Trainable Projected Gradient Method for Robust Fine-tuning

19 March 2023

Papers citing "Trainable Projected Gradient Method for Robust Fine-tuning"

6 / 6 papers shown

Title
Robust Learning of Diverse Code Edits Tushar Aggarwal Swayam Singh Abhijeet Awasthi Aditya Kanade Nagarajan Natarajan SyDa 151 0 0 05 Mar 2025
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning Bac Nguyen Stefan Uhlich Fabien Cardinaux Lukas Mauch Marzieh Edraki Aaron Courville OODD CLL VLM 54 3 0 03 Jul 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views Yuji Roh Qingyun Liu Huan Gui Zhe Yuan Yujin Tang ... Liang Liu Shuchao Bi Lichan Hong Ed H. Chi Zhe Zhao 43 1 0 07 Feb 2024
Universal Prompt Tuning for Graph Neural Networks Taoran Fang Yunchao Zhang Yang Yang Chunping Wang Lei Chen 22 47 0 30 Sep 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness Sang Michael Xie Ananya Kumar Robbie Jones Fereshte Khani Tengyu Ma Percy Liang OOD 163 62 0 08 Dec 2020