2022.1.3 Learning papers

12-31-2021	A Neural Network Solves and Generates Mathematics Problems by Program Synthesis: Calculus, Differential Equations, Linear Algebra, and More by Iddo Drori et al
12-29-2021	StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2 by Ivan Skorokhodov et al
12-30-2021	Persformer: A Transformer Architecture for Topological Machine Learning by Raphael Reinauer et al
12-31-2021	Training and Generating Neural Networks in Compressed Weight Space by Kazuki Irie et al
12-30-2021	Towards Robustness of Neural Networks by Steven Basart
12-30-2021	On the Role of Neural Collapse in Transfer Learning by Tomer Galanti et al
12-28-2021	AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition by Yulin Wang et al
12-28-2021	Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks by Weiran Lin et al
12-31-2021	On Distinctive Properties of Universal Perturbations by Sung Min Park et al
12-29-2021	Nonconvex Stochastic Scaled-Gradient Descent and Generalized Eigenvector Problems by Chris Junchi Li et al
12-31-2021	Sufficient Statistic Memory AMP by Lei Liu et al
12-28-2021	DeepHAM: A Global Solution Method for Heterogeneous Agent Models with Aggregate Shocks by Jiequn Han et al
12-29-2021	Data-Driven Computational Methods for the Domain of Attraction and Zubovs Equation by Wei Kang et al
12-28-2021	DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification by Aleksandra Ćiprijanović et al
12-29-2021	Sequential Episodic Control by Ismael T. Freire et al
12-28-2021	Dense-to-Sparse Gate for Mixture-of-Experts by Xiaonan Nie et al
12-30-2021	Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling by Dmitry Kovalev et al
12-29-2021	Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence by Kacper Sokol et al
12-29-2021	Monte Carlo EM for Deep Time Series Anomaly Detection by François-Xavier Aubet et al
12-29-2021	Disentanglement and Generalization Under Correlation Shifts by Christina M. Funke et al
12-29-2021	Polyak-Ruppert Averaged Q-Leaning is Statistically Efficient by Xiang Li et al
12-30-2021	What is Event Knowledge Graph: A Survey by Saiping Guan et al
12-28-2021	Variational Learning for the Inverted Beta-Liouville Mixture Model and Its Application to Text Categorization by Yongfa Ling et al
12-28-2021	Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method by Sijin Chen et al
12-31-2021	SplitBrain: Hybrid Data and Model Parallel Deep Learning by Farley Lai et al
12-28-2021	A Finite Sample Theorem for Longitudinal Causal Inference with Machine Learning: Long Term, Dynamic, and Mediated Effects by Rahul Singh
12-29-2021	Overcoming Mode Collapse with Adaptive Multi Adversarial Training by Karttikeya Mangalam et al
12-29-2021	Altitude Optimization of UAV Base Stations from Satellite Images Using Deep Neural Network by Ibrahim Shoer et al
12-29-2021	Active Learning of Quantum System Hamiltonians yields Query Advantage by Arkopal Dutt et al
12-30-2021	Domain Adaptation with Category Attention Network for Deep Sentiment Analysis by Dongbo Xi et al
12-29-2021	Fine-Tuning Transformers: Vocabulary Transfer by Igor Samenko et al
12-28-2021	Towards continual task learning in artificial neural networks: current approaches and insights from neuroscience by David McCaffary
12-30-2021	Decentralized Optimization Over the Stiefel Manifold by an Approximate Augmented Lagrangian Function by Lei Wang et al
12-30-2021	Distributed Random Reshuffling over Networks by Kun Huang et al
12-29-2021	Implementation of Convolutional Neural Network Architecture on 3D Multiparametric Magnetic Resonance Imaging for Prostate Cancer Diagnosis by Ping-Chang Lin et al
12-30-2021	When are Iterative Gaussian Processes Reliably Accurate? by Wesley J. Maddox et al
12-28-2021	Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently by Futa Waseda et al
12-29-2021	Machine Learning Methods for Spectral Efficiency Prediction in Massive MIMO Systems by Evgeny Bobrov et al
12-29-2021	EiFFFeL: Enforcing Fairness in Forests by Flipping Leaves by Seyum Assefa Abebe et al
12-28-2021	Financial Vision Based Differential Privacy Applications by Jun-Hao Chen et al
12-29-2021	Differentially-Private Clustering of Easy Instances by Edith Cohen et al
12-29-2021	DP-FP: Differentially Private Forward Propagation for Large Models by Jian Du et al
12-29-2021	Control Theoretic Analysis of Temporal Difference Learning by Donghwan Lee
12-28-2021	Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge by Kartikeya Bhardwaj et al
12-29-2021	Multivariate Trend Filtering for Lattice Data by Veeranjaneyulu Sadhanala et al
