2021.11.1 Learning papers

10-27-2021	Learning Domain Invariant Representations in Goal-conditioned Block MDPs by Beining Han et al
10-29-2021	Crowd-sensing Enhanced Parking Patrol using Sharing Bikes Trajectories by Tianfu He et al
10-26-2021	Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning by Junsu Kim et al
10-26-2021	Mining frequency-based sequential trajectory co-clusters by Yuri Santos et al
10-27-2021	Fuzzy Generative Adversarial Networks by Ryan Nguyen et al
10-27-2021	Deep learning via message passing algorithms based on belief propagation by Carlo Lucibello et al
10-27-2021	Reinforcement Learning in Factored Action Spaces using Tensor Decompositions by Anuj Mahajan et al
10-28-2021	A Pre-processing Method for Fairness in Ranking by Ryosuke Sonoda
10-26-2021	Topologically penalized regression on manifolds by Olympio Hacquard et al
10-28-2021	DOCKSTRING: easy molecular docking yields better benchmarks for ligand design by Miguel García-Ortegón et al
10-26-2021	How to transfer algorithmic reasoning knowledge to learn new algorithms? by Louis-Pascal A. C. Xhonneux et al
10-26-2021	NeuroComb: Improving SAT Solving with Graph Neural Networks by Wenxi Wang et al
10-28-2021	Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework by Lifan Yuan et al
10-27-2021	Generalizability of density functionals learned from differentiable programming on weakly correlated spin-polarized systems by Bhupalee Kalita et al
10-26-2021	Gradient Descent on Two-layer Nets: Margin Maximization and Simplicity Bias by Kaifeng Lyu et al
10-28-2021	Thermodynamics of Evolution and the Origin of Life by Vitaly Vanchurin et al
10-29-2021	Improved FRQI on superconducting processors and its restrictions in the NISQ era by Alexander Geng et al
10-27-2021	Cascaded Classifier for Pareto-Optimal Accuracy-Cost Trade-Off Using off-the-Shelf ANNs by Cecilia Latotzke et al
10-29-2021	Topological Relational Learning on Graphs by Yuzhou Chen et al
10-28-2021	Trading via Selective Classification by Nestoras Chalkidis et al
10-27-2021	Does the Data Induce Capacity Control in Deep Learning? by Yang Rubing et al
10-26-2021	DPCOVID: Privacy-Preserving Federated Covid-19 Detection by Trang-Thi Ho et al
10-27-2021	Localized Super Resolution for Foreground Images using U-Net and MR-CNN by Umashankar Kumaravelan et al
10-28-2021	MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy by Benedek Rozemberczki et al
10-28-2021	Using Non-Linear Causal Models to Study Aerosol-Cloud Interactions in the Southeast Pacific by Andrew Jesson et al
10-28-2021	Cooperative Deep QQ-learning Framework for Environments Providing Image Feedback by Krishnan Raghavan et al
10-28-2021	How to boost autoencoders? by Sai Krishna et al
10-27-2021	CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks by Haotian Xue et al
10-29-2021	Deconvolutional Networks on Graph Data by Jia Li et al
10-29-2021	Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation by Josep Lluis Berral et al
10-26-2021	Distributed Multi-Agent Deep Reinforcement Learning Framework for Whole-building HVAC Control by Vinay Hanumaiah et al
10-26-2021	Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning by Siyuan Zhang et al
10-26-2021	EDLaaS; Fully Homomorphic Encryption Over Neural Network Graphs by George Onoufriou et al
10-29-2021	Xi-Learning: Successor Feature Transfer Learning for General Reward Functions by Chris Reinke et al
10-29-2021	Physics-informed linear regression is a competitive approach compared to Machine Learning methods in building MPC by Felix Bünning et al
10-28-2021	Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment by Tung M. Luu et al
10-27-2021	Scalable Bayesian Network Structure Learning with Splines by Charupriya Sharma et al
10-27-2021	(Almost) Free Incentivized Exploration from Decentralized Learning Agents by Chengshuai Shi et al
10-27-2021	TMBuD: A dataset for urban scene building detection by Orhei Ciprian et al
10-27-2021	End-to-end LSTM based estimation of volcano event epicenter localization by Nestor Becerra Yoma et al
10-28-2021	Improving Causal Effect Estimation of Weighted RegressionBased Estimator using Neural Networks by Plabon Shaha et al
10-26-2021	iALS++: Speeding up Matrix Factorization with Subspace Optimization by Steffen Rendle et al
10-26-2021	Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning by Yongchan Kwon et al
10-26-2021	Conflict-Averse Gradient Descent for Multi-task Learning by Bo Liu et al
10-28-2021	URLB: Unsupervised Reinforcement Learning Benchmark by Michael Laskin et al
10-26-2021	Cant Fool Me: Adversarially Robust Transformer for Video Understanding by Divya Choudhary et al
10-27-2021	Streaming Generalized Canonical Polyadic Tensor Decompositions by Eric Phipps et al
10-27-2021	Towards a Theory of Evolution as Multilevel Learning by Vitaly Vanchurin et al
10-27-2021	DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention by David Mguni et al
10-27-2021	Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components by Nate Veldt et al
10-27-2021	RIM: Reliable Influence-based Active Learning on Graphs by Wentao Zhang et al
10-28-2021	Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning by Hengrui Cai et al
10-27-2021	Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond by Đ. Khuê Lê-Huu et al
10-26-2021	Meta-learning with an Adaptive Task Scheduler by Huaxiu Yao et al
10-27-2021	Learning from demonstrations with SACR2: Soft Actor-Critic with Reward Relabeling by Jesus Bujalance Martin et al
10-27-2021	Tight FPT Approximation for Constrained k-Center and k-Supplier by Dishant Goyal et al
10-27-2021	Finite Horizon Q-learning: Stability, Convergence and Simulations by Vivek VP et al
10-27-2021	Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data by Gongfan Fang et al
