2021.2.22 Learning papers

02-17-2021	LambdaNetworks: Modeling Long-Range Interactions Without Attention by Irwan Bello
02-17-2021	Contrastive Learning Inverts the Data Generating Process by Roland S. Zimmermann et al
02-18-2021	Combinatorial optimization and reasoning with graph neural networks by Quentin Cappart et al
02-16-2021	COMBO: Conservative Offline Model-Based Policy Optimization by Tianhe Yu et al
02-16-2021	GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training by Chen Zhu et al
02-18-2021	State Entropy Maximization with Random Encoders for Efficient Exploration by Younggyo Seo et al
02-16-2021	TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models by Zhuohan Li et al
02-18-2021	Quantum field-theoretic machine learning by Dimitrios Bachtis et al
02-18-2021	Convolutional Normalization by Massimiliano Esposito et al
02-18-2021	Unbiased Teacher for Semi-Supervised Object Detection by Yen-Cheng Liu et al
02-17-2021	Generalization in Quantum Machine Learning: a Quantum Information Perspective by Leonardo Banchi et al
02-16-2021	Capturing the learning curves of generic features maps for realistic data sets with a teacher-student model by Bruno Loureiro et al
02-18-2021	Calibrate Before Use: Improving Few-Shot Performance of Language Models by Tony Z. Zhao et al
02-18-2021	Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer by Rafał Powalski et al
02-17-2021	Weakly Supervised Learning of Rigid 3D Scene Flow by Zan Gojcic et al
02-17-2021	Quiz-Style Question Generation for News Stories by Adam D. Lelkes et al
02-17-2021	CheXternal: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays and External Clinical Settings by Pranav Rajpurkar et al
02-17-2021	Centroid Transformers: Learning to Abstract with Attention by Lemeng Wu et al
02-18-2021	Delving into Deep Imbalanced Regression by Yuzhe Yang et al
02-18-2021	Clockwork Variational Autoencoders for Video Prediction by Vaibhav Saxena et al
02-16-2021	Integrating Floor Plans into Hedonic Models for Rent Price Appraisal by Kirill Solovev et al
02-18-2021	A Comprehensive Review of Deep Learning-based Single Image Super-resolution by Syed Muhammad Arsalan Bashir et al
02-18-2021	Towards a mathematical theory of trajectory inference by Hugo Lavenant et al
02-18-2021	DINO: A Conditional Energy-Based GAN for Domain Translation by Konstantinos Vougioukas et al
02-18-2021	Essentials for Class Incremental Learning by Sudhanshu Mittal et al
02-18-2021	Improved Denoising Diffusion Probabilistic Models by Alex Nichol et al
02-18-2021	A Mathematical Principle of Deep Learning: Learn the Geodesic Curve in the Wasserstein Space by Kuo Gai et al
02-18-2021	Robust PDF Document Conversion Using Recurrent Neural Networks by Nikolaos Livathinos et al
02-17-2021	NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation by Mohamed Amgad et al
02-18-2021	VAE Approximation Error: ELBO and Conditional Independence by Dmitrij Schlesinger et al
02-16-2021	IronMan: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning by Nan Wu et al
02-18-2021	Domain Adaptation for Medical Image Analysis: A Survey by Hao Guan et al
02-17-2021	Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data by Axel Elaldi et al
02-17-2021	Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection by William Scott Paka et al
02-18-2021	DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results by Liming Jiang et al
02-17-2021	Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking by Jiachen Li et al
02-17-2021	Rethinking Co-design of Neural Architectures and Hardware Accelerators by Yanqi Zhou et al
02-17-2021	BEDS: Bagging ensemble deep segmentation for nucleus segmentation with testing stage stain augmentation by Xing Li et al
02-17-2021	Bridging the Gap Between Adversarial Robustness and Optimization Bias by Fartash Faghri et al
02-18-2021	Minimizing false negative rate in melanoma detection and providing insight into the causes of classification by Ellák Somfai et al
02-18-2021	Data Poisoning Attacks and Defenses to Crowdsourcing Systems by Minghong Fang et al
02-18-2021	GradFreeBits: Gradient Free Bit Allocation for Dynamic Low Precision Neural Networks by Benjamin J. Bodner et al
02-18-2021	PLAM: a Posit Logarithm-Approximate Multiplier for Power Efficient Posit-based DNNs by Raul Murillo et al
