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Vision Models Are More Robust And Fair When Pretrained On Uncurated
  Images Without Supervision

Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision

16 February 2022
Priya Goyal
Quentin Duval
Isaac Seessel
Mathilde Caron
Ishan Misra
Levent Sagun
Armand Joulin
Piotr Bojanowski
    VLM
    SSL
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Papers citing "Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision"

22 / 22 papers shown
Title
Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition
Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition
Yash Jain
David M. Chan
Pranav Dheram
Aparna Khare
Olabanji Shonibare
Venkatesh Ravichandran
Shalini Ghosh
32
2
0
28 Mar 2024
DINOv2: Learning Robust Visual Features without Supervision
DINOv2: Learning Robust Visual Features without Supervision
Maxime Oquab
Timothée Darcet
Théo Moutakanni
Huy Q. Vo
Marc Szafraniec
...
Hervé Jégou
Julien Mairal
Patrick Labatut
Armand Joulin
Piotr Bojanowski
VLM
CLIP
SSL
78
3,017
0
14 Apr 2023
Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training
  Efficiency
Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency
Vithursan Thangarasa
Shreyas Saxena
Abhay Gupta
Sean Lie
21
3
0
21 Mar 2023
Overwriting Pretrained Bias with Finetuning Data
Overwriting Pretrained Bias with Finetuning Data
Angelina Wang
Olga Russakovsky
21
29
0
10 Mar 2023
Universal Object Detection with Large Vision Model
Universal Object Detection with Large Vision Model
Feng-Huei Lin
Wenze Hu
Yaowei Wang
Yonghong Tian
Guangming Lu
Fanglin Chen
Yong-mei Xu
Xiaoyu Wang
VLM
ObjD
32
8
0
19 Dec 2022
Manifestations of Xenophobia in AI Systems
Manifestations of Xenophobia in AI Systems
Nenad Tomašev
J. L. Maynard
Iason Gabriel
24
9
0
15 Dec 2022
Learning useful representations for shifting tasks and distributions
Learning useful representations for shifting tasks and distributions
Jianyu Zhang
Léon Bottou
OOD
29
13
0
14 Dec 2022
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
Peter Ebert Christensen
Vésteinn Snaebjarnarson
Andrea Dittadi
Serge J. Belongie
Sagie Benaim
AAML
23
1
0
17 Nov 2022
Okapi: Generalising Better by Making Statistical Matches Match
Okapi: Generalising Better by Making Statistical Matches Match
Myles Bartlett
Sara Romiti
V. Sharmanska
Novi Quadrianto
32
3
0
07 Nov 2022
Feature diversity in self-supervised learning
Feature diversity in self-supervised learning
Pranshu Malviya
Arjun Vaithilingam Sudhakar
SSL
LRM
10
2
0
02 Sep 2022
Federated Self-supervised Learning for Video Understanding
Federated Self-supervised Learning for Video Understanding
Yasar Abbas Ur Rehman
Yan Gao
Jiajun Shen
Pedro Porto Buarque de Gusmão
Nicholas D. Lane
FedML
17
15
0
05 Jul 2022
OmniMAE: Single Model Masked Pretraining on Images and Videos
OmniMAE: Single Model Masked Pretraining on Images and Videos
Rohit Girdhar
Alaaeldin El-Nouby
Mannat Singh
Kalyan Vasudev Alwala
Armand Joulin
Ishan Misra
ViT
27
97
0
16 Jun 2022
Masked Siamese ConvNets
Masked Siamese ConvNets
L. Jing
Jiachen Zhu
Yann LeCun
SSL
35
34
0
15 Jun 2022
A Meta-Analysis of Distributionally-Robust Models
A Meta-Analysis of Distributionally-Robust Models
Ben Feuer
Ameya Joshi
C. Hegde
OOD
VLM
30
3
0
15 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Hila Chefer
Idan Schwartz
Lior Wolf
ViT
27
37
0
02 Jun 2022
Self-supervised Learning for Sonar Image Classification
Self-supervised Learning for Sonar Image Classification
Alan Preciado-Grijalva
Bilal Wehbe
M. B. Firvida
Matias Valdenegro-Toro
SSL
30
16
0
20 Apr 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
290
7,434
0
11 Nov 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
303
5,773
0
29 Apr 2021
Fixing the train-test resolution discrepancy: FixEfficientNet
Fixing the train-test resolution discrepancy: FixEfficientNet
Hugo Touvron
Andrea Vedaldi
Matthijs Douze
Hervé Jégou
AAML
181
110
0
18 Mar 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
243
3,367
0
09 Mar 2020
Self-Supervised Feature Learning by Learning to Spot Artifacts
Self-Supervised Feature Learning by Learning to Spot Artifacts
Simon Jenni
Paolo Favaro
SSL
139
127
0
13 Jun 2018
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
288
10,214
0
16 Nov 2016
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