ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2101.08732
  4. Cited By
Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning
v1v2v3 (latest)

Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning

21 January 2021
Lang Huang
Chaoning Zhang
Hongyang R. Zhang
    SSL
ArXiv (abs)PDFHTMLGithub (128★)

Papers citing "Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning"

10 / 10 papers shown
Title
Towards understanding evolution of science through language model series
Towards understanding evolution of science through language model series
Junjie Dong
Zhuoqi Lyu
Qing Ke
AI4TS
175
0
0
15 Sep 2024
Local Masking Meets Progressive Freezing: Crafting Efficient Vision
  Transformers for Self-Supervised Learning
Local Masking Meets Progressive Freezing: Crafting Efficient Vision Transformers for Self-Supervised Learning
Utku Mert Topcuoglu
Erdem Akagündüz
83
1
0
02 Dec 2023
Green Hierarchical Vision Transformer for Masked Image Modeling
Green Hierarchical Vision Transformer for Masked Image Modeling
Lang Huang
Shan You
Mingkai Zheng
Fei Wang
Chao Qian
T. Yamasaki
125
72
0
26 May 2022
Learning Where to Learn in Cross-View Self-Supervised Learning
Learning Where to Learn in Cross-View Self-Supervised Learning
Lang Huang
Shan You
Mingkai Zheng
Fei Wang
Chao Qian
T. Yamasaki
SSL
60
43
0
28 Mar 2022
Weak Augmentation Guided Relational Self-Supervised Learning
Weak Augmentation Guided Relational Self-Supervised Learning
Mingkai Zheng
Shan You
Fei Wang
Chao Qian
Changshui Zhang
Xiaogang Wang
Chang Xu
83
5
0
16 Mar 2022
Combining Diverse Feature Priors
Combining Diverse Feature Priors
Saachi Jain
Dimitris Tsipras
Aleksander Madry
113
14
0
15 Oct 2021
ReSSL: Relational Self-Supervised Learning with Weak Augmentation
ReSSL: Relational Self-Supervised Learning with Weak Augmentation
Mingkai Zheng
Shan You
Fei Wang
Chao Qian
Changshui Zhang
Xiaogang Wang
Chang Xu
72
114
0
20 Jul 2021
Estimating the electrical power output of industrial devices with
  end-to-end time-series classification in the presence of label noise
Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise
Andrea Castellani
Sebastian Schmitt
Barbara Hammer
NoLa
132
20
0
01 May 2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample
  Prediction
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction
Mehdi Azabou
M. G. Azar
Ran Liu
Chi-Heng Lin
Erik C. Johnson
...
Lindsey Kitchell
Keith B. Hengen
William R. Gray Roncal
Michal Valko
Eva L. Dyer
AI4TS
85
57
0
19 Feb 2021
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
326
4,109
0
17 Jun 2020
1