2021.10.11 Learning papers

10-05-2021	A study of first-passage time minimization via Q-learning in heated gridworlds by M. A. Larchenko et al
10-07-2021	Multivariate Anomaly Detection based on Prediction Intervals Constructed using Deep Learning by Thabang Mathonsi et al
10-06-2021	Geometric and Physical Quantities improve E(3) Equivariant Message Passing by Johannes Brandstetter et al
10-06-2021	Federated Learning via Plurality Vote by Kai Yue et al
10-06-2021	Space-Time Graph Neural Networks by Samar Hadou et al
10-06-2021	Variance function estimation in regression model via aggregation procedures by Ahmed Zaoui
10-05-2021	Optimization with Constraint Learning: A Framework and Survey by Adejuyigbe Fajemisin et al
10-07-2021	SERAB: A multi-lingual benchmark for speech emotion recognition by Neil Scheidwasser-Clow et al
10-07-2021	Curved Markov Chain Monte Carlo for Network Learning by John Sigbeku et al
10-05-2021	Label differential privacy via clustering by Hossein Esfandiari et al
10-05-2021	FacialFilmrollFacialFilmroll: High-resolution multi-shot video editing by Bharath Bhushan Damodaran et al
10-05-2021	NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL by Khaled Nakhleh et al
10-08-2021	On Fast Johnson-Lindernstrauss Embeddings of Compact Submanifolds of RNRN with Boundary by Mark A. Iwen et al
10-07-2021	Hitting the Target: Stopping Active Learning at the Cost-Based Optimum by Zac Pullar-Strecker et al
10-07-2021	Enabling On-Device Training of Speech Recognition Models with Federated Dropout by Dhruv Guliani et al
10-07-2021	Using Contrastive Learning and Pseudolabels to learn representations for Retail Product Image Classification by Muktabh Mayank Srivastava
10-06-2021	Double Descent in Adversarial Training: An Implicit Label Noise Perspective by Chengyu Dong et al
10-06-2021	Tuning Confidence Bound for Stochastic Bandits with Bandit Distance by Xinyu Zhang et al
10-07-2021	Reinforcement Learning in Reward-Mixing MDPs by Jeongyeol Kwon et al
10-05-2021	Predicting Credit Risk for Unsecured Lending: A Machine Learning Approach by K. S. Naik
10-07-2021	Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver by Xiaoyu Chen et al
10-05-2021	ΔΔ-UQ: Accurate Uncertainty Quantification via Anchor Marginalization by Rushil Anirudh et al
10-07-2021	Explaining the Attention Mechanism of End-to-End Speech Recognition Using Decision Trees by Yuanchao Wang et al
10-08-2021	Minimal-Configuration Anomaly Detection for IIoT Sensors by Clemens Heistracher et al
10-05-2021	Using Psuedolabels for training Sentiment Classifiers makes the model generalize better across datasets by Natesh Reddy et al
10-07-2021	Efficient large-scale image retrieval with deep feature orthogonality and Hybrid-Swin-Transformers by Christof Henkel
10-05-2021	EntQA: Entity Linking as Question Answering by Wenzheng Zhang et al
10-07-2021	Injecting Planning-Awareness into Prediction and Detection Evaluation by Boris Ivanovic et al
10-06-2021	PlumeCityNet: Multi-Resolution Air Quality Forecasting by Thibaut Cassard et al
10-07-2021	EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits by Yikun Ban et al
10-07-2021	Ensemble Neural Representation Networks by Milad Soltany Kadarvish et al
10-08-2021	Dataset Condensation with Distribution Matching by Bo Zhao et al
10-08-2021	Temporal Convolutions for Multi-Step Quadrotor Motion Prediction by Samuel Looper et al
10-08-2021	When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently? by Ziang Song et al
10-08-2021	Medical Dead-ends and Learning to Identify High-risk States and Treatments by Mehdi Fatemi et al
10-07-2021	Generalization in Deep RL for TSP Problems via Equivariance and Local Search by Wenbin Ouyang et al
10-06-2021	Semi-relaxed Gromov Wasserstein divergence with applications on graphs by Cédric Vincent-Cuaz et al
10-05-2021	Extensions of Kargers Algorithm: Why They Fail in Theory and How They Are Useful in Practice by Erik Jenner et al
10-06-2021	Mismatched No More: Joint Model-Policy Optimization for Model-Based RL by Benjamin Eysenbach et al
10-07-2021	Time Series Forecasting Using Manifold Learning by Panagiotis Papaioannou et al
10-06-2021	SWAT Watershed Model Calibration using Deep Learning by M. K. Mudunuru et al
10-07-2021	From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness by Lingxiao Zhao et al
10-05-2021	Inference and De-Noising of Non-Gaussian Particle Distribution Functions: A Generative Modeling Approach by John Donaghy et al
10-07-2021	Frame Averaging for Invariant and Equivariant Network Design by Omri Puny et al
10-05-2021	Extracting Major Topics of COVID-19 Related Tweets by Faezeh Azizi et al
10-05-2021	Permute Me Softly: Learning Soft Permutations for Graph Representations by Giannis Nikolentzos et al
10-06-2021	Decoupled Adaptation for Cross-Domain Object Detection by Junguang Jiang et al
10-07-2021	Uncertainty Set Prediction of Aggregated Wind Power Generation based on Bayesian LSTM and Spatio-Temporal Analysis by Xiaopeng Li et al
10-07-2021	Universal Approximation Under Constraints is Possible with Transformers by Anastasis Kratsios et al
10-07-2021	Permutation Compressors for Provably Faster Distributed Nonconvex Optimization by Rafał Szlendak et al
10-07-2021	Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement by Uddeshya Upadhyay et al
10-07-2021	Tile Embedding: A General Representation for Procedural Level Generation via Machine Learning by Mrunal Jadhav et al
10-06-2021	Improving Prediction Confidence in Learning-Enabled Autonomous Systems by Dimitrios Boursinos et al
10-05-2021	Machine learning attack on copy detection patterns: are 1x1 patterns cloneable? by Roman Chaban et al
10-05-2021	Adversarial Robustness Verification and Attack Synthesis in Stochastic Systems by Lisa Oakley et al
10-05-2021	CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning by Carolin Benjamins et al