12-31-2021	InverseMV: Composing Piano Scores with a Convolutional Video-Music Transformer by Chin-Tung Lin et al
12-30-2021	Pose Estimation of Specific Rigid Objects by Tomas Hodan
12-28-2021	Time-Incremental Learning from Data Using Temporal Logics by Erfan Aasi et al
12-30-2021	Data-Free Knowledge Transfer: A Survey by Yuang Liu et al
12-31-2021	Machine Learning Trivializing Maps: A First Step Towards Understanding How Flow-Based Samplers Scale Up by Luigi Del Debbio et al
12-31-2021	Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship by Quanziang Wang et al
12-30-2021	ViNMT: Neural Machine Translation Tookit by Nguyen Hoang Quan et al
12-29-2021	Universal Online Learning with Bounded Loss: Reduction to Binary Classification by Moïse Blanchard et al
12-31-2021	Calibrated Hyperspectral Image Reconstruction via Graph-based Self-Tuning Network by Jiamian Wang et al
12-30-2021	Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network by Jiyang Bai et al
12-31-2021	Infinite wide (finite depth) Neural Networks benefit from multi-task learning unlike shallow Gaussian Processes -- an exact quantitative macroscopic characterization by Jakob Heiss et al
12-28-2021	Multi-Head Deep Metric Learning Using Global and Local Representations by Mohammad K. Ebrahimpour et al
12-30-2021	Entropy Regularized Optimal Transport Independence Criterion by Lang Liu et al
12-29-2021	A transfer learning enhanced the physics-informed neural network model for vortex-induced vibration by Hesheng Tang et al
12-30-2021	Benign Overfitting in Adversarially Robust Linear Classification by Jinghui Chen et al
12-28-2021	Robust Convergence in Federated Learning through Label-wise Clustering by Hunmin Lee et al
12-29-2021	Two-phase training mitigates class imbalance for camera trap image classification with CNNs by Farjad Malik et al
12-28-2021	Beta-VAE Reproducibility: Challenges and Extensions by Miroslav Fil et al
12-29-2021	Local Quadratic Convergence of Stochastic Gradient Descent with Adaptive Step Size by Adityanarayanan Radhakrishnan et al
12-28-2021	On the Overlooked Significance of Underutilized Contextual Features in Recent News Recommendation Models by Sungmin Cho et al
12-31-2021	Bayesian Optimization of Function Networks by Raul Astudillo et al
12-31-2021	PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability by Sílvia Casacuberta et al
12-30-2021	Aim in Climate Change and City Pollution by Pablo Torres et al
12-30-2021	Two Instances of Interpretable Neural Network for Universal Approximations by Erico Tjoa et al
12-28-2021	Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization by Peng Zhao et al
12-29-2021	Shallow decision trees for explainable kk-means clustering by Eduardo Laber et al
12-29-2021	GPS: A Policy-driven Sampling Approach for Graph Representation Learning by Tiehua Zhang et al
12-30-2021	Learning Agent State Online with Recurrent Generate-and-Test by Amir Samani et al
12-29-2021	Application of Hierarchical Temporal Memory Theory for Document Categorization by Deven Shah et al
12-28-2021	Exponential Family Model-Based Reinforcement Learning via Score Matching by Gene Li et al
12-31-2021	Improved Algorithm for the Network Alignment Problem with Application to Binary Diffing by Elie Mengin et al
12-31-2021	Binary Diffing as a Network Alignment Problem via Belief Propagation by Elie Mengin et al
12-29-2021	Active Learning-Based Optimization of Scientific Experimental Design by Ruoyu Wang
12-29-2021	Deformable Graph Convolutional Networks by Jinyoung Park et al
12-29-2021	DeePN22: A deep learning-based non-Newtonian hydrodynamic model by Lidong Fang et al
12-28-2021	Federated Learning for Cross-block Oil-water Layer Identification by Bingyang Chena et al
12-29-2021	Universal Transformer Hawkes Process with Adaptive Recursive Iteration by Lu-ning Zhang et al
12-29-2021	Temporal Attention Augmented Transformer Hawkes Process by Lu-ning Zhang et al
12-29-2021	Bayesian Neural Hawkes Process for Event Uncertainty Prediction by Manisha Dubey et al
12-30-2021	BP-Net: Cuff-less, Calibration-free, and Non-invasive Blood Pressure Estimation via a Generic Deep Convolutional Architecture by Soheil Zabihi et al
12-31-2021	Transfer learning for cancer diagnosis in histopathological images by Sandhya Aneja et al
12-30-2021	SimSR: Simple Distance-based State Representation for Deep Reinforcement Learning by Hongyu Zang et al
12-28-2021	Improving Prediction of Cognitive Performance using Deep Neural Networks in Sparse Data by Sharath Koorathota et al
12-31-2021	Disjoint Contrastive Regression Learning for Multi-Sourced Annotations by Xiaoqian Ruan et al
