2022.2.21 Learning papers

02-17-2022	Gradients without Backpropagation by Atılım Güneş Baydin et al
02-17-2022	Measuring Trustworthiness or Automating Physiognomy? A Comment on Safra, Chevallier, Gr\`ezes, and Baumard (2020) by Rory W Spanton et al
02-16-2022	A Data-Augmentation Is Worth A Thousand Samples: Exact Quantification From Analytical Augmented Sample Moments by Randall Balestriero et al
02-16-2022	Limitations of Neural Collapse for Understanding Generalization in Deep Learning by Like Hui et al
02-16-2022	A data-driven approach for learning to control computers by Peter C Humphreys et al
02-15-2022	General-purpose, long-context autoregressive modeling with Perceiver AR by Curtis Hawthorne et al
02-16-2022	Synthetic Control As Online Linear Regression by Jiafeng Chen
02-16-2022	Anomalib: A Deep Learning Library for Anomaly Detection by Samet Akcay et al
02-17-2022	Information Theory with Kernel Methods by Francis Bach
02-15-2022	Forecasting Global Weather with Graph Neural Networks by Ryan Keisler
02-17-2022	MLP-ASR: Sequence-length agnostic all-MLP architectures for speech recognition by Jin Sakuma et al
02-17-2022	Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization by Brandon Trabucco et al
02-17-2022	Improving Intrinsic Exploration with Language Abstractions by Jesse Mu et al
02-15-2022	Quantifying Memorization Across Neural Language Models by Nicholas Carlini et al
02-15-2022	Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations by Youwei Liang et al
02-16-2022	Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey by Ferdinando Fioretto et al
02-16-2022	Retrieval-Augmented Reinforcement Learning by Anirudh Goyal et al
02-17-2022	Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth by Jeff Calder et al
02-17-2022	Universality of empirical risk minimization by Andrea Montanari et al
02-17-2022	DeepHybrid: Deep Learning on Automotive Radar Spectra and Reflections for Object Classification by Adriana-Eliza Cozma et al
02-15-2022	The Quarks of Attention by Pierre Baldi et al
02-17-2022	End-to-End Training of Both Translation Models in the Back-Translation Framework by DongNyeong Heo et al
02-15-2022	Speech Denoising in the Waveform Domain with Self-Attention by Zhifeng Kong et al
02-16-2022	Towards Battery-Free Machine Learning and Inference in Underwater Environments by Yuchen Zhao et al
02-17-2022	Grammar-Based Grounded Lexicon Learning by Jiayuan Mao et al
02-15-2022	Robust Multi-Objective Bayesian Optimization Under Input Noise by Samuel Daulton et al
02-15-2022	Unreasonable Effectiveness of Last Hidden Layer Activations by Omer Faruk Tuna et al
02-15-2022	Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation by Jannis Bulian et al
02-15-2022	Adaptive Conformal Predictions for Time Series by Margaux Zaffran et al
02-17-2022	Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting by Vilde Jensen et al
02-16-2022	Efficient Distributed Machine Learning via Combinatorial Multi-Armed Bandits by Maximilian Egger et al
02-16-2022	Generative modeling with projected entangled-pair states by Tom Vieijra et al
02-15-2022	Bayesian Optimisation for Active Monitoring of Air Pollution by Sigrid Passano Hellan et al
02-15-2022	textless-lib: a Library for Textless Spoken Language Processing by Eugene Kharitonov et al
02-15-2022	Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods by Aleksandr Beznosikov et al
02-17-2022	General Cyclical Training of Neural Networks by Leslie N. Smith
02-18-2022	tinyMAN: Lightweight Energy Manager using Reinforcement Learning for Energy Harvesting Wearable IoT Devices by Toygun Basaklar et al
02-16-2022	Domain Adaptive Fake News Detection via Reinforcement Learning by Ahmadreza Mosallanezhad et al
02-15-2022	SpeechPainter: Text-conditioned Speech Inpainting by Zalán Borsos et al
02-16-2022	Planckian jitter: enhancing the color quality of self-supervised visual representations by Simone Zini et al
02-17-2022	Should I send this notification? Optimizing push notifications decision making by modeling the future by Conor O'Brien et al
02-15-2022	On the Role of Channel Capacity in Learning Gaussian Mixture Models by Elad Romanov et al
02-16-2022	Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model by Hao Zhang et al
02-16-2022	Bias and unfairness in machine learning models: a systematic literature review by Tiago Palma Pagano et al
02-17-2022	Symphony: Composing Interactive Interfaces for Machine Learning by Alex Bäuerle et al
