2021.15.2 Learning papers

02-11-2021	High-Performance Large-Scale Image Recognition Without Normalization by Andrew Brock et al
02-09-2021	Patterns, predictions, and actions: A story about machine learning by Moritz Hardt et al
02-11-2021	Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision by Chao Jia et al
02-09-2021	Reverb: A Framework For Experience Replay by Albin Cassirer et al
02-11-2021	Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals by Wouter Van Gansbeke et al
02-12-2021	Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations by Winnie Xu et al
02-09-2021	SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks by Bahare Fatemi et al
02-12-2021	Explaining Neural Scaling Laws by Yasaman Bahri et al
02-11-2021	The Barrier of meaning in archaeological data science by Luca Casini et al
02-10-2021	Self-Supervised VQ-VAE For One-Shot Music Style Transfer by Ondřej Cífka et al
02-11-2021	Neural BRDF Representation and Importance Sampling by Alejandro Sztrajman et al
02-10-2021	NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting by Kai Chen et al
02-10-2021	Towards More Fine-grained and Reliable NLP Performance Prediction by Zihuiwen Ye et al
02-11-2021	Private Prediction Sets by Anastasios N. Angelopoulos et al
02-11-2021	Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels by Roberto Vega et al
02-11-2021	The Deepfake Detection Dilemma: A Multistakeholder Exploration of Adversarial Dynamics in Synthetic Media by Claire Leibowicz et al
02-11-2021	Comparative Analysis of Machine Learning Approaches to Analyze and Predict the Covid-19 Outbreak by Muhammad Naeem et al
02-09-2021	A Deep Learning Approach for Characterizing Major Galaxy Mergers by Skanda Koppula et al
02-09-2021	More Is More -- Narrowing the Generalization Gap by Adding Classification Heads by Roee Cates et al
02-10-2021	Representation Matters: Offline Pretraining for Sequential Decision Making by Mengjiao Yang et al
02-10-2021	Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification by Sobhan Moosavi et al
02-10-2021	Two Novel Performance Improvements for Evolving CNN Topologies by Yaron Strauch et al
02-11-2021	Searching for Pneumothorax in X-Ray Images Using Autoencoded Deep Features by Antonio Sze-To et al
02-11-2021	ABOShips -- An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations by Bogdan Iancu et al
02-11-2021	Sequential Sentence Classification in Research Papers using Cross-Domain Multi-Task Learning by Arthur Brack et al
02-10-2021	Hyperbolic Generative Adversarial Network by Diego Lazcano et al
02-09-2021	End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving by Der-Hau Lee et al
02-10-2021	Derivative-Free Reinforcement Learning: A Review by Hong Qian et al
02-10-2021	Differentiable Implicit Soft-Body Physics by Junior Rojas et al
02-10-2021	Sparse-Push: Communication- & Energy-Efficient Decentralized Distributed Learning over Directed & Time-Varying Graphs with non-IID Datasets by Sai Aparna Aketi et al
02-10-2021	Reinforcement Learning for Optimized Beam Training in Multi-Hop Terahertz Communications by Arian Ahmadi et al
02-11-2021	Hedging of Financial Derivative Contracts via Monte Carlo Tree Search by Oleg Szehr
02-11-2021	On Deep Learning with Label Differential Privacy by Badih Ghazi et al
02-09-2021	Proximal Gradient Descent-Ascent: Variable Convergence under K{\L} Geometry by Ziyi Chen et al
02-10-2021	Customizing Contextualized Language Models forLegal Document Reviews by Shohreh Shaghaghian et al
02-12-2021	A Large Batch Optimizer Reality Check: Traditional, Generic Optimizers Suffice Across Batch Sizes by Zachary Nado et al
02-09-2021	When does gradient descent with logistic loss interpolate using deep networks with smoothed ReLU activations? by Niladri S. Chatterji et al
02-09-2021	A Provably Convergent Information Bottleneck Solution via ADMM by Teng-Hui Huang et al
02-11-2021	A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries by Antonio Vergari et al
02-10-2021	Reproducibility Report: La-MAML: Look-ahead Meta Learning for Continual Learning by Joel Joseph et al
02-10-2021	Addressing the Topological Defects of Disentanglement via Distributed Operators by Diane Bouchacourt et al
02-09-2021	On the Universal Transformation of Data-Driven Models to Control Systems by Sebastian Peitz et al
02-09-2021	Fine-Grained Gap-Dependent Bounds for Tabular MDPs via Adaptive Multi-Step Bootstrap by Haike Xu et al
02-10-2021	Towards Certifying ℓ∞ℓ∞ Robustness using Neural Networks with ℓ∞ℓ∞-dist Neurons by Bohang Zhang et al
02-12-2021	Optimizing Inference Performance of Transformers on CPUs by Dave Dice et al
