2022.4.25 Learning papers

04-20-2022	K-LITE: Learning Transferable Visual Models with External Knowledge by Sheng Shen et al
04-21-2022	Out-of-distribution generalization for learning quantum dynamics by Matthias C. Caro et al
04-20-2022	Improving generalization of machine learning-identified biomarkers with causal modeling: an investigation into immune receptor diagnostics by Milena Pavlović et al
04-21-2022	Simulate Time-integrated Coarse-grained Molecular Dynamics with Geometric Machine Learning by Xiang Fu et al
04-21-2022	FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis by Rongjie Huang et al
04-19-2022	On the Representation Collapse of Sparse Mixture of Experts by Zewen Chi et al
04-20-2022	Reinforcement Learning with Intrinsic Affinity for Personalized Asset Management by Charl Maree et al
04-20-2022	Accurate Molecular-Orbital-Based Machine Learning Energies via Unsupervised Clustering of Chemical Space by Lixue Cheng et al
04-19-2022	Missingness Bias in Model Debugging by Saachi Jain et al
04-19-2022	ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models by Chunyuan Li et al
04-20-2022	Simplicial Attention Networks by Christopher Wei Jin Goh et al
04-21-2022	Infographics Wizard: Flexible Infographics Authoring and Design Exploration by Anjul Tyagi et al
04-20-2022	Hessian Averaging in Stochastic Newton Methods Achieves Superlinear Convergence by Sen Na et al
04-19-2022	Scale Dependencies and Self-Similarity Through Wavelet Scattering Covariance by Rudy Morel et al
04-20-2022	OutCast: Outdoor Single-image Relighting with Cast Shadows by David Griffiths et al
04-20-2022	Effects of Graph Convolutions in Deep Networks by Aseem Baranwal et al
04-21-2022	Cross-Speaker Emotion Transfer for Low-Resource Text-to-Speech Using Non-Parallel Voice Conversion with Pitch-Shift Data Augmentation by Ryo Terashima et al
04-19-2022	Independence Testing for Bounded Degree Bayesian Network by Arnab Bhattacharyya et al
04-22-2022	Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks by Zhecan Wang et al
04-20-2022	Understanding and Preventing Capacity Loss in Reinforcement Learning by Clare Lyle et al
04-20-2022	A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond by Yisheng Xiao et al
04-20-2022	Tight Last-Iterate Convergence of the Extragradient Method for Constrained Monotone Variational Inequalities by Yang Cai et al
04-20-2022	Uncertainty-based Cross-Modal Retrieval with Probabilistic Representations by Leila Pishdad et al
04-20-2022	Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive? by Kaiqi Zhang et al
04-22-2022	Application of Federated Learning in Building a Robust COVID-19 Chest X-ray Classification Model by Amartya Bhattacharya et al
04-20-2022	Generalizing to the Future: Mitigating Entity Bias in Fake News Detection by Yongchun Zhu et al
04-19-2022	From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles Actions by Daniel Omeiza et al
04-21-2022	Detecting Topology Attacks against Graph Neural Networks by Senrong Xu et al
04-19-2022	Mono vs Multilingual BERT for Hate Speech Detection and Text Classification: A Case Study in Marathi by Abhishek Velankar et al
04-20-2022	Detecting Unintended Memorization in Language-Model-Fused ASR by W. Ronny Huang et al
04-19-2022	CodexDB: Generating Code for Processing SQL Queries using GPT-3 Codex by Immanuel Trummer
04-22-2022	MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering by Viktoriia Chekalina et al
04-21-2022	The Silent Problem -- Machine Learning Model Failure -- How to Diagnose and Fix Ailing Machine Learning Models by Michele Bennett et al
04-21-2022	NLP Based Anomaly Detection for Categorical Time Series by Matthew Horak et al
04-21-2022	Deep learning techniques for energy clustering in the CMS ECAL by Davide Valsecchi
