Li, Kaican;
Xie, Weiyan;
Huang, Yongxiang;
Deng, Didan;
Hong, Lanqing;
Li, Zhenguo;
Silva, Ricardo;
(2024)
Dual Risk Minimization: Towards Next-Level
Robustness in Fine-tuning Zero-Shot Models.
In:
Proceedings of NeurIPS 2024: Thirty-Eighth Annual Conference on Neural Information Processing Systems.
NeurIPS: San Diego, CA, USA.
(In press).
Text
4_Dual_Risk_Minimization_Towar.pdf - Accepted Version Access restricted to UCL open access staff until 1 May 2025. Download (1MB) |
Type: | Proceedings paper |
---|---|
Title: | Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models |
Event: | NeurIPS 2024: Thirty-Eighth Annual Conference on Neural Information Processing Systems |
Publisher version: | https://neurips.cc/ |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10199062 |
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