10-27-2021	VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries by Pablo Sanchez-Martin et al
10-27-2021	Towards Realistic Single-Task Continuous Learning Research for NER by Justin Payan et al
10-27-2021	Validation Methods for Energy Time Series Scenarios from Deep Generative Models by Eike Cramer et al
10-27-2021	Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching by Pierre-Alexandre Kamienny et al
10-26-2021	Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning by Jongjin Park et al
10-28-2021	Generating 3D Molecules Conditional on Receptor Binding Sites with Deep Generative Models by Matthew Ragoza et al
10-27-2021	Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination by Jongmin Yu et al
10-26-2021	Adversarial Online Learning with Variable Plays in the Pursuit-Evasion Game: Theoretical Foundations and Application in Connected and Automated Vehicle Cybersecurity by Yiyang Wang et al
10-26-2021	Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee by Flint Xiaofeng Fan et al
10-26-2021	Temporal Knowledge Distillation for On-device Audio Classification by Kwanghee Choi et al
10-27-2021	Stabilising viscous extensional flows using Reinforcement Learning by Marco Vona et al
10-26-2021	Data-driven decomposition of brain dynamics with principal component analysis in different types of head impacts by Xianghao Zhan et al
10-27-2021	Transfer learning with causal counterfactual reasoning in Decision Transformers by Ayman Boustati et al
10-26-2021	The Difficulty of Passive Learning in Deep Reinforcement Learning by Georg Ostrovski et al
10-27-2021	Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attribution by Silvia Corbara et al
10-27-2021	Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning by Milad Abdollahzadeh et al
10-27-2021	Online Selective Classification with Limited Feedback by Aditya Gangrade et al
10-28-2021	From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence by Nicholas Roy et al
10-27-2021	V2iFi: in-Vehicle Vital Sign Monitoring via Compact RF Sensing by Tianyue Zheng et al
10-26-2021	CloudFindr: A Deep Learning Cloud Artifact Masker for Satellite DEM Data by Kalina Borkiewicz et al
10-27-2021	A Sequence to Sequence Model for Extracting Multiple Product Name Entities from Dialog by Praneeth Gubbala et al
10-28-2021	A first-order primal-dual method with adaptivity to local smoothness by Maria-Luiza Vladarean et al
10-26-2021	Arbitrary Distribution Modeling with Censorship in Real-Time Bidding Advertising by Xu Li et al
10-26-2021	Brain-inspired feature exaggeration in generative replay for continual learning by Jack Millichamp et al
10-27-2021	Active-LATHE: An Active Learning Algorithm for Boosting the Error Exponent for Learning Homogeneous Ising Trees by Fengzhuo Zhang et al
10-28-2021	Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes by Andrew Bennett et al
10-26-2021	Collaborative Uncertainty in Multi-Agent Trajectory Forecasting by Bohan Tang et al
10-29-2021	Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System by Simon Vanneste et al
10-29-2021	Comparing Machine Learning-Centered Approaches for Forecasting Language Patterns During Frustration in Early Childhood by Arnav Bhakta et al
10-27-2021	Learning Diverse Policies in MOBA Games via Macro-Goals by Yiming Gao et al
10-27-2021	Robust Contrastive Learning Using Negative Samples with Diminished Semantics by Songwei Ge et al
10-27-2021	Simple data balancing achieves competitive worst-group-accuracy by Badr Youbi Idrissi et al
10-27-2021	QU-net++: Image Quality Detection Framework for Segmentation of 3D Medical Image Stacks by Sohini Roychowdhury
10-27-2021	Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models by Phil Chen et al
10-26-2021	Scale-Free Adversarial Multi-Armed Bandit with Arbitrary Feedback Delays by Jiatai Huang et al
10-26-2021	Revisiting randomized choices in isolation forests by David Cortes
10-27-2021	Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance by Justin Lim et al
10-27-2021	Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation by Di Jin et al
10-27-2021	SIM-ECG: A Signal Importance Mask-driven ECGClassification System by Dharma KC et al
10-27-2021	An Operator Theoretic Perspective on Pruning Deep Neural Networks by William T. Redman et al
10-28-2021	Exoplanet atmosphere evolution: emulation with random forests by James G. Rogers et al
10-28-2021	Wasserstein Distance Maximizing Intrinsic Control by Ishan Durugkar et al
10-28-2021	Counterfactual Explanation of Brain Activity Classifiers using Image-to-Image Transfer by Generative Adversarial Network by Teppei Matsui et al
10-28-2021	Understanding How Encoder-Decoder Architectures Attend by Kyle Aitken et al
10-27-2021	Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks by Jianhong Wang et al
10-26-2021	Learning Robust Controllers Via Probabilistic Model-Based Policy Search by Valentin Charvet et al
10-27-2021	The chemical space of terpenes: insights from data science and AI by Morteza Hosseini et al
10-27-2021	Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection by Matteo Papini et al
10-28-2021	Fighting the curse of dimensionality: A machine learning approach to finding global optima by Julian F. Schumann et al
10-29-2021	Bayesian Optimal Experimental Design for Simulator Models of Cognition by Simon Valentin et al
10-26-2021	MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge by Geng Yuan et al
10-28-2021	Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data by Junjiao Tian et al
10-26-2021	Learning-Augmented kk-means Clustering by Jon Ergun et al
10-29-2021	Adaptive Discretization in Online Reinforcement Learning by Sean R. Sinclair et al
10-27-2021	Failure-averse Active Learning for Physics-constrained Systems by Cheolhei Lee et al
10-27-2021	L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization by Jiaqi Gu et al
