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2109.12909
Cited By
Compressive Visual Representations
27 September 2021
Kuang-Huei Lee
Anurag Arnab
S. Guadarrama
John F. Canny
Ian S. Fischer
SSL
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Papers citing
"Compressive Visual Representations"
17 / 17 papers shown
Title
Steinmetz Neural Networks for Complex-Valued Data
Shyam Venkatasubramanian
Ali Pezeshki
Vahid Tarokh
163
0
0
17 Feb 2025
ACE: Anatomically Consistent Embeddings in Composition and Decomposition
Ziyu Zhou
Haozhe Luo
M. Taher
Jiaxuan Pang
Xiaowei Ding
Michael B. Gotway
Jianming Liang
MedIm
47
0
0
20 Jan 2025
An Information Criterion for Controlled Disentanglement of Multimodal Data
Chenyu Wang
Sharut Gupta
Xinyi Zhang
Sana Tonekaboni
Stefanie Jegelka
Tommi Jaakkola
Caroline Uhler
DRL
37
1
0
31 Oct 2024
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
Nikolaos Giakoumoglou
Tania Stathaki
Athanasios Gkelias
SSL
59
1
0
08 May 2024
Learning Anatomically Consistent Embedding for Chest Radiography
Ziyu Zhou
Haozhe Luo
Jiaxuan Pang
Xiaowei Ding
Michael B. Gotway
Jianming Liang
SSL
9
5
0
01 Dec 2023
Understanding the limitations of self-supervised learning for tabular anomaly detection
Kimberly T. Mai
Toby O. Davies
Lewis D. Griffin
SSL
26
0
0
15 Sep 2023
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features
Adrien Bardes
Jean Ponce
Yann LeCun
MDE
31
23
0
24 Jul 2023
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images
K. Yu
Li Sun
Junxiang Chen
Maxwell Reynolds
Tigmanshu Chaudhary
Kayhan Batmanghelich
17
1
0
21 Feb 2023
Self-supervised learning of Split Invariant Equivariant representations
Q. Garrido
Laurent Najman
Yann LeCun
SSL
24
32
0
14 Feb 2023
Weighted Ensemble Self-Supervised Learning
Yangjun Ruan
Saurabh Singh
Warren Morningstar
Alexander A. Alemi
Sergey Ioffe
Ian S. Fischer
Joshua V. Dillon
FedML
22
15
0
18 Nov 2022
Self-Supervised Learning via Maximum Entropy Coding
Xin Liu
Zhongdao Wang
Yali Li
Shengjin Wang
SSL
15
39
0
20 Oct 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale
Kuang-Huei Lee
Ted Xiao
A. Li
Paul Wohlhart
Ian S. Fischer
Yao Lu
43
10
0
15 Oct 2022
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank
Q. Garrido
Randall Balestriero
Laurent Najman
Yann LeCun
SSL
46
72
0
05 Oct 2022
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence
Kyungmin Lee
Jinwoo Shin
SSL
DRL
27
10
0
12 Aug 2022
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection
Mohamed Yousef
Marcel R. Ackermann
Unmesh Kurup
Tom E. Bishop
OODD
OOD
26
3
0
19 Mar 2022
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
Nenad Tomašev
Ioana Bica
Brian McWilliams
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSL
74
80
0
13 Jan 2022
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
1