02-18-2022	Interpolation and Regularization for Causal Learning by Leena Chennuru Vankadara et al
02-16-2022	Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation by Ece Isik-Polat et al
02-16-2022	Can Deep Learning be Applied to Model-Based Multi-Object Tracking? by Juliano Pinto et al
02-16-2022	GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates by Vibhor Agarwal et al
02-15-2022	The NLP Task Effectiveness of Long-Range Transformers by Guanghui Qin et al
02-17-2022	Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness by Kate Donahue et al
02-15-2022	Random Feature Amplification: Feature Learning and Generalization in Neural Networks by Spencer Frei et al
02-16-2022	Meta Knowledge Distillation by Jihao Liu et al
02-16-2022	Voice Filter: Few-shot text-to-speech speaker adaptation using voice conversion as a post-processing module by Adam Gabryś et al
02-16-2022	Time-Correlated Sparsification for Efficient Over-the-Air Model Aggregation in Wireless Federated Learning by Yuxuan Sun et al
02-15-2022	Holistic Adversarial Robustness of Deep Learning Models by Pin-Yu Chen et al
02-17-2022	End-to-end Music Remastering System Using Self-supervised and Adversarial Training by Junghyun Koo et al
02-15-2022	Eliciting Best Practices for Collaboration with Computational Notebooks by Luigi Quaranta et al
02-17-2022	Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries by Nika Haghtalab et al
02-16-2022	Should You Mask 15% in Masked Language Modeling? by Alexander Wettig et al
02-16-2022	On loss functions and evaluation metrics for music source separation by Enric Gusó et al
02-15-2022	Neural Architecture Search for Dense Prediction Tasks in Computer Vision by Thomas Elsken et al
02-16-2022	Singing-Tacotron: Global duration control attention and dynamic filter for End-to-end singing voice synthesis by Tao Wang et al
02-17-2022	Learning stochastic dynamics and predicting emergent behavior using transformers by Corneel Casert et al
02-18-2022	Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI by Jörg Sander et al
02-18-2022	Can Interpretable Reinforcement Learning Manage Assets Your Way? by Charl Maree et al
02-15-2022	Personalized Prompt Learning for Explainable Recommendation by Lei Li et al
02-17-2022	A hybrid 2-stage vision transformer for AI-assisted 5 class pathologic diagnosis of gastric endoscopic biopsies by Yujin Oh et al
02-17-2022	A Study of Designing Compact Audio-Visual Wake Word Spotting System Based on Iterative Fine-Tuning in Neural Network Pruning by Hengshun Zhou et al
02-17-2022	Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization by Jianhao Ma et al
02-16-2022	Quantum Lazy Training by Erfan Abedi et al
02-17-2022	Winograd Convolution: A Perspective from Fault Tolerance by Xinghua Xue et al
02-17-2022	The merged-staircase property: a necessary and nearly sufficient condition for SGD learning of sparse functions on two-layer neural networks by Emmanuel Abbe et al
02-17-2022	Robust SVM Optimization in Banach spaces by Mohammed Sbihi et al
02-17-2022	Designing Effective Sparse Expert Models by Barret Zoph et al
02-17-2022	Dynamic Object Comprehension: A Framework For Evaluating Artificial Visual Perception by Scott Y. L. Chin et al
02-16-2022	Extended Unconstrained Features Model for Exploring Deep Neural Collapse by Tom Tirer et al
02-15-2022	Defending against Reconstruction Attacks with R\enyi Differential Privacy by Pierre Stock et al
02-16-2022	On Measuring Excess Capacity in Neural Networks by Florian Graf et al
02-16-2022	Augment with Care: Contrastive Learning for the Boolean Satisfiability Problem by Haonan Duan et al
02-15-2022	NeuPL: Neural Population Learning by Siqi Liu et al
02-15-2022	Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition by Jie Su et al
02-15-2022	Deep learning and differential equations for modeling changes in individual-level latent dynamics between observation periods by Göran Köber et al
02-15-2022	Confidence Threshold Neural Diving by Taehyun Yoon
02-17-2022	Point Cloud Generation with Continuous Conditioning by Larissa T. Triess et al
02-15-2022	Learning to Solve Routing Problems via Distributionally Robust Optimization by Yuan Jiang et al
02-17-2022	Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition by Chao-Han Huck Yang et al
02-17-2022	Survey on Self-supervised Representation Learning Using Image Transformations by Muhammad Ali et al
