| On the Robustness of Monte Carlo Dropout Trained with Noisy Labels | Mar 22, 2021 | Learning with noisy labelsMemorization | —Unverified | 0 |
| Privacy Regularization: Joint Privacy-Utility Optimization in Language Models | Mar 12, 2021 | MemorizationPrivacy Preserving | —Unverified | 0 |
| On the privacy-utility trade-off in differentially private hierarchical text classification | Mar 4, 2021 | General ClassificationInference Attack | CodeCode Available | 0 |
| Parsimonious Inference | Mar 3, 2021 | Bayesian InferenceMemorization | —Unverified | 0 |
| Membership Inference Attacks are Easier on Difficult Problems | Feb 15, 2021 | Image SegmentationMedical Image Segmentation | CodeCode Available | 0 |
| Robust Generalization and Safe Query-Specialization in Counterfactual Learning to Rank | Feb 11, 2021 | counterfactualLearning-To-Rank | CodeCode Available | 0 |
| Memorization vs. Generalization: Quantifying Data Leakage in NLP Performance Evaluation | Feb 3, 2021 | Memorizationnamed-entity-recognition | CodeCode Available | 0 |
| Learning to Combat Noisy Labels via Classification Margins | Feb 1, 2021 | ClassificationGeneral Classification | —Unverified | 0 |
| Meta-Regularization by Enforcing Mutual-Exclusiveness | Jan 24, 2021 | MemorizationMeta-Learning | CodeCode Available | 0 |
| PConv: Simple yet Effective Convolutional Layer for Generative Adversarial Network | Jan 19, 2021 | Generative Adversarial NetworkMemorization | —Unverified | 0 |