| Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation with Pre-training | Dec 13, 2021 | Data AugmentationKnowledge Distillation | CodeCode Available | 0 |
| Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidance | Dec 7, 2023 | Domain AdaptationKnowledge Distillation | CodeCode Available | 0 |
| Distilled Gradual Pruning with Pruned Fine-tuning | Feb 15, 2024 | Image ClassificationKnowledge Distillation | CodeCode Available | 0 |
| Deep Clustering with Diffused Sampling and Hardness-aware Self-distillation | Jan 25, 2024 | ClusteringContrastive Learning | CodeCode Available | 0 |
| Vision-Language Meets the Skeleton: Progressively Distillation with Cross-Modal Knowledge for 3D Action Representation Learning | May 31, 2024 | Action RecognitionContrastive Learning | CodeCode Available | 0 |
| RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation | Aug 22, 2022 | Data AugmentationDomain Adaptation | CodeCode Available | 0 |
| Student Helping Teacher: Teacher Evolution via Self-Knowledge Distillation | Oct 1, 2021 | Knowledge DistillationSelf-Knowledge Distillation | CodeCode Available | 0 |
| Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation | Jun 25, 2025 | Federated LearningKnowledge Distillation | CodeCode Available | 0 |
