RankMe: Assessing the downstream performance of pretrained
self-supervised representations by their rank

RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank

5 October 2022

Randall Balestriero

Papers citing "RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank"

10 / 10 papers shown

Title
Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training Kun Song Zhiquan Tan Bochao Zou Jiansheng Chen Huimin Ma Weiran Huang 21 0 0 25 Sep 2024
Towards Automatic Assessment of Self-Supervised Speech Models using Rank Zakaria Aldeneh Vimal Thilak Takuya Higuchi B. Theobald Tatiana Likhomanenko SSL 63 0 0 16 Sep 2024
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness Jaeill Kim Wonseok Lee Moonjung Eo Wonjong Rhee CLL 35 0 0 22 Mar 2024
Understanding Collapse in Non-Contrastive Siamese Representation Learning Alexander C. Li Alexei A. Efros Deepak Pathak SSL 32 33 0 29 Sep 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 255 5,353 0 11 Nov 2021
Decoupled Contrastive Learning Chun-Hsiao Yeh Cheng-Yao Hong Yen-Chi Hsu Tyng-Luh Liu Yubei Chen Yann LeCun 158 143 0 13 Oct 2021
Compressive Visual Representations Kuang-Huei Lee Anurag Arnab S. Guadarrama John F. Canny Ian S. Fischer SSL 36 44 0 27 Sep 2021
On Feature Decorrelation in Self-Supervised Learning Tianyu Hua Wenxiao Wang Zihui Xue Sucheng Ren Yue Wang Hang Zhao SSL OOD 104 163 0 02 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 4,299 0 29 Apr 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 229 3,029 0 09 Mar 2020