02-16-2021	Globally-Robust Neural Networks by Klas Leino et al
02-18-2021	Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics by Kexin Huang et al
02-16-2021	Active Privacy-utility Trade-off Against a Hypothesis Testing Adversary by Ecenaz Erdemir et al
02-17-2021	BORE: Bayesian Optimization by Density-Ratio Estimation by Louis C. Tiao et al
02-17-2021	ConTraKG: Contrastive-based Transfer Learning for Visual Object Recognition using Knowledge Graphs by Sebastian Monka et al
02-16-2021	Hierarchical VAEs Know What They Dont Know by Jakob D. Havtorn et al
02-16-2021	Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning by Baiyu Peng et al
02-17-2021	Joint Continuous and Discrete Model Selection via Submodularity by Jonathan Bunton et al
02-18-2021	On the Convergence of Step Decay Step-Size for Stochastic Optimization by Xiaoyu Wang et al
02-18-2021	Meta-Transfer Learning for Low-Resource Abstractive Summarization by Yi-Syuan Chen et al
02-18-2021	Regular Expressions for Fast-response COVID-19 Text Classification by Igor L. Markov et al
02-17-2021	Few-shot Conformal Prediction with Auxiliary Tasks by Adam Fisch et al
02-16-2021	DEUP: Direct Epistemic Uncertainty Prediction by Moksh Jain et al
02-16-2021	Revisiting Language Encoding in Learning Multilingual Representations by Shengjie Luo et al
02-16-2021	Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics by Jongeun Kim et al
02-17-2021	POLA: Online Time Series Prediction by Adaptive Learning Rates by Wenyu Zhang
02-17-2021	Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n1/n Parameters by Aston Zhang et al
02-16-2021	Machine Learning Based Cyber Attacks Targeting on Controlled Information: A Survey by Yuantian Miao et al
02-16-2021	TCN: Table Convolutional Network for Web Table Interpretation by Daheng Wang et al
02-17-2021	NFCNN: Toward a Noise Fusion Convolutional Neural Network for Image Denoising by Maoyuan Xu et al
02-19-2021	A Reinforcement Learning Approach to Age of Information in Multi-User Networks with HARQ by Elif Tugce Ceran et al
02-17-2021	Deep Learning Approaches for Forecasting Strawberry Yields and Prices Using Satellite Images and Station-Based Soil Parameters by Mohita Chaudhary et al
02-18-2021	Sparse-Interest Network for Sequential Recommendation by Qiaoyu Tan et al
02-18-2021	Dynamic Memory based Attention Network for Sequential Recommendation by Qiaoyu Tan et al
02-16-2021	Dataset Condensation with Differentiable Siamese Augmentation by Bo Zhao et al
02-17-2021	Non-asymptotic approximations of neural networks by Gaussian processes by Ronen Eldan et al
02-19-2021	Hierarchical Recurrent Neural Networks for Conditional Melody Generation with Long-term Structure by Zixun Guo et al
02-19-2021	A proof of convergence for gradient descent in the training of artificial neural networks for constant target functions by Patrick Cheridito et al
02-16-2021	Differentially Private Quantiles by Jennifer Gillenwater et al
02-18-2021	Transfer Learning for Linear Regression: a Statistical Test of Gain by David Obst et al
02-16-2021	Topological Deep Learning: Classification Neural Networks by Mustafa Hajij et al
02-16-2021	Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models by Zixuan Liu et al
02-17-2021	S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration by Zhiqiang Shen et al
02-16-2021	Contextual Skipgram: Training Word Representation Using Context Information by Dongjae Kim et al
02-16-2021	EfficientLPS: Efficient LiDAR Panoptic Segmentation by Kshitij Sirohi et al
02-16-2021	Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs by Harini Suresh et al
02-17-2021	Evaluating the Performance of Some Local Optimizers for Variational Quantum Classifiers by Nisheeth Joshi et al
02-18-2021	Truncation-Free Matching System for Display Advertising at Alibaba by Jin Li et al
02-18-2021	DeepMuD: Multi-user Detection for Uplink Grant-Free NOMA IoT Networks via Deep Learning by Ahmet Emir et al
02-17-2021	FrugalMCT: Efficient Online ML API Selection for Multi-Label Classification Tasks by Lingjiao Chen et al
02-17-2021	On the Fundamental Limits of Exact Inference in Structured Prediction by Hanbyul Lee et al
02-16-2021	Boosting Deep Transfer Learning for COVID-19 Classification by Fouzia Altaf et al
02-18-2021	Fortify Machine Learning Production Systems: Detect and Classify Adversarial Attacks by Matthew Ciolino et al
