2022.1.17 Learning papers

01-12-2022	Deep Symbolic Regression for Recurrent Sequences by Stéphane d'Ascoli et al
01-11-2022	HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning by Andrey Zhmoginov et al
01-11-2022	Automated Reinforcement Learning (AutoRL): A Survey and Open Problems by Jack Parker-Holder et al
01-11-2022	An Introduction to Autoencoders by Umberto Michelucci
01-11-2022	In Defense of the Unitary Scalarization for Deep Multi-Task Learning by Vitaly Kurin et al
01-11-2022	Entropic Optimal Transport in Random Graphs by Nicolas Keriven
01-11-2022	Systematic Literature Review: Quantum Machine Learning and its applications by David Peral García et al
01-13-2022	Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? by Nenad Tomasev et al
01-11-2022	Leveraging Unlabeled Data to Predict Out-of-Distribution Performance by Saurabh Garg et al
01-13-2022	SeamlessGAN: Self-Supervised Synthesis of Tileable Texture Maps by Carlos Rodriguez-Pardo et al
01-13-2022	GradMax: Growing Neural Networks using Gradient Information by Utku Evci et al
01-13-2022	The curse of overparametrization in adversarial training: Precise analysis of robust generalization for random features regression by Hamed Hassani et al
01-12-2022	Robust Contrastive Learning against Noisy Views by Ching-Yao Chuang et al
01-14-2022	When less is more: Simplifying inputs aids neural network understanding by Robin Tibor Schirrmeister et al
01-11-2022	Multiview Transformers for Video Recognition by Shen Yan et al
01-13-2022	Towards Automated Error Analysis: Learning to Characterize Errors by Tong Gao et al
01-13-2022	Self-semantic contour adaptation for cross modality brain tumor segmentation by Xiaofeng Liu et al
01-13-2022	Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks by Yuchong Yao et al
01-11-2022	Learning to Denoise Raw Mobile UI Layouts for Improving Datasets at Scale by Gang Li et al
01-13-2022	Weakly Supervised Scene Text Detection using Deep Reinforcement Learning by Emanuel Metzenthin et al
01-11-2022	DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation by Wendi Li et al
01-12-2022	Real-Time Style Modelling of Human Locomotion via Feature-Wise Transformations and Local Motion Phases by Ian Mason et al
01-12-2022	How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation by Hejie Cui et al
01-14-2022	CommonsenseQA 2.0: Exposing the Limits of AI through Gamification by Alon Talmor et al
01-14-2022	De Rham compatible Deep Neural Networks by Marcello Longo et al
01-12-2022	Privacy-Utility Trades in Crowdsourced Signal Map Obfuscation by Jiang Zhang et al
01-12-2022	GraphVAMPNet, using graph neural networks and variational approach to markov processes for dynamical modeling of biomolecules by Mahdi Ghorbani et al
01-11-2022	Atomistic Simulations for Reactions and Spectroscopy in the Era of Machine Learning -- Quo Vadis? by M. Meuwly
01-11-2022	PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python by Baptiste Goujaud et al
01-13-2022	Data-Driven Modeling and Prediction of Non-Linearizable Dynamics via Spectral Submanifolds by Mattia Cenedese et al
01-12-2022	When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges by Qun Wang et al
01-12-2022	On the Statistical Complexity of Sample Amplification by Brian Axelrod et al
01-12-2022	Optimizing Prediction of MGMT Promoter Methylation from MRI Scans using Adversarial Learning by Sauman Das
01-12-2022	The Recurrent Reinforcement Learning Crypto Agent by Gabriel Borrageiro et al
01-14-2022	Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning by Phillip Swazinna et al
01-11-2022	Sentiment Analysis with Deep Learning Models: A Comparative Study on a Decade of Sinhala Language Facebook Data by Gihan Weeraprameshwara et al
01-14-2022	DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale by Samyam Rajbhandari et al
01-11-2022	A Feature Extraction based Model for Hate Speech Identification by Salar Mohtaj et al
01-11-2022	Captcha Attack: Turning Captchas Against Humanity by Mauro Conti et al
01-12-2022	On generalization bounds for deep networks based on loss surface implicit regularization by Masaaki Imaizumi et al
01-12-2022	Adaptive Worker Grouping For Communication-Efficient and Straggler-Tolerant Distributed SGD by Feng Zhu et al
