| Don't fear the unlabelled: safe semi-supervised learning via simple debiasing | Mar 14, 2022 | Learning TheoryPseudo Label | CodeCode Available | 3 |
| NLPrompt: Noise-Label Prompt Learning for Vision-Language Models | Dec 2, 2024 | Learning TheoryLearning with noisy labels | CodeCode Available | 2 |
| Transductive Active Learning: Theory and Applications | Feb 13, 2024 | Active LearningBayesian Optimization | CodeCode Available | 2 |
| A Semantic Change Detection Network Based on Boundary Detection and Task Interaction for High-Resolution Remote Sensing Images | May 26, 2025 | Boundary DetectionChange Detection | CodeCode Available | 1 |
| DDIM sampling for Generative AIBIM, a faster intelligent structural design framework | Dec 30, 2024 | DenoisingLearning Theory | CodeCode Available | 1 |
| Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method | Sep 29, 2024 | Federated LearningLearning Theory | CodeCode Available | 1 |
| Active Test-Time Adaptation: Theoretical Analyses and An Algorithm | Apr 7, 2024 | Active LearningDomain Adaptation | CodeCode Available | 1 |
| Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation | Mar 12, 2024 | Learning TheorySemantic Segmentation | CodeCode Available | 1 |
| The Definitive Guide to Policy Gradients in Deep Reinforcement Learning: Theory, Algorithms and Implementations | Jan 24, 2024 | continuous-controlContinuous Control | CodeCode Available | 1 |
| Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks | Dec 13, 2023 | Learning Theory | CodeCode Available | 1 |
| Learning to Augment Distributions for Out-of-Distribution Detection | Nov 3, 2023 | Learning TheoryOut-of-Distribution Detection | CodeCode Available | 1 |
| Why Do We Need Weight Decay in Modern Deep Learning? | Oct 6, 2023 | Deep Learningimage-classification | CodeCode Available | 1 |
| The Local Learning Coefficient: A Singularity-Aware Complexity Measure | Aug 23, 2023 | Inductive BiasLearning Theory | CodeCode Available | 1 |
| Scaling MLPs: A Tale of Inductive Bias | Jun 23, 2023 | Computational EfficiencyGPU | CodeCode Available | 1 |
| How Does Information Bottleneck Help Deep Learning? | May 30, 2023 | Deep LearningGeneralization Bounds | CodeCode Available | 1 |
| Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle | Mar 24, 2023 | Learning Theoryregression | CodeCode Available | 1 |
| A Comprehensive Survey of Continual Learning: Theory, Method and Application | Jan 31, 2023 | Continual LearningLearning Theory | CodeCode Available | 1 |
| PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks | Mar 10, 2022 | Learning TheoryModel Selection | CodeCode Available | 1 |
| A Structured Dictionary Perspective on Implicit Neural Representations | Dec 3, 2021 | Dictionary LearningInductive Bias | CodeCode Available | 1 |
| Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks | Nov 25, 2021 | Learning TheoryTopological Data Analysis | CodeCode Available | 1 |
| Causal Forecasting:Generalization Bounds for Autoregressive Models | Nov 18, 2021 | Learning TheoryTime Series | CodeCode Available | 1 |
| Understanding Dimensional Collapse in Contrastive Self-supervised Learning | Oct 18, 2021 | Contrastive LearningLearning Theory | CodeCode Available | 1 |
| The Eigenlearning Framework: A Conservation Law Perspective on Kernel Regression and Wide Neural Networks | Oct 8, 2021 | Adversarial RobustnessInductive Bias | CodeCode Available | 1 |
| On Tilted Losses in Machine Learning: Theory and Applications | Sep 13, 2021 | BIG-bench Machine LearningFairness | CodeCode Available | 1 |
| Learning Bounds for Open-Set Learning | Jun 30, 2021 | Learning TheoryOpen Set Learning | CodeCode Available | 1 |
