2022.1.10 Learning papers

01-06-2022	Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets by Alethea Power et al
01-04-2022	A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End Inference of Real-World Deep Neural Networks by Angelo Garofalo et al
01-05-2022	Robust Self-Supervised Audio-Visual Speech Recognition by Bowen Shi et al
01-07-2022	Generalized Category Discovery by Sagar Vaze et al
01-06-2022	A Light in the Dark: Deep Learning Practices for Industrial Computer Vision by Maximilian Harl et al
01-04-2022	Quantifying Uncertainty in Deep Learning Approaches to Radio Galaxy Classification by Devina Mohan et al
01-04-2022	Mining Adverse Drug Reactions from Unstructured Mediums at Scale by Hasham Ul Haq et al
01-04-2022	Learning Operators with Coupled Attention by Georgios Kissas et al
01-05-2022	A Hybrid Quantum-Classical Neural Network Architecture for Binary Classification by Davis Arthur et al
01-04-2022	Corrupting Data to Remove Deceptive Perturbation: Using Preprocessing Method to Improve System Robustness by Hieu Le et al
01-06-2022	Forming Predictive Features of Tweets for Decision-Making Support by Bohdan M. Pavlyshenko
01-05-2022	Relationship extraction for knowledge graph creation from biomedical literature by Nikola Milosevic et al
01-04-2022	The CAMELS project: public data release by Francisco Villaescusa-Navarro et al
01-06-2022	Machine Learning: Algorithms, Models, and Applications by Jaydip Sen et al
01-05-2022	Frame Shift Prediction by Zheng-Xin Yong et al
01-05-2022	Combining Reinforcement Learning and Inverse Reinforcement Learning for Asset Allocation Recommendations by Igor Halperin et al
01-06-2022	Bayesian Regression Approach for Building and Stacking Predictive Models in Time Series Analytics by Bohdan M. Pavlyshenko
01-05-2022	CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs by Shvetank Prakash et al
01-06-2022	An exploratory experiment on Hindi, Bengali hate-speech detection and transfer learning using neural networks by Tung Minh Phung et al
01-05-2022	Does entity abstraction help generative Transformers reason? by Nicolas Gontier et al
01-05-2022	DeepMLS: Geometry-Aware Control Point Deformation by Meitar Shechter et al
01-05-2022	Convergence and Complexity of Stochastic Block Majorization-Minimization by Hanbaek Lyu
01-05-2022	Contrastive Neighborhood Alignment by Pengkai Zhu et al
01-06-2022	Sales Time Series Analytics Using Deep Q-Learning by Bohdan M. Pavlyshenko
01-05-2022	Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning by Xudong Wang et al
01-06-2022	A note on efficient minimum cost adjustment sets in causal graphical models by Ezequiel Smucler et al
01-05-2022	Formal Analysis of Art: Proxy Learning of Visual Concepts from Style Through Language Models by Diana Kim et al
01-06-2022	The dynamics of representation learning in shallow, non-linear autoencoders by Maria Refinetti et al
01-04-2022	Deep Learning-Based Sparse Whole-Slide Image Analysis for the Diagnosis of Gastric Intestinal Metaplasia by Jon Braatz et al
01-06-2022	Stochastic Saddle Point Problems with Decision-Dependent Distributions by Killian Wood et al
01-04-2022	ZeroBERTo -- Leveraging Zero-Shot Text Classification by Topic Modeling by Alexandre Alcoforado et al
01-07-2022	Similarities and Differences between Machine Learning and Traditional Advanced Statistical Modeling in Healthcare Analytics by Michele Bennett et al
01-07-2022	Machine-learning-based arc selection for constrained shortest path problems in column generation by Mouad Morabit et al
01-07-2022	Audio representations for deep learning in sound synthesis: A review by Anastasia Natsiou et al
01-06-2022	An Abstraction-Refinement Approach to Verifying Convolutional Neural Networks by Matan Ostrovsky et al
01-05-2022	Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria by Kavya Kopparapu et al
01-05-2022	Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers by Wenju Sun et al
01-05-2022	Challenges of Artificial Intelligence -- From Machine Learning and Computer Vision to Emotional Intelligence by Matti Pietikäinen et al
01-07-2022	Applications of Signature Methods to Market Anomaly Detection by Erdinc Akyildirim et al
01-04-2022	FROTE: Feedback Rule-Driven Oversampling for Editing Models by Öznur Alkan et al
01-04-2022	Augmenting astrophysical scaling relations with machine learning : application to reducing the SZ flux-mass scatter by Digvijay Wadekar et al
01-06-2022	Federated Optimization of Smooth Loss Functions by Ali Jadbabaie et al
01-05-2022	Gaussian Imagination in Bandit Learning by Yueyang Liu et al