10-26-2021	Revisiting the Performance of iALS on Item Recommendation Benchmarks by Steffen Rendle et al
10-26-2021	Surrogate Regret Bounds for Polyhedral Losses by Rafael Frongillo et al
10-26-2021	Post-processing for Individual Fairness by Felix Petersen et al
10-26-2021	Tackling Oversmoothing of GNNs with Contrastive Learning by Lecheng Zheng et al
10-27-2021	Combining Vagueness Detection with Deep Learning to Identify Fake News by Paul Guélorget et al
10-28-2021	What makes us curious? analysis of a corpus of open-domain questions by Zhaozhen Xu et al
10-26-2021	Distributional Reinforcement Learning for Multi-Dimensional Reward Functions by Pushi Zhang et al
10-26-2021	AugMax: Adversarial Composition of Random Augmentations for Robust Training by Haotao Wang et al
10-26-2021	Eigencurve: Optimal Learning Rate Schedule for SGD on Quadratic Objectives with Skewed Hessian Spectrums by Rui Pan et al
10-26-2021	Probabilistic Entity Representation Model for Chain Reasoning over Knowledge Graphs by Nurendra Choudhary et al
10-26-2021	BioGrad: Biologically Plausible Gradient-Based Learning for Spiking Neural Networks by Guangzhi Tang et al
10-26-2021	Towards Robust Bisimulation Metric Learning by Mete Kemertas et al
10-26-2021	Provable Lifelong Learning of Representations by Xinyuan Cao et al
10-26-2021	Tight Concentrations and Confidence Sequences from the Regret of Universal Portfolio by Francesco Orabona et al
10-26-2021	Improving Local Effectiveness for Global robust training by Jingyue Lu et al
10-29-2021	On the Feasibility of Predicting Questions being Forgotten in Stack Overflow by Thi Huyen Nguyen et al
10-27-2021	FedPrune: Towards Inclusive Federated Learning by Muhammad Tahir Munir et al
10-28-2021	Universal Decision Models by Sridhar Mahadevan
10-28-2021	Conditioning Sparse Variational Gaussian Processes for Online Decision-making by Wesley J. Maddox et al
10-28-2021	FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding by Sai Qian Zhang et al
10-26-2021	Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification by Maximilian Stadler et al
10-28-2021	Privacy Aware Person Detection in Surveillance Data by Sander De Coninck et al
10-28-2021	Explaining Latent Representations with a Corpus of Examples by Jonathan Crabbé et al
10-29-2021	GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily by Lun Du et al
10-27-2021	An ℓpℓp-based Kernel Conditional Independence Test by Meyer Scetbon et al
10-26-2021	Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks by Yonggan Fu et al
10-28-2021	AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis by Junfeng Guo et al
10-28-2021	Deep Calibration of Interest Rates Model by Mohamed Ben Alaya et al
10-27-2021	Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers by Jeffrey Negrea et al
10-28-2021	Aggregation as Unsupervised Learning and its Evaluation by Maria Ulan et al
10-28-2021	Deep Learning Aided Routing for Space-Air-Ground Integrated Networks Relying on Real Satellite, Flight, and Shipping Data by Dong Liu et al
10-27-2021	Dream to Explore: Adaptive Simulations for Autonomous Systems by Zahra Sheikhbahaee et al
10-27-2021	Beyond Classification: Knowledge Distillation using Multi-Object Impressions by Gaurav Kumar Nayak et al
10-28-2021	OneFlow: Redesign the Distributed Deep Learning Framework from Scratch by Jinhui Yuan et al
10-26-2021	Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes by Sanghyun Hong et al
10-26-2021	Stable Anderson Acceleration for Deep Learning by Massimiliano Lupo Pasini et al
10-26-2021	Diversity and Generalization in Neural Network Ensembles by Luis A. Ortega et al
10-27-2021	MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification by Jiancheng Yang et al
10-27-2021	Masked LARk: Masked Learning, Aggregation and Reporting worKflow by Joseph J. Pfeiffer et al
10-26-2021	Min-similarity association rules for identifying past comorbidities of recurrent ED and inpatient patients by Luoluo Liu et al
10-26-2021	Relay Variational Inference: A Method for Accelerated Encoderless VI by Amir Zadeh et al
10-26-2021	Online Variational Filtering and Parameter Learning by Andrew Campbell et al
10-28-2021	Guided Evolution for Neural Architecture Search by Vasco Lopes et al
10-26-2021	A Closer Look at Reference Learning for Fourier Phase Retrieval by Tobias Uelwer et al
10-27-2021	Accelerating Gradient-based Meta Learner by Varad Pimpalkhute et al
10-29-2021	Automatic Hand Sign Recognition: Identify Unusuality through Latent Cognizance by Pisit Nakjai et al
10-26-2021	Machine learning spectral functions in lattice QCD by S. -Y. Chen et al
10-28-2021	Generating Table Vector Representations by Aneta Koleva et al
10-27-2021	Node-wise Localization of Graph Neural Networks by Zemin Liu et al
10-27-2021	Feature selection revisited in the single-cell era by Pengyi Yang et al
10-29-2021	Variational Bayesian Optimistic Sampling by Brendan O'Donoghue et al
10-27-2021	Exploring single-song autoencoding schemes for audio-based music structure analysis by Axel Marmoret et al

10-26-2021	Video-based fully automatic assessment of open surgery suturing skills by Adam Goldbraikh et al
10-26-2021	The Value of Information When Deciding What to Learn by Dilip Arumugam et al
10-27-2021	Multilayer Lookahead: a Nested Version of Lookahead by Denys Pushkin et al
10-28-2021	XDEEP-MSI: Explainable Bias-Rejecting Microsatellite Instability Deep Learning System In Colorectal Cancer by Aurelia Bustos et al
10-29-2021	Learning to Be Cautious by Montaser Mohammedalamen et al
10-28-2021	Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language by Mingyu Ding et al
10-27-2021	CBIR using Pre-Trained Neural Networks by Agnel Lazar Alappat et al
10-28-2021	Lightweight Mobile Automated Assistant-to-physician for Global Lower-resource Areas by Chao Zhang et al