04-20-2022	Deep transfer learning for partial differential equations under conditional shift with DeepONet by Somdatta Goswami et al
04-19-2022	Approximating Persistent Homology for Large Datasets by Yueqi Cao et al
04-22-2022	Learning for Spatial Branching: An Algorithm Selection Approach by Bissan Ghaddar et al
04-19-2022	Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe Quadruped Navigation by Yunho Kim et al
04-20-2022	Wrapped Distributions on homogeneous Riemannian manifolds by Fernando Galaz-Garcia et al
04-21-2022	Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning by Gheorghe Comanici et al
04-19-2022	Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge by Ashwani Tanwar et al
04-21-2022	Dynamical simulation via quantum machine learning with provable generalization by Joe Gibbs et al
04-20-2022	Unsupervised Ranking and Aggregation of Label Descriptions for Zero-Shot Classifiers by Angelo Basile et al
04-19-2022	Table-based Fact Verification with Self-adaptive Mixture of Experts by Yuxuan Zhou et al
04-19-2022	On The Cross-Modal Transfer from Natural Language to Code through Adapter Modules by Divyam Goel et al
04-20-2022	A Probabilistic Time-Evolving Approach to Scanpath Prediction by Daniel Martin et al
04-20-2022	fairDMS: Rapid Model Training by Data and Model Reuse by Ahsan Ali et al
04-19-2022	COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation by Jongmin Lee et al
04-20-2022	A majorization-minimization algorithm for nonnegative binary matrix factorization by Paul Magron et al
04-19-2022	Accelerating Inhibitor Discovery for Multiple SARS-CoV-2 Targets with a Single, Sequence-Guided Deep Generative Framework by Vijil Chenthamarakshan et al
04-22-2022	Emergent Communication for Understanding Human Language Evolution: Whats Missing? by Lukas Galke et al
04-21-2022	Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering by Yu-Jung Heo et al
04-19-2022	A Novel Fast Exact Subproblem Solver for Stochastic Quasi-Newton Cubic Regularized Optimization by Jarad Forristal et al
04-19-2022	CPU- and GPU-based Distributed Sampling in Dirichlet Process Mixtures for Large-scale Analysis by Or Dinari et al
04-19-2022	An improved central limit theorem and fast convergence rates for entropic transportation costs by Eustasio del Barrio et al
04-19-2022	Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning by Liang Xie et al
04-21-2022	Scalable Sensitivity and Uncertainty Analysis for Causal-Effect Estimates of Continuous-Valued Interventions by Andrew Jesson et al
04-22-2022	Learning to Scaffold: Optimizing Model Explanations for Teaching by Patrick Fernandes et al
04-22-2022	Depth Pruning with Auxiliary Networks for TinyML by Josen Daniel De Leon et al
04-22-2022	Federated Learning via Inexact ADMM by Shenglong Zhou et al
04-21-2022	Inducing Gaussian Process Networks by Alessandro Tibo et al
04-21-2022	MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering by Xinyu Ma et al
04-21-2022	The NIST CTS Speaker Recognition Challenge by Seyed Omid Sadjadi et al
04-20-2022	Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations by Qingyu Chen et al
04-22-2022	Fourier Imager Network (FIN): A deep neural network for hologram reconstruction with superior external generalization by Hanlong Chen et al
04-21-2022	Working memory inspired hierarchical video decomposition with transformative representations by Binjie Qin et al
04-22-2022	Memory Bounds for Continual Learning by Xi Chen et al
04-20-2022	Sample-Efficient Reinforcement Learning for POMDPs with Linear Function Approximations by Qi Cai et al
04-20-2022	A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection Algorithms by Maxime Alvarez et al
04-22-2022	Sparse and Dense Approaches for the Full-rank Retrieval of Responses for Dialogues by Gustavo Penha et al
