| Mitigating Memorization of Noisy Labels via Regularization between Representations | Oct 18, 2021 | Learning with noisy labelsMemorization | CodeCode Available | 1 | 5 |
| DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and Correction | Jan 1, 2023 | image-classificationImage Classification | CodeCode Available | 1 | 5 |
| Do We Need Zero Training Loss After Achieving Zero Training Error? | Feb 20, 2020 | Memorization | CodeCode Available | 1 | 5 |
| Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting | Nov 12, 2020 | Memorization | CodeCode Available | 1 | 5 |
| Beyond Memorization: The Challenge of Random Memory Access in Language Models | Mar 12, 2024 | MemorizationOpen-Domain Question Answering | CodeCode Available | 1 | 5 |
| Data Unlearning in Diffusion Models | Mar 2, 2025 | Machine UnlearningMemorization | CodeCode Available | 1 | 5 |
| Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics | Oct 28, 2024 | Arithmetic ReasoningMath | CodeCode Available | 1 | 5 |
| Beyond Memorization: Violating Privacy Via Inference with Large Language Models | Oct 11, 2023 | MemorizationText Anonymization | CodeCode Available | 1 | 5 |
| Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion models | Jun 5, 2023 | Brain Tumor SegmentationEthics | CodeCode Available | 1 | 5 |
| Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models | Nov 10, 2023 | GSM8KMemorization | CodeCode Available | 1 | 5 |
