2022.5.23 Learning papers

05-18-2022	Masked Autoencoders As Spatiotemporal Learners by Christoph Feichtenhofer et al
05-19-2022	Closing the gap: Exact maximum likelihood training of generative autoencoders using invertible layers by Gianluigi Silvestri et al
05-19-2022	Gold-standard solutions to the Schr\odinger equation using deep learning: How much physics do we need? by Leon Gerard et al
05-17-2022	Need is All You Need: Homeostatic Neural Networks Adapt to Concept Shift by Kingson Man et al
05-18-2022	Price Interpretability of Prediction Markets: A Convergence Analysis by Dian Yu et al
05-19-2022	RankGen: Improving Text Generation with Large Ranking Models by Kalpesh Krishna et al
05-17-2022	Disentangling Visual Embeddings for Attributes and Objects by Nirat Saini et al
05-19-2022	Robust and Efficient Medical Imaging with Self-Supervision by Shekoofeh Azizi et al
05-17-2022	SKILL: Structured Knowledge Infusion for Large Language Models by Fedor Moiseev et al
05-20-2022	Nothing makes sense in deep learning, except in the light of evolution by Artem Kaznatcheev et al
05-18-2022	Meta-Learning Sparse Compression Networks by Jonathan Richard Schwarz et al
05-19-2022	Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks by Blake Bordelon et al
05-18-2022	Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics by Maysa M. Garcia de Macedo et al
05-18-2022	Threshold Designer Adaptation: Improved Adaptation for Designers in Co-creative Systems by Emily Halina et al
05-17-2022	Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space by Kuan Fang et al
05-20-2022	Planning with Diffusion for Flexible Behavior Synthesis by Michael Janner et al
05-20-2022	Towards Understanding Grokking: An Effective Theory of Representation Learning by Ziming Liu et al
05-19-2022	Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis by Maciej Besta et al
05-19-2022	The Impact of COVID-19 Pandemic on LGBTQ Online Communitie by Yunhao Yuan et al
05-17-2022	Learning Quantum Entanglement Distillation with Noisy Classical Communications by Hari Hara Suthan Chittoor et al
05-18-2022	LeRaC: Learning Rate Curriculum by Florinel-Alin Croitoru et al
05-17-2022	Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers by Arda Sahiner et al
05-17-2022	A graph representation of molecular ensembles for polymer property prediction by Matteo Aldeghi et al
05-19-2022	Why only Micro-F1? Class Weighting of Measures for Relation Classification by David Harbecke et al
05-19-2022	Deep Learning in Business Analytics: A Clash of Expectations and Reality by Marc Andreas Schmitt
05-20-2022	Self-Supervised Depth Estimation with Isometric-Self-Sample-Based Learning by Geonho Cha et al
05-18-2022	DDXPlus: A new Dataset for Medical Automatic Diagnosis by Arsene Fansi Tchango et al
05-17-2022	The Solvability of Interpretability Evaluation Metrics by Yilun Zhou et al
05-18-2022	Conformalized Online Learning: Online Calibration Without a Holdout Set by Shai Feldman et al
05-19-2022	Transformers as Neural Augmentors: Class Conditional Sentence Generation via Variational Bayes by M. Şafak Bilici et al
05-17-2022	Dark Solitons in Bose-Einstein Condensates: A Dataset for Many-body Physics Research by Amilson R. Fritsch et al
05-18-2022	MESH2IR: Neural Acoustic Impulse Response Generator for Complex 3D Scenes by Anton Ratnarajah et al
05-19-2022	ArabGlossBERT: Fine-Tuning BERT on Context-Gloss Pairs for WSD by Moustafa Al-Hajj et al
05-20-2022	Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors by Ravid Shwartz-Ziv et al
05-20-2022	The Fairness of Credit Scoring Models by Christophe Hurlin et al
05-17-2022	Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations by Oliver T. Unke et al
05-19-2022	Metrics of calibration for probabilistic predictions by Imanol Arrieta-Ibarra et al
05-19-2022	Disentangling Active and Passive Cosponsorship in the U.S. Congress by Giuseppe Russo et al
05-19-2022	Named Entity Recognition, Multi-Task Learning, Nested Entities, BERT, Arabic NER Corpus by Mustafa Jarrar et al
05-19-2022	Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking by Minghan Li et al
05-19-2022	Automatic Spoken Language Identification using a Time-Delay Neural Network by Benjamin Kepecs et al
05-18-2022	PreQuEL: Quality Estimation of Machine Translation Outputs in Advance by Shachar Don-Yehiya et al
05-17-2022	Sharp asymptotics on the compression of two-layer neural networks by Mohammad Hossein Amani et al
05-17-2022	Universal characteristics of deep neural network loss surfaces from random matrix theory by Nicholas P Baskerville et al
