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Learning Theory

Learning theory

Papers

Showing 150 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
Scaling MLPs: A Tale of Inductive BiasCode1
Active Test-Time Adaptation: Theoretical Analyses and An AlgorithmCode1
Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning PuzzleCode1
Learning to Augment Distributions for Out-of-Distribution DetectionCode1
Revisiting minimum description length complexity in overparameterized modelsCode1
Adaptive Feedforward Neural Network Control with an Optimized Hidden Node DistributionCode1
The Definitive Guide to Policy Gradients in Deep Reinforcement Learning: Theory, Algorithms and ImplementationsCode1
Model Zoo: A Growing "Brain" That Learns ContinuallyCode1
f-Domain-Adversarial Learning: Theory and AlgorithmsCode1
A Structured Dictionary Perspective on Implicit Neural RepresentationsCode1
Intrinsic Dimension, Persistent Homology and Generalization in Neural NetworksCode1
How Does Information Bottleneck Help Deep Learning?Code1
A Survey of Label-noise Representation Learning: Past, Present and FutureCode1
The Eigenlearning Framework: A Conservation Law Perspective on Kernel Regression and Wide Neural NetworksCode1
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural NetworksCode1
The Local Learning Coefficient: A Singularity-Aware Complexity MeasureCode1
Understanding Dimensional Collapse in Contrastive Self-supervised LearningCode1
Why Do We Need Weight Decay in Modern Deep Learning?Code1
Learning Bounds for Open-Set LearningCode1
On Tilted Losses in Machine Learning: Theory and ApplicationsCode1
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification TasksCode1
PAC Confidence Sets for Deep Neural Networks via Calibrated PredictionCode1
DDIM sampling for Generative AIBIM, a faster intelligent structural design frameworkCode1
Active Importance Sampling for Variational Objectives Dominated by Rare Events: Consequences for Optimization and GeneralizationCode1
A Comprehensive Survey of Continual Learning: Theory, Method and ApplicationCode1
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and MethodCode1
A Semantic Change Detection Network Based on Boundary Detection and Task Interaction for High-Resolution Remote Sensing ImagesCode1
Harmonics of Learning: Universal Fourier Features Emerge in Invariant NetworksCode1
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic SegmentationCode1
Foreseeing the Benefits of Incidental SupervisionCode0
A Brain-inspired Algorithm for Training Highly Sparse Neural NetworksCode0
Estimating the Local Learning Coefficient at ScaleCode0
Generalization Bounds with Data-dependent Fractal DimensionsCode0
Efficient Training for Positive Unlabeled LearningCode0
Double descent in quantum machine learningCode0
End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic dataCode0
Learning invariant representations of time-homogeneous stochastic dynamical systemsCode0
Deep Learning with CNNs: A Compact Holistic Tutorial with Focus on Supervised Regression (Preprint)Code0
A Bayesian Perspective of Statistical Machine Learning for Big DataCode0
Deep Learning without Poor Local MinimaCode0
Generalization in Machine Learning via Analytical Learning TheoryCode0
Data-Error Scaling in Machine Learning on Natural Discrete Combinatorial Mutation-prone Sets: Case Studies on Peptides and Small MoleculesCode0
Deep Active Learning with Augmentation-based Consistency EstimationCode0
Continuous vs. Discrete Optimization of Deep Neural NetworksCode0
Consistent Sparse Deep Learning: Theory and ComputationCode0
Data-Driven Performance Guarantees for Classical and Learned OptimizersCode0
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