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Learning Theory

Learning theory

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Showing 401–425 of 852 papers

TitleStatusHype
Formal models of memory based on temporally-varying representations—0
Envisioning Future Deep Learning Theories: Some Basic Concepts and Characteristics—0
A cognitively driven weighted-entropy model for embedding semantic categories in hyperbolic geometry—0
Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment—0
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks—0
Intrinisic Gradient Compression for Federated Learning—0
A Structured Dictionary Perspective on Implicit Neural RepresentationsCode1
Black-box tests for algorithmic stability—0
Mesarovician Abstract Learning Systems—0
Intrinsic Dimension, Persistent Homology and Generalization in Neural NetworksCode1
Improved Fine-Tuning by Better Leveraging Pre-Training Data—0
Uniform Brackets, Containers, and Combinatorial Macbeath Regions—0
SpeedyIBL: A Comprehensive, Precise, and Fast Implementation of Instance-Based Learning TheoryCode0
Causal Forecasting:Generalization Bounds for Autoregressive ModelsCode1
Realizable Learning is All You Need—0
Provably efficient, succinct, and precise explanations—0
Labeled sample compression schemes for complexes of oriented matroids—0
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neuronsCode0
On Optimal Interpolation In Linear RegressionCode0
User-friendly introduction to PAC-Bayes bounds—0
Provable Hierarchy-Based Meta-Reinforcement Learning—0
Understanding Dimensional Collapse in Contrastive Self-supervised LearningCode1
Explaining generalization in deep learning: progress and fundamental limits—0
Synthesizing Machine Learning Programs with PAC Guarantees via Statistical Sketching—0
PAC Synthesis of Machine Learning Programs—0
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