Not All Models Are Equal: Predicting Model Transferability in a
Self-challenging Fisher Space

Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space

7 July 2022

Ying Shan

Ping Luo

Papers citing "Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space"

8 / 8 papers shown

Title
ETran: Energy-Based Transferability Estimation Mohsen Gholami Mohammad Akbari Xinglu Wang Behnam Kamranian Yong Zhang 23 9 0 03 Aug 2023
Dynamic Token Normalization Improves Vision Transformers Wenqi Shao Yixiao Ge Zhaoyang Zhang Xuyuan Xu Xiaogang Wang Ying Shan Ping Luo ViT 121 11 0 05 Dec 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 875 0 21 Oct 2021
Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs Kaichao You Yong Liu Ziyang Zhang Jianmin Wang Michael I. Jordan Mingsheng Long 110 30 0 20 Oct 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 314 5,775 0 29 Apr 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 277 3,622 0 24 Feb 2021
Domain Adaptive Ensemble Learning Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang OOD 137 273 0 16 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020