01-06-2022	Multi-Label Classification on Remote-Sensing Images by Aditya Kumar Singh et al
01-05-2022	Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation by Kowshik Thopalli et al
01-07-2022	Negative Evidence Matters in Interpretable Histology Image Classification by Soufiane Belharbi et al
01-05-2022	POCO: Point Convolution for Surface Reconstruction by Alexandre Boulch et al
01-05-2022	CausalSim: Toward a Causal Data-Driven Simulator for Network Protocols by Abdullah Alomar et al
01-06-2022	Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting by Omid Orang et al
01-06-2022	Deep Learning Based Classification System For Recognizing Local Spinach by Mirajul Islam et al
01-04-2022	Balsa: Learning a Query Optimizer Without Expert Demonstrations by Zongheng Yang et al
01-05-2022	Machine-Learning the Classification of Spacetimes by Yang-Hui He et al
01-05-2022	Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statisticians Perspective by Robert Bamler
01-04-2022	The cluster structure function by Andrew R. Cohen et al
01-05-2022	SABLAS: Learning Safe Control for Black-box Dynamical Systems by Zengyi Qin et al
01-04-2022	Predicting Influenza A Viral Host Using PSSM and Word Embeddings by Yanhua Xu et al
01-04-2022	Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources by Yongchun Zhu et al
01-07-2022	Bayesian Neural Networks for Reversible Steganography by Ching-Chun Chang
01-07-2022	Explainable deep learning for insights in El Nino and river flows by Yumin Liu et al
01-06-2022	Efficiently Disentangle Causal Representations by Yuanpeng Li et al
01-04-2022	Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy by Alex Berke et al
01-05-2022	Mixture of basis for interpretable continual learning with distribution shifts by Mengda Xu et al
01-04-2022	Self-Supervised Approach to Addressing Zero-Shot Learning Problem by Ademola Okerinde et al
01-06-2022	A deep learning-based model reduction (DeePMR) method for simplifying chemical kinetics by Zhiwei Wang et al
01-06-2022	Generalized quantum similarity learning by Santosh Kumar Radha et al
01-04-2022	Sparse Super-Regular Networks by Andrew W. E. McDonald et al
01-05-2022	Standard Vs Uniform Binary Search and Their Variants in Learned Static Indexing: The Case of the Searching on Sorted Data Benchmarking Software Platform by Domenico Amato et al
01-06-2022	Treehouse: A Case For Carbon-Aware Datacenter Software by Thomas Anderson et al
01-06-2022	GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks by Ping Li et al
01-04-2022	Multi-Representation Adaptation Network for Cross-domain Image Classification by Yongchun Zhu et al
01-06-2022	Bayesian Online Change Point Detection for Baseline Shifts by Ginga Yoshizawa
01-04-2022	Learning to Generate Novel Classes for Deep Metric Learning by Kyungmoon Lee et al
01-05-2022	The Effect of Model Compression on Fairness in Facial Expression Recognition by Samuil Stoychev et al
01-05-2022	Formant Tracking Using Quasi-Closed Phase Forward-Backward Linear Prediction Analysis and Deep Neural Networks by Dhananjaya Gowda et al
01-06-2022	Budget-aware Few-shot Learning via Graph Convolutional Network by Shipeng Yan et al
01-05-2022	A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions by Anthony GX-Chen et al
01-07-2022	On robust risk-based active-learning algorithms for enhanced decision support by Aidan J. Hughes et al
01-06-2022	Deep Learning Assisted End-to-End Synthesis of mm-Wave Passive Networks with 3D EM Structures: A Study on A Transformer-Based Matching Network by Siawpeng Er et al
01-04-2022	Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images by Ali Hatamizadeh et al
01-05-2022	ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints by Amira Guesmi et al
01-04-2022	Problem-dependent attention and effort in neural networks with an application to image resolution by Chris Rohlfs
01-04-2022	Latent Vector Expansion using Autoencoder for Anomaly Detection by UJu Gim et al
01-05-2022	Sign Language Recognition System using TensorFlow Object Detection API by Sharvani Srivastava et al
01-05-2022	Automated Scoring of Graphical Open-Ended Responses Using Artificial Neural Networks by Matthias von Davier et al
01-04-2022	Linear Variational State Space Filtering by Daniel Pfrommer et al
01-05-2022	Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation by Vincent Mai et al
01-05-2022	Regret Lower Bounds for Learning Linear Quadratic Gaussian Systems by Ingvar Ziemann et al
01-06-2022	Robust Linear Predictions: Analyses of Uniform Concentration, Fast Rates and Model Misspecification by Saptarshi Chakraborty et al
01-04-2022	Evolutionary Multitasking AUC Optimization by Chao Wang et al