04-21-2022	CNLL: A Semi-supervised Approach For Continual Noisy Label Learning by Nazmul Karim et al
04-21-2022	Automated analysis of fibrous cap in intravascular optical coherence tomography images of coronary arteries by Juhwan Lee et al
04-21-2022	TorchSparse: Efficient Point Cloud Inference Engine by Haotian Tang et al
04-19-2022	Investigation of a Data Split Strategy Involving the Time Axis in Adverse Event Prediction Using Machine Learning by Katsuhisa Morita et al
04-22-2022	On Feature Learning in Neural Networks with Global Convergence Guarantees by Zhengdao Chen et al
04-21-2022	Interpolation of Missing Swaption Volatility Data using Gibbs Sampling on Variational Autoencoders by Ivo Richert et al
04-21-2022	Ultra Marginal Feature Importance by Joseph Janssen et al
04-21-2022	Perception Visualization: Seeing Through the Eyes of a DNN by Loris Giulivi et al
04-22-2022	Adversarial Estimators by Jonas Metzger
04-20-2022	GUARD: Graph Universal Adversarial Defense by Jintang Li et al
04-21-2022	Towards Reliable Neural Generative Modeling of Detectors by Lucio Anderlini et al
04-22-2022	Taygete at SemEval-2022 Task 4: RoBERTa based models for detecting Patronising and Condescending Language by Jayant Chhillar
04-19-2022	A Score-based Geometric Model for Molecular Dynamics Simulations by Fang Wu et al
04-22-2022	EmbedTrack -- Simultaneous Cell Segmentation and Tracking Through Learning Offsets and Clustering Bandwidths by Katharina Löffler et al
04-22-2022	A piece-wise constant approximation for non-conjugate Gaussian Process models by Sarem Seitz
04-20-2022	Adversarial Scratches: Deployable Attacks to CNN Classifiers by Loris Giulivi et al
04-22-2022	E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR by W. Ronny Huang et al
04-21-2022	Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations by Jing Wu et al
04-21-2022	OCTOPUS -- optical coherence tomography plaque and stent analysis software by Juhwan Lee et al
04-21-2022	Learning Future Object Prediction with a Spatiotemporal Detection Transformer by Adam Tonderski et al
04-19-2022	Unsupervised detection of ash dieback disease (Hymenoscyphus fraxineus) using diffusion-based hyperspectral image clustering by Sam L. Polk et al
04-20-2022	A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning by Kory W. Mathewson et al
04-22-2022	Spacing Loss for Discovering Novel Categories by K J Joseph et al
04-22-2022	Modelling graph dynamics in fraud detection with Attention by Susie Xi Rao et al
04-19-2022	Multifidelity Deep Operator Networks by Amanda A. Howard et al
04-21-2022	Neural Contrastive Clustering: Fully Unsupervised Bias Reduction for Sentiment Classification by Jared Mowery
04-19-2022	Jacobian Ensembles Improve Robustness Trade-offs to Adversarial Attacks by Kenneth T. Co et al
04-21-2022	Analysis of Temporal Difference Learning: Linear System Approach by Donghwan Lee et al
04-20-2022	Estimating city-wide hourly bicycle flow using a hybrid LSTM MDN by Marcus Skyum Myhrmann et al
04-21-2022	Learning Sequential Latent Variable Models from Multimodal Time Series Data by Oliver Limoyo et al
04-20-2022	SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics by Yannis Flet-Berliac et al
04-20-2022	Memory Bounds for the Experts Problem by Vaidehi Srinivas et al
04-20-2022	Assessing Machine Learning Algorithms for Near-Real Time Bus Ridership Prediction During Extreme Weather by Francisco Rowe et al
04-21-2022	Feature anomaly detection system (FADS) for intelligent manufacturing by Anthony Garland et al
04-21-2022	Adversarial Contrastive Learning by Permuting Cluster Assignments by Muntasir Wahed et al
04-19-2022	Binary Multi Channel Morphological Neural Network by Theodore Aouad et al
04-19-2022	GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints by Patrick Zschech et al
04-19-2022	Antipatterns in Software Classification Taxonomies by Cezar Sas et al
