On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning

16 July 2022

Papers citing "On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning"

6 / 6 papers shown

Title
A generalizable 3D framework and model for self-supervised learning in medical imaging Tony Xu Sepehr Hosseini Chris Anderson Anthony Rinaldi Rahul G. Krishnan Anne L. Martel Maged Goubran MedIm 45 3 0 20 Jan 2025
InfoNCE: Identifying the Gap Between Theory and Practice E. Rusak Patrik Reizinger Attila Juhos Oliver Bringmann Roland S. Zimmermann Wieland Brendel 33 5 0 28 Jun 2024
LDReg: Local Dimensionality Regularized Self-Supervised Learning Hanxun Huang R. Campello S. Erfani Xingjun Ma Michael E. Houle James Bailey 28 5 0 19 Jan 2024
Amortised Invariance Learning for Contrastive Self-Supervision Ruchika Chavhan H. Gouk Jan Stuehmer Calum Heggan Mehrdad Yaghoobi Timothy M. Hospedales SSL 35 11 0 24 Feb 2023
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification Jiancheng Yang Rui Shi D. Wei Zequan Liu Lin Zhao B. Ke Hanspeter Pfister Bingbing Ni VLM 168 647 0 27 Oct 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020