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DDA: Dimensionality Driven Augmentation Search for Contrastive Learning
  in Laparoscopic Surgery

DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery

3 June 2024
Yuning Zhou
H. Badgery
Matthew Read
James Bailey
Catherine E. Davey
ArXivPDFHTML

Papers citing "DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery"

11 / 11 papers shown
Title
Chaos is a Ladder: A New Theoretical Understanding of Contrastive
  Learning via Augmentation Overlap
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap
Yifei Wang
Qi Zhang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
42
100
0
25 Mar 2022
Understanding Dimensional Collapse in Contrastive Self-supervised
  Learning
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
Li Jing
Pascal Vincent
Yann LeCun
Yuandong Tian
SSL
106
346
0
18 Oct 2021
VICReg: Variance-Invariance-Covariance Regularization for
  Self-Supervised Learning
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Adrien Bardes
Jean Ponce
Yann LeCun
SSL
DML
115
917
0
11 May 2021
Are all negatives created equal in contrastive instance discrimination?
Are all negatives created equal in contrastive instance discrimination?
Tiffany Cai
Jonathan Frankle
D. Schwab
Ari S. Morcos
SSL
33
82
0
13 Oct 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
276
6,718
0
13 Jun 2020
Faster AutoAugment: Learning Augmentation Strategies using
  Backpropagation
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation
Ryuichiro Hataya
Jan Zdenek
Kazuki Yoshizoe
Hideki Nakayama
47
205
0
16 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
113
12,007
0
13 Nov 2019
Population Based Augmentation: Efficient Learning of Augmentation Policy
  Schedules
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
Daniel Ho
Eric Liang
Ion Stoica
Pieter Abbeel
Xi Chen
54
402
0
14 May 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and
  Expert Comparison
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin
Pranav Rajpurkar
M. Ko
Yifan Yu
Silviana Ciurea-Ilcus
...
D. Larson
C. Langlotz
Bhavik Patel
M. Lungren
A. Ng
89
2,568
0
21 Jan 2019
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
167
4,326
0
24 Jun 2018
AutoAugment: Learning Augmentation Policies from Data
AutoAugment: Learning Augmentation Policies from Data
E. D. Cubuk
Barret Zoph
Dandelion Mané
Vijay Vasudevan
Quoc V. Le
101
1,764
0
24 May 2018
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