10-07-2021	End-to-End Supermask Pruning: Learning to Prune Image Captioning Models by Jia Huei Tan et al
10-07-2021	End-to-end label uncertainty modeling for speech emotion recognition using Bayesian neural networks by Navin Raj Prabhu et al
10-07-2021	EF21 with Bells & Whistles: Practical Algorithmic Extensions of Modern Error Feedback by Ilyas Fatkhullin et al
10-07-2021	Robotic Lever Manipulation using Hindsight Experience Replay and Shapley Additive Explanations by Sindre Benjamin Remman et al
10-08-2021	ViDT: An Efficient and Effective Fully Transformer-based Object Detector by Hwanjun Song et al
10-08-2021	Mixability made efficient: Fast online multiclass logistic regression by Rémi Jézéquel et al
10-06-2021	A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint by Alaa Bessadok et al
10-07-2021	A simple equivariant machine learning method for dynamics based on scalars by Weichi Yao et al
10-08-2021	Nonconvex-Nonconcave Min-Max Optimization with a Small Maximization Domain by Dmitrii M. Ostrovskii et al
10-07-2021	Label Propagation across Graphs: Node Classification using Graph Neural Tangent Kernels by Artun Bayer et al
10-06-2021	Cloud Failure Prediction with Hierarchical Temporary Memory: An Empirical Assessment by Oliviero Riganelli et al
10-08-2021	Momentum Doesnt Change the Implicit Bias by Bohan Wang et al
10-08-2021	Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows by Michael Puthawala et al
10-07-2021	Pretrained Language Models are Symbolic Mathematics Solvers too! by Kimia Noorbakhsh et al
10-08-2021	Hybrid Graph Embedding Techniques in Estimated Time of Arrival Task by Vadim Porvatov et al
10-06-2021	Probabilistic Metamodels for an Efficient Characterization of Complex Driving Scenarios by Max Winkelmann et al
10-06-2021	Simplicial Convolutional Neural Networks by Maosheng Yang et al
10-06-2021	EdiTTS: Score-based Editing for Controllable Text-to-Speech by Jaesung Tae et al
10-06-2021	Deep Identification of Nonlinear Systems in Koopman Form by Lucian Cristian Iacob et al
10-06-2021	FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks by Qiang Wang et al
10-07-2021	Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning in NLP by Zhijing Jin et al
10-06-2021	Towards Understanding Distributional Reinforcement Learning: Regularization, Optimization, Acceleration and Sinkhorn Algorithm by Ke Sun et al
10-06-2021	SPEED+: Next Generation Dataset for Spacecraft Pose Estimation across Domain Gap by Tae Ha Park et al
10-06-2021	A Uniform Framework for Anomaly Detection in Deep Neural Networks by Fangzhen Zhao et al
10-05-2021	Adversarial defenses via a mixture of generators by Maciej Żelaszczyk et al
10-07-2021	De-randomizing MCMC dynamics with the diffusion Stein operator by Zheyang Shen et al
10-07-2021	Food Science Spectroscopy Model Training: Improving Data Efficiency Using Active Learning and Semi-Supervised Learning by Huanle Zhang et al
10-05-2021	DeepEdge: A Deep Reinforcement Learning based Task Orchestrator for Edge Computing by Baris Yamansavascilar et al
10-08-2021	Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation by Shiqi Yang et al
10-07-2021	¯GmstG¯mst:An Unbiased Stratified Statistic and a Fast Gradient Optimization Algorithm Based on It by Aixiang Chen
10-06-2021	Adaptive control of a mechatronic system using constrained residual reinforcement learning by Tom Staessens et al
10-05-2021	Decoding ECoG signal into 3D hand translation using deep learning by Maciej Śliwowski et al
10-07-2021	Noisy Text Data: Achilles Heel of popular transformer based NLP models by Kartikay Bagla et al
10-07-2021	Optimized U-Net for Brain Tumor Segmentation by Michał Futrega et al
10-07-2021	Coresets for Decision Trees of Signals by Ibrahim Jubran et al
10-05-2021	MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer by Sachin Mehta et al
10-05-2021	Secure Aggregation for Buffered Asynchronous Federated Learning by Jinhyun So et al
10-08-2021	Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency by Anish Chakrabarty et al
10-08-2021	Graphs as Tools to Improve Deep Learning Methods by Carlos Lassance et al
10-07-2021	Detecting Autism Spectrum Disorders with Machine Learning Models Using Speech Transcripts by Vikram Ramesh et al
10-08-2021	MilliTRACE-IR: Contact Tracing and Temperature Screening via mm-Wave and Infrared Sensing by Marco Canil et al
10-08-2021	Tensor train completion: local recovery guarantees via Riemannian optimization by Stanislav Budzinskiy et al
10-07-2021	5G Traffic Prediction with Time Series Analysis by Nikhil Nayak et al
10-06-2021	Assurance Monitoring of Learning Enabled Cyber-Physical Systems Using Inductive Conformal Prediction based on Distance Learning by Dimitrios Boursinos et al
10-05-2021	Graph Coloring: Comparing Cluster Graphs to Factor Graphs by Simon Streicher et al
10-05-2021	Efficient GPU implementation of randomized SVD and its applications by Łukasz Struski et al
10-06-2021	Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing by Logan Ward et al
10-06-2021	Knothe-Rosenblatt transport for Unsupervised Domain Adaptation by Aladin Virmaux et al
10-06-2021	Video Autoencoder: self-supervised disentanglement of static 3D structure and motion by Zihang Lai et al
10-07-2021	A Stochastic Newton Algorithm for Distributed Convex Optimization by Brian Bullins et al
10-07-2021	Accelerated Componentwise Gradient Boosting using Efficient Data Representation and Momentum-based Optimization by Daniel Schalk et al
10-07-2021	Robustness and reliability when training with noisy labels by Amanda Olmin et al
10-07-2021	Speeding up Deep Model Training by Sharing Weights and Then Unsharing by Shuo Yang et al
10-05-2021	NEWRON: A New Generalization of the Artificial Neuron to Enhance the Interpretability of Neural Networks by Federico Siciliano et al
10-07-2021	Applying Phonological Features in Multilingual Text-To-Speech by Cong Zhang et al