12-31-2021	Machine learning based disease diagnosis: A comprehensive review by Md Manjurul Ahsan et al
12-29-2021	An additive graphical model for discrete data by Jun Tao et al
12-29-2021	Isotuning With Applications To Scale-Free Online Learning by Laurent Orseau et al
12-28-2021	Feature-context driven Federated Meta-Learning for Rare Disease Prediction by Bingyang Chen et al
12-30-2021	Deconfounded Training for Graph Neural Networks by Yongduo Sui et al
12-31-2021	Single-Shot Pruning for Offline Reinforcement Learning by Samin Yeasar Arnob et al
12-28-2021	Skin feature point tracking using deep feature encodings by Jose Ramon Chang et al
12-29-2021	Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective by Lanning Wei et al
12-28-2021	Deep neural networks for solving forward and inverse problems of (2+1)-dimensional nonlinear wave equations with rational solitons by Zijian Zhou et al
12-31-2021	Improving Baselines in the Wild by Kazuki Irie et al
12-31-2021	Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates by Nicholas J. Irons et al
12-28-2021	Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification by Beier Zhu et al
12-28-2021	FRIDA -- Generative Feature Replay for Incremental Domain Adaptation by Sayan Rakshit et al
12-31-2021	on the effectiveness of generative adversarial network on anomaly detection by Laya Rafiee Sevyeri et al
12-31-2021	Separation of scales and a thermodynamic description of feature learning in some CNNs by Inbar Seroussi et al
12-29-2021	The impact of students behaviour, their approach, emotions and problem difficulty level on the performance prediction, evaluation and overall learning process during online coding activities by Dr. Hardik Patel et al
12-28-2021	Investigating Shifts in GAN Output-Distributions by Ricard Durall et al
12-31-2021	Robust Entropy-regularized Markov Decision Processes by Tien Mai et al
12-30-2021	Exploring the pattern of Emotion in children with ASD as an early biomarker through Recurring-Convolution Neural Network (R-CNN) by Abirami S P et al
12-30-2021	Neural Hierarchical Factorization Machines for Users Event Sequence Analysis by Dongbo Xi et al
12-31-2021	Representation Learning via Consistent Assignment of Views to Clusters by Thalles Silva et al
12-28-2021	Deep Graph Clustering via Dual Correlation Reduction by Yue Liu et al
12-31-2021	Settling the Bias and Variance of Meta-Gradient Estimation for Meta-Reinforcement Learning by Bo Liu et al
12-30-2021	Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques by JunKyu Lee et al
12-28-2021	Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback by Boxin Zhao et al
12-29-2021	A sampling-based approach for efficient clustering in large datasets by Georgios Exarchakis et al
12-28-2021	Multilayer Graph Contrastive Clustering Network by Liang Liu et al
12-30-2021	Self Reward Design with Fine-grained Interpretability by Erico Tjoa et al
12-31-2021	A Critical Review of Inductive Logic Programming Techniques for Explainable AI by Zheng Zhang et al
12-29-2021	AutoFITS: Automatic Feature Engineering for Irregular Time Series by Pedro Costa et al
12-28-2021	Solving time dependent Fokker-Planck equations via temporal normalizing flow by Xiaodong Feng et al
12-30-2021	Learned Coarse Models for Efficient Turbulence Simulation by Kimberly Stachenfeld et al
12-30-2021	Leveraging in-domain supervision for unsupervised image-to-image translation tasks via multi-stream generators by Dvir Yerushalmi et al
12-29-2021	A Unified and Constructive Framework for the Universality of Neural Networks by Tan Bui-Thanh
12-30-2021	ChunkFormer: Learning Long Time Series with Multi-stage Chunked Transformer by Yue Ju et al
12-30-2021	Multi-Agent Reinforcement Learning via Adaptive Kalman Temporal Difference and Successor Representation by Mohammad Salimibeni et al
12-30-2021	RheFrameDetect: A Text Classification System for Automatic Detection of Rhetorical Frames in AI from Open Sources by Saurav Ghosh et al
12-29-2021	PINNs for the Solution of the Hyperbolic Buckley-Leverett Problem with a Non-convex Flux Function by Waleed Diab et al
12-31-2021	Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning by Xiang Li et al
12-30-2021	Studying the Interplay between Information Loss and Operation Loss in Representations for Classification by Jorge F. Silva et al
12-30-2021	Bayesian Algorithms Learn to Stabilize Unknown Continuous-Time Systems by Mohamad Kazem Shirani Faradonbeh et al
12-29-2021	DDPG car-following model with real-world human driving experience in CARLA by Dianzhao Li et al
12-30-2021	Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction by Zhenguang Liu et al
