| Fine-grained neural network explanation by identifying input features with predictive information Y Zhang*, A Khakzar*, Y Li, A Farshad, ST Kim, N Navab Advances in Neural Information Processing Systems 34, 20040-20051, 2021 | 32 | 2021 |
| Explaining covid-19 and thoracic pathology model predictions by identifying informative input features A Khakzar, Y Zhang, W Mansour, Y Cai, Y Li, Y Zhang, ST Kim, N Navab Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 18 | 2021 |
| Deep learning‐based classification of dermatological lesions given a limited amount of labelled data S Krammer, Y Li, N Jakob, AS Boehm, H Wolff, P Tang, T Lasser, ... Journal of the European Academy of Dermatology and Venereology 36 (12), 2516 …, 2022 | 8 | 2022 |
| Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization A Vahidi, S Schosser, L Wimmer, Y Li, B Bischl, E Hüllermeier, M Rezaei The Twelfth International Conference on Learning Representations (ICLR), 2024 | 5* | 2024 |
| FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models Y Zhang*, Y Li*, X Wang, Q Shen, B Plank, B Bischl, M Rezaei, ... Workshop on Machine Learning and Compression, NeurIPS 2024, 2024 | 4 | 2024 |
| AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments Y Zhang*, Y Li*, H Brown, M Rezaei, B Bischl, P Torr, A Khakzar, ... NeurIPS 2023 Workshop XAI in Action, 2023 | 1 | 2023 |
| Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models Y Li*, A Khakzar*, Y Zhang, M Sanisoglu, ST Kim, M Rezaei, B Bischl, ... ICML 2022 Workshop on Interpretable Machine Learning in Healthcare, 2022 | 1* | 2022 |
| Logistic Regression with Robust Bootstrapping Y Li, M Fauß, AM Zoubir 2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019 | 1 | 2019 |
| Calibrating LLMs with Information-Theoretic Evidential Deep Learning Y Li, D Rügamer, B Bischl, M Rezaei The Thirteenth International Conference on Learning Representations (ICLR), 2025 | | 2025 |
| A Dual-Perspective Approach to Evaluating Feature Attribution Methods Y Li, Y Zhang, K Kawaguchi, A Khakzar, B Bischl, M Rezaei Transactions on Machine Learning Research (TMLR), 2024 | | 2024 |
Yang ZhangNational University of Singaporecomp.nus.edu.sg의 이메일 확인됨