05-19-2022	Personalized Interventions for Online Moderation by Stefano Cresci et al
05-18-2022	Entity Alignment with Reliable Path Reasoning and Relation-Aware Heterogeneous Graph Transformer by Weishan Cai et al
05-17-2022	SAMU-XLSR: Semantically-Aligned Multimodal Utterance-level Cross-Lingual Speech Representation by Sameer Khurana et al
05-19-2022	Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation by Vikram Voleti et al
05-17-2022	Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks by Sunil Pai et al
05-19-2022	Differentially private Riemannian optimization by Andi Han et al
05-17-2022	All-Photonic Artificial Neural Network Processor Via Non-linear Optics by Jasvith Raj Basani et al
05-17-2022	An Evaluation Framework for Legal Document Summarization by Ankan Mullick et al
05-18-2022	Evaluation of Transfer Learning for Polish with a Text-to-Text Model by Aleksandra Chrabrowa et al
05-19-2022	Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification by Leo Schwinn et al
05-17-2022	Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility by Hoil Lee et al
05-19-2022	What Is Fairness? Implications For FairML by Ludwig Bothmann et al
05-20-2022	Lossless Acceleration for Seq2seq Generation with Aggressive Decoding by Tao Ge et al
05-18-2022	Riemannian Metric Learning via Optimal Transport by Christopher Scarvelis et al
05-20-2022	The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation? by Jean Barbier et al
05-19-2022	Why GANs are overkill for NLP by David Alvarez-Melis et al
05-17-2022	Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability by Jinwei Xing et al
05-18-2022	Slowly Changing Adversarial Bandit Algorithms are Provably Efficient for Discounted MDPs by Ian A. Kash et al
05-17-2022	Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep Neural Network, a Survey by Paul Wimmer et al
05-19-2022	Neural Network Architecture Beyond Width and Depth by Zuowei Shen et al
05-17-2022	AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications by Toshiaki Koike-Akino et al
05-17-2022	Generic and Trend-aware Curriculum Learning for Relation Extraction in Graph Neural Networks by Nidhi Vakil et al
05-19-2022	IFTT-PIN: A PIN-Entry Method Leveraging the Self-Calibration Paradigm by Jonathan Grizou
05-17-2022	DNNR: Differential Nearest Neighbors Regression by Youssef Nader et al
05-17-2022	Do Neural Networks Compress Manifolds Optimally? by Sourbh Bhadane et al
05-18-2022	Neural ODE Control for Trajectory Approximation of Continuity Equation by Karthik Elamvazhuthi et al
05-19-2022	The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization by Dmitry Kovalev et al
05-17-2022	Recovering Private Text in Federated Learning of Language Models by Samyak Gupta et al
05-18-2022	Hybrid Machine Learning Modeling of Engineering Systems -- A Probabilistic Perspective Tested on a Multiphase Flow Modeling Case Study by Timur Bikmukhametov et al
05-18-2022	Causal Inference from Small High-dimensional Datasets by Raquel Aoki et al
05-17-2022	A psychological theory of explainability by Scott Cheng-Hsin Yang et al
05-17-2022	CellTypeGraph: A New Geometric Computer Vision Benchmark by Lorenzo Cerrone et al
05-17-2022	Quantum Transfer Learning for Wi-Fi Sensing by Toshiaki Koike-Akino et al
05-19-2022	How catastrophic can catastrophic forgetting be in linear regression? by Itay Evron et al
05-18-2022	A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks by Zhipeng Huang et al
05-18-2022	TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision by Alexander Bartler et al
05-19-2022	Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome by Elliott Gordon-Rodriguez et al
05-17-2022	Measuring Alignment Bias in Neural Seq2Seq Semantic Parsers by Davide Locatelli et al
05-17-2022	Hyperparameter Optimization with Neural Network Pruning by Kangil Lee et al
05-18-2022	Customizing ML Predictions for Online Algorithms by Keerti Anand et al
05-19-2022	Bi-LSTM Scoring Based Similarity Measurement with Agglomerative Hierarchical Clustering (AHC) for Speaker Diarization by Siddharth S. Nijhawan et al
05-19-2022	Consistent Interpolating Ensembles via the Manifold-Hilbert Kernel by Yutong Wang et al
05-20-2022	Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees by Risheng Liu et al
05-18-2022	Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble by Zhengyu Yang et al
05-18-2022	Deep-learned orthogonal basis patterns for fast, noise-robust single-pixel imaging by Ritz Ann Aguilar et al
