Blockwise Self-Supervised Learning at Scale

3 February 2023

Papers citing "Blockwise Self-Supervised Learning at Scale"

9 / 9 papers shown

Title
HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion Junhao Su Chenghao He Feiyu Zhu Xiaojie Xu Dongzhi Guan Chenyang Si 44 2 0 08 Jul 2024
Masked Image Modeling as a Framework for Self-Supervised Learning across Eye Movements Robin Weiler Matthias Brucklacher C. Pennartz Sander M. Bohté 31 0 0 12 Apr 2024
Backpropagation-free Training of Deep Physical Neural Networks Ali Momeni Babak Rahmani M. Malléjac Philipp del Hougne Romain Fleury AI4CE PINN 17 54 0 20 Apr 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 260 7,434 0 11 Nov 2021
Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks Mufeng Tang Yibo Yang Y. Amit SSL 11 7 0 30 Sep 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Debidatta Dwibedi Y. Aytar Jonathan Tompson P. Sermanet Andrew Zisserman SSL 183 450 0 29 Apr 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 303 5,773 0 29 Apr 2021
Local plasticity rules can learn deep representations using self-supervised contrastive predictions Bernd Illing Jean-Paul Ventura G. Bellec W. Gerstner SSL DRL 46 67 0 16 Oct 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,367 0 09 Mar 2020