10-26-2021	Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling by Yu-Ying Liu et al
10-26-2021	Leveraging Local Temporal Information for Multimodal Scene Classification by Saurabh Sahu et al
10-26-2021	Controllable Data Augmentation Through Deep Relighting by George Chogovadze et al
10-27-2021	Validating Gaussian Process Models with Simulation-Based Calibration by John Mcleod et al
10-28-2021	FeO2: Federated Learning with Opt-Out Differential Privacy by Nasser Aldaghri et al
10-29-2021	Hyperparameter Tuning is All You Need for LISTA by Xiaohan Chen et al
10-26-2021	Fair Sequential Selection Using Supervised Learning Models by Mohammad Mahdi Khalili et al
10-26-2021	AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification by Romain Egele et al
10-27-2021	Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs by Jinwoo Kim et al
10-27-2021	Fairer LP-based Online Allocation by Guanting Chen et al
10-29-2021	Resampling Base Distributions of Normalizing Flows by Vincent Stimper et al
10-28-2021	Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography by Zhishen Huang et al
10-26-2021	Learning Optimal Decision Trees Using MaxSAT by Josep Alos et al
10-26-2021	Uncertainty quantification in a mechanical submodel driven by a Wasserstein-GAN by Hamza Boukraichi et al
10-29-2021	Latent Cognizance: What Machine Really Learns by Pisit Nakjai et al
10-29-2021	BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the Edge by Abdelrahman Hosny et al
10-27-2021	Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods by Derek Lim et al
10-26-2021	Unbiased Graph Embedding with Biased Graph Observations by Nan Wang et al
10-28-2021	Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives by Murtaza Dalal et al
10-27-2021	Dynamic Review-based Recommenders by Kostadin Cvejoski et al
10-26-2021	CAFE: Catastrophic Data Leakage in Vertical Federated Learning by Xiao Jin et al
10-26-2021	Training Wasserstein GANs without gradient penalties by Dohyun Kwon et al
10-27-2021	Dynamic population-based meta-learning for multi-agent communication with natural language by Abhinav Gupta et al
10-26-2021	On the Effects of Data Distortion on Model Analysis and Training by Antonia Marcu et al
10-28-2021	Scatterbrain: Unifying Sparse and Low-rank Attention Approximation by Beidi Chen et al
10-28-2021	Learning to Ground Multi-Agent Communication with Autoencoders by Toru Lin et al
10-28-2021	Residual Relaxation for Multi-view Representation Learning by Yifei Wang et al
10-29-2021	Landscape analysis of an improved power method for tensor decomposition by Joe Kileel et al
10-27-2021	Discovering Non-monotonic Autoregressive Orderings with Variational Inference by Xuanlin Li et al
10-29-2021	Improving Fairness via Federated Learning by Yuchen Zeng et al
10-27-2021	GACAN: Graph Attention-Convolution-Attention Networks for Traffic Forecasting Based on Multi-granularity Time Series by Sikai Zhang et al
10-27-2021	Node Dependent Local Smoothing for Scalable Graph Learning by Wentao Zhang et al
10-27-2021	Counterfactual Shapley Additive Explanations by Emanuele Albini et al
10-27-2021	Similarity and Matching of Neural Network Representations by Adrián Csiszárik et al
10-29-2021	QDCNN: Quantum Dilated Convolutional Neural Network by Yixiong Chen
10-26-2021	CHIP: CHannel Independence-based Pruning for Compact Neural Networks by Yang Sui et al
10-26-2021	Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers by Albert Gu et al
10-26-2021	Learning Collaborative Policies to Solve NP-hard Routing Problems by Minsu Kim et al
10-29-2021	Improving the quality of generative models through Smirnov transformation by Ángel González-Prieto et al
10-29-2021	Frame-Capture-Based CSI Recomposition Pertaining to Firmware-Agnostic WiFi Sensing by Ryosuke Hanahara et al
10-26-2021	A time-weighted metric for sets of trajectories to assess multi-object tracking algorithms by Ángel F. García-Fernández et al
10-29-2021	Barlow Graph Auto-Encoder for Unsupervised Network Embedding by Rayyan Ahmad Khan et al
10-28-2021	Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning by Wanggang Shen et al
10-26-2021	Periodic Activation Functions Induce Stationarity by Lassi Meronen et al
10-26-2021	Improving the efficacy of Deep Learning models for Heart Beat detection on heterogeneous datasets by Andrea Bizzego et al
10-29-2021	Contrastive prediction strategies for unsupervised segmentation and categorization of phonemes and words by Santiago Cuervo et al
10-28-2021	Communication-Efficient ADMM-based Federated Learning by Shenglong Zhou et al
10-26-2021	Non-Gaussian Gaussian Processes for Few-Shot Regression by Marcin Sendera et al
10-26-2021	Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks by Pengyong Li et al
10-29-2021	On the use of uncertainty in classifying Aedes Albopictus mosquitoes by Gereziher Adhane et al
10-26-2021	A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning by Jialun Wu et al
10-26-2021	Disrupting Deep Uncertainty Estimation Without Harming Accuracy by Ido Galil et al
10-26-2021	Learning to Pre-process Laser Induced Breakdown Spectroscopy Signals Without Clean Data by Juan Castorena et al
10-26-2021	On sensitivity of meta-learning to support data by Mayank Agarwal et al
10-27-2021	Subtleties in the trainability of quantum machine learning models by Supanut Thanasilp et al
10-27-2021	Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality by Songyuan Zhang et al
10-28-2021	Self-Supervised Learning Disentangled Group Representation as Feature by Tan Wang et al
10-27-2021	Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks by Hassan Dbouk et al
10-28-2021	Sayer: Using Implicit Feedback to Optimize System Policies by Mathias Lécuyer et al
10-26-2021	HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information by Wentao Xu et al