10-07-2021	How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents by Miguel Vasco et al
10-07-2021	One Thing to Fool them All: Generating Interpretable, Universal, and Physically-Realizable Adversarial Features by Stephen Casper et al
10-07-2021	Online Markov Decision Processes with Non-oblivious Strategic Adversary by Le Cong Dinh et al
10-07-2021	Adversarial Unlearning of Backdoors via Implicit Hypergradient by Yi Zeng et al
10-08-2021	KaraSinger: Score-Free Singing Voice Synthesis with VQ-VAE using Mel-spectrograms by Chien-Feng Liao et al
10-05-2021	On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation by Xuebo Liu et al
10-05-2021	Data Augmentation Approaches in Natural Language Processing: A Survey by Bohan Li et al
10-05-2021	Hypernetworks for Continual Semi-Supervised Learning by Dhanajit Brahma et al
10-05-2021	KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey by Benyamin Ghojogh et al
10-05-2021	Geometric Algebra Attention Networks for Small Point Clouds by Matthew Spellings
10-05-2021	Quasi-Newton policy gradient algorithms by Haoya Li et al
10-07-2021	Deep Learning Model Explainability for Inspection Accuracy Improvement in the Automotive Industry by Anass El Houd et al
10-06-2021	A Regularized Wasserstein Framework for Graph Kernels by Asiri Wijesinghe et al
10-07-2021	Evaluating model-based planning and planner amortization for continuous control by Arunkumar Byravan et al
10-05-2021	Data-driven Nonlinear Model Reduction to Spectral Submanifolds in Mechanical Systems by Mattia Cenedese et al
10-05-2021	Optimal N-ary ECOC Matrices for Ensemble Classification by Hieu D. Nguyen et al
10-05-2021	Neural Network Adversarial Attack Method Based on Improved Genetic Algorithm by Dingming Yang et al
10-07-2021	A composable autoencoder-based iterative algorithm for accelerating numerical simulations by Rishikesh Ranade et al
10-08-2021	Combining Differential Privacy and Byzantine Resilience in Distributed SGD by Rachid Guerraoui et al
10-05-2021	FoodChem: A food-chemical relation extraction model by Gjorgjina Cenikj et al
10-05-2021	Turing approximations, toric isometric embeddings & manifold convolutions by P. Suárez-Serrato
10-05-2021	Measuring chemical likeness of stars with RSCA by Damien de Mijolla et al
10-06-2021	Conceptual Expansion Neural Architecture Search (CENAS) by Mohan Singamsetti et al
10-08-2021	Assessment of Neural Networks for Stream-Water-Temperature Prediction by Stefanie Mohr et al
10-07-2021	Darts: User-Friendly Modern Machine Learning for Time Series by Julien Herzen et al
10-08-2021	Anomaly Detection in Beehives: An Algorithm Comparison by Padraig Davidson et al
10-06-2021	Census-Independent Population Estimation using Representation Learning by Isaac Neal et al
10-07-2021	Adaptive Early-Learning Correction for Segmentation from Noisy Annotations by Sheng Liu et al
10-06-2021	Secure Byzantine-Robust Distributed Learning via Clustering by Raj Kiriti Velicheti et al
10-08-2021	Observations on K-image Expansion of Image-Mixing Augmentation for Classification by Joonhyun Jeong et al
10-08-2021	Heavy Ball Momentum for Conditional Gradient by Bingcong Li et al
10-07-2021	Flow Plugin Network for conditional generation by Patryk Wielopolski et al
10-06-2021	Efficient Sharpness-aware Minimization for Improved Training of Neural Networks by Jiawei Du et al
10-06-2021	MovingFashion: a Benchmark for the Video-to-Shop Challenge by Marco Godi et al
10-06-2021	Pretraining & Reinforcement Learning: Sharpening the Axe Before Cutting the Tree by Saurav Kadavath et al
10-06-2021	Data-Centric AI Requires Rethinking Data Notion by Mustafa Hajij et al
10-05-2021	The Variability of Model Specification by Joseph R. Barr et al
10-08-2021	Lightweight Convolutional Neural Networks By Hypercomplex Parameterization by Eleonora Grassucci et al
10-07-2021	Towards Federated Learning-Enabled Visible Light Communication in 6G Systems by Shimaa Naser et al
10-05-2021	Short-term precipitation prediction using deep learning by Guoxing Chen et al
10-05-2021	Dataset: Large-scale Urban IoT Activity Data for DDoS Attack Emulation by Arvin Hekmati et al
10-05-2021	Attention Augmented Convolutional Transformer for Tabular Time-series by Sharath M Shankaranarayana et al
10-05-2021	Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networks by Xin Zhang et al
10-05-2021	Fast and Interpretable Consensus Clustering via Minipatch Learning by Luqin Gan et al
10-06-2021	Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer by Yining Ma et al
10-06-2021	Active Learning of Markov Decision Processes using Baum-Welch algorithm (Extended) by Giovanni Bacci et al
10-05-2021	Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation by Adrian Galdran et al
10-07-2021	Learning Pessimism for Robust and Efficient Off-Policy Reinforcement Learning by Edoardo Cetin et al
10-05-2021	Unifying Likelihood-free Inference with Black-box Sequence Design and Beyond by Dinghuai Zhang et al
10-07-2021	Detecting adversaries in Crowdsourcing by Panagiotis A. Traganitis et al
10-06-2021	Multi-objective Optimization by Learning Space Partitions by Yiyang Zhao et al
10-05-2021	TensorPlan and the Few Actions Lower Bound for Planning in MDPs under Linear Realizability of Optimal Value Functions by Gellért Weisz et al
10-06-2021	Nested Policy Reinforcement Learning by Aishwarya Mandyam et al
10-08-2021	RelaySum for Decentralized Deep Learning on Heterogeneous Data by Thijs Vogels et al
10-06-2021	Online Hyperparameter Meta-Learning with Hypergradient Distillation by Hae Beom Lee et al
10-05-2021	Inferring Hidden Structures in Random Graphs by Wasim Huleihel
10-06-2021	Improving Generalization of Deep Reinforcement Learning-based TSP Solvers by Wenbin Ouyang et al
10-06-2021	Generative Optimization Networks for Memory Efficient Data Generation by Shreshth Tuli et al
10-06-2021	Assemblies of neurons can learn to classify well-separated distributions by Max Dabagia et al
