strength via Deep Learning and Dynamic Dictionaries by Dario Pasquini et al
10-22-2020	Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime by Andrea Agazzi et al
10-20-2020	Regret-optimal control in dynamic environments by Gautam Goel et al
10-20-2020	Taming Discrete Integration via the Boon of Dimensionality by Jeffrey M. Dudek et al
10-22-2020	Neural-Symbolic Integration: A Compositional Perspective by Efthymia Tsamoura et al
10-21-2020	Beyond Lazy Training for Over-parameterized Tensor Decomposition by Xiang Wang et al
10-22-2020	The Primal-Dual method for Learning Augmented Algorithms by Étienne Bamas et al
10-22-2020	Continual Learning in Low-rank Orthogonal Subspaces by Arslan Chaudhry et al
10-22-2020	On Mean Estimation for Heteroscedastic Random Variables by Luc Devroye et al
10-23-2020	KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi by Rubungo Andre Niyongabo et al
10-20-2020	Variational Dynamic Mixtures by Chen Qiu et al
10-22-2020	Learning Augmented Energy Minimization via Speed Scaling by Étienne Bamas et al
10-20-2020	Federated Bayesian Optimization via Thompson Sampling by Zhongxiang Dai et al
10-21-2020	Random Coordinate Underdamped Langevin Monte Carlo by Zhiyan Ding et al

10-23-2020	ST-BERT: Cross-modal Language Model Pre-training For End-to-end Spoken Language Understanding by Minjeong Kim et al
10-21-2020	Anomaly Detection in a Large-scale Cloud Platform by Mohammad Saiful Islam et al
10-21-2020	Incorporating Interpretable Output Constraints in Bayesian Neural Networks by Wanqian Yang et al
10-22-2020	Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modeling by James Lu et al
10-21-2020	Differentially-Private Federated Linear Bandits by Abhimanyu Dubey et al
10-20-2020	Tongji University Undergraduate Team for the VoxCeleb Speaker Recognition Challenge2020 by Shufan Shen et al
10-21-2020	Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution by Bahareh Tolooshams et al
10-21-2020	How to Control the Error Rates of Binary Classifiers by Miloš Simić
10-20-2020	The Elliptical Potential Lemma Revisited by Alexandra Carpentier et al
10-20-2020	RDIS: Random Drop Imputation with Self-Training for Incomplete Time Series Data by Tae-Min Choi et al
10-22-2020	Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity by Shuxiao Chen et al
10-20-2020	Anisotropic Graph Convolutional Network for Semi-supervised Learning by Mahsa Mesgaran et al
10-23-2020	Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration by Priyank Agrawal et al
10-22-2020	Online Time-Varying Topology Identification via Prediction-Correction Algorithms by Alberto Natali et al
10-22-2020	Accelerating Metropolis-Hastings with Lightweight Inference Compilation by Feynman Liang et al
10-21-2020	Learning Quadrupedal Locomotion over Challenging Terrain by Joonho Lee et al
10-21-2020	High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds by Noémie Jaquier et al
10-22-2020	Robust Low-tubal-rank Tensor Completion based on Tensor Factorization and Maximum Correntopy Criterion by Yicong He et al
10-22-2020	The Turking Test: Can Language Models Understand Instructions? by Avia Efrat et al
10-22-2020	Learnability and Complexity of Quantum Samples by Murphy Yuezhen Niu et al
10-23-2020	Rescuing neural spike train models from bad MLE by Diego M. Arribas et al
10-23-2020	On Evaluating Neural Network Backdoor Defenses by Akshaj Veldanda et al
10-23-2020	Learning from missing data with the Latent Block Model by Gabriel Frisch et al
10-21-2020	Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation by Hong Shen et al
10-21-2020	Dynamic Layer Customization for Noise Robust Speech Emotion Recognition in Heterogeneous Condition Training by Alex Wilf et al
10-20-2020	An Eager Splitting Strategy for Online Decision Trees by Chaitanya Manapragada et al
10-20-2020	Early Anomaly Detection by Learning and Forecasting Behavior by Tong Zhao et al
10-22-2020	Sharp Bias-variance Tradeoffs of Hard Parameter Sharing in High-dimensional Linear Regression by Hongyang R. Zhang et al
10-22-2020	Online Structured Meta-learning by Huaxiu Yao et al
10-23-2020	An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear Bandits by Andrea Tirinzoni et al