02-09-2021	Policy Augmentation: An Exploration Strategy for Faster Convergence of Deep Reinforcement Learning Algorithms by Arash Mahyari
02-10-2021	Refinement of polygonal grids using Convolutional Neural Networks with applications to polygonal Discontinous Galerkin and Virtual Element methods by P. F. Antonietti et al
02-11-2021	Proof Artifact Co-training for Theorem Proving with Language Models by Jesse Michael Han et al
02-09-2021	FLOP: Federated Learning on Medical Datasets using Partial Networks by Qian Yang et al
02-10-2021	Causal Inference for Time series Analysis: Problems, Methods and Evaluation by Raha Moraffah et al
02-09-2021	Where is my hand? Deep hand segmentation for visual self-recognition in humanoid robots by Alexandre Almeida et al
02-10-2021	Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation by Jinwei Xing et al
02-09-2021	Generative Models as Distributions of Functions by Emilien Dupont et al
02-09-2021	A Single-Timescale Stochastic Bilevel Optimization Method by Tianyi Chen et al
02-10-2021	Enhancing Real-World Adversarial Patches with 3D Modeling Techniques by Yael Mathov et al
02-11-2021	Testing Framework for Black-box AI Models by Aniya Aggarwal et al
02-09-2021	Attention-Based Neural Networks for Chroma Intra Prediction in Video Coding by Marc Górriz et al
02-12-2021	Semantically-Conditioned Negative Samples for Efficient Contrastive Learning by James O' Neill et al
02-10-2021	Non-stationary Reinforcement Learning without Prior Knowledge: An Optimal Black-box Approach by Chen-Yu Wei et al
02-09-2021	AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units by Yilmazcan Özyurt et al
02-10-2021	Faster Maximum Feasible Subsystem Solutions for Dense Constraint Matrices by Fereshteh Fakhar Firouzeh et al
02-09-2021	Facial Expression Recognition on a Quantum Computer by Riccardo Mengoni et al
02-10-2021	Reference-based Texture transfer for Single Image Super-resolution of Magnetic Resonance images by Madhu Mithra K K et al
02-09-2021	Input Similarity from the Neural Network Perspective by Guillaume Charpiat et al
02-10-2021	Dysplasia grading of colorectal polyps through CNN analysis of WSI by Daniele Perlo et al
02-09-2021	MALI: A memory efficient and reverse accurate integrator for Neural ODEs by Juntang Zhuang et al
02-10-2021	On the Regularity of Attention by James Vuckovic et al
02-09-2021	Moving Object Classification with a Sub-6 GHz Massive MIMO Array using Real Data by B. R. Manoj et al
02-10-2021	Defense Against Reward Poisoning Attacks in Reinforcement Learning by Kiarash Banihashem et al
02-09-2021	Sparsification via Compressed Sensing for Automatic Speech Recognition by Kai Zhen et al
02-11-2021	Quadric hypersurface intersection for manifold learning in feature space by Fedor Pavutnitskiy et al
02-10-2021	RoBIC: A benchmark suite for assessing classifiers robustness by Thibault Maho et al
02-09-2021	Distribution Adaptive INT8 Quantization for Training CNNs by Kang Zhao et al
02-09-2021	COLOGNE: Coordinated Local Graph Neighborhood Sampling by Konstantin Kutzkov
02-11-2021	The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms by Lorena Qendro et al
02-12-2021	Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization by Christina Runkel et al
02-10-2021	A Framework of Inertial Alternating Direction Method of Multipliers for Non-Convex Non-Smooth Optimization by Le Thi Khanh Hien et al
02-12-2021	Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness by Vien V. Mai et al
02-09-2021	Tr\aumerAI: Dreaming Music with StyleGAN by Dasaem Jeong et al
02-10-2021	Argmax Flows and Multinomial Diffusion: Towards Non-Autoregressive Language Models by Emiel Hoogeboom et al
02-10-2021	Sequential change-point detection for mutually exciting point processes over networks by Haoyun Wang et al
02-10-2021	Personalization for Web-based Services using Offline Reinforcement Learning by Pavlos Athanasios Apostolopoulos et al
02-09-2021	Sub-seasonal forecasting with a large ensemble of deep-learning weather prediction models by Jonathan A. Weyn et al
02-12-2021	Min-Max-Plus Neural Networks by Ye Luo et al
02-09-2021	Deep Neural Network based Cough Detection using Bed-mounted Accelerometer Measurements by Madhurananda Pahar et al
02-10-2021	Stability of SGD: Tightness Analysis and Improved Bounds by Yikai Zhang et al
02-10-2021	Robust estimation of tree structured models by Marta Casanellas et al
02-10-2021	Real-Time Likelihood-free Inference of Roman Binary Microlensing Events with Amortized Neural Posterior Estimation by Keming Zhang et al