10-08-2021	F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits by Chiara Leadbeater et al
10-08-2021	LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time by Elvis Nunez et al
10-08-2021	Topology-Imbalance Learning for Semi-Supervised Node Classification by Deli Chen et al
10-07-2021	Hyperparameter Tuning with Renyi Differential Privacy by Nicolas Papernot et al
10-07-2021	EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection by Hamid Bostani et al

10-06-2021	Generalizing Neural Networks by Reflecting Deviating Data in Production by Yan Xiao et al
10-06-2021	The Information Geometry of Unsupervised Reinforcement Learning by Benjamin Eysenbach et al
10-06-2021	DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models by Gwanghyun Kim et al
10-05-2021	Sound Event Detection Transformer: An Event-based End-to-End Model for Sound Event Detection by Zhirong Ye et al
10-05-2021	Is Attention always needed? A Case Study on Language Identification from Speech by Atanu Mandal et al
10-07-2021	Understanding Domain Randomization for Sim-to-real Transfer by Xiaoyu Chen et al
10-07-2021	Fast learning from label proportions with small bags by Denis Baručić et al
10-05-2021	Exploring Conditional Text Generation for Aspect-Based Sentiment Analysis by Siva Uday Sampreeth Chebolu et al
10-06-2021	Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks by Emanuele La Malfa et al
10-06-2021	Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem by Jingwen Li et al
10-06-2021	Unsupervised Multimodal Language Representations using Convolutional Autoencoders by Panagiotis Koromilas et al
10-06-2021	Data-Centric Semi-Supervised Learning by Xudong Wang et al
10-08-2021	Pathologies in priors and inference for Bayesian transformers by Tristan Cinquin et al
10-06-2021	Solving Multistage Stochastic Linear Programming via Regularized Linear Decision Rules: An Application to Hydrothermal Dispatch Planning by Felipe Nazare et al
10-05-2021	Influence-Balanced Loss for Imbalanced Visual Classification by Seulki Park et al
10-05-2021	Geometric Transformers for Protein Interface Contact Prediction by Alex Morehead et al
10-05-2021	Random matrices in service of ML footprint: ternary random features with no performance loss by Hafiz Tiomoko Ali et al
10-08-2021	Neural Tangent Kernel Eigenvalues Accurately Predict Generalization by James B. Simon et al
10-08-2021	Opportunities for Machine Learning to Accelerate Halide Perovskite Commercialization and Scale-Up by Rishi E. Kumar et al
10-05-2021	Semi-Supervised Deep Learning for Multiplex Networks by Anasua Mitra et al
10-05-2021	Autoregressive Diffusion Models by Emiel Hoogeboom et al
10-05-2021	FooDI-ML: a large multi-language dataset of food, drinks and groceries images and descriptions by David Amat Olóndriz et al
10-05-2021	Dropout Q-Functions for Doubly Efficient Reinforcement Learning by Takuya Hiraoka et al
10-06-2021	Exploring the Common Principal Subspace of Deep Features in Neural Networks by Haoran Liu et al
10-05-2021	Truth-Conditional Captioning of Time Series Data by Harsh Jhamtani et al
10-06-2021	Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models by Jen-Hao Rick Chang et al
10-06-2021	Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling by Tobias Leemann et al
10-06-2021	Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer by Wenda Xu et al
10-07-2021	Gaussian Process for Trajectories by Kien Nguyen et al
10-07-2021	A Broad Ensemble Learning System for Drifting Stream Classification by Sepehr Bakhshi et al
10-08-2021	Extragradient Method: O(1/K)O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity by Eduard Gorbunov et al
10-06-2021	A New Weakly Supervised Learning Approach for Real-time Iron Ore Feed Load Estimation by Li Guo et al
10-08-2021	New Insights into Graph Convolutional Networks using Neural Tangent Kernels by Mahalakshmi Sabanayagam et al
10-08-2021	TopoDetect: Framework for Topological Features Detection in Graph Embeddings by Maroun Haddad et al
10-05-2021	FedDQ: Communication-Efficient Federated Learning with Descending Quantization by Linping Qu et al
10-05-2021	BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images by Boyu Zhang et al
10-08-2021	Learning Topic Models: Identifiability and Finite-Sample Analysis by Yinyin Chen et al
10-07-2021	Peer Collaborative Learning for Polyphonic Sound Event Detection by Hayato Endo et al
10-06-2021	Robust Algorithms for GMM Estimation: A Finite Sample Viewpoint by Dhruv Rohatgi et al
10-07-2021	Joint optimization of system design and reconstruction in MIMO radar imaging by Tomer Weiss et al
10-06-2021	Use of Deterministic Transforms to Design Weight Matrices of a Neural Network by Pol Grau Jurado et al
10-06-2021	Efficient and Private Federated Learning with Partially Trainable Networks by Hakim Sidahmed et al
10-05-2021	Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models by Michael Lutter et al
10-06-2021	Inference Attacks Against Graph Neural Networks by Zhikun Zhang et al
10-07-2021	A Multi-viewpoint Outdoor Dataset for Human Action Recognition by Asanka G. Perera et al
10-06-2021	Learning Sparse Masks for Diffusion-based Image Inpainting by Tobias Alt et al
10-06-2021	On The Transferability of Deep-Q Networks by Matthia Sabatelli et al
10-07-2021	A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data by Daniel Canaday et al
10-07-2021	Bisimulations for Neural Network Reduction by Pavithra Prabhakar
10-07-2021	Contextual Sentence Classification: Detecting Sustainability Initiatives in Company Reports by Dan Hirlea et al
10-06-2021	Offline RL With Resource Constrained Online Deployment by Jayanth Reddy Regatti et al
10-06-2021	On the Importance of Firth Bias Reduction in Few-Shot Classification by Saba Ghaffari et al
10-06-2021	RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests by Victor Chernozhukov et al