02-18-2021	Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder by Shuqi Lu et al
02-18-2021	Data-driven formulation of natural laws by recursive-LASSO-based symbolic regression by Yuma Iwasaki et al
02-16-2021	Stochastic Variance Reduction for Variational Inequality Methods by Ahmet Alacaoglu et al
02-16-2021	Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications by Matthias Paulik et al
02-17-2021	How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models by Ahmed M. Alaa et al
02-16-2021	Exploring Transformers in Natural Language Generation: GPT, BERT, and XLNet by M. Onat Topal et al
02-16-2021	End-to-End Automatic Speech Recognition with Deep Mutual Learning by Ryo Masumura et al
02-16-2021	A Sub-band Approach to Deep Denoising Wavelet Networks and a Frequency-adaptive Loss for Perceptual Quality by Caglar Aytekin et al
02-18-2021	Robust and Differentially Private Mean Estimation by Xiyang Liu et al
02-17-2021	EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks by Ozan Ozdenizci et al
02-18-2021	A matrix approach to detect temporal behavioral patterns at electric vehicle charging stations by Milan Straka et al
02-18-2021	Optimizing Black-box Metrics with Iterative Example Weighting by Gaurush Hiranandani et al
02-16-2021	An AutoML-based Approach to Multimodal Image Sentiment Analysis by Vasco Lopes et al
02-17-2021	Enhanced Magnetic Resonance Image Synthesis with Contrast-Aware Generative Adversarial Networks by Jonas Denck et al
02-16-2021	Smoothed Analysis with Adaptive Adversaries by Nika Haghtalab et al
02-16-2021	A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization by Risheng Liu et al
02-18-2021	Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning by Desmond Cai et al
02-18-2021	ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks by Dmitry Kovalev et al
02-17-2021	On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification by Alejandro Barredo Arrieta et al
02-18-2021	Deep Neural Networks based Invisible Steganography for Audio-into-Image Algorithm by Quang Pham Huu et al
02-16-2021	Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies by Gabriele Pergola et al
02-19-2021	Training cascaded networks for speeded decisions using a temporal-difference loss by Michael L. Iuzzolino et al
02-17-2021	No-Substitution kk-means Clustering with Low Center Complexity and Memory by Robi Bhattacharjee et al
02-17-2021	Using Distance Correlation for Efficient Bayesian Optimization by Takuya Kanazawa
02-17-2021	Domain Generalization Needs Stochastic Weight Averaging for Robustness on Domain Shifts by Junbum Cha et al
02-19-2021	Model-Invariant State Abstractions for Model-Based Reinforcement Learning by Manan Tomar et al
02-17-2021	Improving Hierarchical Adversarial Robustness of Deep Neural Networks by Avery Ma et al
02-17-2021	Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder by Huajian Fang et al
02-18-2021	L2E: Learning to Exploit Your Opponent by Zhe Wu et al
02-16-2021	A Thorough View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy by Kevin Bello et al
02-16-2021	Analysis of feature learning in weight-tied autoencoders via the mean field lens by Phan-Minh Nguyen
02-16-2021	RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents by Wei Qiu et al
02-16-2021	Large-Context Conversational Representation Learning: Self-Supervised Learning for Conversational Documents by Ryo Masumura et al
02-18-2021	Reinforcement Learning for Datacenter Congestion Control by Chen Tessler et al
02-17-2021	Differential Private Hogwild! over Distributed Local Data Sets by Marten van Dijk et al
02-18-2021	Randomized Exploration is Near-Optimal for Tabular MDP by Zhihan Xiong et al
02-16-2021	Learning Invariant Representations using Inverse Contrastive Loss by Aditya Kumar Akash et al
02-16-2021	Axial Residual Networks for CycleGAN-based Voice Conversion by Jaeseong You et al
02-17-2021	Evolving GAN Formulations for Higher Quality Image Synthesis by Santiago Gonzalez et al
02-18-2021	Causal Inference Q-Network: Toward Resilient Reinforcement Learning by Chao-Han Huck Yang et al
02-18-2021	A Machine Learning model of the combination of normalized SD1 and SD2 indexes from 24h-Heart Rate Variability as a predictor of myocardial infarction by Antonio Carlos Silva-Filho et al