02-09-2021	Driver2vec: Driver Identification from Automotive Data by Jingbo Yang et al
02-11-2021	Feature Selection for Multivariate Time Series via Network Pruning by Kang Gu et al
02-10-2021	Novel Techniques to Assess Predictive Systems and Reduce Their Alarm Burden by Jonathan A. Handler et al
02-10-2021	Energy-Harvesting Distributed Machine Learning by Basak Guler et al
02-12-2021	Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier Perspective by Chaoning Zhang et al
02-11-2021	Robust Generalization and Safe Query-Specialization in Counterfactual Learning to Rank by Harrie Oosterhuis et al
02-09-2021	Robust Motion In-betweening by Félix G. Harvey et al
02-11-2021	SLS (Single ℓ1ℓ1 Selection): a new greedy algorithm with an ℓ1ℓ1-norm selection rule by Ramzi Ben Mhenni et al
02-10-2021	Robustness in Compressed Neural Networks for Object Detection by Sebastian Cygert et al
02-10-2021	Risk-Averse Bayes-Adaptive Reinforcement Learning by Marc Rigter et al
02-11-2021	Causal Discovery of a River Network from its Extremes by Ngoc Mai Tran et al
02-11-2021	Investigating Trade-offs in Utility, Fairness and Differential Privacy in Neural Networks by Marlotte Pannekoek et al
02-11-2021	Some Hoeffding- and Bernstein-type Concentration Inequalities by Andreas Maurer et al
02-09-2021	Artificial Intelligence based Autonomous Molecular Design for Medical Therapeutic: A Perspective by Rajendra P. Joshi et al
02-12-2021	A Too-Good-to-be-True Prior to Reduce Shortcut Reliance by Nikolay Dagaev et al
02-09-2021	Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning by Wenhao Li et al
02-10-2021	Self-supervised learning for fast and scalable time series hyper-parameter tuning by Peiyi Zhang et al
02-12-2021	Confounding Tradeoffs for Neural Network Quantization by Sahaj Garg et al
02-11-2021	Personalized Visualization Recommendation by Xin Qian et al
02-11-2021	Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent by Rishav Chourasia et al
02-09-2021	Whats in the box?!: Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models by Sahar Abdelnabi et al
02-09-2021	Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances by Kiri Wagstaff et al

02-09-2021	Regression Oracles and Exploration Strategies for Short-Horizon Multi-Armed Bandits by Robert C. Gray et al
02-12-2021	Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning by Yifan Zhang et al
02-10-2021	Voice Cloning: a Multi-Speaker Text-to-Speech Synthesis Approach based on Transfer Learning by Giuseppe Ruggiero et al
02-11-2021	Variational Bayesian Sequence-to-Sequence Networks for Memory-Efficient Sign Language Translation by Harris Partaourides et al
02-09-2021	Sequence-based Machine Learning Models in Jet Physics by Rafael Teixeira de Lima
02-10-2021	Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub by Xuan Lu et al
02-12-2021	Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction by Dominik Narnhofer et al
02-10-2021	Robust Policy Gradient against Strong Data Corruption by Xuezhou Zhang et al
02-09-2021	Learning Multi-Modal Volumetric Prostate Registration with Weak Inter-Subject Spatial Correspondence by Oleksii Bashkanov et al
02-10-2021	Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels by Zhaowei Zhu et al
02-09-2021	Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation by Xianghao Zhan et al
02-11-2021	Defuse: Harnessing Unrestricted Adversarial Examples for Debugging Models Beyond Test Accuracy by Dylan Slack et al
02-11-2021	Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model by Gustavo Oliveira et al
02-11-2021	Disentangled Representations from Non-Disentangled Models by Valentin Khrulkov et al
02-12-2021	Annotation Cleaning for the MSR-Video to Text Dataset by Haoran Chen et al
02-10-2021	Information Prediction using Knowledge Graphs for Contextual Malware Threat Intelligence by Nidhi Rastogi et al
02-10-2021	Nonlocal metasurfaces for spectrally decoupled wavefront manipulation and eye tracking by Jung-Hwan Song et al
02-09-2021	Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data by Tao Lin et al
02-09-2021	Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning by Xiaoteng Ma et al
02-11-2021	Demarcating Endogenous and Exogenous Opinion Dynamics: An Experimental Design Approach by Paramita Koley et al
02-09-2021	Ensembling object detectors for image and video data analysis by Kateryna Chumachenko et al
02-10-2021	BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction by Yuhang Li et al
02-10-2021	On the Existence of Optimal Transport Gradient for Learning Generative Models by Antoine Houdard et al