10-29-2021	Understanding the Effect of Stochasticity in Policy Optimization by Jincheng Mei et al
10-29-2021	A/B/n Testing with Control in the Presence of Subpopulations by Yoan Russac et al
10-29-2021	Personalized breath based biometric authentication with wearable multimodality by Manh-Ha Bui et al
10-27-2021	Comprehensive learning particle swarm optimization enabled modeling framework for multi-step-ahead influenza prediction by Siyue Yang et al
10-27-2021	OpeNPDN: A Neural-network-based Framework for Power Delivery Network Synthesis by Vidya A. Chhabria et al
10-26-2021	Driving Style Recognition Using Interval Type-2 Fuzzy Inference System and Multiple Experts Decision Making by Iago Pachêco Gomes et al
10-27-2021	A Subgame Perfect Equilibrium Reinforcement Learning Approach to Time-inconsistent Problems by Nixie S. Lesmana et al
10-28-2021	Roto-translated Local Coordinate Frames For Interacting Dynamical Systems by Miltiadis Kofinas et al
10-28-2021	A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers by Chenguang Wang et al
10-28-2021	Multivariate Empirical Mode Decomposition based Hybrid Model for Day-ahead Peak Load Forecasting by Yanmei Huang et al
10-27-2021	Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems by Andreas Schlaginhaufen et al
10-27-2021	Revisiting Sanity Checks for Saliency Maps by Gal Yona et al
10-28-2021	Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training by Zhengda Bian et al
10-28-2021	Gradient Inversion with Generative Image Prior by Jinwoo Jeon et al
10-28-2021	10 Security and Privacy Problems in Self-Supervised Learning by Jinyuan Jia et al
10-27-2021	Designing Machine Learning Surrogates using Outputs of Molecular Dynamics Simulations as Soft Labels by J. C. S. Kadupitiya et al
10-29-2021	Support Recovery with Stochastic Gates: Theory and Application for Linear Models by Soham Jana et al
10-28-2021	RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification by Ajay Jaiswal et al
10-27-2021	Learning Graph Cellular Automata by Daniele Grattarola et al
10-28-2021	Pipeline Parallelism for Inference on Heterogeneous Edge Computing by Yang Hu et al
10-26-2021	Towards More Generalizable One-shot Visual Imitation Learning by Zhao Mandi et al
10-27-2021	Iterative Teaching by Label Synthesis by Weiyang Liu et al
10-27-2021	Nonnegative Tucker Decomposition with Beta-divergence for Music Structure Analysis of audio signals by Axel Marmoret et al
10-26-2021	Modular Gaussian Processes for Transfer Learning by Pablo Moreno-Muñoz et al
10-29-2021	Towards Comparative Physical Interpretation of Spatial Variability Aware Neural Networks: A Summary of Results by Jayant Gupta et al
10-27-2021	Play to Grade: Testing Coding Games as Classifying Markov Decision Process by Allen Nie et al
10-26-2021	Deep Explicit Duration Switching Models for Time Series by Abdul Fatir Ansari et al
10-27-2021	MutFormer: A context-dependent transformer-based model to predict pathogenic missense mutations by Theodore Jiang et al
10-28-2021	Selective Regression Under Fairness Criteria by Abhin Shah et al
10-27-2021	Model based Multi-agent Reinforcement Learning with Tensor Decompositions by Pascal Van Der Vaart et al
10-26-2021	Polynomial-Spline Neural Networks with Exact Integrals by Jonas A. Actor et al
10-26-2021	Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD by Bohan Wang et al
10-26-2021	TOD: Tensor-based Outlier Detection by Yue Zhao et al
10-27-2021	Standing on the Shoulders of Predecessors: Meta-Knowledge Transfer for Knowledge Graphs by Mingyang Chen et al
10-27-2021	Enhancing Reinforcement Learning with discrete interfaces to learn the Dyck Language by Florian Dietz et al
10-27-2021	Encoder-Decoder Networks for Analyzing Thermal and Power Delivery Networks by Vidya A. Chhabria et al
10-28-2021	Generalized Anomaly Detection by Suresh Singh et al
10-28-2021	Pruning Attention Heads of Transformer Models Using A* Search: A Novel Approach to Compress Big NLP Architectures by Archit Parnami et al
10-27-2021	A Novel Sleep Stage Classification Using CNN Generated by an Efficient Neural Architecture Search with a New Data Processing Trick by Yu Xue et al
10-27-2021	Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization by Chengshuai Shi et al
10-26-2021	A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges by Mohammadreza Salehi et al
10-28-2021	On the explainability of hospitalization prediction on a large COVID-19 patient dataset by Ivan Girardi et al
10-28-2021	SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs by Hongyu Ren et al
10-26-2021	Geometric Transformer for End-to-End Molecule Properties Prediction by Yoni Choukroun et al
10-27-2021	MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data by Zhibo Zhu et al
10-27-2021	The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning by Vivek Borkar et al
10-27-2021	Locally Differentially Private Bayesian Inference by Tejas Kulkarni et al
10-26-2021	Understanding the Role of Self-Supervised Learning in Out-of-Distribution Detection Task by Jiuhai Chen et al
10-29-2021	Holistic Deep Learning by Dimitris Bertsimas et al
10-27-2021	Tractability from overparametrization: The example of the negative perceptron by Andrea Montanari et al
10-26-2021	Provably Robust Model-Centric Explanations for Critical Decision-Making by Cecilia G. Morales et al
10-28-2021	On the Fairness of Machine-Assisted Human Decisions by Talia Gillis et al
10-29-2021	A deep convolutional neural network for classification of Aedes albopictus mosquitoes by Gereziher Adhane et al
10-26-2021	Shared Independent Component Analysis for Multi-Subject Neuroimaging by Hugo Richard et al
10-27-2021	NIDA-CLIFGAN: Natural Infrastructure Damage Assessment through Efficient Classification Combining Contrastive Learning, Information Fusion and Generative Adversarial Networks by Jie Wei et al
