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Learning Theory

Learning theory

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Showing 401–450 of 852 papers

TitleStatusHype
Generalized Label Shift Correction via Minimum Uncertainty Principle: Theory and Algorithm—0
Generalized Leverage Score Sampling for Neural Networks—0
Generalized Optimization: A First Step Towards Category Theoretic Learning Theory—0
Generation through the lens of learning theory—0
Generative learning for nonlinear dynamics—0
Generative Models of Huge Objects—0
Geometry of fibers of the multiplication map of deep linear neural networks—0
Geometry Perspective Of Estimating Learning Capability Of Neural Networks—0
Empirical Risk Minimization in the Interpolating Regime with Application to Neural Network Learning—0
Globe230k: A Benchmark Dense-Pixel Annotation Dataset for Global Land Cover Mapping—0
Good Classifiers are Abundant in the Interpolating Regime—0
Gradient-based Competitive Learning: Theory—0
Graph Classification via Reference Distribution Learning: Theory and Practice—0
Graph Neural Networks Provably Benefit from Structural Information: A Feature Learning Perspective—0
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability—0
Grokking phase transitions in learning local rules with gradient descent—0
Hallucination is Inevitable: An Innate Limitation of Large Language Models—0
Hardness of Learning Fixed Parities with Neural Networks—0
Near-Optimal Statistical Query Hardness of Learning Halfspaces with Massart Noise—0
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles—0
Hierarchical robust aggregation of sales forecasts at aggregated levels in e-commerce, based on exponential smoothing and Holt's linear trend method—0
Hierarchical sparse Bayesian learning: theory and application for inferring structural damage from incomplete modal data—0
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression—0
How many samples are needed to leverage smoothness?—0
Huber Additive Models for Non-stationary Time Series Analysis—0
Human Active Learning—0
Human Rademacher Complexity—0
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability—0
I Do Not Understand What I Cannot Define: Automatic Question Generation With Pedagogically-Driven Content Selection—0
Illuminating Dark Knowledge via Random Matrix Ensembles—0
Immersion for AI: Immersive Learning with Artificial Intelligence—0
Impact of Data Augmentation on QCNNs—0
Importance of the Mathematical Foundations of Machine Learning Methods for Scientific and Engineering Applications—0
Improved Fine-Tuning by Better Leveraging Pre-Training Data—0
Improved Generalization Risk Bounds for Meta-Learning with PAC-Bayes-kl Analysis—0
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints—0
Improving Generalization of Sequence Encoder-Decoder Networks for Inverse Imaging of Cardiac Transmembrane Potential—0
Improving Noise Robustness through Abstractions and its Impact on Machine Learning—0
Incomplete Multi-view Multi-label Classification via a Dual-level Contrastive Learning Framework—0
Inductive supervised quantum learning—0
Inference in Sparse Graphs with Pairwise Measurements and Side Information—0
Inferring Ingrained Remote Information in AC Power Flows Using Neuromorphic Modality Regime—0
Information Science Principles of Machine Learning: A Causal Chain Meta-Framework Based on Formalized Information Mapping—0
Information-Theoretic Analysis of Minimax Excess Risk—0
Information-theoretic generalization bounds for learning from quantum data—0
Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization—0
Integrated analysis of the urban water-electricity demand nexus in the Midwestern United States—0
Interplay between depth of neural networks and locality of target functions—0
Analyzing Data Selection Techniques with Tools from the Theory of Information Losses—0
Interpreting Deep Learning: The Machine Learning Rorschach Test?—0
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