05-19-2022	Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search by Xiao Wang et al
05-17-2022	Brachial Plexus Nerve Trunk Segmentation Using Deep Learning: A Comparative Study with Doctors Manual Segmentation by Yu Wang et al
05-19-2022	Differential Privacy: What is all the noise about? by Roxana Danger
05-17-2022	Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning by Yufan Zhang et al
05-18-2022	Deep Features for CBIR with Scarce Data using Hebbian Learning by Gabriele Lagani et al
05-19-2022	k-strip: A novel segmentation algorithm in k-space for the application of skull stripping by Moritz Rempe et al
05-18-2022	Scalable Multi-view Clustering with Graph Filtering by Liang Liu et al
05-17-2022	On the Convergence of Policy in Unregularized Policy Mirror Descent by Dachao Lin et al
05-18-2022	One Explanation to Rule them All -- Ensemble Consistent Explanations by André Artelt et al
05-19-2022	Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles by Shibal Ibrahim et al
05-19-2022	Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters by Yang Xiang et al
05-18-2022	Computing the ensemble spread from deterministic weather predictions using conditional generative adversarial networks by Rüdiger Brecht et al
05-17-2022	Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems by Bryan Liu et al
05-17-2022	OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval by Tong Niu et al
05-18-2022	It Isnt Sh!tposting, Its My CAT Posting by Parthsarthi Rawat et al
05-18-2022	CARNet: A Dynamic Autoencoder for Learning Latent Dynamics in Autonomous Driving Tasks by Andrey Pak et al
05-17-2022	High-resolution landscape-scale biomass mapping using a spatiotemporal patchwork of LiDAR coverages by Lucas K. Johnson et al
05-18-2022	Maslows Hammer for Catastrophic Forgetting: Node Re-Use vs Node Activation by Sebastian Lee et al
05-19-2022	Diverse Weight Averaging for Out-of-Distribution Generalization by Alexandre Rame et al
05-19-2022	Discovering Dynamic Functional Brain Networks via Spatial and Channel-wise Attention by Yiheng Liu et al
05-18-2022	Large Neural Networks Learning from Scratch with Very Few Data and without Regularization by Christoph Linse et al
05-17-2022	A unified framework for dataset shift diagnostics by Felipe Maia Polo et al
05-19-2022	Understanding Gradient Descent on Edge of Stability in Deep Learning by Sanjeev Arora et al
05-18-2022	AI-assisted Optimization of the ECCE Tracking System at the Electron Ion Collider by C. Fanelli et al
05-18-2022	Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling by Andreas Kirsch et al
05-20-2022	Semi-self-supervised Automated ICD Coding by Hlynur D. Hlynsson et al
05-18-2022	Pluralistic Image Completion with Probabilistic Mixture-of-Experts by Xiaobo Xia et al
05-18-2022	IL-flOw: Imitation Learning from Observation using Normalizing Flows by Wei-Di Chang et al
05-17-2022	Uncertainty-based Network for Few-shot Image Classification by Minglei Yuan et al
05-18-2022	A Classification of GG-invariant Shallow Neural Networks by Devanshu Agrawal et al
05-19-2022	Machine learning applications for noisy intermediate-scale quantum computers by Brian Coyle
05-19-2022	scICML: Information-theoretic Co-clustering-based Multi-view Learning for the Integrative Analysis of Single-cell Multi-omics data by Pengcheng Zeng et al
05-18-2022	GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy by Teddy Cunningham et al
05-18-2022	Constraining the Attack Space of Machine Learning Models with Distribution Clamping Preprocessing by Ryan Feng et al
05-18-2022	Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders by Logan Stapleton et al
05-17-2022	Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting by Aoyu Liu et al
05-19-2022	Focused Adversarial Attacks by Thomas Cilloni et al
05-18-2022	A Regression Approach to Learning-Augmented Online Algorithms by Keerti Anand et al
05-20-2022	A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks by Sai Munikoti et al
05-18-2022	On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias by Itay Safran et al
05-18-2022	Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels by Marcus M. Noack et al
05-18-2022	On the efficiency of Stochastic Quasi-Newton Methods for Deep Learning by Mahsa Yousefi et al
05-17-2022	Conditional Visual Servoing for Multi-Step Tasks by Sergio Izquierdo et al
05-17-2022	blob loss: instance imbalance aware loss functions for semantic segmentation by Florian Kofler et al
05-19-2022	A Topological Approach for Semi-Supervised Learning by Adrián Inés et al