01-13-2022	Eikonal depth: an optimal control approach to statistical depths by Martin Molina-Fructuoso et al
01-12-2022	Towards Adversarially Robust Deep Image Denoising by Hanshu Yan et al
01-12-2022	Largest Eigenvalues of the Conjugate Kernel of Single-Layered Neural Networks by Lucas Benigni et al
01-14-2022	Synthesising Electronic Health Records: Cystic Fibrosis Patient Group by Emily Muller et al
01-11-2022	The Turing Trap: The Promise & Peril of Human-Like Artificial Intelligence by Erik Brynjolfsson
01-11-2022	Dynamic Price of Parking Service based on Deep Learning by Alejandro Luque-Cerpa et al
01-12-2022	Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning by Baicen Xiao et al
01-11-2022	Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics by Chunheng Jiang et al
01-13-2022	Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models by Yixin Wang et al
01-13-2022	Consistent Approximations in Composite Optimization by Johannes O. Royset
01-11-2022	Dynamical Audio-Visual Navigation: Catching Unheard Moving Sound Sources in Unmapped 3D Environments by Abdelrahman Younes
01-12-2022	Planning in Observable POMDPs in Quasipolynomial Time by Noah Golowich et al
01-13-2022	Recursive Least Squares for Training and Pruning Convolutional Neural Networks by Tianzong Yu et al
01-11-2022	Learning what to remember by Robi Bhattacharjee et al
01-13-2022	Non-Stationary Representation Learning in Sequential Linear Bandits by Yuzhen Qin et al
01-11-2022	Classification of Beer Bottles using Object Detection and Transfer Learning by Philipp Hohlfeld et al
01-12-2022	SLISEMAP: Explainable Dimensionality Reduction by Anton Björklund et al
01-13-2022	Solving Dynamic Graph Problems with Multi-Attention Deep Reinforcement Learning by Udesh Gunarathna et al
01-13-2022	Hyperparameter Importance for Machine Learning Algorithms by Honghe Jin
01-13-2022	Automatic Sparse Connectivity Learning for Neural Networks by Zhimin Tang et al
01-14-2022	SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems by Tingwei Meng et al
01-13-2022	Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and Clustering by Mohammed Oualid Attaoui et al
01-13-2022	Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation by Michele Mancusi et al
01-12-2022	Adversarially Robust Classification by Conditional Generative Model Inversion by Mitra Alirezaei et al
01-11-2022	Two Wrongs Can Make a Right: A Transfer Learning Approach for Chemical Discovery with Chemical Accuracy by Chenru Duan et al
01-12-2022	Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network by Batool Salehi et al
01-11-2022	Turkish Sentiment Analysis Using Machine Learning Methods: Application on Online Food Order Site Reviews by Özlem Aktaş et al
01-14-2022	Unsupervised Temporal Video Grounding with Deep Semantic Clustering by Daizong Liu et al
01-12-2022	Eigenvalue Distribution of Large Random Matrices Arising in Deep Neural Networks: Orthogonal Case by Leonid Pastur
01-11-2022	Stock Movement Prediction Based on Bi-typed and Hybrid-relational Market Knowledge Graph via Dual Attention Networks by Yu Zhao et al
01-12-2022	Predicting Alzheimers Disease Using 3DMgNet by Yelu Gao et al
01-11-2022	Fighting Money Laundering with Statistics and Machine Learning: An Introduction and Review by Rasmus Jensen et al
01-11-2022	Feature Extraction Framework based on Contrastive Learning with Adaptive Positive and Negative Samples by Hongjie Zhang
01-13-2022	A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery by Md Ashad Alam et al
01-12-2022	Detection of brain tumors using machine learning algorithms by Horacio Corral et al
01-13-2022	Criticality-Based Varying Step-Number Algorithm for Reinforcement Learning by Yitzhak Spielberg et al
01-12-2022	Intra-domain and cross-domain transfer learning for time series data -- How transferable are the features? by Erik Otović et al
01-13-2022	Automated Reinforcement Learning: An Overview by Reza Refaei Afshar et al
01-12-2022	Multi-echelon Supply Chains with Uncertain Seasonal Demands and Lead Times Using Deep Reinforcement Learning by Julio César Alves et al
01-11-2022	Deep clustering with fusion autoencoder by Shuai Chang