10-05-2021	HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling by Xin Huang et al
10-05-2021	Distribution Mismatch Correction for Improved Robustness in Deep Neural Networks by Alexander Fuchs et al
10-05-2021	Multi-Objective Few-shot Learning for Fair Classification by Ishani Mondal et al
10-05-2021	Post-hoc Models for Performance Estimation of Machine Learning Inference by Xuechen Zhang et al
10-05-2021	Ripple Attention for Visual Perception with Sub-quadratic Complexity by Lin Zheng et al
10-05-2021	Quantum Semi-Supervised Learning with Quantum Supremacy by Zhou Shangnan
10-05-2021	Multi-Object Tracking with Deep Learning Ensemble for Unmanned Aerial System Applications by Wanlin Xie et al
10-07-2021	Lagrangian Neural Network with Differential Symmetries and Relational Inductive Bias by Ravinder Bhattoo et al
10-08-2021	Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning by Sungyong Baik et al
10-05-2021	Co-training an Unsupervised Constituency Parser with Weak Supervision by Nickil Maveli et al
10-07-2021	CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation by Matin Yousefabadi et al
10-07-2021	FOCUS: Familiar Objects in Common and Uncommon Settings by Priyatham Kattakinda et al
10-06-2021	PRRS Outbreak Prediction via Deep Switching Auto-Regressive Factorization Modeling by Mohammadsadegh Shamsabardeh et al
10-08-2021	Kinematically consistent recurrent neural networks for learning inverse problems in wave propagation by Wrik Mallik et al
10-05-2021	Pedestrian Wind Factor Estimation in Complex Urban Environments by Sarah Mokhtar et al
10-05-2021	Transfer Learning U-Net Deep Learning for Lung Ultrasound Segmentation by Dorothy Cheng et al
10-06-2021	Data-driven behavioural biometrics for continuous and adaptive user verification using Smartphone and Smartwatch by Akriti Verma et al
10-06-2021	Learning Canonical Embedding for Non-rigid Shape Matching by Abhishek Sharma et al
10-08-2021	On the Implicit Biases of Architecture & Gradient Descent by Jeremy Bernstein et al
10-07-2021	Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving by Qiyu Wan et al
10-06-2021	StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis by Islem Mhiri et al
10-07-2021	Generative Pre-Trained Transformer for Cardiac Abnormality Detection by Pierre Louis Gaudilliere et al
10-05-2021	Dataset Structural Index: Understanding a machines perspective towards visual data by Dishant Parikh
10-05-2021	A Hybrid Spatial-temporal Sequence-to-one Neural Network Model for Lane Detection by Yongqi Dong et al
10-06-2021	8-bit Optimizers via Block-wise Quantization by Tim Dettmers et al
10-06-2021	Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural Networks by Alan Jeffares et al
10-06-2021	On Margin Maximization in Linear and ReLU Networks by Gal Vardi et al
10-05-2021	Voice Aging with Audio-Visual Style Transfer by Justin Wilson et al
10-07-2021	Creating Training Sets via Weak Indirect Supervision by Jieyu Zhang et al
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10-06-2021	Tribuo: Machine Learning with Provenance in Java by Adam Pocock
10-06-2021	Distributed Optimization of Graph Convolutional Network using Subgraph Variance by Taige Zhao et al
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10-06-2021	Attack as the Best Defense: Nullifying Image-to-image Translation GANs via Limit-aware Adversarial Attack by Chin-Yuan Yeh et al
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10-05-2021	How to Query An Oracle? Efficient Strategies to Label Data by Farshad Lahouti et al
10-05-2021	NaRLE: Natural Language Models using Reinforcement Learning with Emotion Feedback by Ruijie Zhou et al
10-06-2021	Disentangling deep neural networks with rectified linear units using duality by Chandrashekar Lakshminarayanan et al
10-07-2021	Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees by Aleksandr Beznosikov et al
10-05-2021	Detecting and Quantifying Malicious Activity with Simulation-based Inference by Andrew Gambardella et al
10-06-2021	On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications by Ziqiao Wang et al
10-06-2021	Reliable Probability Intervals For Classification Using Inductive Venn Predictors Based on Distance Learning by Dimitrios Boursinos et al
10-06-2021	Improving Adversarial Robustness for Free with Snapshot Ensemble by Yihao Wang
10-05-2021	Feature Selection by a Mechanism Design by Xingwei Hu
10-07-2021	On the Latent Holes of VAEs for Text Generation by Ruizhe Li et al
10-08-2021	Local and Global Context-Based Pairwise Models for Sentence Ordering by Ruskin Raj Manku et al
10-07-2021	Contrastive Learning for Source Code with Structural and Functional Properties by Yangruibo Ding et al
10-06-2021	FOD-A: A Dataset for Foreign Object Debris in Airports by Travis Munyer et al
10-07-2021	Score-based Generative Neural Networks for Large-Scale Optimal Transport by Max Daniels et al
10-07-2021	Joint calibration and mapping of satellite altimetry data using trainable variational models by Quentin Febvre et al
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10-05-2021	Robustness modularity in complex networks by Filipi N. Silva et al
10-05-2021	On the Correspondence between Gaussian Processes and Geometric Harmonics by Felix Dietrich et al
10-08-2021	Taming Sparsely Activated Transformer with Stochastic Experts by Simiao Zuo et al
10-05-2021	Noisy Feature Mixup by Soon Hoe Lim et al
10-08-2021	COVID-19 Monitoring System using Social Distancing and Face Mask Detection on Surveillance video datasets by Rujula Singh R et al
10-08-2021	Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions by Xiaotie Deng et al
10-07-2021	ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning by Zhiyu Yao et al
10-06-2021	ParaDiS: Parallelly Distributable Slimmable Neural Networks by Alexey Ozerov et al
10-05-2021	Task Affinity with Maximum Bipartite Matching in Few-Shot Learning by Cat P. Le et al
