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An Empirical Study of Self-supervised Learning with Wasserstein Distance

An Empirical Study of Self-supervised Learning with Wasserstein Distance

16 October 2023
Makoto Yamada
Yuki Takezawa
Guillaume Houry
Kira Michaela Dusterwald
Deborah Sulem
Han Zhao
Yao-Hung Hubert Tsai
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Papers citing "An Empirical Study of Self-supervised Learning with Wasserstein Distance"

4 / 4 papers shown
Title
Understanding and Constructing Latent Modality Structures in Multi-modal
  Representation Learning
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning
Qian Jiang
Changyou Chen
Han Zhao
Liqun Chen
Q. Ping
S. D. Tran
Yi Xu
Belinda Zeng
Trishul M. Chilimbi
49
38
0
10 Mar 2023
Approximating 1-Wasserstein Distance with Trees
Approximating 1-Wasserstein Distance with Trees
M. Yamada
Yuki Takezawa
Ryoma Sato
Hang Bao
Zornitsa Kozareva
Sujith Ravi
52
8
0
24 Jun 2022
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
5,785
0
29 Apr 2021
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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