01-13-2022	Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning by Jialiang Han et al
01-12-2022	A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19 by Bingshu Wang et al
01-14-2022	A Kernel-Expanded Stochastic Neural Network by Yan Sun et al
01-14-2022	A New Deep Hybrid Boosted and Ensemble Learning-based Brain Tumor Analysis using MRI by Mirza Mumtaz Zahoor et al
01-14-2022	Deep Learning for Agile Effort Estimation Have We Solved the Problem Yet? by Vali Tawosi et al
01-12-2022	Generative time series models using Neural ODE in Variational Autoencoders by M. L. Garsdal et al
01-12-2022	ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation by Muhammad Asad et al
01-13-2022	Neural Koopman Lyapunov Control by Vrushabh Zinage et al
01-11-2022	Image quality measurements and denoising using Fourier Ring Correlations by J. Kaczmar-Michalska et al
01-14-2022	AWSnet: An Auto-weighted Supervision Attention Network for Myocardial Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance Images by Kai-Ni Wang et al
01-12-2022	Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery by Xiaoqi Wang et al
01-13-2022	Parallel Neural Local Lossless Compression by Mingtian Zhang et al
01-12-2022	A Non-Classical Parameterization for Density Estimation Using Sample Moments by Guangyu Wu et al
01-13-2022	Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders by Joseph Bakarji et al
01-12-2022	Certifiable Robustness for Nearest Neighbor Classifiers by Austen Z. Fan et al
01-12-2022	On Sampling Collaborative Filtering Datasets by Noveen Sachdeva et al
01-13-2022	Multi-task longitudinal forecasting with missing values on Alzheimers Disease by Carlos Sevilla-Salcedo et al
01-13-2022	Functional Anomaly Detection: a Benchmark Study by Guillaume Staerman et al
01-13-2022	Flood Prediction and Analysis on the Relevance of Features using Explainable Artificial Intelligence by Sai Prasanth Kadiyala et al
01-13-2022	Generalized Kernel Ridge Regression for Long Term Causal Inference: Treatment Effects, Dose Responses, and Counterfactual Distributions by Rahul Singh
01-11-2022	On the Efficacy of Co-Attention Transformer Layers in Visual Question Answering by Ankur Sikarwar et al
01-11-2022	DANNTe: a case study of a turbo-machinery sensor virtualization under domain shift by Luca Strazzera et al
01-13-2022	Evaluation of Four Black-box Adversarial Attacks and Some Query-efficient Improvement Analysis by Rui Wang
01-12-2022	Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks by Benjamin Bowman et al
01-11-2022	Spectrum Surveying: Active Radio Map Estimation with Autonomous UAVs by Raju Shrestha et al
01-11-2022	Optimally compressing VC classes by Zachary Chase
01-13-2022	Real-Time GPU-Accelerated Machine Learning Based Multiuser Detection for 5G and Beyond by Matthias Mehlhose et al
01-12-2022	Exact learning and test theory by Mikhail Moshkov
01-14-2022	Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones? by Lena Schmid et al
01-12-2022	An Overview of Uncertainty Quantification Methods for Infinite Neural Networks by Florian Juengermann et al
01-13-2022	Active Learning-Based Multistage Sequential Decision-Making Model with Application on Common Bile Duct Stone Evaluation by Hongzhen Tian et al
01-11-2022	End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization by Niclas Vödisch et al
01-11-2022	SmartDet: Context-Aware Dynamic Control of Edge Task Offloading for Mobile Object Detection by Davide Callegaro et al
01-12-2022	Dyna-T: Dyna-Q and Upper Confidence Bounds Applied to Trees by Tarek Faycal et al
01-14-2022	Reinforcement Learning to Solve NP-hard Problems: an Application to the CVRP by Leo Ardon
01-12-2022	Recursive Least Squares Policy Control with Echo State Network by Chunyuan Zhang et al
01-14-2022	The Implicit Regularization of Momentum Gradient Descent with Early Stopping by Li Wang et al
01-13-2022	Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection by Lan Wang et al
01-14-2022	IDEA: Interpretable Dynamic Ensemble Architecture for Time Series Prediction by Mengyue Zha et al
01-12-2022	Blackbox Post-Processing for Multiclass Fairness by Preston Putzel et al
