Offline Clustering Approach to Self-supervised Learning for Class-imbalanced Image Data

22 December 2022

Papers citing "Offline Clustering Approach to Self-supervised Learning for Class-imbalanced Image Data"

9 / 9 papers shown

Title
Divide and Contrast: Self-supervised Learning from Uncurated Data Yonglong Tian Olivier J. Hénaff Aaron van den Oord SSL 106 97 0 17 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 595 5,920 0 29 Apr 2021
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 213 3,992 0 20 Nov 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 191 4,051 0 17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 308 6,718 0 13 Jun 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 293 18,607 0 13 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 321 42,038 0 03 Dec 2019
A systematic study of the class imbalance problem in convolutional neural networks Mateusz Buda A. Maki Maciej A. Mazurowski 160 2,335 0 15 Oct 2017
Large Batch Training of Convolutional Networks Yang You Igor Gitman Boris Ginsburg ODL 116 844 0 13 Aug 2017