02-11-2021	Personalized Embedding-based e-Commerce Recommendations at eBay by Tian Wang et al
02-09-2021	Local and Global Uniform Convexity Conditions by Thomas Kerdreux et al
02-11-2021	BoMb-OT: On Batch of Mini-batches Optimal Transport by Khai Nguyen et al
02-11-2021	Multi-Task Reinforcement Learning with Context-based Representations by Shagun Sodhani et al
02-11-2021	Privacy-Preserving Self-Taught Federated Learning for Heterogeneous Data by Kai-Fung Chu et al
02-10-2021	Hybrid In-memory Computing Architecture for the Training of Deep Neural Networks by Vinay Joshi et al
02-12-2021	Modeling Dynamic User Interests: A Neural Matrix Factorization Approach by Paramveer Dhillon et al
02-11-2021	Straggler-Resilient Distributed Machine Learning with Dynamic Backup Workers by Guojun Xiong et al
02-10-2021	Finding the Stochastic Shortest Path with Low Regret: The Adversarial Cost and Unknown Transition Case by Liyu Chen et al
02-10-2021	SCA-Net: A Self-Correcting Two-Layer Autoencoder for Hyper-spectral Unmixing by Gurpreet Singh et al
02-09-2021	Automatic variational inference with cascading flows by Luca Ambrogioni et al
02-11-2021	Meta-Thompson Sampling by Branislav Kveton et al
02-12-2021	Deep Reinforcement Learning for Backup Strategies against Adversaries by Pascal Debus et al
02-11-2021	COVID-19 detection from scarce chest x-ray image data using deep learning by Shruti Jadon
02-10-2021	Anomaly Detection through Transfer Learning in Agriculture and Manufacturing IoT Systems by Mustafa Abdallah et al
02-09-2021	Continuous-Time Model-Based Reinforcement Learning by Çağatay Yıldız et al
02-12-2021	Two Training Strategies for Improving Relation Extraction over Universal Graph by Qin Dai et al
02-09-2021	Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach by Yikai Zhang et al
02-10-2021	Online Deterministic Annealing for Classification and Clustering by Christos Mavridis et al
02-11-2021	Fairness Through Regularization for Learning to Rank by Nikola Konstantinov et al
02-09-2021	Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement by Andrew Slavin Ross et al
02-11-2021	COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing by Md. Kamrul Hasan et al
02-09-2021	Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent State by Shi Dong et al
02-12-2021	Adversarial Branch Architecture Search for Unsupervised Domain Adaptation by Luca Robbiano et al
02-12-2021	A Parameterised Quantum Circuit Approach to Point Set Matching by Mohammadreza Noormandipour et al
02-12-2021	Bias-Free Scalable Gaussian Processes via Randomized Truncations by Andres Potapczynski et al
02-12-2021	Jacobian Determinant of Normalizing Flows by Huadong Liao et al
02-11-2021	Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices by Yuhong Song et al
02-09-2021	Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19 by Logan Ward et al
02-10-2021	Lenient Regret and Good-Action Identification in Gaussian Process Bandits by Xu Cai et al
02-11-2021	Mixed State Entanglement Classification using Artificial Neural Networks by Cillian Harney et al
02-10-2021	Meta Federated Learning by Omid Aramoon et al
02-10-2021	Simple and Near-Optimal MAP Inference for Nonsymmetric DPPs by Nima Anari et al
02-10-2021	Learning Equational Theorem Proving by Jelle Piepenbrock et al
02-09-2021	On Theory-training Neural Networks to Infer the Solution of Highly Coupled Differential Equations by M. Torabi Rad et al
02-09-2021	Large-Scale Training System for 100-Million Classification at Alibaba by Liuyihan Song et al
02-09-2021	Reinforcement Learning For Constraint Satisfaction Game Agents (15-Puzzle, Minesweeper, 2048, and Sudoku) by Anav Mehta
02-12-2021	Disturbing Reinforcement Learning Agents with Corrupted Rewards by Rubén Majadas et al
02-12-2021	PAC-BUS: Meta-Learning Bounds via PAC-Bayes and Uniform Stability by Alec Farid et al
02-11-2021	Fairness-Aware Learning from Corrupted Data by Nikola Konstantinov et al
02-12-2021	Projected Wasserstein gradient descent for high-dimensional Bayesian inference by Yifei Wang et al
02-11-2021	SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data by Chi Ian Tang et al
02-11-2021	Adversarial Poisoning Attacks and Defense for General Multi-Class Models Based On Synthetic Reduced Nearest Neighbors by Pooya Tavallali et al
02-11-2021	Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems by Laurent Pagnier et al
02-09-2021	Memory-Associated Differential Learning by Yi Luo et al
02-12-2021	Certified Defenses: Why Tighter Relaxations May Hurt Training? by Nikola Jovanović et al
02-12-2021	Proximal and Federated Random Reshuffling by Konstantin Mishchenko et al
