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Learning Theory

Learning theory

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Showing 1–50 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
Causal Forecasting:Generalization Bounds for Autoregressive ModelsCode1
Learning to Augment Distributions for Out-of-Distribution DetectionCode1
Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning PuzzleCode1
The Definitive Guide to Policy Gradients in Deep Reinforcement Learning: Theory, Algorithms and ImplementationsCode1
How Does Information Bottleneck Help Deep Learning?Code1
Learning Bounds for Open-Set LearningCode1
Scaling MLPs: A Tale of Inductive BiasCode1
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification TasksCode1
Active Importance Sampling for Variational Objectives Dominated by Rare Events: Consequences for Optimization and GeneralizationCode1
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and MethodCode1
Adaptive Feedforward Neural Network Control with an Optimized Hidden Node DistributionCode1
DDIM sampling for Generative AIBIM, a faster intelligent structural design frameworkCode1
A Semantic Change Detection Network Based on Boundary Detection and Task Interaction for High-Resolution Remote Sensing ImagesCode1
f-Domain-Adversarial Learning: Theory and AlgorithmsCode1
Harmonics of Learning: Universal Fourier Features Emerge in Invariant NetworksCode1
Intrinsic Dimension, Persistent Homology and Generalization in Neural NetworksCode1
The Eigenlearning Framework: A Conservation Law Perspective on Kernel Regression and Wide Neural NetworksCode1
PAC Confidence Sets for Deep Neural Networks via Calibrated PredictionCode1
Revisiting minimum description length complexity in overparameterized modelsCode1
Why Do We Need Weight Decay in Modern Deep Learning?Code1
The Local Learning Coefficient: A Singularity-Aware Complexity MeasureCode1
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural NetworksCode1
On Tilted Losses in Machine Learning: Theory and ApplicationsCode1
A Survey of Label-noise Representation Learning: Past, Present and FutureCode1
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic SegmentationCode1
A Comprehensive Survey of Continual Learning: Theory, Method and ApplicationCode1
Active Test-Time Adaptation: Theoretical Analyses and An AlgorithmCode1
Understanding Dimensional Collapse in Contrastive Self-supervised LearningCode1
A Structured Dictionary Perspective on Implicit Neural RepresentationsCode1
Model Zoo: A Growing "Brain" That Learns ContinuallyCode1
A Formal Proof of PAC Learnability for Decision Stumps—0
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data—0
Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications—0
Adversarial Robustness is at Odds with Lazy Training—0
A Combinatorial Characterization of Supervised Online Learnability—0
A Bennett Inequality for the Missing Mass—0
A Denoising Loss Bound for Neural Network based Universal Discrete Denoisers—0
A deep learning theory for neural networks grounded in physics—0
A cognitively driven weighted-entropy model for embedding semantic categories in hyperbolic geometry—0
A deep deformable residual learning network for SAR images segmentation—0
A Mathematical Theory of Learning—0
Adaptive time series forecasting with markovian variance switching—0
A Closer Look at the Learnability of Out-of-Distribution (OOD) Detection—0
1-bit Matrix Completion: PAC-Bayesian Analysis of a Variational Approximation—0
A Model of Selective Advantage for the Efficient Inference of Cancer Clonal Evolution—0
A Moment-Matching Approach to Testable Learning and a New Characterization of Rademacher Complexity—0
10 Years of Fair Representations: Challenges and Opportunities—0
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