10-26-2021	Coherent False Seizure Prediction in Epilepsy, Coincidence or Providence? by Jens Müller et al
10-26-2021	CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation by Wenhao Ding et al
10-27-2021	Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition by Mark Boss et al
10-26-2021	Can Character-based Language Models Improve Downstream Task Performance in Low-Resource and Noisy Language Scenarios? by Arij Riabi et al
10-29-2021	Collaborative Pure Exploration in Kernel Bandit by Yihan Du et al
10-28-2021	GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL by Sumedh A Sontakke et al
10-28-2021	Cycle-Balanced Representation Learning For Counterfactual Inference by Guanglin Zhou et al
10-26-2021	Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection by Chunjong Park et al
10-27-2021	Improving Super-Resolution Performance using Meta-Attention Layers by Matthew Aquilina et al
10-27-2021	TRAIL: Near-Optimal Imitation Learning with Suboptimal Data by Mengjiao Yang et al
10-28-2021	Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize by Ryan D'Orazio et al
10-27-2021	What Do We Mean by Generalization in Federated Learning? by Honglin Yuan et al
10-27-2021	PL-Net: Progressive Learning Network for Medical Image Segmentation by Junlong Cheng et al
10-29-2021	A Comprehensive Study on Learning-Based PE Malware Family Classification Methods by Yixuan Ma et al
10-28-2021	Coresets for Time Series Clustering by Lingxiao Huang et al
10-28-2021	On Provable Benefits of Depth in Training Graph Convolutional Networks by Weilin Cong et al
10-27-2021	Training Verifiers to Solve Math Word Problems by Karl Cobbe et al
10-28-2021	OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary by Nikolaos Dionelis
10-28-2021	Extracting Clinicians Goals by What-if Interpretable Modeling by Chun-Hao Chang et al
10-28-2021	Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models by Rickard Karlsson et al
10-26-2021	Concepts for Automated Machine Learning in Smart Grid Applications by Stefan Meisenbacher et al
10-27-2021	Self-supervised EEG Representation Learning for Automatic Sleep Staging by Chaoqi Yang et al
10-28-2021	Preventing posterior collapse in variational autoencoders for text generation via decoder regularization by Alban Petit et al
10-28-2021	Probabilistic Autoencoder using Fisher Information by Johannes Zacherl et al
10-28-2021	FocusFace: Multi-task Contrastive Learning for Masked Face Recognition by Pedro C. Neto et al

10-28-2021	A Novel Sample-efficient Deep Reinforcement Learning with Episodic Policy Transfer for PID-Based Control in Cardiac Catheterization Robots by Olatunji Mumini Omisore et al
10-28-2021	Deeptime: a Python library for machine learning dynamical models from time series data by Moritz Hoffmann et al
10-27-2021	Traffic Forecasting on Traffic Moving Snippets by Nina Wiedemann et al
10-27-2021	Temporal-attentive Covariance Pooling Networks for Video Recognition by Zilin Gao et al
10-26-2021	Causal Effect Estimation using Variational Information Bottleneck by Zhenyu Lu et al
10-26-2021	FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective by Jingwei Sun et al
10-27-2021	TopicNet: Semantic Graph-Guided Topic Discovery by Zhibin Duan et al
10-28-2021	MMD Aggregated Two-Sample Test by Antonin Schrab et al
10-27-2021	MIRA: Multihop Relation Prediction in Temporal Knowledge Graphs by Christian M. M. Frey et al
10-26-2021	Gradient representations in ReLU networks as similarity functions by Dániel Rácz et al
10-29-2021	CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method by Pao-Hsiung Chiu et al
10-26-2021	An extended physics informed neural network for preliminary analysis of parametric optimal control problems by Nicola Demo et al
10-29-2021	Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains by Christian Gumbsch et al
10-26-2021	Hierarchical Transformers Are More Efficient Language Models by Piotr Nawrot et al
10-27-2021	DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations by Fei Deng et al
10-27-2021	Adversarial Neuron Pruning Purifies Backdoored Deep Models by Dongxian Wu et al
10-29-2021	Mixed Cooperative-Competitive Communication Using Multi-Agent Reinforcement Learning by Astrid Vanneste et al
10-29-2021	Aligned Multi-Task Gaussian Process by Olga Mikheeva et al
10-29-2021	Adversarial Robustness with Semi-Infinite Constrained Learning by Alexander Robey et al
10-29-2021	{\epsilon}-weakened Robustness of Deep Neural Networks by Pei Huang et al
10-28-2021	Learning Personal Food Preferences via Food Logs Embedding by Ahmed A. Metwally et al
10-28-2021	Unsupervised Foreground Extraction via Deep Region Competition by Peiyu Yu et al
10-27-2021	RoMA: Robust Model Adaptation for Offline Model-based Optimization by Sihyun Yu et al
10-26-2021	Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features by Jiuhai Chen et al
10-26-2021	Hinge Policy Optimization: Rethinking Policy Improvement and Reinterpreting PPO by Hsuan-Yu Yao et al
10-27-2021	Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications by Marcelo V. W. Zibetti et al
10-27-2021	Identifiable Generative Models for Missing Not at Random Data Imputation by Chao Ma et al
10-26-2021	Constrained Optimization Involving Nonconvex ℓpℓp Norms: Optimality Conditions, Algorithm and Convergence by Hao Wang et al
10-26-2021	MisConv: Convolutional Neural Networks for Missing Data by Marcin Przewięźlikowski et al
10-26-2021	Cluster-and-Conquer: A Framework For Time-Series Forecasting by Reese Pathak et al
10-26-2021	Nonparametric Matrix Estimation with One-Sided Covariates by Christina Lee Yu
10-26-2021	CS-Rep: Making Speaker Verification Networks Embracing Re-parameterization by Ruiteng Zhang et al
10-26-2021	Dynamic Causal Bayesian Optimization by Virginia Aglietti et al
10-27-2021	Diversity Enhanced Active Learning with Strictly Proper Scoring Rules by Wei Tan et al