05-18-2022	Masked Autoencoders As Spatiotemporal Learners by Christoph Feichtenhofer et al
05-19-2022	Closing the gap: Exact maximum likelihood training of generative autoencoders using invertible layers by Gianluigi Silvestri et al
05-19-2022	Gold-standard solutions to the Schr\odinger equation using deep learning: How much physics do we need? by Leon Gerard et al
05-17-2022	Need is All You Need: Homeostatic Neural Networks Adapt to Concept Shift by Kingson Man et al
05-18-2022	Price Interpretability of Prediction Markets: A Convergence Analysis by Dian Yu et al
05-19-2022	RankGen: Improving Text Generation with Large Ranking Models by Kalpesh Krishna et al
05-17-2022	Disentangling Visual Embeddings for Attributes and Objects by Nirat Saini et al
05-19-2022	Robust and Efficient Medical Imaging with Self-Supervision by Shekoofeh Azizi et al
05-17-2022	SKILL: Structured Knowledge Infusion for Large Language Models by Fedor Moiseev et al
05-20-2022	Nothing makes sense in deep learning, except in the light of evolution by Artem Kaznatcheev et al
05-18-2022	Meta-Learning Sparse Compression Networks by Jonathan Richard Schwarz et al
05-19-2022	Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks by Blake Bordelon et al
05-18-2022	Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics by Maysa M. Garcia de Macedo et al
05-18-2022	Threshold Designer Adaptation: Improved Adaptation for Designers in Co-creative Systems by Emily Halina et al
05-17-2022	Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space by Kuan Fang et al
05-20-2022	Planning with Diffusion for Flexible Behavior Synthesis by Michael Janner et al
05-20-2022	Towards Understanding Grokking: An Effective Theory of Representation Learning by Ziming Liu et al
05-19-2022	Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis by Maciej Besta et al
05-19-2022	The Impact of COVID-19 Pandemic on LGBTQ Online Communitie by Yunhao Yuan et al
05-17-2022	Learning Quantum Entanglement Distillation with Noisy Classical Communications by Hari Hara Suthan Chittoor et al
05-18-2022	LeRaC: Learning Rate Curriculum by Florinel-Alin Croitoru et al
05-17-2022	Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers by Arda Sahiner et al
05-17-2022	A graph representation of molecular ensembles for polymer property prediction by Matteo Aldeghi et al
05-19-2022	Why only Micro-F1? Class Weighting of Measures for Relation Classification by David Harbecke et al
05-19-2022	Deep Learning in Business Analytics: A Clash of Expectations and Reality by Marc Andreas Schmitt
05-20-2022	Self-Supervised Depth Estimation with Isometric-Self-Sample-Based Learning by Geonho Cha et al
05-18-2022	DDXPlus: A new Dataset for Medical Automatic Diagnosis by Arsene Fansi Tchango et al
05-17-2022	The Solvability of Interpretability Evaluation Metrics by Yilun Zhou et al
05-18-2022	Conformalized Online Learning: Online Calibration Without a Holdout Set by Shai Feldman et al
05-19-2022	Transformers as Neural Augmentors: Class Conditional Sentence Generation via Variational Bayes by M. Şafak Bilici et al
05-17-2022	Dark Solitons in Bose-Einstein Condensates: A Dataset for Many-body Physics Research by Amilson R. Fritsch et al
05-18-2022	MESH2IR: Neural Acoustic Impulse Response Generator for Complex 3D Scenes by Anton Ratnarajah et al
05-19-2022	ArabGlossBERT: Fine-Tuning BERT on Context-Gloss Pairs for WSD by Moustafa Al-Hajj et al
05-20-2022	Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors by Ravid Shwartz-Ziv et al
05-20-2022	The Fairness of Credit Scoring Models by Christophe Hurlin et al
05-17-2022	Accurate Machine Learned Quantum-Mechanical Force Fields for Biomolecular Simulations by Oliver T. Unke et al
05-19-2022	Metrics of calibration for probabilistic predictions by Imanol Arrieta-Ibarra et al
05-19-2022	Disentangling Active and Passive Cosponsorship in the U.S. Congress by Giuseppe Russo et al
05-19-2022	Named Entity Recognition, Multi-Task Learning, Nested Entities, BERT, Arabic NER Corpus by Mustafa Jarrar et al
05-19-2022	Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking by Minghan Li et al
05-19-2022	Automatic Spoken Language Identification using a Time-Delay Neural Network by Benjamin Kepecs et al
05-18-2022	PreQuEL: Quality Estimation of Machine Translation Outputs in Advance by Shachar Don-Yehiya et al
05-17-2022	Sharp asymptotics on the compression of two-layer neural networks by Mohammad Hossein Amani et al
05-17-2022	Universal characteristics of deep neural network loss surfaces from random matrix theory by Nicholas P Baskerville et al