10-06-2021	Focus on the Common Good: Group Distributional Robustness Follows by Vihari Piratla et al
10-05-2021	Structural Causal Interpretation Theorem by Matej Zečević et al
10-05-2021	Tradeoffs in Streaming Binary Classification under Limited Inspection Resources by Parisa Hassanzadeh et al
10-08-2021	Revisiting Design Choices in Model-Based Offline Reinforcement Learning by Cong Lu et al
10-08-2021	Adaptive Sampling for Heterogeneous Rank Aggregation from Noisy Pairwise Comparisons by Yue Wu et al
10-06-2021	Graphon based Clustering and Testing of Networks: Algorithms and Theory by Mahalakshmi Sabanayagam et al
10-08-2021	SCaLa: Supervised Contrastive Learning for End-to-End Automatic Speech Recognition by Li Fu et al
10-07-2021	To Charge or To Sell? EV Pack Useful Life Estimation via LSTMs and Autoencoders by Michael Bosello et al
10-07-2021	A Model Selection Approach for Corruption Robust Reinforcement Learning by Chen-Yu Wei et al
10-05-2021	Solve Minimax Optimization by Anderson Acceleration by Huan He et al
10-05-2021	Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks by Robert McCarthy et al
10-06-2021	Sharp Learning Bounds for Contrastive Unsupervised Representation Learning by Han Bao et al
10-06-2021	CBP: Backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method by Guhyun Kim et al
10-05-2021	The Power of Contrast for Feature Learning: A Theoretical Analysis by Wenlong Ji et al
10-05-2021	Can an AI agent hit a moving target? by Rui et al
10-05-2021	A Critique of Strictly Batch Imitation Learning by Gokul Swamy et al
10-05-2021	Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images by Lukas Kondmann et al
10-05-2021	Federating for Learning Group Fair Models by Afroditi Papadaki et al
10-08-2021	Subspace Change-Point Detection via Low-Rank Matrix Factorisation by Euan Thomas McGonigle et al
10-05-2021	Disambiguation-BERT for N-best Rescoring in Low-Resource Conversational ASR by Pablo Ortiz et al
10-07-2021	Attention is All You Need? Good Embeddings with Statistics are enough: Audio Understanding WITHOUT Convolutions/Transformers/BERTs/Mixers/Attention/RNNs or ... by Prateek Verma
10-07-2021	Explaining Deep Reinforcement Learning Agents In The Atari Domain through a Surrogate Model by Alexander Sieusahai et al
10-07-2021	Sparse MoEs meet Efficient Ensembles by James Urquhart Allingham et al
10-06-2021	Generative Modeling with Optimal Transport Maps by Litu Rout et al
10-08-2021	Privacy-Aware Communication Over the Wiretap Channel with Generative Networks by Ecenaz Erdemir et al
10-05-2021	Applying Machine Learning to Study Fluid Mechanics by Steven L. Brunton
10-05-2021	A Methodology to Identify Cognition Gaps in Visual Recognition Applications Based on Convolutional Neural Networks by Hannes Vietz et al
10-05-2021	The Potential of Machine Learning to Enhance Computational Fluid Dynamics by Ricardo Vinuesa et al
10-07-2021	Training Stable Graph Neural Networks Through Constrained Learning by Juan Cervino et al
10-07-2021	FAST-RIR: Fast neural diffuse room impulse response generator by Anton Ratnarajah et al
10-08-2021	Improving Pseudo-label Training For End-to-end Speech Recognition Using Gradient Mask by Shaoshi Ling et al
10-05-2021	Task-aware Privacy Preservation for Multi-dimensional Data by Jiangnan Cheng et al
10-07-2021	On the relationship between disentanglement and multi-task learning by Łukasz Maziarka et al
10-06-2021	Learning Multi-Objective Curricula for Deep Reinforcement Learning by Jikun Kang et al
10-06-2021	Human-in-the-Loop Refinement of Word Embeddings by James Powell et al
10-06-2021	Bayesian neural network unit priors and generalized Weibull-tail property by Mariia Vladimirova et al
10-07-2021	Stable Prediction on Graphs with Agnostic Distribution Shift by Shengyu Zhang et al
10-05-2021	Coarsening Optimization for Differentiable Programming by Xipeng Shen et al
10-06-2021	Residual Overfit Method of Exploration by James McInerney et al

10-06-2021	Foolish Crowds Support Benign Overfitting by Niladri S. Chatterji et al
10-05-2021	SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision by Chaoyang He et al
10-07-2021	Ship Performance Monitoring using Machine-learning by Prateek Gupta et al
10-06-2021	An Analysis of Attentive Walk-Aggregating Graph Neural Networks by Mehmet F. Demirel et al
10-06-2021	Shifting Capsule Networks from the Cloud to the Deep Edge by Miguel Costa et al
10-08-2021	On the Limitations of Multimodal VAEs by Imant Daunhawer et al
10-08-2021	Deep Upper Confidence Bound Algorithm for Contextual Bandit Ranking of Information Selection by Michael Rawson et al
10-08-2021	3D Infomax improves GNNs for Molecular Property Prediction by Hannes Stärk et al
10-07-2021	Boxhead: A Dataset for Learning Hierarchical Representations by Yukun Chen et al
10-06-2021	Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training by Ehsan Haghighat et al
10-08-2021	Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management by Sergio Cofre-Martel et al
10-06-2021	Hybrid Pointer Networks for Traveling Salesman Problems Optimization by Ahmed Stohy et al
10-06-2021	Multi-Trigger-Key: Towards Multi-Task Privacy Preserving In Deep Learning by Ren Wang et al
10-07-2021	Towards Continual Knowledge Learning of Language Models by Joel Jang et al
10-07-2021	Universality of Deep Neural Network Lottery Tickets: A Renormalization Group Perspective by William T. Redman et al
10-05-2021	Phoebe: A Learning-based Checkpoint Optimizer by Yiwen Zhu et al
10-05-2021	Networked Time Series Prediction with Incomplete Data by Yichen Zhu et al
10-05-2021	Bilevel Imaging Learning Problems as Mathematical Programs with Complementarity Constraints by Juan Carlos De los Reyes et al
10-05-2021	SeanNet: Semantic Understanding Network for Localization Under Object Dynamics by Xiao Li et al
10-07-2021	SVG-Net: An SVG-based Trajectory Prediction Model by Mohammadhossein Bahari et al