02-15-2022	Information-Theoretic Analysis of Minimax Excess Risk by Hassan Hafez-Kolahi et al
02-16-2022	TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery by Zhaocheng Zhu et al
02-15-2022	Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms by Romain Laroche et al
02-18-2022	Deep-Learning Architectures for Multi-Pitch Estimation: Towards Reliable Evaluation by Christof Weiß et al
02-16-2022	Phase Aberration Robust Beamformer for Planewave US Using Self-Supervised Learning by Shujaat Khan et al
02-15-2022	DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks by Jiachen Zhong et al
02-17-2022	KINet: Keypoint Interaction Networks for Unsupervised Forward Modeling by Alireza Rezazadeh et al
02-16-2022	IPD:An Incremental Prototype based DBSCAN for large-scale data with cluster representatives by Jayasree Saha et al
02-15-2022	Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection by Cristian Challu et al
02-16-2022	Cross-Modal Common Representation Learning with Triplet Loss Functions by Felix Ott et al
02-15-2022	A Unified Framework for Masked and Mask-Free Face Recognition via Feature Rectification by Shaozhe Hao et al
02-16-2022	Generalizable Information Theoretic Causal Representation by Mengyue Yang et al
02-18-2022	Microplankton life histories revealed by holographic microscopy and deep learning by Harshith Bachimanchi et al
02-16-2022	Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks by Amy Babay et al
02-15-2022	Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness by Sarah Sachs et al
02-17-2022	Detecting and Learning the Unknown in Semantic Segmentation by Robin Chan et al
02-16-2022	A multi-reconstruction study of breast density estimation using Deep Learning by Vikash Gupta et al
02-16-2022	Diagnosing Batch Normalization in Class Incremental Learning by Minghao Zhou et al
02-16-2022	Learning to Generalize across Domains on Single Test Samples by Zehao Xiao et al
02-15-2022	Explaining Reject Options of Learning Vector Quantization Classifiers by André Artelt et al
02-18-2022	Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder by Xiaoyu Lin et al
02-16-2022	Single Trajectory Nonparametric Learning of Nonlinear Dynamics by Ingvar Ziemann et al
02-15-2022	Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets by Han Zhong et al
02-17-2022	Contrastive Meta Learning with Behavior Multiplicity for Recommendation by Wei Wei et al
02-17-2022	A Collection and Categorization of Open-Source Wind and Wind Power Datasets by Nina Effenberger et al
02-15-2022	Predicting on the Edge: Identifying Where a Larger Model Does Better by Taman Narayan et al
02-15-2022	Conformal Prediction Sets with Limited False Positives by Adam Fisch et al
02-15-2022	XAI for Transformers: Better Explanations through Conservative Propagation by Ameen Ali et al
02-17-2022	Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines by Alexander Isenko et al
02-16-2022	Task-Agnostic Graph Explanations by Yaochen Xie et al

02-16-2022	A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization by Pamul Yadav et al
02-15-2022	Reducing Overconfidence Predictions for Autonomous Driving Perception by Gledson Melotti et al
02-15-2022	Navigating Local Minima in Quantized Spiking Neural Networks by Jason K. Eshraghian et al
02-15-2022	Lie Point Symmetry Data Augmentation for Neural PDE Solvers by Johannes Brandstetter et al
02-17-2022	Transformer for Graphs: An Overview from Architecture Perspective by Erxue Min et al
02-15-2022	Applying adversarial networks to increase the data efficiency and reliability of Self-Driving Cars by Aakash Kumar
02-15-2022	Low-Rank Phase Retrieval with Structured Tensor Models by Soo Min Kwon et al
02-18-2022	Generalizing Aggregation Functions in GNNs:High-Capacity GNNs via Nonlinear Neighborhood Aggregators by Beibei Wang et al
02-15-2022	Realistic Counterfactual Explanations by Learned Relations by Xintao Xiang et al
02-17-2022	LAMP: Extracting Text from Gradients with Language Model Priors by Dimitar I. Dimitrov et al
02-17-2022	Does the End Justify the Means? On the Moral Justification of Fairness-Aware Machine Learning by Hilde Weerts et al
02-18-2022	How to Manage Tiny Machine Learning at Scale: An Industrial Perspective by Haoyu Ren et al
02-17-2022	Adiabatic Quantum Computing for Multi Object Tracking by Jan-Nico Zaech et al
02-18-2022	Testing the boundaries: Normalizing Flows for higher dimensional data sets by Humberto Reyes-Gonzalez et al