10-21-2020	Using the Full-text Content of Academic Articles to Identify and Evaluate Algorithm Entities in the Domain of Natural Language Processing by Yuzhuo Wang et al
10-21-2020	Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training by Xiaofeng Liu et al
10-22-2020	On the impact of publicly available news and information transfer to financial markets by Metod Jazbec et al
10-23-2020	Learning to Noise: Application-Agnostic Data Sharing with Local Differential Privacy by Alex Mansbridge et al
10-22-2020	Differentially Private Learning Does Not Bound Membership Inference by Thomas Humphries et al
10-23-2020	Linearly Converging Error Compensated SGD by Eduard Gorbunov et al
10-23-2020	GraphSpeech: Syntax-Aware Graph Attention Network For Neural Speech Synthesis by Rui Liu et al
10-20-2020	Quantum Tensor Networks, Stochastic Processes, and Weighted Automata by Siddarth Srinivasan et al
10-21-2020	Self-supervised Graph Learning for Recommendation by Jiancan Wu et al
10-22-2020	Prediction of Rainfall in Rajasthan, India using Deep and Wide Neural Network by Vikas Bajpai et al
10-20-2020	Extracting Seasonal Gradual Patterns from Temporal Sequence Data Using Periodic Patterns Mining by Jerry Lonlac et al
10-22-2020	Context-aware surrogate modeling for balancing approximation and sampling costs in multi-fidelity importance sampling and Bayesian inverse problems by Terrence Alsup et al
10-23-2020	NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction by Lukas Lange et al
10-22-2020	Metapath- and Entity-aware Graph Neural Network for Recommendation by Zhiwei Han et al
10-20-2020	VENOMAVE: Clean-Label Poisoning Against Speech Recognition by Hojjat Aghakhani et al
10-21-2020	PHEW: Paths with higher edge-weights give winning tickets without training data by Shreyas Malakarjun Patil et al
10-22-2020	An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization by Le Thi Khanh Hien et al
10-22-2020	Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming by Sumanth Dathathri et al
10-22-2020	Quaternion-Valued Variational Autoencoder by Eleonora Grassucci et al
10-22-2020	Channel Estimation for Full-Duplex RIS-assisted HAPS Backhauling with Graph Attention Networks by Kürşat Tekbıyık et al
10-23-2020	Escape saddle points faster on manifolds via perturbed Riemannian stochastic recursive gradient by Andi Han et al
10-22-2020	Achieving User-Side Fairness in Contextual Bandits by Wen Huang et al
10-23-2020	Online Algorithm for Unsupervised Sequential Selection with Contextual Information by Arun Verma et al
10-22-2020	Validation of non-negative matrix factorization for assessment of atomic pair-distribution function (PDF) data in a real-time streaming context by Chia-Hao Liu et al
10-22-2020	Tensor Reordering for CNN Compression by Matej Ulicny et al
10-22-2020	Spike and slab variational Bayes for high dimensional logistic regression by Kolyan Ray et al
10-20-2020	A novel method of fuzzy time series forecasting based on interval index number and membership value using support vector machine by Kiran Bisht et al
10-21-2020	Deep Q-Network-based Adaptive Alert Threshold Selection Policy for Payment Fraud Systems in Retail Banking by Hongda Shen et al
10-22-2020	PRANK: motion Prediction based on RANKing by Yuriy Biktairov et al
10-22-2020	Position-Agnostic Multi-Microphone Speech Dereverberation by Yochai Yemini et al
10-22-2020	Towards Listening to 10 People Simultaneously: An Efficient Permutation Invariant Training of Audio Source Separation Using Sinkhorns Algorithm by Hideyuki Tachibana
10-23-2020	Online Semi-Supervised Learning with Bandit Feedback by Sohini Upadhyay et al
10-20-2020	Teacher-Student Consistency For Multi-Source Domain Adaptation by Ohad Amosy et al
10-23-2020	A Practical Guide of Off-Policy Evaluation for Bandit Problems by Masahiro Kato et al
10-22-2020	Early Anomaly Detection in Time Series: A Hierarchical Approach for Predicting Critical Health Episodes by Vitor Cerqueira et al
10-20-2020	A Lane Merge Coordination Model for a V2X Scenario by Luis Sequeira et al
10-23-2020	Regret in Online Recommendation Systems by Kaito Ariu et al
10-23-2020	On the Transformer Growth for Progressive BERT Training by Xiaotao Gu et al
10-20-2020	POND: Pessimistic-Optimistic oNline Dispatch by Xin Liu et al
10-21-2020	Tensor Train Random Projection by Yani Feng et al