02-17-2021	Preventing Posterior Collapse Induced by Oversmoothing in Gaussian VAE by Yuhta Takida et al
02-16-2021	Evaluating Node Embeddings of Complex Networks by Arash Dehghan-Kooshkghazi et al
02-18-2021	SeaPearl: A Constraint Programming Solver guided by Reinforcement Learning by Félix Chalumeau et al
02-16-2021	Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images by Kartikeya Badola et al
02-16-2021	EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search by Vasco Lopes et al
02-18-2021	Off-policy Confidence Sequences by Nikos Karampatziakis et al
02-17-2021	Coupled Feature Learning for Multimodal Medical Image Fusion by Farshad G. Veshki et al
02-18-2021	Knowledge Hypergraph Embedding Meets Relational Algebra by Bahare Fatemi et al

02-17-2021	Open-Retrieval Conversational Machine Reading by Yifan Gao et al
02-18-2021	Unsupervised Clustering of Time Series Signals using Neuromorphic Energy-Efficient Temporal Neural Networks by Shreyas Chaudhari et al
02-19-2021	Supporting Financial Inclusion with Graph Machine Learning and Super-App Alternative Data by Luisa Roa et al
02-19-2021	Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections by Naoya Takeishi et al
02-16-2021	Mode-Assisted Joint Training of Deep Boltzmann Machines by Haik Manukian et al
02-16-2021	StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling by Eugene Seo et al
02-16-2021	Faster Kernel Matrix Algebra via Density Estimation by Arturs Backurs et al
02-16-2021	Composing Pick-and-Place Tasks By Grounding Language by Oier Mees et al
02-17-2021	Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm by Bin Gu et al
02-18-2021	Permutation-Based SGD: Is Random Optimal? by Shashank Rajput et al
02-19-2021	ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising by Kanggeun Lee et al
02-16-2021	Context-Aware Prosody Correction for Text-Based Speech Editing by Max Morrison et al
02-18-2021	Reduced-Order Neural Network Synthesis with Robustness Guarantees by Ross Drummond et al
02-16-2021	Topological Obstructions to Autoencoding by Joshua Batson et al
02-19-2021	Condensed Composite Memory Continual Learning by Felix Wiewel et al
02-16-2021	Steadily Learn to Drive with Virtual Memory by Yuhang Zhang et al
02-18-2021	Boosting for Online Convex Optimization by Elad Hazan et al
02-18-2021	Learning Continuous Exponential Families Beyond Gaussian by Christopher X. Ren et al
02-17-2021	Leveraging Public Data for Practical Private Query Release by Terrance Liu et al
02-18-2021	Continuous Doubly Constrained Batch Reinforcement Learning by Rasool Fakoor et al
02-18-2021	Learning Memory-Dependent Continuous Control from Demonstrations by Siqing Hou et al
02-19-2021	Implicit Regularization in Tensor Factorization by Noam Razin et al
02-17-2021	Counterfactual Inference of the Mean Outcome under a Convergence of Average Logging Probability by Masahiro Kato
02-16-2021	Improving Deep-learning-based Semi-supervised Audio Tagging with Mixup by Léo Cances et al
02-16-2021	EDITH :ECG biometrics aided by Deep learning for reliable Individual auTHentication by Nabil Ibtehaz et al
02-17-2021	DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection by David S. Johnson et al
02-16-2021	Transferability of Neural Network-based De-identification Systems by Kahyun Lee et al
02-16-2021	Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients by Artem Artemev et al
02-17-2021	Muddling Labels for Regularization, a novel approach to generalization by Karim Lounici et al
02-16-2021	Enhancing Hierarchical Information by Using Metric Cones for Graph Embedding by Daisuke Takehara et al
02-17-2021	Differentially Private Correlation Clustering by Mark Bun et al
02-17-2021	Distributed Algorithms for Linearly-Solvable Optimal Control in Networked Multi-Agent Systems by Neng Wan et al
02-16-2021	Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression by Junhyung Park et al
02-19-2021	PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting by Ismat Jarin et al
02-19-2021	Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task Hierarchy by Nicolas Duminy et al
02-18-2021	Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem by Adarsh Barik et al
02-18-2021	Center Smoothing for Certifiably Robust Vector-Valued Functions by Aounon Kumar et al
