| Prototypical Mixing and Retrieval-Based Refinement for Label Noise-Resistant Image Retrieval | Jan 1, 2023 | Image RetrievalMemorization | CodeCode Available | 0 |
| Holistic Label Correction for Noisy Multi-Label Classification | Jan 1, 2023 | ClassificationMemorization | CodeCode Available | 0 |
| Small Transformers Compute Universal Metric Embeddings | Sep 14, 2022 | Memorization | CodeCode Available | 0 |
| Transition Propagation Graph Neural Networks for Temporal Networks | Apr 15, 2023 | Graph MiningLink Prediction | CodeCode Available | 0 |
| When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning? | Dec 11, 2020 | MemorizationPrediction | CodeCode Available | 0 |
| Provably Confidential Language Modelling | May 4, 2022 | Language ModellingMemorization | CodeCode Available | 0 |
| Adaptive Sample Selection for Robust Learning under Label Noise | Jun 29, 2021 | Image ClassificationImage Classification with Label Noise | CodeCode Available | 0 |
| Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised Domain Adaptation | Mar 17, 2024 | Contrastive LearningDomain Adaptation | CodeCode Available | 0 |
| The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding | Feb 13, 2025 | In-Context LearningMemorization | CodeCode Available | 0 |
| Unconditional Latent Diffusion Models Memorize Patient Imaging Data: Implications for Openly Sharing Synthetic Data | Feb 1, 2024 | Copy DetectionData Augmentation | CodeCode Available | 0 |