05-19-2022	Personalized Interventions for Online Moderation by Stefano Cresci et al
05-18-2022	Entity Alignment with Reliable Path Reasoning and Relation-Aware Heterogeneous Graph Transformer by Weishan Cai et al
05-17-2022	SAMU-XLSR: Semantically-Aligned Multimodal Utterance-level Cross-Lingual Speech Representation by Sameer Khurana et al
05-19-2022	Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation by Vikram Voleti et al
05-17-2022	Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks by Sunil Pai et al
05-19-2022	Differentially private Riemannian optimization by Andi Han et al
05-17-2022	All-Photonic Artificial Neural Network Processor Via Non-linear Optics by Jasvith Raj Basani et al
05-17-2022	An Evaluation Framework for Legal Document Summarization by Ankan Mullick et al
05-18-2022	Evaluation of Transfer Learning for Polish with a Text-to-Text Model by Aleksandra Chrabrowa et al
05-19-2022	Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification by Leo Schwinn et al
05-17-2022	Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility by Hoil Lee et al
05-19-2022	What Is Fairness? Implications For FairML by Ludwig Bothmann et al
05-20-2022	Lossless Acceleration for Seq2seq Generation with Aggressive Decoding by Tao Ge et al
05-18-2022	Riemannian Metric Learning via Optimal Transport by Christopher Scarvelis et al
05-20-2022	The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation? by Jean Barbier et al
05-19-2022	Why GANs are overkill for NLP by David Alvarez-Melis et al
05-17-2022	Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability by Jinwei Xing et al
05-18-2022	Slowly Changing Adversarial Bandit Algorithms are Provably Efficient for Discounted MDPs by Ian A. Kash et al
05-17-2022	Dimensionality Reduced Training by Pruning and Freezing Parts of a Deep Neural Network, a Survey by Paul Wimmer et al
05-19-2022	Neural Network Architecture Beyond Width and Depth by Zuowei Shen et al
05-17-2022	AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications by Toshiaki Koike-Akino et al
05-17-2022	Generic and Trend-aware Curriculum Learning for Relation Extraction in Graph Neural Networks by Nidhi Vakil et al
05-19-2022	IFTT-PIN: A PIN-Entry Method Leveraging the Self-Calibration Paradigm by Jonathan Grizou
05-17-2022	DNNR: Differential Nearest Neighbors Regression by Youssef Nader et al
05-17-2022	Do Neural Networks Compress Manifolds Optimally? by Sourbh Bhadane et al
05-18-2022	Neural ODE Control for Trajectory Approximation of Continuity Equation by Karthik Elamvazhuthi et al
05-19-2022	The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization by Dmitry Kovalev et al
05-17-2022	Recovering Private Text in Federated Learning of Language Models by Samyak Gupta et al
05-18-2022	Hybrid Machine Learning Modeling of Engineering Systems -- A Probabilistic Perspective Tested on a Multiphase Flow Modeling Case Study by Timur Bikmukhametov et al
05-18-2022	Causal Inference from Small High-dimensional Datasets by Raquel Aoki et al
05-17-2022	A psychological theory of explainability by Scott Cheng-Hsin Yang et al
05-17-2022	CellTypeGraph: A New Geometric Computer Vision Benchmark by Lorenzo Cerrone et al
05-17-2022	Quantum Transfer Learning for Wi-Fi Sensing by Toshiaki Koike-Akino et al
05-19-2022	How catastrophic can catastrophic forgetting be in linear regression? by Itay Evron et al
05-18-2022	A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks by Zhipeng Huang et al
05-18-2022	TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision by Alexander Bartler et al
05-19-2022	Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome by Elliott Gordon-Rodriguez et al
05-17-2022	Measuring Alignment Bias in Neural Seq2Seq Semantic Parsers by Davide Locatelli et al
05-17-2022	Hyperparameter Optimization with Neural Network Pruning by Kangil Lee et al
05-18-2022	Customizing ML Predictions for Online Algorithms by Keerti Anand et al
05-19-2022	Bi-LSTM Scoring Based Similarity Measurement with Agglomerative Hierarchical Clustering (AHC) for Speaker Diarization by Siddharth S. Nijhawan et al
05-19-2022	Consistent Interpolating Ensembles via the Manifold-Hilbert Kernel by Yutong Wang et al
05-20-2022	Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees by Risheng Liu et al
05-18-2022	Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble by Zhengyu Yang et al
05-18-2022	Deep-learned orthogonal basis patterns for fast, noise-robust single-pixel imaging by Ritz Ann Aguilar et al