02-09-2021	Inapproximability of Minimizing a Pair of DNFs or Binary Decision Trees Defining a Partial Boolean Function by David Stein et al
02-09-2021	Output Perturbation for Differentially Private Convex Optimization with Improved Population Loss Bounds, Runtimes and Applications to Private Adversarial Training by Andrew Lowy et al
02-12-2021	MetaGrad: Adaptation using Multiple Learning Rates in Online Learning by Tim van Erven et al
02-10-2021	Bayesian Inference with Certifiable Adversarial Robustness by Matthew Wicker et al
02-09-2021	MISO-wiLDCosts: Multi Information Source Optimization with Location Dependent Costs by Antonio Candelieri et al
02-12-2021	Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning by Gen Li et al
02-12-2021	Bayesian Quadrature on Riemannian Data Manifolds by Christian Fröhlich et al
02-10-2021	Deep learning approaches to surrogates for solving the diffusion equation for mechanistic real-world simulations by J. Quetzalcóatl Toledo-Marín et al
02-12-2021	Bayesian Neural Network Priors Revisited by Vincent Fortuin et al
02-09-2021	Consensus Control for Decentralized Deep Learning by Lingjing Kong et al
02-10-2021	Predicting Customer Lifetime Values -- ecommerce use case by Ziv Pollak
02-10-2021	Deep Variational Autoencoder with Shallow Parallel Path for Top-N Recommendation (VASP) by Vojtěch Vančura et al
02-12-2021	Cockpit: A Practical Debugging Tool for Training Deep Neural Networks by Frank Schneider et al
02-12-2021	Guided Variational Autoencoder for Speech Enhancement With a Supervised Classifier by Guillaume Carbajal et al
02-12-2021	Deep Sound Field Reconstruction in Real Rooms: Introducing the ISOBEL Sound Field Dataset by Miklas Strøm Kristoffersen et al
02-12-2021	ReLU Neural Networks for Exact Maximum Flow Computation by Christoph Hertrich et al
02-12-2021	Exploiting Spline Models for the Training of Fully Connected Layers in Neural Network by Kanya Mo et al
02-10-2021	On the Suboptimality of Thompson Sampling in High Dimensions by Raymond Zhang et al
02-10-2021	Early Performance Prediction using Interpretable Patterns in Programming Process Data by Ge Gao et al
02-12-2021	DeepGLEAM: an hybrid mechanistic and deep learning model for COVID-19 forecasting by Dongxia Wu et al
02-09-2021	On Explainability of Graph Neural Networks via Subgraph Explorations by Hao Yuan et al
02-10-2021	Detecting corruption in single-bidder auctions via positive-unlabelled learning by Natalya Goryunova et al
02-10-2021	Node-Level Membership Inference Attacks Against Graph Neural Networks by Xinlei He et al
02-11-2021	Speech enhancement with mixture-of-deep-experts with clean clustering pre-training by Shlomo E. Chazan et al
02-09-2021	On the Hardness of PAC-learning stabilizer States with Noise by Aravind Gollakota et al
02-10-2021	CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection by Hanshu Yan et al
02-09-2021	AuGPT: Dialogue with Pre-trained Language Models and Data Augmentation by Jonáš Kulhánek et al
02-09-2021	Backdoor Scanning for Deep Neural Networks through K-Arm Optimization by Guangyu Shen et al
02-11-2021	EvoSplit: An evolutionary approach to split a multi-label data set into disjoint subsets by Francisco Florez-Revuelta
02-12-2021	Bootstrapped Representation Learning on Graphs by Shantanu Thakoor et al
02-10-2021	The importance of understanding instance-level noisy labels by Yang Liu
02-09-2021	Measuring Progress in Deep Reinforcement Learning Sample Efficiency by Florian E. Dorner
02-10-2021	On Minibatch Noise: Discrete-Time SGD, Overparametrization, and Bayes by Liu Ziyin et al
02-10-2021	Agnostic Proper Learning of Halfspaces under Gaussian Marginals by Ilias Diakonikolas et al
02-11-2021	PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification by Dominique Mercier et al
02-09-2021	Noisy Recurrent Neural Networks by Soon Hoe Lim et al
02-09-2021	CDPAM: Contrastive learning for perceptual audio similarity by Pranay Manocha et al
02-09-2021	Learning State Representations from Random Deep Action-conditional Predictions by Zeyu Zheng et al
02-12-2021	End-to-End Intelligent Framework for Rockfall Detection by Thanasis Zoumpekas et al
02-12-2021	Pareto Optimal Model Selection in Linear Bandits by Yinglun Zhu et al
02-12-2021	Neural Architecture Search as Program Transformation Exploration by Jack Turner et al
02-10-2021	Player Modeling via Multi-Armed Bandits by Robert C. Gray et al
02-12-2021	How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection? by Ming-Chang Lee et al
02-12-2021	Enhancing into the codec: Noise Robust Speech Coding with Vector-Quantized Autoencoders by Jonah Casebeer et al
