| List |
| Topic: | Kalibrace pravděpodobnostních klasifikátorů nad rámec top-1 predikce |
|---|---|
| Department: | Skupina vizuálního rozpoznávání |
| Supervisor: | prof. Ing. Jiří Matas, Ph.D. |
| Announce as: | Diplomová práce, Bakalářská práce, Semestrální projekt |
| Description: | Použijte Google Translate na anglické zadání.
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| Bibliography: | [1] Guo, Chuan, et al. "On calibration of modern neural networks." International Conference on Machine Learning. PMLR, 2017.Guo, Chuan, et al. "On calibration of modern neural networks." International Conference on Machine Learning. PMLR, 2017.
[2] Alexandari, Amr, Anshul Kundaje, and Avanti Shrikumar. "Maximum likelihood with bias-corrected calibration is hard-to-beat at label shift adaptation." International Conference on Machine Learning. PMLR, 2020. [3] Sipka, Tomas, Milan Sulc, and Jiri Matas. "The Hitchhiker's Guide to Prior-Shift Adaptation." arXiv preprint arXiv:2106.11695 (2021). [4] Vaicenavicius, Juozas, et al. "Evaluating model calibration in classification." The 22nd International Conference on Artificial Intelligence and Statistics. PMLR, 2019. [5] Kumar, Aviral, Sunita Sarawagi, and Ujjwal Jain. "Trainable calibration measures for neural networks from kernel mean embeddings." International Conference on Machine Learning. PMLR, 2018. |