Fast Trainable Projection for Robust Fine-Tuning

29 October 2023

Papers citing "Fast Trainable Projection for Robust Fine-Tuning"

9 / 9 papers shown

Title
Mitigating Forgetting in LLM Supervised Fine-Tuning and Preference Learning H. Fernando Han Shen Parikshit Ram Yi Zhou Horst Samulowitz Nathalie Baracaldo Tianyi Chen CLL 50 2 0 20 Oct 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization Yao Ni Shan Zhang Piotr Koniusz 90 2 0 25 Sep 2024
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
Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks Yen-Cheng Liu Chih-Yao Ma Junjiao Tian Zijian He Z. Kira 118 47 0 07 Oct 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning Prasetya Ajie Utama N. Moosavi Victor Sanh Iryna Gurevych AAML 56 35 0 09 Sep 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 322 2,249 0 02 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 298 5,761 0 29 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,835 0 18 Apr 2021