10-07-2021	Explanation as a process: user-centric construction of multi-level and multi-modal explanations by Bettina Finzel et al
10-06-2021	A Survey on Evidential Deep Learning For Single-Pass Uncertainty Estimation by Dennis Ulmer
10-05-2021	Exploring the Limits of Large Scale Pre-training by Samira Abnar et al
10-05-2021	Top-N: Equivariant set and graph generation without exchangeability by Clement Vignac et al
10-07-2021	Bias-Variance Tradeoffs in Single-Sample Binary Gradient Estimators by Alexander Shekhovtsov
10-08-2021	Learning Sparse Graphs with a Core-periphery Structure by Sravanthi Gurugubelli et al
10-06-2021	Predicting the Popularity of Games on Steam by Andraž De Luisa et al
10-05-2021	Language Modeling using LMUs: 10x Better Data Efficiency or Improved Scaling Compared to Transformers by Narsimha Chilkuri et al
10-07-2021	Learning Higher-Order Dynamics in Video-Based Cardiac Measurement by Brian L. Hill et al
10-07-2021	Direct design of biquad filter cascades with deep learning by sampling random polynomials by Joseph T. Colonel et al
10-06-2021	Inter-Domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning by Basar Demir et al
10-06-2021	Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates by Oytun Demirbilek et al
10-07-2021	CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability by Martin Mundt et al
10-06-2021	S-Extension Patch: A simple and efficient way to extend an object detection model by Dishant Parikh
10-06-2021	Scaling Up Machine Learning For Quantum Field Theory with Equivariant Continuous Flows by Pim de Haan et al
10-06-2021	Physics-Informed Neural Networks for AC Optimal Power Flow by Rahul Nellikkath et al
10-08-2021	Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters by Vladislav Kurenkov et al
10-05-2021	OTTR: Off-Road Trajectory Tracking using Reinforcement Learning by Akhil Nagariya et al
10-07-2021	Tighter Sparse Approximation Bounds for ReLU Neural Networks by Carles Domingo-Enrich et al
10-07-2021	Representation of professions in entertainment media: Insights into frequency and sentiment trends through computational text analysis by Sabyasachee Baruah et al
10-05-2021	PoNet: Pooling Network for Efficient Token Mixing in Long Sequences by Chao-Hong Tan et al
10-05-2021	CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentation by Peng Liu et al
10-05-2021	You Only Evaluate Once: a Simple Baseline Algorithm for Offline RL by Wonjoon Goo et al
10-05-2021	Exponentially Many Local Minima in Quantum Neural Networks by Xuchen You et al
10-07-2021	Predictive Maintenance for General Aviation Using Convolutional Transformers by Hong Yang et al
10-08-2021	Cognitive Coding of Speech by Reza Lotfidereshgi et al
10-05-2021	Contextual Combinatorial Volatile Bandits via Gaussian Processes by Andi Nika et al
10-08-2021	Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training by Lillian Zhou et al
10-07-2021	Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embedding by Thomas Gebhart et al
10-08-2021	Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks by Huance Xu et al
10-08-2021	Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network by Xiyue Zhang et al
10-06-2021	Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development by Aspen Hopkins et al
10-05-2021	Revisiting SVD to generate powerful Node Embeddings for Recommendation Systems by Amar Budhiraja
10-07-2021	Learning post-processing for QRS detection using Recurrent Neural Network by Ahsan Habib et al
10-08-2021	Pyxis: An Open-Source Performance Dataset of Sparse Accelerators by Linghao Song et al
10-08-2021	Protecting Retail Investors from Order Book Spoofing using a GRU-based Detection Model by Jean-Noël Tuccella et al
10-07-2021	Cross-Domain Imitation Learning via Optimal Transport by Arnaud Fickinger et al
10-07-2021	Neural Tangent Kernel Empowered Federated Learning by Kai Yue et al
10-07-2021	Predicting Chemical Hazard across Taxa through Machine Learning by Jimeng Wu et al
10-07-2021	Towards Robust and Transferable IIoT Sensor based Anomaly Classification using Artificial Intelligence by Jana Kemnitz et al
10-05-2021	Unpacking the Black Box: Regulating Algorithmic Decisions by Laura Blattner et al
10-05-2021	A Comparison of Neural Network Architectures for Data-Driven Reduced-Order Modeling by Anthony Gruber et al
10-05-2021	A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction by Moitreya Chatterjee et al
10-07-2021	Multi-Head ReLU Implicit Neural Representation Networks by Arya Aftab et al
10-06-2021	Two-Bit Aggregation for Communication Efficient and Differentially Private Federated Learning by Mohammad Aghapour et al
10-07-2021	Global sensitivity analysis in probabilistic graphical models by Rafael Ballester-Ripoll et al
10-05-2021	Joint inference of multiple graphs with hidden variables from stationary graph signals by Samuel Rey et al
10-06-2021	Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning by Jingwen Li et al
10-07-2021	On the Optimal Memorization Power of ReLU Neural Networks by Gal Vardi et al
10-06-2021	Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective by Huanle Zhang et al
10-06-2021	Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs by Philipp Benz et al
10-08-2021	Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation by KwanYong Park et al
10-06-2021	From STL Rulebooks to Rewards by Edgar A. Aguilar et al
10-07-2021	Bad-Policy Density: A Measure of Reinforcement Learning Hardness by David Abel et al
10-07-2021	Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect by Yuqing Wang et al
10-05-2021	Explaining Off-Policy Actor-Critic From A Bias-Variance Perspective by Ting-Han Fan et al
10-05-2021	Spectral Bias in Practice: The Role of Function Frequency in Generalization by Sara Fridovich-Keil et al
10-07-2021	Neural Networks, Inside Out: Solving for Inputs Given Parameters (A Preliminary Investigation) by Mohammad Sadeq Dousti