10-23-2020	Speech enhancement aided end-to-end multi-task learning for voice activity detection by Xu Tan et al
10-23-2020	DualNet: Locate Then Detect Effective Payload with Deep Attention Network by Shiyi Yang et al
10-23-2020	Graph-Homomorphic Perturbations for Private Decentralized Learning by Stefan Vlaski et al
10-22-2020	Computationally and Statistically Efficient Truncated Regression by Constantinos Daskalakis et al
10-23-2020	A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization by Digvijay Boob et al
10-21-2020	How Do Fair Decisions Fare in Long-term Qualification? by Xueru Zhang et al
10-22-2020	Listening to Sounds of Silence for Speech Denoising by Ruilin Xu et al
10-22-2020	Towards falsifiable interpretability research by Matthew L. Leavitt et al
10-23-2020	A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data by Chenxi Sun et al
10-22-2020	A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric by Zekun Xu et al
10-23-2020	Algorithms for Causal Reasoning in Probability Trees by Tim Genewein et al
10-22-2020	Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction by Yingheng Wang et al
10-22-2020	Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection by Zeyi Huang et al
10-23-2020	Automated crater detection with human level performance by Christopher Lee et al
10-22-2020	A Joint Learning Approach based on Self-Distillation for Keyphrase Extraction from Scientific Documents by Tuan Manh Lai et al
10-20-2020	Where Is the Normative Proof? Assumptions and Contradictions in ML Fairness Research by A. Feder Cooper
10-22-2020	Error Bounds of Imitating Policies and Environments by Tian Xu et al
10-21-2020	Sample Efficient Reinforcement Learning with REINFORCE by Junzi Zhang et al
10-22-2020	Using Deep Image Priors to Generate Counterfactual Explanations by Vivek Narayanaswamy et al
10-22-2020	One-shot Learning for Temporal Knowledge Graphs by Mehrnoosh Mirtaheri et al
10-22-2020	DeFuzz: Deep Learning Guided Directed Fuzzing by Xiaogang Zhu et al
10-23-2020	Quantizing Multiple Sources to a Common Cluster Center: An Asymptotic Analysis by Erdem Koyuncu
10-23-2020	Approximation Methods for Kernelized Bandits by Sho Takemori et al
10-23-2020	Graph and graphon neural network stability by Luana Ruiz et al
10-21-2020	Efficient Projection-Free Algorithms for Saddle Point Problems by Cheng Chen et al
10-22-2020	A Multilinear Sampling Algorithm to Estimate Shapley Values by Ramin Okhrati et al
10-22-2020	Graph Neural Network for Large-Scale Network Localization by Wenzhong Yan et al
10-23-2020	Generating Long Financial Report using Conditional Variational Autoencoders with Knowledge Distillation by Yunpeng Ren et al
10-23-2020	Beating the market with a bad predictive model by Ondřej Hubáček et al
10-23-2020	Few-shot Learning for Decoding Brain Signals by Myriam Bontonou et al
10-20-2020	Optimising the Performance of Convolutional Neural Networks across Computing Systems using Transfer Learning by Rik Mulder et al
10-22-2020	Posterior Re-calibration for Imbalanced Datasets by Junjiao Tian et al
10-22-2020	Efficient robust optimal transport: formulations and algorithms by Pratik Jawanpuria et al
10-21-2020	UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data by Chacha Chen et al
10-22-2020	Adversarial Robustness of Supervised Sparse Coding by Jeremias Sulam et al
10-22-2020	Getting Passive Aggressive About False Positives: Patching Deployed Malware Detectors by Edward Raff et al
10-22-2020	Recovery of sparse linear classifiers from mixture of responses by Venkata Gandikota et al
10-21-2020	Learning to Plan Optimally with Flow-based Motion Planner by Tin Lai et al
10-22-2020	Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data by David Lowell et al
10-21-2020	On a Guided Nonnegative Matrix Factorization by Joshua Vendrow et al
10-23-2020	Graph Learning for Clustering Multi-view Data by Sravanthi Gurugubelli et al
10-23-2020	Network Classifiers Based on Social Learning by Virginia Bordignon et al
10-23-2020	Topic Space Trajectories: A case study on machine learning literature by Bastian Schäfermeier et al
10-23-2020	State space models for building control: how deep should you go? by Baptiste Schubnel et al