02-16-2022	An Intrusion Response System utilizing Deep Q-Networks and System Partitions by Valeria Cardellini et al
02-15-2022	A Theory of PAC Learnability under Transformation Invariances by Han Shao et al
02-17-2022	A Distributed Algorithm for Measure-valued Optimization with Additive Objective by Iman Nodozi et al
02-18-2022	Critical Checkpoints for Evaluating Defence Models Against Adversarial Attack and Robustness by Kanak Tekwani et al
02-16-2022	Geometry of the Minimum Volume Confidence Sets by Heguang Lin et al
02-17-2022	An Equivalence Between Data Poisoning and Byzantine Gradient Attacks by Sadegh Farhadkhani et al
02-16-2022	A Prospective Approach for Human-to-Human Interaction Recognition from Wi-Fi Channel Data using Attention Bidirectional Gated Recurrent Neural Network with GUI Application Implementation by Md. Mohi Uddin Khan et al
02-17-2022	Efficient and Reliable Probabilistic Interactive Learning with Structured Outputs by Stefano Teso et al
02-15-2022	Multi-style Training for South African Call Centre Audio by Walter Heymans et al
02-16-2022	Private Online Prefix Sums via Optimal Matrix Factorizations by Brendan McMahan et al
02-17-2022	GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations by Neng Shi et al
02-18-2022	Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast by Yuyang Wang et al
02-15-2022	CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning by Long Yang et al
02-18-2022	A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics by Matthew J. Vowels et al
02-16-2022	Data Augmentation for Deep Graph Learning: A Survey by Kaize Ding et al
02-16-2022	Using the left Gram matrix to cluster high dimensional data by Shahina Rahman et al
02-16-2022	Understanding and Improving Graph Injection Attack by Promoting Unnoticeability by Yongqiang Chen et al
02-16-2022	Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm & Analysis by Yi Zhou et al
02-15-2022	Spatial Transformer K-Means by Romain Cosentino et al
02-15-2022	EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs by Namyong Park et al
02-15-2022	An algorithmic solution to the Blotto game using multi-marginal couplings by Vianney Perchet et al
02-16-2022	HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing by Kenny Schlegel et al
02-15-2022	Accelerating Non-Negative and Bounded-Variable Linear Regression Algorithms with Safe Screening by Cassio Dantas et al
02-15-2022	Federated Graph Neural Networks: Overview, Techniques and Challenges by Rui Liu et al
02-15-2022	REPID: Regional Effect Plots with implicit Interaction Detection by Julia Herbinger et al
02-15-2022	Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation by Jamie Cui et al
02-15-2022	User-Oriented Robust Reinforcement Learning by Haoyi You et al
02-15-2022	Dont stop the training: continuously-updating self-supervised algorithms best account for auditory responses in the cortex by Pierre Orhan et al
02-18-2022	Learning Predictions for Algorithms with Predictions by Mikhail Khodak et al
02-16-2022	Graph Masked Autoencoder by Hongxu Chen et al
02-18-2022	Model Calibration of the Liquid Mercury Spallation Target using Evolutionary Neural Networks and Sparse Polynomial Expansions by Majdi I. Radaideh et al
02-15-2022	Identifying equivalent Calabi--Yau topologies: A discrete challenge from math and physics for machine learning by Vishnu Jejjala et al
02-18-2022	Exploring Adversarially Robust Training for Unsupervised Domain Adaptation by Shao-Yuan Lo et al
02-16-2022	Distributed k-Means with Outliers in General Metrics by Enrico Dandolo et al
02-17-2022	Multi-Objective Model Selection for Time Series Forecasting by Oliver Borchert et al
02-17-2022	Multi-stage Ensemble Model for Cross-market Recommendation by Cesare Bernardis
02-15-2022	One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation by Hajime Ono et al
02-17-2022	Improving Rating and Relevance with Point-of-Interest Recommender System by Syed Raza Bashir et al
02-15-2022	Unsupervised word-level prosody tagging for controllable speech synthesis by Yiwei Guo et al
02-15-2022	StratDef: a strategic defense against adversarial attacks in malware detection by Aqib Rashid et al
02-15-2022	Deeply-Supervised Knowledge Distillation by Shiya Luo et al
02-18-2022	Tackling benign nonconvexity with smoothing and stochastic gradients by Harsh Vardhan et al
