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Learning Theory

Learning theory

Papers

Showing 125 of 852 papers

TitleStatusHype
Don't fear the unlabelled: safe semi-supervised learning via simple debiasingCode3
Transductive Active Learning: Theory and ApplicationsCode2
NLPrompt: Noise-Label Prompt Learning for Vision-Language ModelsCode2
On Tilted Losses in Machine Learning: Theory and ApplicationsCode1
Active Importance Sampling for Variational Objectives Dominated by Rare Events: Consequences for Optimization and GeneralizationCode1
The Eigenlearning Framework: A Conservation Law Perspective on Kernel Regression and Wide Neural NetworksCode1
How Does Information Bottleneck Help Deep Learning?Code1
Causal Forecasting:Generalization Bounds for Autoregressive ModelsCode1
Adaptive Feedforward Neural Network Control with an Optimized Hidden Node DistributionCode1
Harmonics of Learning: Universal Fourier Features Emerge in Invariant NetworksCode1
Learning Bounds for Open-Set LearningCode1
Learning to Augment Distributions for Out-of-Distribution DetectionCode1
A Structured Dictionary Perspective on Implicit Neural RepresentationsCode1
A Comprehensive Survey of Continual Learning: Theory, Method and ApplicationCode1
A Semantic Change Detection Network Based on Boundary Detection and Task Interaction for High-Resolution Remote Sensing ImagesCode1
A Survey of Label-noise Representation Learning: Past, Present and FutureCode1
Model Zoo: A Growing "Brain" That Learns ContinuallyCode1
Active Test-Time Adaptation: Theoretical Analyses and An AlgorithmCode1
DDIM sampling for Generative AIBIM, a faster intelligent structural design frameworkCode1
Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning PuzzleCode1
f-Domain-Adversarial Learning: Theory and AlgorithmsCode1
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and MethodCode1
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic SegmentationCode1
Intrinsic Dimension, Persistent Homology and Generalization in Neural NetworksCode1
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural NetworksCode1
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