01-12-2022	De-Noising of Photoacoustic Microscopy Images by Deep Learning by Da He et al
01-13-2022	Learning Enhancement of CNNs via Separation Index Maximizing at the First Convolutional Layer by Ali Karimi et al
01-14-2022	Security Orchestration, Automation, and Response Engine for Deployment of Behavioural Honeypots by Upendra Bartwal et al
01-11-2022	Learning Robust Policies for Generalized Debris Capture with an Automated Tether-Net System by Chen Zeng et al
01-13-2022	Manifoldron: Direct Space Partition via Manifold Discovery by Dayang Wang et al
01-13-2022	Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP) by Hendrik F. R. Schmidt et al
01-13-2022	Direct Mutation and Crossover in Genetic Algorithms Applied to Reinforcement Learning Tasks by Tarek Faycal et al
01-14-2022	HYLDA: End-to-end Hybrid Learning Domain Adaptation for LiDAR Semantic Segmentation by Eduardo R. Corral-Soto et al
01-12-2022	Privacy Amplification by Subsampling in Time Domain by Tatsuki Koga et al
01-13-2022	Reproducible, incremental representation learning with Rosetta VAE by Miles Martinez et al
01-13-2022	An adaptable cognitive microcontroller node for fitness activity recognition by Matteo Antonio Scrugli et al
01-12-2022	Careful! Training Relevance is Real by Chenbo Shi et al
01-12-2022	Detecting Ransomware Execution in a Timely Manner by Anthony Melaragno et al
01-12-2022	Fine-grained Graph Learning for Multi-view Subspace Clustering by Yidi Wang et al
01-13-2022	Reconstructing Training Data with Informed Adversaries by Borja Balle et al

01-12-2022	Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents by Junseok Park et al
01-11-2022	Predicting Terrorist Attacks in the United States using Localized News Data by Steven J. Krieg et al
01-13-2022	Improved Multi-objective Data Stream Clustering with Time and Memory Optimization by Mohammed Oualid Attaoui et al
01-12-2022	Local2Global: A distributed approach for scaling representation learning on graphs by Lucas G. S. Jeub et al
01-11-2022	Partial Model Averaging in Federated Learning: Performance Guarantees and Benefits by Sunwoo Lee et al
01-11-2022	Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks by Jesus Bujalance Martin et al
01-12-2022	Optimal Fixed-Budget Best Arm Identification using the Augmented Inverse Probability Estimator in Two-Armed Gaussian Bandits with Unknown Variances by Masahiro Kato et al
01-12-2022	Smoothness and continuity of cost functionals for ECG mismatch computation by Thomas Grandits et al
01-11-2022	Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019 by Zhengying Liu et al
01-14-2022	Artificial Intelligence in Software Testing : Impact, Problems, Challenges and Prospect by Zubair Khaliq et al
01-14-2022	Probabilistic Mass Mapping with Neural Score Estimation by Benjamin Remy et al
01-14-2022	Reinforcement Learning in Time-Varying Systems: an Empirical Study by Pouya Hamadanian et al
01-12-2022	Learning to Identify Top Elo Ratings: A Dueling Bandits Approach by Xue Yan et al
01-12-2022	Preventing Manifold Intrusion with Locality: Local Mixup by Raphael Baena et al
01-11-2022	Data transformation based optimized customer churn prediction model for the telecommunication industry by Joydeb Kumar Sana et al
01-11-2022	Application of Common Spatial Patterns in Gravitational Waves Detection by Damodar Dahal
01-12-2022	An Efficient and Adaptive Granular-ball Generation Method in Classification Problem by Shuyin Xia et al
01-13-2022	Examining and Mitigating the Impact of Crossbar Non-idealities for Accurate Implementation of Sparse Deep Neural Networks by Abhiroop Bhattacharjee et al
01-11-2022	Multi-granularity Relabeled Under-sampling Algorithm for Imbalanced Data by Qi Dai et al
01-14-2022	Reusing Auto-Schedules for Efficient DNN Compilation by Perry Gibson et al
01-11-2022	Active Reinforcement Learning -- A Roadmap Towards Curious Classifier Systems for Self-Adaptation by Simon Reichhuber et al
01-13-2022	REST: Debiased Social Recommendation via Reconstructing Exposure Strategies by Ruichu Cai et al
01-13-2022	Making a (Counterfactual) Difference One Rationale at a Time by Mitchell Plyler et al
01-13-2022	Neural Circuit Architectural Priors for Embodied Control by Nikhil X. Bhattasali et al