05-19-2022	Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search by Xiao Wang et al
05-17-2022	Brachial Plexus Nerve Trunk Segmentation Using Deep Learning: A Comparative Study with Doctors Manual Segmentation by Yu Wang et al
05-19-2022	Differential Privacy: What is all the noise about? by Roxana Danger
05-17-2022	Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement Learning by Yufan Zhang et al
05-18-2022	Deep Features for CBIR with Scarce Data using Hebbian Learning by Gabriele Lagani et al
05-19-2022	k-strip: A novel segmentation algorithm in k-space for the application of skull stripping by Moritz Rempe et al
05-18-2022	Scalable Multi-view Clustering with Graph Filtering by Liang Liu et al
05-17-2022	On the Convergence of Policy in Unregularized Policy Mirror Descent by Dachao Lin et al
05-18-2022	One Explanation to Rule them All -- Ensemble Consistent Explanations by André Artelt et al
05-19-2022	Flexible Modeling and Multitask Learning using Differentiable Tree Ensembles by Shibal Ibrahim et al
05-19-2022	Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters by Yang Xiang et al
05-18-2022	Computing the ensemble spread from deterministic weather predictions using conditional generative adversarial networks by Rüdiger Brecht et al
05-17-2022	Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems by Bryan Liu et al
05-17-2022	OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval by Tong Niu et al
05-18-2022	It Isnt Sh!tposting, Its My CAT Posting by Parthsarthi Rawat et al
05-18-2022	CARNet: A Dynamic Autoencoder for Learning Latent Dynamics in Autonomous Driving Tasks by Andrey Pak et al
05-17-2022	High-resolution landscape-scale biomass mapping using a spatiotemporal patchwork of LiDAR coverages by Lucas K. Johnson et al
05-18-2022	Maslows Hammer for Catastrophic Forgetting: Node Re-Use vs Node Activation by Sebastian Lee et al
05-19-2022	Diverse Weight Averaging for Out-of-Distribution Generalization by Alexandre Rame et al
05-19-2022	Discovering Dynamic Functional Brain Networks via Spatial and Channel-wise Attention by Yiheng Liu et al
05-18-2022	Large Neural Networks Learning from Scratch with Very Few Data and without Regularization by Christoph Linse et al
05-17-2022	A unified framework for dataset shift diagnostics by Felipe Maia Polo et al
05-19-2022	Understanding Gradient Descent on Edge of Stability in Deep Learning by Sanjeev Arora et al
05-18-2022	AI-assisted Optimization of the ECCE Tracking System at the Electron Ion Collider by C. Fanelli et al
05-18-2022	Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling by Andreas Kirsch et al
05-20-2022	Semi-self-supervised Automated ICD Coding by Hlynur D. Hlynsson et al
05-18-2022	Pluralistic Image Completion with Probabilistic Mixture-of-Experts by Xiaobo Xia et al
05-18-2022	IL-flOw: Imitation Learning from Observation using Normalizing Flows by Wei-Di Chang et al
05-17-2022	Uncertainty-based Network for Few-shot Image Classification by Minglei Yuan et al
05-18-2022	A Classification of GG-invariant Shallow Neural Networks by Devanshu Agrawal et al
05-19-2022	Machine learning applications for noisy intermediate-scale quantum computers by Brian Coyle
05-19-2022	scICML: Information-theoretic Co-clustering-based Multi-view Learning for the Integrative Analysis of Single-cell Multi-omics data by Pengcheng Zeng et al
05-18-2022	GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy by Teddy Cunningham et al
05-18-2022	Constraining the Attack Space of Machine Learning Models with Distribution Clamping Preprocessing by Ryan Feng et al
05-18-2022	Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders by Logan Stapleton et al
05-17-2022	Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting by Aoyu Liu et al
05-19-2022	Focused Adversarial Attacks by Thomas Cilloni et al
05-18-2022	A Regression Approach to Learning-Augmented Online Algorithms by Keerti Anand et al
05-20-2022	A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks by Sai Munikoti et al
05-18-2022	On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias by Itay Safran et al
05-18-2022	Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels by Marcus M. Noack et al
05-18-2022	On the efficiency of Stochastic Quasi-Newton Methods for Deep Learning by Mahsa Yousefi et al
05-17-2022	Conditional Visual Servoing for Multi-Step Tasks by Sergio Izquierdo et al
05-17-2022	blob loss: instance imbalance aware loss functions for semantic segmentation by Florian Kofler et al