02-11-2021	OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking by Glenn Dawson et al
02-12-2021	Sequential Neural Posterior and Likelihood Approximation by Samuel Wiqvist et al
02-11-2021	Deep Reinforcement Agent for Scheduling in HPC by Yuping Fan et al
02-11-2021	Regret, stability, and fairness in matching markets with bandit learners by Sarah H. Cen et al
02-10-2021	Conditional Versus Adversarial Euler-based Generators For Time Series by Carl Remlinger et al
02-09-2021	RL for Latent MDPs: Regret Guarantees and a Lower Bound by Jeongyeol Kwon et al
02-12-2021	Explaining predictive models using Shapley values and non-parametric vine copulas by Kjersti Aas et al
02-12-2021	Leveraging Global Parameters for Flow-based Neural Posterior Estimation by Pedro L. C. Rodrigues et al
02-09-2021	Classification of Imbalanced Credit scoring data sets Based on Ensemble Method with the Weighted-Hybrid-Sampling by Xiaofan Liua et al
02-10-2021	Inductive Granger Causal Modeling for Multivariate Time Series by Yunfei Chu et al
02-11-2021	Partially Observed Exchangeable Modeling by Yang Li et al
02-12-2021	Content-Aware Speaker Embeddings for Speaker Diarisation by G. Sun et al
02-12-2021	A Non-Intrusive Machine Learning Solution for Malware Detection and Data Theft Classification in Smartphones by Sai Vishwanath Venkatesh et al
02-12-2021	The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation by Peter Kairouz et al
02-09-2021	Boosting Template-based SSVEP Decoding by Cross-domain Transfer Learning by Kuan-Jung Chiang et al
02-09-2021	Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication by Muah Kim et al
02-09-2021	rl_reach: Reproducible Reinforcement Learning Experiments for Robotic Reaching Tasks by Pierre Aumjaud et al
02-09-2021	Learning How to Search: Generating Effective Test Cases Through Adaptive Fitness Function Selection by Hussein Almulla et al
02-09-2021	Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network by Tomáš Chobola et al

02-12-2021	Robust and integrative Bayesian neural networks for likelihood-free parameter inference by Fredrik Wrede et al
02-10-2021	Fast Classification Learning with Neural Networks and Conceptors for Speech Recognition and Car Driving Maneuvers by Stefanie Krause et al
02-11-2021	Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with Delayed Gradients by Xingyu Li et al
02-11-2021	On Automatic Parsing of Log Records by Jared Rand et al
02-09-2021	CaPC Learning: Confidential and Private Collaborative Learning by Christopher A. Choquette-Choo et al
02-10-2021	On PyTorch Implementation of Density Estimators for von Mises-Fisher and Its Mixture by Minyoung Kim
02-10-2021	On Disentanglement in Gaussian Process Variational Autoencoders by Simon Bing et al
02-12-2021	A model for traffic incident prediction using emergency braking data by Alexander Reichenbach et al
02-10-2021	Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision by Julien Scholz et al
02-11-2021	Uncertainty Propagation in Convolutional Neural Networks: Technical Report by Christos Tzelepis et al
02-11-2021	Efficient Algorithms for Federated Saddle Point Optimization by Charlie Hou et al
02-09-2021	Meta-Learning for Koopman Spectral Analysis with Short Time-series by Tomoharu Iwata et al
02-10-2021	Risk-Averse Offline Reinforcement Learning by Núria Armengol Urpí et al
02-12-2021	Interpretable Predictive Maintenance for Hard Drives by Maxime Amram et al
02-11-2021	What does LIME really see in images? by Damien Garreau et al
02-12-2021	Online Graph Dictionary Learning by Cédric Vincent-Cuaz et al
02-09-2021	Consensus Based Multi-Layer Perceptrons for Edge Computing by Haimonti Dutta et al
02-09-2021	Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies by Federico Cacciamani et al
02-10-2021	Forecasting Nonnegative Time Series via Sliding Mask Method (SMM) and Latent Clustered Forecast (LCF) by Yohann de Castro et al
02-10-2021	Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov noise by Chicheng Zhang et al
02-11-2021	AutoScore: An Automated Warning Score Model for the Early Prediction of Clinical Events by Ibrahim Hammoud et al
02-10-2021	MAIN: Multihead-Attention Imputation Networks by Spyridon Mouselinos et al
02-12-2021	A Critical Look At The Identifiability of Causal Effects with Deep Latent Variable Models by Severi Rissanen et al
02-11-2021	Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding by David Bouget et al
02-10-2021	Explaining Inference Queries with Bayesian Optimization by Brandon Lockhart et al