02-18-2021	AI-SARAH: Adaptive and Implicit Stochastic Recursive Gradient Methods by Zheng Shi et al
02-18-2021	Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm by Yasunori Akagi et al
02-16-2021	Joint self-supervised blind denoising and noise estimation by Jean Ollion et al
02-18-2021	Dont Fix What aint Broke: Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization by Guodong Zhang et al
02-17-2021	Online Optimization and Learning in Uncertain Dynamical Environments with Performance Guarantees by Dan Li et al
02-18-2021	Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction by Ayaan Haque et al
02-17-2021	Fully General Online Imitation Learning by Michael K. Cohen et al
02-18-2021	Convex regularization in statistical inverse learning problems by Tatiana A. Bubba et al
02-16-2021	Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models by Qi Wang et al
02-18-2021	Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm by Sajad Khodadadian et al
02-19-2021	Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space by Wilko Schwarting et al
02-19-2021	Output-Weighted Sampling for Multi-Armed Bandits with Extreme Payoffs by Yibo Yang et al
02-16-2021	Training Stacked Denoising Autoencoders for Representation Learning by Jason Liang et al
02-17-2021	Switch Spaces: Learning Product Spaces with Sparse Gating by Shuai Zhang et al
02-16-2021	Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation by Justin Fu et al
02-16-2021	Follow-the-Regularized-Leader Routes to Chaos in Routing Games by Jakub Bielawski et al
02-16-2021	From Majorization to Interpolation: Distributionally Robust Learning using Kernel Smoothing by Jia-Jie Zhu et al
02-16-2021	COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining by Yu Meng et al
02-16-2021	A Law of Robustness for Weight-bounded Neural Networks by Hisham Husain et al
02-16-2021	Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation by Elizabeth Fons et al
02-17-2021	NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Technique by Steph-Yves Louis et al
02-17-2021	Estimate Three-Phase Distribution Line Parameters With Physics-Informed Graphical Learning Method by Wenyu Wang et al
02-17-2021	Time Matters in Using Data Augmentation for Vision-based Deep Reinforcement Learning by Byungchan Ko et al
02-16-2021	Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity by Georgios Amanatidis et al
02-16-2021	Successive Pruning for Model Compression via Rate Distortion Theory by Berivan Isik et al
02-17-2021	DO-GAN: A Double Oracle Framework for Generative Adversarial Networks by Aye Phyu Phyu Aung et al
02-19-2021	Local Convergence of Adaptive Gradient Descent Optimizers by Sebastian Bock et al
02-16-2021	Spatio-Temporal Multi-step Prediction of Influenza Outbreaks by Jie Zhang et al
02-17-2021	Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training by Kai Sheng Tai et al
02-16-2021	Constructing Multiclass Classifiers using Binary Classifiers Under Log-Loss by Assaf Ben-Yishai et al
02-18-2021	A Deep Embedded Refined Clustering Approach for Breast Cancer Distinction based on DNA Methylation by del Amor Rocío et al
02-16-2021	Efficient Competitions and Online Learning with Strategic Forecasters by Rafael Frongillo et al
02-16-2021	Adversarial Targeted Forgetting in Regularization and Generative Based Continual Learning Models by Muhammad Umer et al
02-19-2021	On Approximation in Deep Convolutional Networks: a Kernel Perspective by Alberto Bietti
02-16-2021	Lexicographically Fair Learning: Algorithms and Generalization by Emily Diana et al
02-19-2021	Sim-Env: Decoupling OpenAI Gym Environments from Simulation Models by Andreas Schuderer et al
02-17-2021	On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method by Junyu Zhang et al
02-18-2021	A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model by Md Nazmul Islam Shuzan et al
02-16-2021	Differential Privacy and Byzantine Resilience in SGD: Do They Add Up? by Rachid Guerraoui et al
02-18-2021	Closing the Closed-Loop Distribution Shift in Safe Imitation Learning by Stephen Tu et al
02-16-2021	Temporal-Amount Snapshot MultiGraph for Ethereum Transaction Tracking by Yunyi Xie et al
02-16-2021	Improper Learning with Gradient-based Policy Optimization by Mohammadi Zaki et al
02-16-2021	Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments by Amin Rakhsha et al
