AutoFT: Learning an Objective for Robust Fine-Tuning

18 January 2024

Papers citing "AutoFT: Learning an Objective for Robust Fine-Tuning"

6 / 6 papers shown

Title
Trainable Projected Gradient Method for Robust Fine-tuning Junjiao Tian Xiaoliang Dai Chih-Yao Ma Zecheng He Yen-Cheng Liu Z. Kira 48 30 0 19 Mar 2023
Diversify and Disambiguate: Learning From Underspecified Data Yoonho Lee Huaxiu Yao Chelsea Finn 203 64 0 07 Feb 2022
A Fine-Grained Analysis on Distribution Shift Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 215 201 0 21 Oct 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 3,689 0 11 Feb 2021
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models Cheolhyoung Lee Kyunghyun Cho Wanmo Kang MoE 235 205 0 25 Sep 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016