12-31-2021	An Unsupervised Domain Adaptation Model based on Dual-module Adversarial Training by Yiju Yang et al
12-31-2021	Importance of Empirical Sample Complexity Analysis for Offline Reinforcement Learning by Samin Yeasar Arnob et al
12-30-2021	Modelling of Bi-directional Spatio-Temporal Dependence and Users Dynamic Preferences for Missing POI Check-in Identification by Dongbo Xi et al
12-31-2021	Actor Loss of Soft Actor Critic Explained by Thibault Lahire
12-31-2021	Weakly Supervised Change Detection Using Guided Anisotropic Difusion by Rodrigo Caye Daudt et al
12-30-2021	Development of a face mask detection pipeline for mask-wearing monitoring in the era of the COVID-19 pandemic: A modular approach by Benjaphan Sommana et al
12-30-2021	Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification by Stephan Johann Lehmler et al
12-30-2021	Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks by Qingsong Lv et al
12-28-2021	Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations by Angeliki Kamoutsi et al
12-31-2021	Training Recurrent Neural Networks by Sequential Least Squares and the Alternating Direction Method of Multipliers by Alberto Bemporad
12-30-2021	Digital Rock Typing DRT Algorithm Formulation with Optimal Supervised Semantic Segmentation by Omar Alfarisi et al
12-29-2021	Reversible Upper Confidence Bound Algorithm to Generate Diverse Optimized Candidates by Bin Chong et al
12-31-2021	Shift-Equivariant Similarity-Preserving Hypervector Representations of Sequences by Dmitri A. Rachkovskij
12-29-2021	Learning Inception Attention for Image Synthesis and Image Recognition by Jianghao Shen et al
12-30-2021	Machine Learning Application Development: Practitioners Insights by Md Saidur Rahman et al
12-29-2021	Motif Graph Neural Network by Xuexin Chen et al
12-29-2021	A Unified DRO View of Multi-class Loss Functions with top-N Consistency by Dixian Zhu et al
12-29-2021	A Survey of Deep Learning Techniques for Dynamic Branch Prediction by Rinu Joseph
12-30-2021	A general technique for the estimation of farm animal body part weights from CT scans and its applications in a rabbit breeding program by Ádám Csóka et al
12-29-2021	Retrieving Black-box Optimal Images from External Databases by Ryoma Sato
12-28-2021	Robustness and risk management via distributional dynamic programming by Mastane Achab et al
12-31-2021	Inferring perceptual decision making parameters from behavior in production and reproduction tasks by Nils Neupärtl et al
12-30-2021	A General Traffic Shaping Protocol in E-Commerce by Chenlin Shen et al
12-28-2021	Fostering the Robustness of White-Box Deep Neural Network Watermarks by Neuron Alignment by Fang-Qi Li et al
12-30-2021	Audio-to-symbolic Arrangement via Cross-modal Music Representation Learning by Ziyu Wang et al
12-31-2021	Processing Images from Multiple IACTs in the TAIGA Experiment with Convolutional Neural Networks by Stanislav Polyakov et al
12-31-2021	Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling by Jiaqi Ma et al
12-28-2021	Learning Across Bandits in High Dimension via Robust Statistics by Kan Xu et al
12-29-2021	Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities by José Suárez-Varela et al
12-30-2021	Deep Learning Models for Knowledge Tracing: Review and Empirical Evaluation by Sami Sarsa et al
12-30-2021	Dimensionality reduction for prediction: Application to Bitcoin and Ethereum by Hugo Inzirillo et al
12-28-2021	Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction by Marcin Pietroń et al
12-28-2021	To Supervise or Not: How to Effectively Learn Wireless Interference Management Models? by Bingqing Song et al
12-28-2021	Ensemble Recognition in Reproducing Kernel Hilbert Spaces through Aggregated Measurements by Wei Miao et al
12-31-2021	Transfer learning of phase transitions in percolation and directed percolation by Jianmin Shen et al
12-29-2021	The SAMME.C2 algorithm for severely imbalanced multi-class classification by Banghee So et al
12-30-2021	Constructing a Good Behavior Basis for Transfer using Generalized Policy Updates by Safa Alver et al
12-28-2021	Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows by Malik Hassanaly et al
12-28-2021	GANISP: a GAN-assisted Importance SPlitting Probability Estimator by Malik Hassanaly et al
12-28-2021	Mythological Medical Machine Learning: Boosting the Performance of a Deep Learning Medical Data Classifier Using Realistic Physiological Models by Ismail Sadiq et al
12-28-2021	Adversarial Learning for Incentive Optimization in Mobile Payment Marketing by Xuanying Chen et al