10-22-2020	Prediction of Temperature and Rainfall in Bangladesh using Long Short Term Memory Recurrent Neural Networks by Mohammad Mahmudur Rahman Khan et al
10-22-2020	Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method by Fuli Feng et al
10-23-2020	Throughput-Optimal Topology Design for Cross-Silo Federated Learning by Othmane Marfoq et al
10-23-2020	A Perspective on Machine Learning Methods in Turbulence Modelling by Andrea Beck et al
10-22-2020	Urban Sound Classification : striving towards a fair comparison by Augustin Arnault et al
10-22-2020	Sharper convergence bounds of Monte Carlo Rademacher Averages through Self-Bounding functions by Leonardo Pellegrina
10-22-2020	Quantitative analysis of robot gesticulation behavior by Unai Zabala et al
10-22-2020	Contrastive Self-Supervised Learning for Wireless Power Control by Navid Naderializadeh
10-22-2020	Scalable Bottom-Up Hierarchical Clustering by Nicholas Monath et al
10-23-2020	Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion by Qianqian Ma et al
10-22-2020	Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning by Guangxiang Zhu et al
10-22-2020	CellCycleGAN: Spatiotemporal Microscopy Image Synthesis of Cell Populations using Statistical Shape Models and Conditional GANs by Dennis Bähr et al
10-20-2020	Detection of COVID-19 through the analysis of vocal fold oscillations by Mahmoud Al Ismail et al
10-21-2020	Density of States Graph Kernels by Leo Huang et al
10-22-2020	Thresholded LASSO Bandit by Kaito Ariu et al
10-23-2020	Generative Neurosymbolic Machines by Jindong Jiang et al
10-23-2020	BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks by Di Jin et al
10-22-2020	Neural Audio Fingerprint for High-specific Audio Retrieval based on Contrastive Learning by Sungkyun Chang et al
10-20-2020	Prediction of Object Geometry from Acoustic Scattering Using Convolutional Neural Networks by Ziqi Fan et al
10-22-2020	Stability of Algebraic Neural Networks to Small Perturbations by Alejandro Parada-Mayorga et al
10-23-2020	TAMPC: A Controller for Escaping Traps in Novel Environments by Sheng Zhong et al
10-22-2020	Graph Geometry Interaction Learning by Shichao Zhu et al
10-22-2020	An Efficient Adversarial Attack for Tree Ensembles by Chong Zhang et al
10-22-2020	Reducing Adversarially Robust Learning to Non-Robust PAC Learning by Omar Montasser et al
10-22-2020	Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses by Yihan Zhou et al
10-21-2020	Pool-based sequential active learning with multi kernels by Jeongmin Chae et al
10-22-2020	Autoregressive Modeling is Misspecified for Some Sequence Distributions by Chu-Cheng Lin et al
10-22-2020	Learning Graph Laplacian with MCP by Yangjing Zhang et al
10-20-2020	Bayesian Algorithms for Decentralized Stochastic Bandits by Anusha Lalitha et al
10-22-2020	The Polynomial Method is Universal for Distribution-Free Correlational SQ Learning by Aravind Gollakota et al
10-23-2020	A Pre-training Strategy for Recommendation by Susen Yang et al
10-23-2020	Unbiased Estimation Equation under ff-Separable Bregman Distortion Measures by Masahiro Kobayashi et al
10-22-2020	One-shot Distributed Algorithm for Generalized Eigenvalue Problem by Kexin Lv et al
10-22-2020	Quantile Bandits for Best Arms Identification with Concentration Inequalities by Mengyan Zhang et al
10-22-2020	Principled Interpolation in Normalizing Flows by Samuel G. Fadel et al
10-22-2020	A Discrete Variational Recurrent Topic Model without the Reparametrization Trick by Mehdi Rezaee et al
10-22-2020	Two-sample Test using Projected Wasserstein Distance: Breaking the Curse of Dimensionality by Jie Wang et al
10-22-2020	The Pursuit of Algorithmic Fairness: On Correcting Algorithmic Unfairness in a Child Welfare Reunification Success Classifier by Jordan Purdy et al
10-21-2020	Meta-Learning Guarantees for Online Receding Horizon Control by Deepan Muthirayan et al
10-21-2020	The Role of Machine Learning for Trajectory Prediction in Cooperative Driving by Luis Sequeira et al
10-21-2020	Transferable Graph Optimizers for ML Compilers by Yanqi Zhou et al
10-22-2020	Translating Recursive Probabilistic Programs to Factor Graph Grammars by David Chiang et al
10-22-2020	Combination of Deep Speaker Embeddings for Diarisation by Guangzhi Sun et al
10-22-2020	Factor Graph Grammars by David Chiang et al