02-17-2021	Training Aware Sigmoidal Optimizer by David Macêdo et al
02-16-2021	The Randomized Elliptical Potential Lemma with an Application to Linear Thompson Sampling by Nima Hamidi et al
02-16-2021	Re-identification of Individuals in Genomic Datasets Using Public Face Images by Rajagopal Venkatesaramani et al
02-19-2021	An Algorithm for Stochastic and Adversarial Bandits with Switching Costs by Chloé Rouyer et al
02-17-2021	Chance-Constrained Active Inference by Thijs van de Laar et al
02-17-2021	Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids by Jiangnan Li et al
02-17-2021	Consistent Non-Parametric Methods for Adaptive Robustness by Robi Bhattacharjee et al
02-19-2021	Applications of deep learning in traffic congestion alleviation: A survey by Nishant Kumar et al
02-18-2021	Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks by Raphael Baena et al
02-18-2021	Composable Generative Models by Johan Leduc et al
02-17-2021	Dissecting Supervised Constrastive Learning by Florian Graf et al
02-16-2021	Scaling Neuroscience Research using Federated Learning by Dimitris Stripelis et al
02-17-2021	Robust Domain-Free Domain Generalization with Class-aware Alignment by Wenyu Zhang et al
02-18-2021	Strategic bidding in freight transport using deep reinforcement learning by Wouter van Heeswijk
02-19-2021	Learning to Stop with Surprisingly Few Samples by Tianyi Zhang et al
02-16-2021	An Effort to Measure Customer Relationship Performance in Indonesias Fintech Industry by Alisya Putri Rabbani et al
02-17-2021	Group Equivariant Conditional Neural Processes by Makoto Kawano et al
02-18-2021	Recurrent Rational Networks by Quentin Delfosse et al
02-17-2021	Geostatistical Learning: Challenges and Opportunities by Júlio Hoffimann et al
02-16-2021	Making the most of your day: online learning for optimal allocation of time by Etienne Boursier et al
02-16-2021	Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks by Lemeng Wu et al
02-19-2021	Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning by Luofeng Liao et al
02-19-2021	Analytics and Machine Learning in Vehicle Routing Research by Ruibin Bai et al
02-16-2021	Simple statistical models and sequential deep learning for Lithium-ion batteries degradation under dynamic conditions: Fractional Polynomials vs Neural Networks by Clara B. Salucci et al
02-16-2021	Classification of multivariate weakly-labelled time-series with attention by Surayez Rahman et al
02-19-2021	TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning by Minchao Wu et al
02-18-2021	Domain Adaptive Learning Based on Sample-Dependent and Learnable Kernels by Xinlong Lu et al
02-19-2021	Resolving the Disparate Impact of Uncertainty: Affirmative Action vs. Affirmative Information by Claire Lazar Reich
02-19-2021	Gaussian Process Regression in Logarithmic Time by Adrien Corenflos et al
02-16-2021	Complex Momentum for Learning in Games by Jonathan Lorraine et al
02-16-2021	Label Leakage and Protection in Two-party Split Learning by Oscar Li et al
02-16-2021	Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare by Sangwon Seo et al
02-17-2021	Unbiased Estimations based on Binary Classifiers: A Maximum Likelihood Approach by Marco J. H. Puts et al
02-18-2021	Edge Sparse Basis Network: An Deep Learning Framework for EEG Source Localization by Chen Wei et al
02-19-2021	Artificially Synthesising Data for Audio Classification and Segmentation to Improve Speech and Music Detection in Radio Broadcast by Satvik Venkatesh et al
02-16-2021	A Federated Data-Driven Evolutionary Algorithm by Jinjin Xu et al
02-18-2021	Efficient Distributed Auto-Differentiation by Bradley T. Baker et al
02-18-2021	A Bit Better? Quantifying Information for Bandit Learning by Adithya M. Devraj et al
02-18-2021	Data-Aware Device Scheduling for Federated Edge Learning by Afaf Taik et al
02-19-2021	E(n) Equivariant Graph Neural Networks by Victor Garcia Satorras et al
02-16-2021	Message Passing Descent for Efficient Machine Learning by Francesco Concetti et al
02-18-2021	Improving DeepFake Detection Using Dynamic Face Augmentation by Sowmen Das et al
02-16-2021	End-to-end lyrics Recognition with Voice to Singing Style Transfer by Sakya Basak et al
02-16-2021	Self-Triggered Markov Decision Processes by Yunhan Huang et al
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