02-10-2021	Dompteur: Taming Audio Adversarial Examples by Thorsten Eisenhofer et al
02-09-2021	Dynamic Mode Decomposition of inertial particle caustics in Taylor-Green flow by Omstavan Samant et al
02-09-2021	Making Paper Reviewing Robust to Bid Manipulation Attacks by Ruihan Wu et al
02-11-2021	Learning local regularization for variational image restoration by Jean Prost et al
02-12-2021	Scalable Bayesian Inverse Reinforcement Learning by Alex J. Chan et al
02-09-2021	kk-Anonymity in Practice: How Generalisation and Suppression Affect Machine Learning Classifiers by Djordje Slijepčević et al
02-12-2021	Sparse Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation by Alberto Caron et al
02-11-2021	Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously by Chung-Wei Lee et al
02-09-2021	Clinical BCI Challenge-WCCI2020: RIGOLETTO -- RIemannian GeOmetry LEarning, applicaTion To cOnnectivity by Marie-Constance Corsi et al
02-10-2021	GuiltyWalker: Distance to illicit nodes in the Bitcoin network by Catarina Oliveira et al
02-12-2021	A Computability Perspective on (Verified) Machine Learning by Tonicha Crook et al
02-12-2021	Do-calculus enables causal reasoning with latent variable models by Sara Mohammad-Taheri et al
02-09-2021	Task-Optimal Exploration in Linear Dynamical Systems by Andrew Wagenmaker et al
02-09-2021	Point Cloud Transformers applied to Collider Physics by Vinicius Mikuni et al
02-11-2021	Predicting Clinical Deterioration in Hospitals by Laleh Jalali et al
02-12-2021	Contrastive Unsupervised Learning for Speech Emotion Recognition by Mao Li et al
02-12-2021	SCOUT: Socially-COnsistent and UndersTandable Graph Attention Network for Trajectory Prediction of Vehicles and VRUs by Sandra Carrasco et al
02-09-2021	Locally Adaptive Label Smoothing for Predictive Churn by Dara Bahri et al
02-09-2021	Spherical Message Passing for 3D Graph Networks by Yi Liu et al
02-09-2021	Learning a powerful SVM using piece-wise linear loss functions by Pritam Anand
02-09-2021	Pairwise Weights for Temporal Credit Assignment by Zeyu Zheng et al
02-10-2021	Using hardware performance counters to speed up autotuning convergence on GPUs by Jiří Filipovič et al
02-11-2021	No-Regret Algorithms for Time-Varying Bayesian Optimization by Xingyu Zhou et al
02-12-2021	Data Analytics and Machine Learning Methods, Techniques and Tool for Model-Driven Engineering of Smart IoT Services by Armin Moin
02-10-2021	Adversarial Robustness: What fools you makes you stronger by Grzegorz Głuch et al
02-09-2021	Robust Bandit Learning with Imperfect Context by Jianyi Yang et al
02-11-2021	When and How Mixup Improves Calibration by Linjun Zhang et al
02-12-2021	Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia by Yiping Jin et al
02-11-2021	Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge by Trent Kyono et al
02-11-2021	Unsupervised Extractive Summarization using Pointwise Mutual Information by Vishakh Padmakumar et al
02-10-2021	An exact solver for the Weston-Watkins SVM subproblem by Yutong Wang et al
02-11-2021	Continuum: Simple Management of Complex Continual Learning Scenarios by Arthur Douillard et al
02-10-2021	Learning Interaction-Aware Trajectory Predictions for Decentralized Multi-Robot Motion Planning in Dynamic Environments by Hai Zhu et al
02-10-2021	Last Query Transformer RNN for knowledge tracing by SeungKee Jeon
02-12-2021	Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors by Julian Büchel et al
02-09-2021	Provable Defense Against Delusive Poisoning by Lue Tao et al
02-10-2021	Development of Crop Yield Estimation Model using Soil and Environmental Parameters by Nisar Ahmed et al
02-11-2021	On Agnostic PAC Learning using L2L2-polynomial Regression and Fourier-based Algorithms by Mohsen Heidari et al
02-09-2021	Fast discovery of multidimensional subsequences for robust trajectory classification by Tarlis Portela et al
02-09-2021	Adversarially Robust Classifier with Covariate Shift Adaptation by Jay Nandy et al
02-09-2021	Target Training Does Adversarial Training Without Adversarial Samples by Blerta Lindqvist
02-12-2021	Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks by Yujun Yan et al
02-12-2021	VitrAI -- Applying Explainable AI in the Real World by Marc Hanussek et al
02-10-2021	Systematic Generalization for Predictive Control in Multivariate Time Series by Hritik Bansal et al
02-09-2021	Graph-Aided Online Multi-Kernel Learning by Pouya M Ghari et al
02-09-2021	A Multi-Arm Bandit Approach To Subset Selection Under Constraints by Ayush Deva et al
02-09-2021	Attentive Gaussian processes for probabilistic time-series generation by Kuilin Chen et al
