Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning

25 April 2023

Papers citing "Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning"

8 / 8 papers shown

Title
Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration Zhongzhi Yu Zheng Wang Yonggan Fu Huihong Shi Khalid Shaikh Yingyan Celine Lin 43 20 0 22 Jun 2024
Spatial-Temporal Large Language Model for Traffic Prediction Chenxi Liu Sun Yang Qianxiong Xu Zhishuai Li Cheng Long Ziyue Li Rui Zhao AI4TS 27 69 0 18 Jan 2024
Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning Yuzhong Chen Zhe Xiao Lin Zhao Lu Zhang Haixing Dai ... Tuo Zhang Changying Li Dajiang Zhu Tianming Liu Xi Jiang 44 18 0 20 May 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
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation Yao Qin Chiyuan Zhang Ting Chen Balaji Lakshminarayanan Alex Beutel Xuezhi Wang ViT 50 42 0 15 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 169 404 0 12 Oct 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 317 5,775 0 29 Apr 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 323 11,681 0 09 Mar 2017