04-21-2022	Differentially Private Learning with Margin Guarantees by Raef Bassily et al
04-19-2022	GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning by Chenxin Xu et al
04-20-2022	Clotho-AQA: A Crowdsourced Dataset for Audio Question Answering by Samuel Lipping et al
04-20-2022	SurvLatent ODE : A Neural ODE based time-to-event model with competing risks for longitudinal data improves cancer-associated Deep Vein Thrombosis (DVT) prediction by Intae Moon et al
04-20-2022	DAME: Domain Adaptation for Matching Entities by Mohamed Trabelsi et al
04-19-2022	Software Engineering Approaches for TinyML based IoT Embedded Vision: A Systematic Literature Review by Shashank Bangalore Lakshman et al
04-20-2022	Exact Formulas for Finite-Time Estimation Errors of Decentralized Temporal Difference Learning with Linear Function Approximation by Xingang Guo et al
04-20-2022	SpiderNet: Hybrid Differentiable-Evolutionary Architecture Search via Train-Free Metrics by Rob Geada et al
04-22-2022	Detecting early signs of depression in the conversational domain: The role of transfer learning in low-resource scenarios by Petr Lorenc et al
04-21-2022	SoftEdge: Regularizing Graph Classification with Random Soft Edges by Hongyu Guo et al
04-21-2022	Provably Efficient Kernelized Q-Learning by Shuang Liu et al
04-21-2022	Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation by Yongjing Hao et al
04-19-2022	Robustness Testing of Data and Knowledge Driven Anomaly Detection in Cyber-Physical Systems by Xugui Zhou et al
04-20-2022	A Data-Driven Method for Automated Data Superposition with Applications in Soft Matter Science by Kyle R. Lennon et al
04-22-2022	Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding by Leibo Liu et al
04-19-2022	Does Interference Exist When Training a Once-For-All Network? by Jordan Shipard et al
04-20-2022	Self-supervised Learning for Sonar Image Classification by Alan Preciado-Grijalva et al
04-21-2022	Learning spatiotemporal features from incomplete data for traffic flow prediction using hybrid deep neural networks by Mehdi Mehdipour Ghazi et al
04-20-2022	Gaussian mixture model on nodes of Bayesian network given maximal parental cliques by Yiran Dong Chuanhou Gao
04-19-2022	GestureLens: Visual Analysis of Gestures in Presentation Videos by Haipeng Zeng et al
04-21-2022	Physical Modeling using Recurrent Neural Networks with Fast Convolutional Layers by Julian D. Parker et al
04-21-2022	A data filling methodology for time series based on CNN and (Bi)LSTM neural networks by Kostas Tzoumpas et al
04-19-2022	Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction by Tiancheng Lin et al
04-19-2022	Who Is Missing? Characterizing the Participation of Different Demographic Groups in a Korean Nationwide Daily Conversation Corpus by Haewoon Kwak et al
04-21-2022	A Learned Index for Exact Similarity Search in Metric Spaces by Yao Tian et al
04-21-2022	Is Neuron Coverage Needed to Make Person Detection More Robust? by Svetlana Pavlitskaya et al
04-22-2022	Balancing Expert Utilization in Mixture-of-Experts Layers Embedded in CNNs by Svetlana Pavlitskaya et al

04-20-2022	Memory-Constrained Policy Optimization by Hung Le et al
04-19-2022	Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity by Nanqing Dong et al
04-20-2022	Backdooring Explainable Machine Learning by Maximilian Noppel et al
04-22-2022	TASAC: a twin-actor reinforcement learning framework with stochastic policy for batch process control by Tanuja Joshi et al
04-20-2022	A Variational Autoencoder for Heterogeneous Temporal and Longitudinal Data by Mine Öğretir et al
04-21-2022	Hybrid Cloud-Edge Collaborative Data Anomaly Detection in Industrial Sensor Networks by Tao Yang et al
04-21-2022	Merging of neural networks by Martin Pašen et al