02-12-2021	The Symmetry between Bandits and Knapsacks: A Primal-Dual LP-based Approach by Xiaocheng Li et al
02-12-2021	Broad-UNet: Multi-scale feature learning for nowcasting tasks by Jesus Garcia Fernandez et al
02-09-2021	Multi-GPU SNN Simulation with Perfect Static Load Balancing by Dennis Bautembach et al
02-11-2021	DEEPF0: End-To-End Fundamental Frequency Estimation for Music and Speech Signals by Satwinder Singh et al
02-12-2021	Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks by Hansheng Xue et al
02-10-2021	An Efficient Pessimistic-Optimistic Algorithm for Constrained Linear Bandits by Xin Liu et al
02-09-2021	Robust Federated Learning with Attack-Adaptive Aggregation by Ching Pui Wan et al
02-09-2021	Adversarial Perturbations Are Not So Weird: Entanglement of Robust and Non-Robust Features in Neural Network Classifiers by Jacob M. Springer et al
02-09-2021	Label Smoothed Embedding Hypothesis for Out-of-Distribution Detection by Dara Bahri et al
02-12-2021	Dynamic Precision Analog Computing for Neural Networks by Sahaj Garg et al
02-09-2021	Estimation and Applications of Quantiles in Deep Binary Classification by Anuj Tambwekar et al
02-09-2021	Classifier Calibration: with implications to threat scores in cybersecurity by Waleed A. Yousef et al
02-09-2021	Domain Invariant Representation Learning with Domain Density Transformations by A. Tuan Nguyen et al
02-09-2021	Emotion Transfer Using Vector-Valued Infinite Task Learning by Alex Lambert et al
02-11-2021	A reproduction of Apples bi-directional LSTM models for language identification in short strings by Mads Toftrup et al
02-11-2021	Knowledge Infused Policy Gradients for Adaptive Pandemic Control by Kaushik Roy et al
02-11-2021	Sample-Optimal PAC Learning of Halfspaces with Malicious Noise by Jie Shen
02-11-2021	Unsupervised Ground Metric Learning using Wasserstein Eigenvectors by Geert-Jan Huizing et al
02-11-2021	Towards DeepSentinel: An extensible corpus of labelled Sentinel-1 and -2 imagery and a general-purpose sensor-fusion semantic embedding model by Lucas Kruitwagen
02-09-2021	Statistical Inference for Polyak-Ruppert Averaged Zeroth-order Stochastic Gradient Algorithm by Yanhao Jin et al
02-10-2021	Leveraging Reinforcement Learning for evaluating Robustness of KNN Search Algorithms by Pramod Vadiraja et al
02-11-2021	Mutually exciting point process graphs for modelling dynamic networks by Francesco Sanna Passino et al
02-09-2021	Scheduling the NASA Deep Space Network with Deep Reinforcement Learning by Edwin Goh et al
02-09-2021	Nonstochastic Bandits with Infinitely Many Experts by X. Flora Meng et al
02-09-2021	Using Deep LSD to build operators in GANs latent space with meaning in real space by J. Quetzalcoatl Toledo-Marin et al
02-10-2021	An Optimal Witness Function for Two-Sample Testing by Jonas M. Kübler et al
02-11-2021	An Investigation of End-to-End Models for Robust Speech Recognition by Archiki Prasad et al
02-10-2021	Dynamic ββ-VAEs for quantifying biodiversity by clustering optically recorded insect signals by Klas Rydhmer et al
02-11-2021	Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data by Amila Silva et al
02-09-2021	Early Abandoning and Pruning for Elastic Distances by Matthieu Herrmann et al
02-10-2021	An Ensemble Deep Convolutional Neural Network Model for Electricity Theft Detection in Smart Grids by Hossein Mohammadi Rouzbahani et al
02-09-2021	Advanced Ore Mine Optimisation under Uncertainty Using Evolution by William Reid et al
02-10-2021	Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification by Kailong Liu et al
02-11-2021	Large Scale Distributed Collaborative Unlabeled Motion Planning with Graph Policy Gradients by Arbaaz Khan et al
02-09-2021	Bounded Memory Active Learning through Enriched Queries by Max Hopkins et al
02-10-2021	Comparison of Machine Learning Classifiers to Predict Patient Survival and Genetics of GBM: Towards a Standardized Model for Clinical Implementation by Luca Pasquini et al
02-09-2021	Regularization Strategies for Quantile Regression by Taman Narayan et al
02-11-2021	A Multi-View Approach To Audio-Visual Speaker Verification by Leda Sarı et al
02-09-2021	Enhancing Audio Augmentation Methods with Consistency Learning by Turab Iqbal et al
02-11-2021	Optimization Issues in KL-Constrained Approximate Policy Iteration by Nevena Lazić et al
02-11-2021	Learning Gaussian-Bernoulli RBMs using Difference of Convex Functions Optimization by Vidyadhar Upadhya et al
02-11-2021	Higher Order Generalization Error for First Order Discretization of Langevin Diffusion by Mufan Bill Li et al