01-06-2022	Balancing Generalization and Specialization in Zero-shot Learning by Yun Li et al
01-06-2022	A Theoretical Framework of Almost Hyperparameter-free Hyperparameter Selection Methods for Offline Policy Evaluation by Kohei Miyaguchi
01-06-2022	Learning Multi-Tasks with Inconsistent Labels by using Auxiliary Big Task by Quan Feng et al
01-05-2022	Planted Dense Subgraphs in Dense Random Graphs Can Be Recovered using Graph-based Machine Learning by Itay Levinas et al
01-04-2022	Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification by Yan Pang et al
01-07-2022	Optimality in Noisy Importance Sampling by Fernando Llorente et al
01-04-2022	Modeling Users Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection by Yongchun Zhu et al
01-05-2022	Adaptive Online Incremental Learning for Evolving Data Streams by Si-si Zhang et al
01-04-2022	Offsetting Unequal Competition through RL-assisted Incentive Schemes by Paramita Koley et al
01-04-2022	Synthesizing Tensor Transformations for Visual Self-attention by Xian Wei et al
01-07-2022	AugmentedPCA: A Python Package of Supervised and Adversarial Linear Factor Models by William E. Carson et al
01-07-2022	Spatial-Temporal Sequential Hypergraph Network for Crime Prediction by Lianghao Xia et al
01-05-2022	Asymptotics of ℓ2ℓ2 Regularized Network Embeddings by Andrew Davison
01-04-2022	3DVSR: 3D EPI Volume-based Approach for Angular and Spatial Light field Image Super-resolution by Trung-Hieu Tran et al
01-06-2022	Sparsity-based Feature Selection for Anomalous Subgroup Discovery by Girmaw Abebe Tadesse et al
01-04-2022	Efficient Quantum Feature Extraction for CNN-based Learning by Tong Dou et al
01-06-2022	Nonlocal Kernel Network (NKN): a Stable and Resolution-Independent Deep Neural Network by Huaiqian You et al
01-04-2022	Transfer Learning for Retinal Vascular Disease Detection: A Pilot Study with Diabetic Retinopathy and Retinopathy of Prematurity by Guan Wang et al
01-05-2022	Dynamic GPU Energy Optimization for Machine Learning Training Workloads by Farui Wang et al

01-06-2022	Skip Vectors for RDF Data: Extraction Based on the Complexity of Feature Patterns by Yota Minami et al
01-06-2022	Large-scale protein-protein post-translational modification extraction with distant supervision and confidence calibrated BioBERT by Aparna Elangovan et al
01-04-2022	Supervised Homogeneity Fusion: a Combinatorial Approach by Wen Wang et al
01-07-2022	k-Center Clustering with Outliers in Sliding Windows by Paolo Pellizzoni et al
01-06-2022	Admissible Policy Teaching through Reward Design by Kiarash Banihashem et al
01-07-2022	Churn prediction in online gambling by Florian Merchie et al
01-04-2022	Conditional Imitation Learning for Multi-Agent Games by Andy Shih et al
01-05-2022	Probing TryOnGAN by Saurabh Kumar et al
01-05-2022	Supervised Permutation Invariant Networks for Solving the CVRP with Bounded Fleet Size by Daniela Thyssens et al
01-04-2022	Graph Neural Networks for Double-Strand DNA Breaks Prediction by XU Wang et al
01-04-2022	FCNN: Five-point stencil CNN for solving reaction-diffusion equations by Yongho Kim et al
01-06-2022	Topological Representations of Local Explanations by Peter Xenopoulos et al
01-04-2022	McXai: Local model-agnostic explanation as two games by Yiran Huang et al
01-07-2022	Forecasting emissions through Kaya identity using Neural Ordinary Differential Equations by Pierre Browne et al
01-07-2022	Offline Reinforcement Learning for Road Traffic Control by Mayuresh Kunjir et al
01-05-2022	GLAN: A Graph-based Linear Assignment Network by He Liu et al
01-07-2022	Mirror Learning: A Unifying Framework of Policy Optimisation by Jakub Grudzien Kuba et al
01-06-2022	Deep Causal Reasoning for Recommendations by Yaochen Zhu et al
01-04-2022	Learning Differentiable Safety-Critical Control using Control Barrier Functions for Generalization to Novel Environments by Hengbo Ma et al
01-05-2022	Bridging Adversarial and Nonstationary Multi-armed Bandit by Ningyuan Chen et al
01-05-2022	NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting by Linyi Yang et al
01-05-2022	Neural Architecture Search for Inversion by Cheng Zhan et al
01-07-2022	iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection by Ramneet Kaur et al
01-07-2022	Leveraging Scale-Invariance and Uncertainity with Self-Supervised Domain Adaptation for Semantic Segmentation of Foggy Scenes by Javed Iqbal et al
01-04-2022	COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study by Ting Dang et al
01-04-2022	Test and Evaluation of Quadrupedal Walking Gaits through Sim2Real Gap Quantification by Prithvi Akella et al