04-21-2022	Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation by Jun Xia et al
04-22-2022	Unknown Face Presentation Attack Detection via Localised Learning of Multiple Kernels by Shervin Rahimzadeh Arashloo
04-20-2022	Federated Learning for Energy-limited Wireless Networks: A Partial Model Aggregation Approach by Zhixiong Chen et al
04-21-2022	A Top-Down Approach to Hierarchically Coherent Probabilistic Forecasting by Abhimanyu Das et al
04-22-2022	Exploring Hidden Semantics in Neural Networks with Symbolic Regression by Yuanzhen Luo et al
04-22-2022	3D pride without 2D prejudice: Bias-controlled multi-level generative models for structure-based ligand design by Lucian Chan et al
04-21-2022	The 2021 NIST Speaker Recognition Evaluation by Seyed Omid Sadjadi et al
04-21-2022	On Distribution Shift in Learning-based Bug Detectors by Jingxuan He et al
04-22-2022	FAIR4Cov: Fused Audio Instance and Representation for COVID-19 Detection by Tuan Truong et al
04-21-2022	ICDBigBird: A Contextual Embedding Model for ICD Code Classification by George Michalopoulos et al
04-22-2022	End-to-end symbolic regression with transformers by Pierre-Alexandre Kamienny et al
04-20-2022	Hephaestus: A large scale multitask dataset towards InSAR understanding by Nikolaos Ioannis Bountos et al
04-21-2022	DooDLeNet: Double DeepLab Enhanced Feature Fusion for Thermal-color Semantic Segmentation by Oriel Frigo et al
04-20-2022	Deep Reinforcement Learning for a Two-Echelon Supply Chain with Seasonal Demand by Francesco Stranieri et al
04-19-2022	When Is Partially Observable Reinforcement Learning Not Scary? by Qinghua Liu et al
04-22-2022	Federated Learning Enables Big Data for Rare Cancer Boundary Detection by Sarthak Pati et al
04-19-2022	A stochastic Stein Variational Newton method by Alex Leviyev et al
04-21-2022	Understanding the Domain Gap in LiDAR Object Detection Networks by Jasmine Richter et al
04-19-2022	EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting by Sheo Yon Jhin et al
04-21-2022	Fluctuation-based Outlier Detection by Xusheng Du et al
04-21-2022	CycleSense: Detecting Near Miss Incidents in Bicycle Traffic from Mobile Motion Sensors by Ahmet-Serdar Karakaya et al
04-20-2022	Quantity vs Quality: Investigating the Trade-Off between Sample Size and Label Reliability by Timo Bertram et al
04-20-2022	Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation by Rebecca S Stone et al
04-21-2022	MRAM-based Analog Sigmoid Function for In-memory Computing by Md Hasibul Amin et al
04-20-2022	A Reinforcement Learning-based Volt-VAR Control Dataset and Testing Environment by Yuanqi Gao et al
04-22-2022	Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs by Chen Xie et al
04-20-2022	Relevance-guided Unsupervised Discovery of Abilities with Quality-Diversity Algorithms by Luca Grillotti et al
04-20-2022	Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning by Zhiwei Xu et al
04-22-2022	A Unifying Framework for Combining Complementary Strengths of Humans and ML toward Better Predictive Decision-Making by Charvi Rastogi et al
04-22-2022	Quantum Semi-Supervised Kernel Learning by Seyran Saeedi et al
04-21-2022	Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization by Alejandro Rosales-Pérez et al
04-19-2022	Radio Galaxy Zoo: Using semi-supervised learning to leverage large unlabelled data-sets for radio galaxy classification under data-set shift by Inigo V. Slijepcevic et al
04-19-2022	Making Progress Based on False Discoveries by Roi Livni
04-20-2022	FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation by Chuhan Wu et al
04-19-2022	Efficient Progressive High Dynamic Range Image Restoration via Attention and Alignment Network by Gaocheng Yu et al
04-20-2022	Federated Learning in Multi-Center Critical Care Research: A Systematic Case Study using the eICU Database by Arash Mehrjou et al
