SOTAVerified

Learning Theory

Learning theory

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 852 papers

TitleStatusHype
Don't fear the unlabelled: safe semi-supervised learning via simple debiasingCode3
NLPrompt: Noise-Label Prompt Learning for Vision-Language ModelsCode2
Transductive Active Learning: Theory and ApplicationsCode2
A Semantic Change Detection Network Based on Boundary Detection and Task Interaction for High-Resolution Remote Sensing ImagesCode1
DDIM sampling for Generative AIBIM, a faster intelligent structural design frameworkCode1
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and MethodCode1
Active Test-Time Adaptation: Theoretical Analyses and An AlgorithmCode1
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic SegmentationCode1
The Definitive Guide to Policy Gradients in Deep Reinforcement Learning: Theory, Algorithms and ImplementationsCode1
Harmonics of Learning: Universal Fourier Features Emerge in Invariant NetworksCode1
Learning to Augment Distributions for Out-of-Distribution DetectionCode1
Why Do We Need Weight Decay in Modern Deep Learning?Code1
The Local Learning Coefficient: A Singularity-Aware Complexity MeasureCode1
Scaling MLPs: A Tale of Inductive BiasCode1
How Does Information Bottleneck Help Deep Learning?Code1
Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning PuzzleCode1
A Comprehensive Survey of Continual Learning: Theory, Method and ApplicationCode1
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification TasksCode1
A Structured Dictionary Perspective on Implicit Neural RepresentationsCode1
Intrinsic Dimension, Persistent Homology and Generalization in Neural NetworksCode1
Causal Forecasting:Generalization Bounds for Autoregressive ModelsCode1
Understanding Dimensional Collapse in Contrastive Self-supervised LearningCode1
The Eigenlearning Framework: A Conservation Law Perspective on Kernel Regression and Wide Neural NetworksCode1
On Tilted Losses in Machine Learning: Theory and ApplicationsCode1
Learning Bounds for Open-Set LearningCode1
f-Domain-Adversarial Learning: Theory and AlgorithmsCode1
Model Zoo: A Growing "Brain" That Learns ContinuallyCode1
A Survey of Label-noise Representation Learning: Past, Present and FutureCode1
Active Importance Sampling for Variational Objectives Dominated by Rare Events: Consequences for Optimization and GeneralizationCode1
Revisiting minimum description length complexity in overparameterized modelsCode1
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural NetworksCode1
Adaptive Feedforward Neural Network Control with an Optimized Hidden Node DistributionCode1
PAC Confidence Sets for Deep Neural Networks via Calibrated PredictionCode1
On the Hardness of Bandit Learning—0
Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach—0
The Universality Lens: Why Even Highly Over-Parametrized Models Learn Well—0
Learning Theory of Decentralized Robust Kernel-Based Learning Algorithm—0
What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness—0
A Machine Learning Theory Perspective on Strategic Litigation—0
Variational Adaptive Noise and Dropout towards Stable Recurrent Neural Networks—0
Learning DNF through Generalized Fourier Representations—0
Distribution free M-estimation—0
Attribute-Efficient PAC Learning of Sparse Halfspaces with Constant Malicious Noise Rate—0
Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical SystemsCode0
Data-Driven Breakthroughs and Future Directions in AI Infrastructure: A Comprehensive Review—0
An Asymptotic Equation Linking WAIC and WBIC in Singular Models—0
Information Science Principles of Machine Learning: A Causal Chain Meta-Framework Based on Formalized Information Mapping—0
Learning Guarantee of Reward Modeling Using Deep Neural Networks—0
New Statistical and Computational Results for Learning Junta Distributions—0
Lower Bounds for Greedy Teaching Set Constructions—0
Show:102550
← PrevPage 1 of 18Next →

No leaderboard results yet.