10-27-2021	Federated Linear Contextual Bandits by Ruiquan Huang et al
10-26-2021	C22SP-Net: Joint Compression and Classification Network for Epilepsy Seizure Prediction by Di Wu et al
10-26-2021	Data-Driven Time Series Reconstruction for Modern Power Systems Research by Minas Chatzos et al
10-29-2021	Limiting fluctuation and trajectorial stability of multilayer neural networks with mean field training by Huy Tuan Pham et al
10-29-2021	Convergence of Uncertainty Sampling for Active Learning by Anant Raj et al
10-28-2021	Multi-Task Processes by Donggyun Kim et al
10-28-2021	Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces by Kirill Struminsky et al
10-26-2021	TME-BNA: Temporal Motif-Preserving Network Embedding with Bicomponent Neighbor Aggregation by Ling Chen et al
10-29-2021	Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning by Kartik Ahuja et al
10-26-2021	Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs by Han Zhong et al
10-28-2021	Two-sided fairness in rankings via Lorenz dominance by Virginie Do et al
10-26-2021	Automating Control of Overestimation Bias for Continuous Reinforcement Learning by Arsenii Kuznetsov et al
10-26-2021	PARIS: Personalized Activity Recommendation for Improving Sleep Quality by Meghna Singh et al
10-27-2021	A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning by Gugan Thoppe et al
10-26-2021	On the Optimization Landscape of Maximum Mean Discrepancy by Itai Alon et al
10-28-2021	Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning by Dusan Stamenkovic et al
10-27-2021	Generalizing AUC Optimization to Multiclass Classification for Audio Segmentation With Limited Training Data by Pablo Gimeno et al
10-29-2021	Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings by Guanglin Niu et al
10-27-2021	Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Equivariant Projected Kernels by Michael Hutchinson et al
10-29-2021	Model Fusion of Heterogeneous Neural Networks via Cross-Layer Alignment by Dang Nguyen et al
10-26-2021	TUNet: A Block-online Bandwidth Extension Model based on Transformers and Self-supervised Pretraining by Viet-Anh Nguyen et al
10-27-2021	V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL by Chi Jin et al
10-27-2021	A Survey of Self-Supervised and Few-Shot Object Detection by Gabriel Huang et al
10-26-2021	CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator by Alek Dimitriev et al
10-28-2021	Scalable Uni-directional Pareto Optimality for Multi-Task Learning with Constraints by Soumyajit Gupta et al
10-26-2021	Uniform Concentration Bounds toward a Unified Framework for Robust Clustering by Debolina Paul et al
10-26-2021	Diversity Matters When Learning From Ensembles by Giung Nam et al
10-28-2021	Deep Learning Aided Packet Routing in Aeronautical Ad-Hoc Networks Relying on Real Flight Data: From Single-Objective to Near-Pareto Multi-Objective Optimization by Dong Liu et al
10-28-2021	Learning Feasibility to Imitate Demonstrators with Different Dynamics by Zhangjie Cao et al
10-28-2021	Learning Aggregations of Binary Activated Neural Networks with Probabilities over Representations by Louis Fortier-Dubois et al
10-28-2021	Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones by Yushi Bai et al
10-28-2021	Meta Subspace Optimization by Yoni Choukroun et al
10-26-2021	Equivariant vector field network for many-body system modeling by Weitao Du et al
10-29-2021	Application of 2-D Convolutional Neural Networks for Damage Detection in Steel Frame Structures by Shahin Ghazvineh et al
10-27-2021	Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates by Litian Liang et al
10-27-2021	Characterizing and Taming Resolution in Convolutional Neural Networks by Eddie Yan et al
10-26-2021	A DPDK-Based Acceleration Method for Experience Sampling of Distributed Reinforcement Learning by Masaki Furukawa et al
10-26-2021	Tensor Network Kalman Filtering for Large-Scale LS-SVMs by Maximilian Lucassen et al
10-29-2021	Does Momentum Help? A Sample Complexity Analysis by Gugan Thoppe et al
10-26-2021	SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data by Alicia Curth et al
10-28-2021	InfoGCL: Information-Aware Graph Contrastive Learning by Dongkuan Xu et al
10-26-2021	Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization by Zhenghao Peng et al
10-26-2021	Model Reduction of Swing Equations with Physics Informed PDE by Laurent Pagnier et al
10-26-2021	Defensive Tensorization by Adrian Bulat et al
10-27-2021	Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons by Paul Haider et al
10-28-2021	Sobolev-type embeddings for neural network approximation spaces by Philipp Grohs et al
10-26-2021	MarS-FL: A Market Share-based Decision Support Framework for Participation in Federated Learning by Xiaohu Wu et al
10-28-2021	New SAR target recognition based on YOLO and very deep multi-canonical correlation analysis by Moussa Amrani et al
10-29-2021	Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation by Seffi Cohen et al
10-26-2021	Understanding Interlocking Dynamics of Cooperative Rationalization by Mo Yu et al
10-28-2021	Labeled sample compression schemes for complexes of oriented matroids by Victor Chepoi et al
10-27-2021	Anomaly-Injected Deep Support Vector Data Description for Text Outlier Detection by Zeyu You et al
10-26-2021	Robustness of Graph Neural Networks at Scale by Simon Geisler et al
10-28-2021	On Label Shift in Domain Adaptation via Wasserstein Distance by Trung Le et al
10-28-2021	ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning by Maoguo Gong et al
10-27-2021	Differentially Private Federated Bayesian Optimization with Distributed Exploration by Zhongxiang Dai et al
10-28-2021	VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media by Yizhou Zhang et al