04-22-2022	Reward Reports for Reinforcement Learning by Thomas Gilbert et al
04-20-2022	Multi-Tier Platform for Cognizing Massive Electroencephalogram by Zheng Chen et al
04-21-2022	DropMessage: Unifying Random Dropping for Graph Neural Networks by Taoran Fang et al
04-22-2022	How Sampling Impacts the Robustness of Stochastic Neural Networks by Sina Däubener et al
04-19-2022	An unsupervised approach for semantic place annotation of trajectories based on the prior probability by Junyi Cheng et al
04-19-2022	System Analysis for Responsible Design of Modern AI/ML Systems by Virginia H. Goodwin et al
04-20-2022	A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement by Matias Valdenegro-Toro et al
04-21-2022	BTranspose: Bottleneck Transformers for Human Pose Estimation with Self-Supervised Pre-Training by Kaushik Balakrishnan et al
04-21-2022	Addressing Tactic Volatility in Self-Adaptive Systems Using Evolved Recurrent Neural Networks and Uncertainty Reduction Tactics by Aizaz Ul Haq et al
04-21-2022	Gene Function Prediction with Gene Interaction Networks: A Context Graph Kernel Approach by Xin Li et al
04-21-2022	Robustness of Machine Learning Models Beyond Adversarial Attacks by Sebastian Scher et al
04-22-2022	Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention by Tong Yu et al
04-21-2022	A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms by Nil-Jana Akpinar et al
04-21-2022	Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach by Bobak Shahriari et al
04-20-2022	Improved Worst-Group Robustness via Classifier Retraining on Independent Splits by Thien Hang Nguyen et al
04-19-2022	Compressed Empirical Measures (in finite dimensions) by Steffen Grünewälder
04-21-2022	Lightweight Hybrid CNN-ELM Model for Multi-building and Multi-floor Classification by Darwin Quezada-Gaibor et al
04-22-2022	Multi-view Information Bottleneck Without Variational Approximation by Qi Zhang et al
04-21-2022	A two-level machine learning framework for predictive maintenance: comparison of learning formulations by Valentin Hamaide et al
04-20-2022	HRPose: Real-Time High-Resolution 6D Pose Estimation Network Using Knowledge Distillation by Qi Guan et al
04-20-2022	Case-Aware Adversarial Training by Mingyuan Fan et al
04-22-2022	Energy-efficient and Privacy-aware Social Distance Monitoring with Low-resolution Infrared Sensors and Adaptive Inference by Chen Xie et al
04-21-2022	Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction by Beliz Gunel et al
04-19-2022	Indiscriminate Data Poisoning Attacks on Neural Networks by Yiwei Lu et al
04-19-2022	Energy-Efficient Tree-Based EEG Artifact Detection by Thorir Mar Ingolfsson et al
04-22-2022	The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models by Cassidy Laidlaw et al
04-21-2022	Model-free Learning of Regions of Attraction via Recurrent Sets by Yue Shen et al
04-19-2022	Diverse Imagenet Models Transfer Better by Niv Nayman et al
04-20-2022	Deep subspace encoders for continuous-time state-space identification by Gerben Izaak Beintema et al
04-22-2022	Lossy compression of matrices by black-box optimisation of mixed-integer non-linear programming by Tadashi Kadowaki et al
04-22-2022	Convergence of the Riemannian Langevin Algorithm by Khashayar Gatmiry et al
04-20-2022	Causality-based Neural Network Repair by Bing Sun et al
04-22-2022	Constructing dynamic residential energy lifestyles using Latent Dirichlet Allocation by Xiao Chen et al
04-20-2022	Noise mitigation strategies in physical feedforward neural networks by Nadezhda Semenova et al
04-20-2022	FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow by Ki-Ung Song et al
04-22-2022	MNL-Bandits under Inventory and Limited Switches Constraints by Hongbin Zhang et al