05-19-2022	A Topological Approach for Semi-Supervised Learning by Adrián Inés et al

05-20-2022	Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization by Javier Del Ser et al
05-19-2022	Action Conditioned Tactile Prediction: a case study on slip prediction by Willow Mandil et al
05-20-2022	LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation by David Ireland et al
05-19-2022	Interpolating Compressed Parameter Subspaces by Siddhartha Datta et al
05-19-2022	Towards Explanation for Unsupervised Graph-Level Representation Learning by Qinghua Zheng et al
05-20-2022	Task Relabelling for Multi-task Transfer using Successor Features by Martin Balla et al
05-18-2022	Relational representation learning with spike trains by Dominik Dold
05-17-2022	Classification as Direction Recovery: Improved Guarantees via Scale Invariance by Suhas Vijaykumar et al
05-17-2022	Frank Wolfe Meets Metric Entropy by Suhas Vijaykumar
05-19-2022	Conformal Prediction with Temporal Quantile Adjustments by Zhen Lin et al
05-19-2022	Service Delay Minimization for Federated Learning over Mobile Devices by Rui Chen et al
05-19-2022	Learning-based AC-OPF Solvers on Realistic Network and Realistic Loads by Tsun Ho Aaron Cheung et al
05-19-2022	Sparse Infinite Random Feature Latent Variable Modeling by Michael Minyi Zhang
05-19-2022	Label-invariant Augmentation for Semi-Supervised Graph Classification by Han Yue et al
05-19-2022	Graph Neural Networks Are More Powerful Than we Think by Charilaos I. Kanatsoulis et al
05-17-2022	Multibit Tries Packet Classification with Deep Reinforcement Learning by Hasibul Jamil et al
05-17-2022	Bagged Polynomial Regression and Neural Networks by Sylvia Klosin et al
05-19-2022	Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes by Changchang Yin et al
05-17-2022	Deep Neural Network Classifier for Multi-dimensional Functional Data by Shuoyang Wang et al
05-19-2022	Confident Clustering via PCA Compression Ratio and Its Application to Single-cell RNA-seq Analysis by Yingcong Li et al
05-17-2022	Multilayer Perceptron Based Stress Evolution Analysis under DC Current Stressing for Multi-segment Wires by Tianshu Hou et al
05-17-2022	KGNN: Distributed Framework for Graph Neural Knowledge Representation by Binbin Hu et al
05-20-2022	On the SDEs and Scaling Rules for Adaptive Gradient Algorithms by Sadhika Malladi et al
05-20-2022	SADAM: Stochastic Adam, A Stochastic Operator for First-Order Gradient-based Optimizer by Wei Zhang et al
05-20-2022	A Review of Safe Reinforcement Learning: Methods, Theory and Applications by Shangding Gu et al
05-19-2022	Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems by Yewen Fan et al
05-20-2022	Whats the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment by Nathan Kallus
05-18-2022	An Invariant Matching Property for Distribution Generalization under Intervened Response by Kang Du et al
05-17-2022	How do Variational Autoencoders Learn? Insights from Representational Similarity by Lisa Bonheme et al
05-17-2022	QAPPA: Quantization-Aware Power, Performance, and Area Modeling of DNN Accelerators by Ahmet Inci et al
05-20-2022	DEMAND: Deep Matrix Approximately NonlinearDecomposition to Identify Meta, Canonical, and Sub-Spatial Pattern of functional Magnetic Resonance Imaging in the Human Brain by Wei Zhang et al
05-20-2022	Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks by Agustinus Kristiadi et al
05-19-2022	Classifying Human Activities using Machine Learning and Deep Learning Techniques by Sanku Satya Uday et al
05-20-2022	Trend analysis and forecasting air pollution in Rwanda by Paterne Gahungu et al
05-20-2022	Delator: Automatic Detection of Money Laundering Evidence on Transaction Graphs via Neural Networks by Henrique S. Assumpção et al
05-17-2022	Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles by Md Ferdous Pervej et al
05-20-2022	Set-based Meta-Interpolation for Few-Task Meta-Learning by Seanie Lee et al
05-20-2022	Bayesian Active Learning with Fully Bayesian Gaussian Processes by Christoffer Riis et al
05-20-2022	RiskLoc: Localization of Multi-dimensional Root Causes by Weighted Risk by Marcus Kalander
05-20-2022	Leveraging Relational Information for Learning Weakly Disentangled Representations by Andrea Valenti et al
05-20-2022	Survey on Fair Reinforcement Learning: Theory and Practice by Pratik Gajane et al
05-19-2022	Beyond Labels: Visual Representations for Bone Marrow Cell Morphology Recognition by Shayan Fazeli et al
05-20-2022	Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens by Stefano Teso et al
