HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes

18 May 2023

Papers citing "HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes"

8 / 8 papers shown

Title
Hyperbolic Random Forests Lars Doorenbos Pablo Márquez-Neila Raphael Sznitman Pascal Mettes 16 5 0 25 Aug 2023
Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination Methods Mohammad Alkhalefi Georgios Leontidis Min Zhong SSL 87 2 0 28 Jun 2023
Muse: Text-To-Image Generation via Masked Generative Transformers Huiwen Chang Han Zhang Jarred Barber AJ Maschinot José Lezama ... Kevin Patrick Murphy William T. Freeman Michael Rubinstein Yuanzhen Li Dilip Krishnan DiffM 197 518 0 02 Jan 2023
LLEDA -- Lifelong Self-Supervised Domain Adaptation Mamatha Thota Dewei Yi Georgios Leontidis CLL 63 7 0 12 Nov 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 303 5,761 0 29 Apr 2021
BYOL works even without batch statistics Pierre Harvey Richemond Jean-Bastien Grill Florent Altché Corentin Tallec Florian Strub ... Samuel L. Smith Soham De Razvan Pascanu Bilal Piot Michal Valko SSL 242 114 0 20 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