| f-Domain-Adversarial Learning: Theory and Algorithms | Jun 21, 2021 | Domain AdaptationLearning Theory | CodeCode Available | 1 |
| Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method | Sep 29, 2024 | Federated LearningLearning Theory | CodeCode Available | 1 |
| DDIM sampling for Generative AIBIM, a faster intelligent structural design framework | Dec 30, 2024 | DenoisingLearning Theory | CodeCode Available | 1 |
| Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation | Mar 12, 2024 | Learning TheorySemantic Segmentation | CodeCode Available | 1 |
| Learning to Augment Distributions for Out-of-Distribution Detection | Nov 3, 2023 | Learning TheoryOut-of-Distribution Detection | CodeCode Available | 1 |
| Active Importance Sampling for Variational Objectives Dominated by Rare Events: Consequences for Optimization and Generalization | Aug 11, 2020 | BIG-bench Machine LearningLearning Theory | CodeCode Available | 1 |
| On Tilted Losses in Machine Learning: Theory and Applications | Sep 13, 2021 | BIG-bench Machine LearningFairness | CodeCode Available | 1 |
| Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks | Jun 15, 2020 | Learning TheoryTransductive Learning | CodeCode Available | 1 |
| A Comprehensive Survey of Continual Learning: Theory, Method and Application | Jan 31, 2023 | Continual LearningLearning Theory | CodeCode Available | 1 |
| Scaling MLPs: A Tale of Inductive Bias | Jun 23, 2023 | Computational EfficiencyGPU | CodeCode Available | 1 |