10-08-2021	Collaging Class-specific GANs for Semantic Image Synthesis by Yuheng Li et al
10-08-2021	Is MC Dropout Bayesian? by Loic Le Folgoc et al
10-05-2021	Attaining Interpretability in Reinforcement Learning via Hierarchical Primitive Composition by Jeong-Hoon Lee et al
10-05-2021	A new harmonium for pattern recognition in survival data by Hylke C. Donker et al
10-07-2021	AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow by Haiyan Jiang et al
10-05-2021	On the Impact of Stable Ranks in Deep Nets by Bogdan Georgiev et al
10-07-2021	Solving the Dirichlet problem for the Monge-Amp\`ere equation using neural networks by Kaj Nyström et al
10-08-2021	Differentiable Programming of Isometric Tensor Networks by Chenhua Geng et al
10-08-2021	A Study of Low-Resource Speech Commands Recognition based on Adversarial Reprogramming by Hao Yen et al
10-08-2021	Quantifying Inequality in Underreported Medical Conditions by Divya Shanmugam et al
10-08-2021	Learning to Centralize Dual-Arm Assembly by Marvin Alles et al
10-05-2021	VC dimension of partially quantized neural networks in the overparametrized regime by Yutong Wang et al
10-06-2021	No-Press Diplomacy from Scratch by Anton Bakhtin et al
10-06-2021	Data Twinning by Akhil Vakayil et al
10-06-2021	On the Global Convergence of Gradient Descent for multi-layer ResNets in the mean-field regime by Zhiyan Ding et al
10-07-2021	DeepECMP: Predicting Extracellular Matrix Proteins using Deep Learning by Mohamed Ghafoor et al
10-07-2021	Unsupervised Image Decomposition with Phase-Correlation Networks by Angel Villar-Corrales et al
10-07-2021	Complex-valued deep learning with differential privacy by Alexander Ziller et al
10-06-2021	Optimized Recommender Systems with Deep Reinforcement Learning by Lucas Farris
10-05-2021	Deep Neural Networks and Tabular Data: A Survey by Vadim Borisov et al
10-07-2021	Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks by Soroush Nasiriany et al
10-07-2021	Addressing practical challenges in Active Learning via a hybrid query strategy by Deepesh Agarwal et al
10-07-2021	Machine Learning approaches to do size based reasoning on Retail Shelf objects to classify product variants by Muktabh Mayank Srivastava et al
10-07-2021	The Connection between Out-of-Distribution Generalization and Privacy of ML Models by Divyat Mahajan et al
10-06-2021	Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective by Luca Scimeca et al
10-06-2021	CTC Variations Through New WFST Topologies by Aleksandr Laptev et al
10-06-2021	Cooperative Multi-Agent Actor-Critic for Privacy-Preserving Load Scheduling in a Residential Microgrid by Zhaoming Qin et al
10-06-2021	Relative Entropy Gradient Sampler for Unnormalized Distributions by Xingdong Feng et al
10-06-2021	FTPipeHD: A Fault-Tolerant Pipeline-Parallel Distributed Training Framework for Heterogeneous Edge Devices by Yuhao Chen et al
10-07-2021	Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design by Ye Yuan et al
10-05-2021	Shapley variable importance clouds for interpretable machine learning by Yilin Ning et al
10-05-2021	Replay-Guided Adversarial Environment Design by Minqi Jiang et al
10-05-2021	A Deep Learning-based Audio-in-Image Watermarking Scheme by Arjon Das et al
10-05-2021	Continuous-Time Fitted Value Iteration for Robust Policies by Michael Lutter et al
10-05-2021	Classification of high-dimensional data with spiked covariance matrix structure by Yin-Jen Chen et al
10-05-2021	When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint by Yoav Freund et al
10-07-2021	Propagating State Uncertainty Through Trajectory Forecasting by Boris Ivanovic et al
10-07-2021	Improving MC-Dropout Uncertainty Estimates with Calibration Error-based Optimization by Afshar Shamsi et al
10-05-2021	An Efficient Anomaly Detection Approach using Cube Sampling with Streaming Data by Seemandhar Jain et al
10-06-2021	Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy by Jiehui Xu et al
10-05-2021	Communication-Efficient Federated Learning with Binary Neural Networks by Yuzhi Yang et al
10-05-2021	Hybrid Classical-Quantum method for Diabetic Foot Ulcer Classification by Azadeh Alavi et al
10-06-2021	QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks by Jun Qi et al
10-07-2021	Token Pooling in Visual Transformers by Dmitrii Marin et al
10-07-2021	Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks by Hanxun Huang et al
10-07-2021	Arachnophobia Exposure Therapy using Experience-driven Procedural Content Generation via Reinforcement Learning (EDPCGRL) by Athar Mahmoudi-Nejad et al
10-06-2021	Unrolling Particles: Unsupervised Learning of Sampling Distributions by Fernando Gama et al
10-06-2021	Equivariant Subgraph Aggregation Networks by Beatrice Bevilacqua et al
10-07-2021	Differential Anomaly Detection for Facial Images by Mathias Ibsen et al
10-08-2021	Iterative Decoding for Compositional Generalization in Transformers by Luana Ruiz et al
10-07-2021	Scaling Bayesian Optimization With Game Theory by L. Mathesen et al
10-08-2021	Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions by Thippa Reddy Gadekallu et al
10-06-2021	Seed Classification using Synthetic Image Datasets Generated from Low-Altitude UAV Imagery by Venkat Margapuri et al
10-06-2021	T-SNE Is Not Optimized to Reveal Clusters in Data by Zhirong Yang et al
10-07-2021	Using Keypoint Matching and Interactive Self Attention Network to verify Retail POSMs by Harshita Seth et al
10-06-2021	Consistent Counterfactuals for Deep Models by Emily Black et al
10-07-2021	Federated Learning from Small Datasets by Michael Kamp et al
10-06-2021	Learning the Optimal Recommendation from Explorative Users by Fan Yao et al
10-06-2021	An Unconstrained Layer-Peeled Perspective on Neural Collapse by Wenlong Ji et al
10-07-2021	Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition by Qiujia Li et al