01-04-2022	AutoBalance: Optimized Loss Functions for Imbalanced Data by Mingchen Li et al
01-06-2022	Efficient Global Optimization of Two-layer ReLU Networks: Quadratic-time Algorithms and Adversarial Training by Yatong Bai et al
01-06-2022	Uncertainty Quantification Techniques for Space Weather Modeling: Thermospheric Density Application by Richard J. Licata et al
01-06-2022	Time Series Forecasting Using Fuzzy Cognitive Maps: A Survey by Omid Orang et al
01-04-2022	CEMENT: Incomplete Multi-View Weak-Label Learning with Long-Tailed Labels by Zhiwei Li et al
01-06-2022	Learning to be adversarially robust and differentially private by Jamie Hayes et al
01-05-2022	Deep Fusion of Lead-lag Graphs:Application to Cryptocurrencies by Hugo Schnoering et al
01-04-2022	Towards Understanding Quality Challenges of the Federated Learning: A First Look from the Lens of Robustness by Amin Eslami Abyane et al
01-04-2022	Deep Reinforcement Learning by Aske Plaat
01-04-2022	Automated Graph Machine Learning: Approaches, Libraries and Directions by Xin Wang et al
01-04-2022	Parity-based Cumulative Fairness-aware Boosting by Vasileios Iosifidis et al
01-04-2022	Elastic Product Quantization for Time Series by Pieter Robberechts et al
01-05-2022	Sample Selection with Deadline Control for Efficient Federated Learning on Heterogeneous Clients by Jaemin Shin et al
01-07-2022	Neural calibration of hidden inhomogeneous Markov chains -- Information decompression in life insurance by Mark Kiermayer et al
01-07-2022	Neural Network Optimization for Reinforcement Learning Tasks Using Sparse Computations by Dmitry Ivanov et al
01-06-2022	Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks by Lei Cheng et al
01-05-2022	Using Machine Learning for Anomaly Detection on a System-on-Chip under Gamma Radiation by Eduardo Weber Wachter et al
01-05-2022	Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough by Esin Darici et al
01-06-2022	Learning Optimal Antenna Tilt Control Policies: A Contextual Linear Bandit Approach by Filippo Vannella et al
01-04-2022	Knowledge Informed Machine Learning using a Weibull-based Loss Function by Tim von Hahn et al
01-04-2022	Towards Similarity-Aware Time-Series Classification by Daochen Zha et al
01-04-2022	On the Minimal Adversarial Perturbation for Deep Neural Networks with Provable Estimation Error by Fabio Brau et al
01-07-2022	GenLabel: Mixup Relabeling using Generative Models by Jy-yong Sohn et al
01-06-2022	Jointly Efficient and Optimal Algorithms for Logistic Bandits by Louis Faury et al
01-07-2022	MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs by Qiaoyu Tan et al
01-07-2022	Sparse PCA on fixed-rank matrices by Alberto Del Pia
01-04-2022	ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions by Adriano Lucieri et al
01-04-2022	CHERRY: a Computational metHod for accuratE pRediction of virus-pRokarYotic interactions using a graph encoder-decoder model by Jiayu Shang et al
01-07-2022	Multi-Model Federated Learning by Neelkamal Bhuyan et al
01-04-2022	Efficient-Dyn: Dynamic Graph Representation Learning via Event-based Temporal Sparse Attention Network by Yan Pang et al
01-06-2022	ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks by WeiQin Chuah et al
01-04-2022	Trusting Machine Learning Results from Medical Procedures in the Operating Room by Ali El-Merhi et al
01-05-2022	An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering by Fernando Benjamín Pérez Maurera et al
01-04-2022	Self-directed Machine Learning by Wenwu Zhu et al
01-07-2022	Visual Attention Prediction Improves Performance of Autonomous Drone Racing Agents by Christian Pfeiffer et al
01-07-2022	Auction-Based Ex-Post-Payment Incentive Mechanism Design for Horizontal Federated Learning with Reputation and Contribution Measurement by Jingwen Zhang et al
01-04-2022	Resilience Aspects in Distributed Wireless Electroencephalographic Sampling by R. Natarov et al
01-05-2022	Self-Supervised Beat Tracking in Musical Signals with Polyphonic Contrastive Learning by Dorian Desblancs
01-04-2022	Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients by Hanhan Zhou et al
01-06-2022	PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences by Sarwan Ali et al
01-04-2022	Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations by Yuning You et al
01-05-2022	3D Intracranial Aneurysm Classification and Segmentation via Unsupervised Dual-branch Learning by Di Shao et al
01-06-2022	Comprehensive RF Dataset Collection and Release: A Deep Learning-Based Device Fingerprinting Use Case by Abdurrahman Elmaghbub et al