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PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis

PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis

23 May 2024
Satoki Ishikawa
Makoto Yamada
Han Bao
Yuki Takezawa
ArXivPDFHTML

Papers citing "PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis"

7 / 7 papers shown
Title
What shapes the loss landscape of self-supervised learning?
What shapes the loss landscape of self-supervised learning?
Liu Ziyin
Ekdeep Singh Lubana
Masakuni Ueda
Hidenori Tanaka
42
17
0
02 Oct 2022
Learning Fast, Learning Slow: A General Continual Learning Method based
  on Complementary Learning System
Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System
Elahe Arani
F. Sarfraz
Bahram Zonooz
CLL
54
121
0
29 Jan 2022
Representational Continuity for Unsupervised Continual Learning
Representational Continuity for Unsupervised Continual Learning
Divyam Madaan
Jaehong Yoon
Yuanchun Li
Yunxin Liu
Sung Ju Hwang
CLL
SSL
48
110
0
13 Oct 2021
DualNet: Continual Learning, Fast and Slow
DualNet: Continual Learning, Fast and Slow
Quang-Cuong Pham
Chenghao Liu
S. Hoi
CLL
52
42
0
01 Oct 2021
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
283
5,723
0
29 Apr 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
130
258
0
12 Feb 2021
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
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