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AutoFT: Learning an Objective for Robust Fine-Tuning

AutoFT: Learning an Objective for Robust Fine-Tuning

18 January 2024
Caroline Choi
Yoonho Lee
Annie S. Chen
Allan Zhou
Aditi Raghunathan
Chelsea Finn
    OOD
ArXivPDFHTML

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

6 / 6 papers shown
Title
Trainable Projected Gradient Method for Robust Fine-tuning
Trainable Projected Gradient Method for Robust Fine-tuning
Junjiao Tian
Xiaoliang Dai
Chih-Yao Ma
Zecheng He
Yen-Cheng Liu
Z. Kira
43
30
0
19 Mar 2023
Diversify and Disambiguate: Learning From Underspecified Data
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
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
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
3,683
0
11 Feb 2021
Mixout: Effective Regularization to Finetune Large-scale Pretrained
  Language Models
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
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,319
0
05 Nov 2016
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