10-26-2021	Boosted CVaR Classification by Runtian Zhai et al
10-26-2021	Heterogeneous Temporal Graph Neural Network by Yujie Fan et al
10-27-2021	SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning by Mattia Atzeni et al
10-28-2021	Dist2Cycle: A Simplicial Neural Network for Homology Localization by Alexandros Dimitrios Keros et al
10-26-2021	Rapid IoT Device Identification at the Edge by Oliver Thompson et al
10-27-2021	Algorithmic encoding of protected characteristics and its implications on disparities across subgroups by Ben Glocker et al
10-29-2021	Training Integrable Parameterizations of Deep Neural Networks in the Infinite-Width Limit by Karl Hajjar et al
10-28-2021	Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT by Shunpu Tang et al
10-28-2021	Exploration of Algorithmic Trading Strategies for the Bitcoin Market by Nathan Crone et al
10-26-2021	Rademacher Random Projections with Tensor Networks by Beheshteh T. Rakhshan et al
10-28-2021	MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution by Chenyu You et al
10-28-2021	Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction by Konstantin Schürholt et al
10-27-2021	Convolutional Deep Exponential Families by Chengkuan Hong et al
10-27-2021	Towards Evaluating the Robustness of Neural Networks Learned by Transduction by Jiefeng Chen et al
10-27-2021	You Are the Best Reviewer of Your Own Papers: An Owner-Assisted Scoring Mechanism by Weijie J. Su
10-26-2021	Average-Reward Learning and Planning with Options by Yi Wan et al
10-27-2021	Towards a Taxonomy of Graph Learning Datasets by Renming Liu et al
10-28-2021	HD-cos Networks: Efficient Neural Architectures for Secure Multi-Party Computation by Wittawat Jitkrittum et al
10-28-2021	Deep Reinforcement Learning Aided Packet-Routing For Aeronautical Ad-Hoc Networks Formed by Passenger Planes by Dong Liu et al
10-27-2021	A Scalable Inference Method For Large Dynamic Economic Systems by Pratha Khandelwal et al
10-28-2021	RGP: Neural Network Pruning through Its Regular Graph Structure by Zhuangzhi Chen et al
10-27-2021	Perceptual Score: What Data Modalities Does Your Model Perceive? by Itai Gat et al
10-27-2021	Spatio-Temporal Federated Learning for Massive Wireless Edge Networks by Chun-Hung Liu et al
10-27-2021	GenURL: A General Framework for Unsupervised Representation Learning by Siyuan Li et al
10-26-2021	Deep Integrated Pipeline of Segmentation Leading to Classification for Automated Detection of Breast Cancer from Breast Ultrasound Images by Muhammad Sakib Khan Inan et al
10-26-2021	Applications of Multi-Agent Reinforcement Learning in Future Internet: A Comprehensive Survey by Tianxu Li et al
10-26-2021	Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices by Federico López et al
10-29-2021	Scalable Inference in SDEs by Direct Matching of the Fokker-Planck-Kolmogorov Equation by Arno Solin et al
10-28-2021	Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of Atherosclerosis by Avan Suinesiaputra et al
10-27-2021	A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition by Junjiao Tian et al
10-26-2021	Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme by Jonas Kneifl et al
10-27-2021	Generalized Shape Metrics on Neural Representations by Alex H. Williams et al
10-27-2021	Sample Selection for Fair and Robust Training by Yuji Roh et al
10-27-2021	When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer by Ameet Deshpande et al
10-28-2021	Location-routing Optimisation for Urban Logistics Using Mobile Parcel Locker Based on Hybrid Q-Learning Algorithm by Yubin Liu et al
10-28-2021	Open Problem: Tight Online Confidence Intervals for RKHS Elements by Sattar Vakili et al
10-27-2021	Selective Sampling for Online Best-arm Identification by Romain Camilleri et al
10-28-2021	Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning by Hyunsoo Chung et al
10-27-2021	Ask Who, Not What: Bitcoin Volatility Forecasting with Twitter Data by M. Eren Akbiyik et al
10-26-2021	Data-Driven Representations for Testing Independence: Modeling, Analysis and Connection with Mutual Information Estimation by Mauricio E. Gonzalez et al
10-26-2021	ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers by Husheng Han et al
10-26-2021	On Computing the Hyperparameter of Extreme Learning Machines: Algorithm and Application to Computational PDEs, and Comparison with Classical and High-Order Finite Elements by Suchuan Dong et al
10-28-2021	Towards Model Agnostic Federated Learning Using Knowledge Distillation by Andrei Afonin et al
10-27-2021	Learning where to learn: Gradient sparsity in meta and continual learning by Johannes von Oswald et al
10-28-2021	Teaching an Active Learner with Contrastive Examples by Chaoqi Wang et al
10-26-2021	Mapping conditional distributions for domain adaptation under generalized target shift by Matthieu Kirchmeyer et al
10-26-2021	Adversarial Robustness in Multi-Task Learning: Promises and Illusions by Salah Ghamizi et al
10-27-2021	Meta-Learning Sparse Implicit Neural Representations by Jaeho Lee et al
10-28-2021	Class-wise Thresholding for Detecting Out-of-Distribution Data by Matteo Guarrera et al
10-28-2021	Learning to Control using Image Feedback by Krishnan Raghavan et al
10-28-2021	The magnitude vector of images by Michael F. Adamer et al
10-28-2021	Learning Deep Representation with Energy-Based Self-Expressiveness for Subspace Clustering by Yanming Li et al
10-28-2021	Orientation Probabilistic Movement Primitives on Riemannian Manifolds by Leonel Rozo et al
10-27-2021	VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization by Mucong Ding et al
10-26-2021	A deep learning driven pseudospectral PCE based FFT homogenization algorithm for complex microstructures by Alexander Henkes et al
10-28-2021	A Computationally Efficient Method for Learning Exponential Family Distributions by Abhin Shah et al