02-16-2022	Robust Nonparametric Distribution Forecast with Backtest-based Bootstrap and Adaptive Residual Selection by Longshaokan Wang et al
02-16-2022	TimeREISE: Time-series Randomized Evolving Input Sample Explanation by Dominique Mercier et al
02-15-2022	Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in EdgeIoT by Jingjing Zheng et al
02-18-2022	Molecule Generation for Drug Design: a Graph Learning Perspective by Nianzu Yang et al
02-18-2022	Adaptivity and Confounding in Multi-Armed Bandit Experiments by Chao Qin et al
02-16-2022	The Adversarial Security Mitigations of mmWave Beamforming Prediction Models using Defensive Distillation and Adversarial Retraining by Murat Kuzlu et al
02-16-2022	On a Variance Reduction Correction of the Temporal Difference for Policy Evaluation in the Stochastic Continuous Setting by Ziad Kobeissi et al
02-16-2022	Toward Development of Machine Learned Techniques for Production of Compact Kinetic Models by Mark Kelly et al
02-16-2022	How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity by Chengyue Gong et al
02-15-2022	Deep Reinforcement Learning Based Multi-Access Edge Computing Schedule for Internet of Vehicle by Xiaoyu Dai et al
02-16-2022	Open-Ended Reinforcement Learning with Neural Reward Functions by Robert Meier et al
02-15-2022	Damped Online Newton Step for Portfolio Selection by Zakaria Mhammedi et al
02-15-2022	Generalisation and the Risk--Entropy Curve by Dominic Belcher et al
02-17-2022	DARL1N: Distributed multi-Agent Reinforcement Learning with One-hop Neighbors by Baoqian Wang et al
02-18-2022	Incorporating Texture Information into Dimensionality Reduction for High-Dimensional Images by Alexander Vieth et al
02-17-2022	Recovering Unbalanced Communities in the Stochastic Block Model With Application to Clustering with a Faulty Oracle by Chandra Sekhar Mukherjee et al
02-17-2022	Delay-adaptive step-sizes for asynchronous learning by Xuyang Wu et al
02-18-2022	A Note on the Implicit Bias Towards Minimal Depth of Deep Neural Networks by Tomer Galanti
02-18-2022	(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering by Anoop Cherian et al
02-16-2022	Learning a Single Neuron for Non-monotonic Activation Functions by Lei Wu
02-18-2022	Modelling the semantics of text in complex document layouts using graph transformer networks by Thomas Roland Barillot et al
02-17-2022	CoFED: Cross-silo Heterogeneous Federated Multi-task Learning via Co-training by Xingjian Cao et al
02-17-2022	Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution Problem by Abderrahmen Amich et al
02-15-2022	Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks by Xiangtai Chen et al
02-15-2022	Geometrically Equivariant Graph Neural Networks: A Survey by Jiaqi Han et al
02-15-2022	Closing the Management Gap for Satellite-Integrated Community Networks: A Hierarchical Approach to Self-Maintenance by Peng Hu
02-15-2022	Optimal Algorithms for Stochastic Multi-Level Compositional Optimization by Wei Jiang et al
02-16-2022	Self-Supervised Representation Learning via Latent Graph Prediction by Yaochen Xie et al
02-15-2022	BB-ML: Basic Block Performance Prediction using Machine Learning Techniques by Shamminuj Aktar et al
02-17-2022	Full-Span Log-Linear Model and Fast Learning Algorithm by Kazuya Takabatake et al
02-18-2022	Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network by Tianyu Zhao et al
02-18-2022	An Integrated Optimization and Machine Learning Models to Predict the Admission Status of Emergency Patients by Abdulaziz Ahmed et al
02-18-2022	Rethinking Pareto Frontier for Performance Evaluation of Deep Neural Networks by Vahid Partovi Nia et al
02-16-2022	Deep Koopman Operator with Control for Nonlinear Systems by Haojie Shi et al
02-15-2022	Generative Adversarial Network-Driven Detection of Adversarial Tasks in Mobile Crowdsensing by Zhiyan Chen et al
02-17-2022	Revisiting Over-smoothing in BERT from the Perspective of Graph by Han Shi et al
02-16-2022	A Survey of Explainable Reinforcement Learning by Stephanie Milani et al
02-16-2022	Latent Outlier Exposure for Anomaly Detection with Contaminated Data by Chen Qiu et al
02-18-2022	DataMUX: Data Multiplexing for Neural Networks by Vishvak Murahari et al
02-15-2022	Multi-class granular approximation by means of disjoint and adjacent fuzzy granules by Marko Palangetić et al
02-17-2022	Learning continuous models for continuous physics by Aditi S. Krishnapriyan et al