04-19-2022	Ordinal-ResLogit: Interpretable Deep Residual Neural Networks for Ordered Choices by Kimia Kamal et al
04-20-2022	Search-based Methods for Multi-Cloud Configuration by Małgorzata Łazuka et al
04-19-2022	Rumor Detection with Self-supervised Learning on Texts and Social Graph by Yuan Gao et al
04-20-2022	Scalable Motif Counting for Large-scale Temporal Graphs by Zhongqiang Gao et al
04-22-2022	Log-based Sparse Nonnegative Matrix Factorization for Data Representation by Chong Peng et al
04-22-2022	Universum-inspired Supervised Contrastive Learning by Aiyang Han et al
04-19-2022	LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations by Jaehoon Lee et al
04-20-2022	Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selection by Dimitri Bouche et al
04-20-2022	Graph neural networks and attention-based CNN-LSTM for protein classification by Zhuangwei Shi
04-19-2022	A Survey and Perspective on Artificial Intelligence for Security-Aware Electronic Design Automation by David Selasi Koblah et al
04-19-2022	Imbalanced Classification via a Tabular Translation GAN by Jonathan Gradstein et al
04-20-2022	A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines by Weichao Zhou et al
04-21-2022	Staying the course: Locating equilibria of dynamical systems on Riemannian manifolds defined by point-clouds by Juan M. Bello-Rivas et al
04-20-2022	Online Caching with no Regret: Optimistic Learning via Recommendations by Naram Mhaisen et al
04-22-2022	Sharper Utility Bounds for Differentially Private Models by Yilin Kang et al
04-20-2022	Assembly Planning from Observations under Physical Constraints by Thomas Chabal et al
04-19-2022	Generating 3D Molecules for Target Protein Binding by Meng Liu et al
04-20-2022	Condition Monitoring of Transformer Bushings Using Computational Intelligence by Joshua Tshifhiwa Maumela
04-19-2022	Sintel: A Machine Learning Framework to Extract Insights from Signals by Sarah Alnegheimish et al
04-19-2022	Sampling Strategies for Static Powergrid Models by Stephan Balduin et al
04-21-2022	SCOPE: Safe Exploration for Dynamic Computer Systems Optimization by Hyunji Kim et al
04-20-2022	Predicting highway lane-changing maneuvers: A benchmark analysis of machine and ensemble learning algorithms by Basma Khelfa et al
04-19-2022	House Price Prediction Based On Deep Learning by Yuying Wu et al
04-21-2022	Global Mapping of Gene/Protein Interactions in PubMed Abstracts: A Framework and an Experiment with P53 Interactions by Xin Li et al
04-21-2022	Evolution of Transparent Explainable Rule-sets by Hormoz Shahrzad et al
04-21-2022	A Framework for Interactive Knowledge-Aided Machine Teaching by Karan Taneja et al
04-21-2022	Curriculum Learning for Goal-Oriented Semantic Communications with a Common Language by Mohammad Karimzadeh Farshbafan et al
04-20-2022	Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware by Bharath Sudharsan et al
04-20-2022	Generative De Novo Protein Design with Global Context by Cheng Tan et al
04-21-2022	Facilitating automated conversion of scientific knowledge into scientific simulation models with the Machine Assisted Generation, Calibration, and Comparison (MAGCC) Framework by Chase Cockrell et al
04-21-2022	STD: A Seasonal-Trend-Dispersion Decomposition of Time Series by Grzegorz Dudek
04-19-2022	Choosing the number of factors in factor analysis with incomplete data via a hierarchical Bayesian information criterion by Jianhua Zhao et al
04-19-2022	Identifying organizations receiving personal data in Android Apps by David Rodriguez et al
04-20-2022	Denoising of Three-Dimensional Fast Spin Echo Magnetic Resonance Images of Knee Joints using Spatial-Variant Noise-Relevant Residual Learning of Convolution Neural Network by Shutian Zhao et al
04-19-2022	Restructuring TCAD System: Teaching Traditional TCAD New Tricks by Sanghoon Myung et al