01-13-2022	Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting by Ling Chen et al
01-13-2022	DapStep: Deep Assignee Prediction for Stack Trace Error rePresentation by Denis Sushentsev et al
01-11-2022	Evolutionary Action Selection for Gradient-based Policy Learning by Yan Ma et al
01-12-2022	On neural network kernels and the storage capacity problem by Jacob A. Zavatone-Veth et al
01-13-2022	Structure Enhanced Graph Neural Networks for Link Prediction by Baole Ai et al
01-13-2022	A Geometric Approach to kk-means by Jiazhen Hong et al
01-12-2022	RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems by Zohreh Ovaisi et al
01-13-2022	Improving VAE based molecular representations for compound property prediction by A. Tevosyan et al
01-11-2022	Bootstrapping Informative Graph Augmentation via A Meta Learning Approach by Hang Gao et al
01-13-2022	`Next Generation Reservoir Computing: an Empirical Data-Driven Expression of Dynamical Equations in Time-Stepping Form by Tse-Chun Chen et al
01-14-2022	Decentralized Robot Learning for Personalization and Privacy by Luke Guerdan et al
01-14-2022	Estimating Gaussian Copulas with Missing Data by Maximilian Kertel et al
01-11-2022	On the Design of Graph Embeddings for the Sensorless Estimation of Road Traffic Profiles by Eric L. Manibardo et al
01-13-2022	Contextual Bandits for Advertising Campaigns: A Diffusion-Model Independent Approach (Extended Version) by Alexandra Iacob et al
01-14-2022	StAnD: A Dataset of Linear Static Analysis Problems by Luca Grementieri et al
01-12-2022	Proceedings of the 4th Workshop on Online Recommender Systems and User Modeling -- ORSUM 2021 by João Vinagre et al
01-13-2022	Decompositional Quantum Graph Neural Network by Xing Ai et al
01-14-2022	Machine Learning of polymer types from the spectral signature of Raman spectroscopy microplastics data by Sheela Ramanna et al
01-13-2022	How I learned to stop worrying and love the curse of dimensionality: an appraisal of cluster validation in high-dimensional spaces by Brian A. Powell
01-14-2022	A causal model of safety assurance for machine learning by Simon Burton
01-13-2022	Jamming Attacks on Federated Learning in Wireless Networks by Yi Shi et al
01-13-2022	Towards a Data Privacy-Predictive Performance Trade-off by Tânia Carvalho et al
01-14-2022	Training Free Graph Neural Networks for Graph Matching by Zhiyuan Liu et al
01-13-2022	Adaptive Transfer Learning for Plant Phenotyping by Jun Wu et al
01-14-2022	Waveform Learning for Reduced Out-of-Band Emissions Under a Nonlinear Power Amplifier by Dani Korpi et al
01-14-2022	Contrastive Laplacian Eigenmaps by Hao Zhu et al
01-13-2022	The Fairness Field Guide: Perspectives from Social and Formal Sciences by Alycia N. Carey et al
01-11-2022	Path differentiability of ODE flows by Swann Marx et al
01-11-2022	Dictionary Learning with Uniform Sparse Representations for Anomaly Detection by Paul Irofti et al
01-11-2022	State Estimation in Electric Power Systems Leveraging Graph Neural Networks by Ognjen Kundacina et al
01-14-2022	Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction by Mostafa Shabani et al
01-14-2022	Compact Graph Structure Learning via Mutual Information Compression by Nian Liu et al
01-13-2022	Domain-shift adaptation via linear transformations by Roberto Vega et al
01-14-2022	Precise Stock Price Prediction for Robust Portfolio Design from Selected Sectors of the Indian Stock Market by Jaydip Sen et al
01-13-2022	Assemble Foundation Models for Automatic Code Summarization by Jian Gu et al
01-13-2022	A Method for Controlling Extrapolation when Visualizing and Optimizing the Prediction Profiles of Statistical and Machine Learning Models by Jeremy Ash et al
01-11-2022	Adherence Forecasting for Guided Internet-Delivered Cognitive Behavioral Therapy: A Minimally Data-Sensitive Approach by Ulysse Côté-Allard et al
01-14-2022	Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma by Yiran Wei et al
01-12-2022	Fast and accurate waveform modeling of long-haul multi-channel optical fiber transmission using a hybrid model-data driven scheme by Hang Yang et al
01-11-2022	Study of Frequency domain exponential functional link network filters by T. Yu et al