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Pushing the limits of self-supervised ResNets: Can we outperform
  supervised learning without labels on ImageNet?

Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?

13 January 2022
Nenad Tomašev
Ioana Bica
Brian McWilliams
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
    SSL
ArXivPDFHTML

Papers citing "Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?"

28 / 28 papers shown
Title
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning
Amadou S. Sangare
Nicolas Dunou
Jhony H. Giraldo
Fragkiskos D. Malliaros
SSL
62
0
0
28 Feb 2025
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
Nikolaos Giakoumoglou
Tania Stathaki
Athanasios Gkelias
SSL
64
1
0
08 May 2024
Incorporating simulated spatial context information improves the
  effectiveness of contrastive learning models
Incorporating simulated spatial context information improves the effectiveness of contrastive learning models
Lizhen Zhu
James Z. Wang
Wonseuk Lee
Bradley P. Wyble
40
2
0
26 Jan 2024
Enhancing Contrastive Learning with Efficient Combinatorial Positive
  Pairing
Enhancing Contrastive Learning with Efficient Combinatorial Positive Pairing
Jaeill Kim
Duhun Hwang
Eunjung Lee
Jangwon Suh
Jimyeong Kim
Wonjong Rhee
33
0
0
11 Jan 2024
Splicing Up Your Predictions with RNA Contrastive Learning
Splicing Up Your Predictions with RNA Contrastive Learning
Phil Fradkin
Ruian Shi
Bo Wang
Brendan Frey
Leo J. Lee
SSL
26
0
0
12 Oct 2023
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised
  Learning of Motion and Content Features
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features
Adrien Bardes
Jean Ponce
Yann LeCun
MDE
33
23
0
24 Jul 2023
Interventional Bag Multi-Instance Learning On Whole-Slide Pathological
  Images
Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images
Tiancheng Lin
Zhimiao Yu
Hongyu Hu
Yi Xu
Changyi Chen
54
77
0
13 Mar 2023
Neural Algorithmic Reasoning with Causal Regularisation
Neural Algorithmic Reasoning with Causal Regularisation
Beatrice Bevilacqua
Kyriacos Nikiforou
Borja Ibarz
Ioana Bica
Michela Paganini
Charles Blundell
Jovana Mitrović
Petar Velivcković
OOD
CML
NAI
36
26
0
20 Feb 2023
Evaluating Representations with Readout Model Switching
Evaluating Representations with Readout Model Switching
Yazhe Li
J. Bornschein
Marcus Hutter
27
0
0
19 Feb 2023
Self-supervised learning of Split Invariant Equivariant representations
Self-supervised learning of Split Invariant Equivariant representations
Q. Garrido
Laurent Najman
Yann LeCun
SSL
26
32
0
14 Feb 2023
GEDI: GEnerative and DIscriminative Training for Self-Supervised
  Learning
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning
Emanuele Sansone
Robin Manhaeve
SSL
20
9
0
27 Dec 2022
Weighted Ensemble Self-Supervised Learning
Weighted Ensemble Self-Supervised Learning
Yangjun Ruan
Saurabh Singh
Warren Morningstar
Alexander A. Alemi
Sergey Ioffe
Ian S. Fischer
Joshua V. Dillon
FedML
24
15
0
18 Nov 2022
Local Manifold Augmentation for Multiview Semantic Consistency
Local Manifold Augmentation for Multiview Semantic Consistency
Yu Yang
Wing Yin Cheung
Chang-rui Liu
Xiang Ji
31
1
0
05 Nov 2022
Self-Supervised Learning Through Efference Copies
Self-Supervised Learning Through Efference Copies
Franz Scherr
Qinghai Guo
Timoleon Moraitis
19
10
0
17 Oct 2022
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
48
72
0
05 Oct 2022
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual
  Pre-training Methods
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods
Skanda Koppula
Yazhe Li
Evan Shelhamer
Andrew Jaegle
Nikhil Parthasarathy
Relja Arandjelović
João Carreira
Olivier J. Hénaff
33
9
0
30 Sep 2022
Slimmable Networks for Contrastive Self-supervised Learning
Slimmable Networks for Contrastive Self-supervised Learning
Shuai Zhao
Xiaohan Wang
Linchao Zhu
Yi Yang
27
1
0
30 Sep 2022
Hebbian Deep Learning Without Feedback
Hebbian Deep Learning Without Feedback
Adrien Journé
Hector Garcia Rodriguez
Qinghai Guo
Timoleon Moraitis
AAML
20
48
0
23 Sep 2022
Object discovery and representation networks
Object discovery and representation networks
Olivier J. Hénaff
Skanda Koppula
Evan Shelhamer
Daniel Zoran
Andrew Jaegle
Andrew Zisserman
João Carreira
Relja Arandjelović
44
87
0
16 Mar 2022
Provable Stochastic Optimization for Global Contrastive Learning: Small
  Batch Does Not Harm Performance
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
Zhuoning Yuan
Yuexin Wu
Zi-qi Qiu
Xianzhi Du
Lijun Zhang
Denny Zhou
Tianbao Yang
32
26
0
24 Feb 2022
On the Surrogate Gap between Contrastive and Supervised Losses
On the Surrogate Gap between Contrastive and Supervised Losses
Han Bao
Yoshihiro Nagano
Kento Nozawa
SSL
UQCV
41
19
0
06 Oct 2021
ResNet strikes back: An improved training procedure in timm
ResNet strikes back: An improved training procedure in timm
Ross Wightman
Hugo Touvron
Hervé Jégou
AI4TS
212
487
0
01 Oct 2021
Compressive Visual Representations
Compressive Visual Representations
Kuang-Huei Lee
Anurag Arnab
S. Guadarrama
John F. Canny
Ian S. Fischer
SSL
65
48
0
27 Sep 2021
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
188
453
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
317
5,775
0
29 Apr 2021
High-Performance Large-Scale Image Recognition Without Normalization
High-Performance Large-Scale Image Recognition Without Normalization
Andrew Brock
Soham De
Samuel L. Smith
Karen Simonyan
VLM
223
512
0
11 Feb 2021
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
253
656
0
23 Mar 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,371
0
09 Mar 2020
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