02-15-2022	Contextual Importance and Utility: aTheoretical Foundation by Kary Främling
02-17-2022	Improving English to Sinhala Neural Machine Translation using Part-of-Speech Tag by Ravinga Perera et al
02-18-2022	Towards a Numerical Proof of Turbulence Closure by Giulio Ortali et al
02-16-2022	Robust Reinforcement Learning via Genetic Curriculum by Yeeho Song et al
02-17-2022	Data-SUITE: Data-centric identification of in-distribution incongruous examples by Nabeel Seedat et al
02-18-2022	ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally! by Konstantin Mishchenko et al
02-15-2022	HiMA: A Fast and Scalable History-based Memory Access Engine for Differentiable Neural Computer by Yaoyu Tao et al
02-15-2022	Deep Convolutional Autoencoder for Assessment of Anomalies in Multi-stream Sensor Data by Anthony Geglio et al
02-15-2022	Convolutional Network Fabric Pruning With Label Noise by Ilias Benjelloun et al
02-15-2022	Bayesian Imitation Learning for End-to-End Mobile Manipulation by Yuqing Du et al
02-17-2022	GRAPHSHAP: Motif-based Explanations for Black-box Graph Classifiers by Alan Perotti et al
02-16-2022	A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines by Alexa R. Tartaglini et al
02-15-2022	Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series by Enyan Dai et al
02-17-2022	When, where, and how to add new neurons to ANNs by Kaitlin Maile et al
02-18-2022	FinNet: Solving Time-Independent Differential Equations with Finite Difference Neural Network by Son N. T. Tu et al
02-17-2022	The Exact Class of Graph Functions Generated by Graph Neural Networks by Mohammad Fereydounian et al
02-16-2022	The learning phases in NN: From Fitting the Majority to Fitting a Few by Johannes Schneider
02-16-2022	ADD 2022: the First Audio Deep Synthesis Detection Challenge by Jiangyan Yi et al
02-16-2022	Aryl: An Elastic Cluster Scheduler for Deep Learning by Jiamin Li et al
02-15-2022	Zero-Shot Assistance in Novel Decision Problems by Sebastiaan De Peuter et al
02-15-2022	A Statistical Learning View of Simple Kriging by Emilia Siviero et al
02-16-2022	SWIM: Selective Write-Verify for Computing-in-Memory Neural Accelerators by Zheyu Yan et al
02-15-2022	CycleGAN for Undamaged-to-Damaged Domain Translation for Structural Health Monitoring and Damage Detection by Furkan Luleci et al
02-18-2022	Quantifying the Effects of Data Augmentation by Kevin H. Huang et al
02-17-2022	SAITS: Self-Attention-based Imputation for Time Series by Wenjie Du et al
02-16-2022	More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors by Huiyuan Yang et al
02-15-2022	Unsupervised Learning of Group Invariant and Equivariant Representations by Robin Winter et al
02-17-2022	On the evaluation of (meta-)solver approaches by Roberto Amadini et al
02-16-2022	GAN Estimation of Lipschitz Optimal Transport Maps by Alberto González-Sanz et al
02-15-2022	Interpretable Reinforcement Learning with Multilevel Subgoal Discovery by Alexander Demin et al
02-18-2022	Churn modeling of life insurance policies via statistical and machine learning methods -- Analysis of important features by Andreas Groll et al
02-17-2022	Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications by Kexin Ding et al
02-15-2022	Energy-Efficient Parking Analytics System using Deep Reinforcement Learning by Yoones Rezaei et al
02-16-2022	DeepTx: Deep Learning Beamforming with Channel Prediction by Janne M. J. Huttunen et al
02-18-2022	Masked prediction tasks: a parameter identifiability view by Bingbin Liu et al
02-16-2022	Measuring Unintended Memorisation of Unique Private Features in Neural Networks by John Hartley et al
02-18-2022	Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures by Matías Altamirano et al
02-15-2022	Towards Verifiable Federated Learning by Yanci Zhang et al
02-18-2022	Learning Physics-Informed Neural Networks without Stacked Back-propagation by Di He et al
02-16-2022	Out-Of-Distribution Generalization on Graphs: A Survey by Haoyang Li et al
02-18-2022	PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks by Xingjian Cao et al
02-17-2022	When, Why, and Which Pretrained GANs Are Useful? by Timofey Grigoryev et al
02-16-2022	On Learning and Enforcing Latent Assessment Models using Binary Feedback from Human Auditors Regarding Black-Box Classifiers by Mukund Telukunta et al
02-18-2022	Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction by Mingyue Tang et al
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