05-20-2022	On Tackling Explanation Redundancy in Decision Trees by Yacine Izza et al
05-19-2022	Cross Reconstruction Transformer for Self-Supervised Time Series Representation Learning by Wenrui Zhang et al
05-20-2022	Towards efficient feature sharing in MIMO architectures by Rémy Sun et al
05-20-2022	ExMo: Explainable AI Model using Inverse Frequency Decision Rules by Pradip Mainali et al
05-19-2022	Breaking the √TT Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits by Avishek Ghosh et al
05-19-2022	Anomaly Detection for Multivariate Time Series on Large-scale Fluid Handling Plant Using Two-stage Autoencoder by Susumu Naito et al
05-20-2022	On the Prediction Instability of Graph Neural Networks by Max Klabunde et al
05-18-2022	Federated Learning: Applications, Challenges and Future Scopes by Subrato Bharati et al
05-17-2022	Function Regression using Spiking DeepONet by Adar Kahana et al
05-19-2022	On Jointly Optimizing Partial Offloading and SFC Mapping: A Cooperative Dual-agent Deep Reinforcement Learning Approach by Xinhan Wang et al
05-19-2022	CertiFair: A Framework for Certified Global Fairness of Neural Networks by Haitham Khedr et al
05-20-2022	AutoFedNLP: An efficient FedNLP framework by Dongqi Cai et al
05-19-2022	Estimation of Entropy in Constant Space with Improved Sample Complexity by Maryam Aliakbarpour et al
05-20-2022	FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels by Zhuowei Wang et al
05-17-2022	Is explainable AI a race against model complexity? by Advait Sarkar
05-20-2022	Neural Additive Models for Nowcasting by Wonkeun Jo et al
05-20-2022	Predicting electrode array impedance after one month from cochlear implantation surgery by Yousef A. Alohali et al
05-19-2022	Real Time Multi-Object Detection for Helmet Safety by Mrinal Mathur et al
05-19-2022	Estimating the frame potential of large-scale quantum circuit sampling using tensor networks up to 50 qubits by Minzhao Liu et al
05-20-2022	Self-Paced Multi-Agent Reinforcement Learning by Wenshuai Zhao et al
05-20-2022	Sigmoidally Preconditioned Off-policy Learning:a new exploration method for reinforcement learning by Xing Chen et al
05-20-2022	A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection by Bingzhe Wu et al
05-20-2022	Towards Consistency in Adversarial Classification by Laurent Meunier et al
05-20-2022	Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application by Risheng Liu et al
05-20-2022	A Fully Controllable Agent in the Path Planning using Goal-Conditioned Reinforcement Learning by GyeongTaek Lee
05-20-2022	FairNorm: Fair and Fast Graph Neural Network Training by O. Deniz Kose et al
05-17-2022	User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars by Cristian J. Vaca-Rubio et al
05-20-2022	Explanatory machine learning for sequential human teaching by Lun Ai et al
05-20-2022	Seeking entropy: complex behavior from intrinsic motivation to occupy action-state path space by Jorge Ramírez-Ruiz et al
05-20-2022	Towards biologically plausible Dreaming and Planning by Cristiano Capone et al
05-20-2022	A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models by Ehsan Mokhtarian et al
05-19-2022	Content-Context Factorized Representations for Automated Speech Recognition by David M. Chan et al
05-19-2022	Concurrent Policy Blending and System Identification for Generalized Assistive Control by Luke Bhan et al
05-20-2022	MaskGAE: Masked Graph Modeling Meets Graph Autoencoders by Jintang Li et al
05-19-2022	A Rule Search Framework for the Early Identification of Chronic Emergency Homeless Shelter Clients by Caleb John et al
05-19-2022	Time Series Anomaly Detection via Reinforcement Learning-Based Model Selection by Jiuqi Elise Zhang et al
05-19-2022	Recurrent segmentation meets block models in temporal networks by {Chamalee Wickrama Arachchi et al
05-19-2022	Deep Learning Methods for Proximal Inference via Maximum Moment Restriction by Benjamin Kompa et al
05-19-2022	Algorithms for Weak Optimal Transport with an Application to Economics by François-Pierre Paty et al
05-19-2022	Learning Interface Conditions in Domain Decomposition Solvers by Ali Taghibakhshi et al
05-19-2022	Capturing cross-session neural population variability through self-supervised identification of consistent neuron ensembles by Justin Jude et al
05-19-2022	Classification of Intra-Pulse Modulation of Radar Signals by Feature Fusion Based Convolutional Neural Networks by Fatih Cagatay Akyon et al
05-19-2022	Minimal Explanations for Neural Network Predictions by Ouns El Harzli et al