Attention Prompt Tuning: Parameter-efficient Adaptation of Pre-trained Models for Spatiotemporal Modeling

11 March 2024

Papers citing "Attention Prompt Tuning: Parameter-efficient Adaptation of Pre-trained Models for Spatiotemporal Modeling"

6 / 6 papers shown

Title
Parameter-Efficient Fine-Tuning for Foundation Models Dan Zhang Tao Feng Lilong Xue Yuandong Wang Yuxiao Dong J. Tang 46 8 0 23 Jan 2025
Towards a Unified View on Visual Parameter-Efficient Transfer Learning Bruce X. B. Yu Jianlong Chang Lin Liu Qi Tian Changan Chen VPVLM VLM 68 34 0 03 Oct 2022
Transformer-based SAR Image Despeckling Malsha V. Perera W. G. C. Bandara Jeya Maria Jose Valanarasu Vishal M. Patel 97 38 0 23 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators Zhixing Tan Xiangwen Zhang Shuo Wang Yang Liu VLM LRM 213 52 0 13 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 2021