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Measuring Self-Supervised Representation Quality for Downstream
  Classification using Discriminative Features

Measuring Self-Supervised Representation Quality for Downstream Classification using Discriminative Features

3 March 2022
N. Kalibhat
Kanika Narang
Hamed Firooz
Maziar Sanjabi
S. Feizi
    SSL
ArXivPDFHTML

Papers citing "Measuring Self-Supervised Representation Quality for Downstream Classification using Discriminative Features"

11 / 11 papers shown
Title
Towards Automatic Assessment of Self-Supervised Speech Models using Rank
Towards Automatic Assessment of Self-Supervised Speech Models using Rank
Zakaria Aldeneh
Vimal Thilak
Takuya Higuchi
B. Theobald
Tatiana Likhomanenko
SSL
67
0
0
16 Sep 2024
Cluster-based pruning techniques for audio data
Cluster-based pruning techniques for audio data
Boris Bergsma
Marta Brzezinska
O. Yazyev
Milos Cernak
14
2
0
21 Sep 2023
Adapting Self-Supervised Representations to Multi-Domain Setups
Adapting Self-Supervised Representations to Multi-Domain Setups
N. Kalibhat
Sam Sharpe
Jeremy Goodsitt
Bayan Bruss
S. Feizi
21
0
0
07 Sep 2023
Identifying Interpretable Subspaces in Image Representations
Identifying Interpretable Subspaces in Image Representations
N. Kalibhat
S. Bhardwaj
Bayan Bruss
Hamed Firooz
Maziar Sanjabi
S. Feizi
FAtt
25
26
0
20 Jul 2023
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
Q. Garrido
Randall Balestriero
Laurent Najman
Yann LeCun
SSL
46
71
0
05 Oct 2022
Understanding Collapse in Non-Contrastive Siamese Representation
  Learning
Understanding Collapse in Non-Contrastive Siamese Representation Learning
Alexander C. Li
Alexei A. Efros
Deepak Pathak
SSL
40
33
0
29 Sep 2022
Toy Models of Superposition
Toy Models of Superposition
Nelson Elhage
Tristan Hume
Catherine Olsson
Nicholas Schiefer
T. Henighan
...
Sam McCandlish
Jared Kaplan
Dario Amodei
Martin Wattenberg
C. Olah
AAML
MILM
120
316
0
21 Sep 2022
Natural Language Descriptions of Deep Visual Features
Natural Language Descriptions of Deep Visual Features
Evan Hernandez
Sarah Schwettmann
David Bau
Teona Bagashvili
Antonio Torralba
Jacob Andreas
MILM
196
116
0
26 Jan 2022
With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
SSL
183
450
0
29 Apr 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
295
5,761
0
29 Apr 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,359
0
09 Mar 2020
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