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Improving Transferability of Representations via Augmentation-Aware
  Self-Supervision

Improving Transferability of Representations via Augmentation-Aware Self-Supervision

18 November 2021
Hankook Lee
Kibok Lee
Kimin Lee
Honglak Lee
Jinwoo Shin
    SSL
ArXivPDFHTML

Papers citing "Improving Transferability of Representations via Augmentation-Aware Self-Supervision"

17 / 17 papers shown
Title
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
Hafez Ghaemi
Eilif Muller
Shahab Bakhtiari
49
0
0
06 May 2025
InfoNCE: Identifying the Gap Between Theory and Practice
InfoNCE: Identifying the Gap Between Theory and Practice
E. Rusak
Patrik Reizinger
Attila Juhos
Oliver Bringmann
Roland S. Zimmermann
Wieland Brendel
33
5
0
28 Jun 2024
A deep cut into Split Federated Self-supervised Learning
A deep cut into Split Federated Self-supervised Learning
Marcin Przewiȩźlikowski
Marcin Osial
Bartosz Zieliñski
Marek 'Smieja
FedML
38
0
0
12 Jun 2024
Amortised Invariance Learning for Contrastive Self-Supervision
Amortised Invariance Learning for Contrastive Self-Supervision
Ruchika Chavhan
H. Gouk
Jan Stuehmer
Calum Heggan
Mehrdad Yaghoobi
Timothy M. Hospedales
SSL
32
11
0
24 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
19
32
0
14 Feb 2023
Contrastive Learning with Consistent Representations
Contrastive Learning with Consistent Representations
Zihu Wang
Yu Wang
Hanbin Hu
Peng Li
CLL
24
5
0
03 Feb 2023
Robust Perception through Equivariance
Robust Perception through Equivariance
Chengzhi Mao
Lingyu Zhang
Abhishek Joshi
Junfeng Yang
Hongya Wang
Carl Vondrick
BDL
AAML
24
7
0
12 Dec 2022
Self-Supervised Learning via Maximum Entropy Coding
Self-Supervised Learning via Maximum Entropy Coding
Xin Liu
Zhongdao Wang
Yali Li
Shengjin Wang
SSL
10
39
0
20 Oct 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
Hebbian Deep Learning Without Feedback
Hebbian Deep Learning Without Feedback
Adrien Journé
Hector Garcia Rodriguez
Qinghai Guo
Timoleon Moraitis
AAML
18
48
0
23 Sep 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from
  Pixels?
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?
Xiang Li
Jinghuan Shang
Srijan Das
Michael S. Ryoo
SSL
25
31
0
10 Jun 2022
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
Liang Hou
Qi Cao
Yige Yuan
Songtao Zhao
Chongyang Ma
Siyuan Pan
Pengfei Wan
Xiaoshuang Li
Huawei Shen
Xueqi Cheng
16
7
0
31 May 2022
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and
  Semi-Supervised Semantic Segmentation
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation
Junwen Pan
Pengfei Zhu
Kaihua Zhang
Bing Cao
Yu Wang
Dingwen Zhang
Junwei Han
Q. Hu
13
60
0
19 Mar 2022
SEED: Self-supervised Distillation For Visual Representation
SEED: Self-supervised Distillation For Visual Representation
Zhiyuan Fang
Jianfeng Wang
Lijuan Wang
Lei Zhang
Yezhou Yang
Zicheng Liu
SSL
231
190
0
12 Jan 2021
Self-supervised Co-training for Video Representation Learning
Self-supervised Co-training for Video Representation Learning
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
204
308
0
19 Oct 2020
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
280
339
0
14 Sep 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
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