Contrasting quadratic assignments for set-based representation learning

31 May 2022

Papers citing "Contrasting quadratic assignments for set-based representation learning"

32 / 32 papers shown

Title
ScaleNet: An Unsupervised Representation Learning Method for Limited Information Huili Huang M. M. Roozbahani SSL 93 804 0 03 Oct 2023
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning Adrien Bardes Jean Ponce Yann LeCun SSL DML 151 933 0 11 May 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 307 2,347 0 04 Mar 2021
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation T. Huynh Simon Kornblith Matthew R. Walter Michael Maire M. Khademi SSL 73 168 0 23 Nov 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 253 4,054 0 20 Nov 2020
Dense Contrastive Learning for Self-Supervised Visual Pre-Training Xinlong Wang Rufeng Zhang Chunhua Shen Tao Kong Lei Li SSL 77 684 0 18 Nov 2020
Intriguing Properties of Contrastive Losses Ting Chen Calvin Luo Lala Li 66 175 0 05 Nov 2020
A Survey on Contrastive Self-supervised Learning Ashish Jaiswal Ashwin Ramesh Babu Mohammad Zaki Zadeh Debapriya Banerjee F. Makedon SSL 127 1,393 0 31 Oct 2020
Whitening for Self-Supervised Representation Learning Aleksandr Ermolov Aliaksandr Siarohin E. Sangineto N. Sebe SSL 89 313 0 13 Jul 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 230 4,074 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 368 6,806 0 13 Jun 2020
Self-Supervised Relational Reasoning for Representation Learning Massimiliano Patacchiola Amos Storkey OOD SSL 53 63 0 10 Jun 2020
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere Tongzhou Wang Phillip Isola SSL 154 1,840 0 20 May 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 478 3,433 0 09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 366 18,752 0 13 Feb 2020
Self-Supervised Learning of Pretext-Invariant Representations Ishan Misra Laurens van der Maaten SSL VLM 103 1,453 0 04 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 199 12,074 0 13 Nov 2019
On Mutual Information Maximization for Representation Learning Michael Tschannen Josip Djolonga Paul Kishan Rubenstein Sylvain Gelly Mario Lucic SSL 174 495 0 31 Jul 2019
Revisiting Self-Supervised Visual Representation Learning Alexander Kolesnikov Xiaohua Zhai Lucas Beyer SSL 145 716 0 25 Jan 2019
Learning with Fenchel-Young Losses Mathieu Blondel André F. T. Martins Vlad Niculae 143 136 0 08 Jan 2019
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 320 2,662 0 20 Aug 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 320 10,302 0 10 Jul 2018
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms Mathieu Blondel André F. T. Martins Vlad Niculae FedML 35 39 0 24 May 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 252 3,290 0 21 Mar 2018
SparseMAP: Differentiable Sparse Structured Inference Vlad Niculae André F. T. Martins Mathieu Blondel Claire Cardie 43 123 0 12 Feb 2018
In Defense of the Triplet Loss for Person Re-Identification Alexander Hermans Lucas Beyer Bastian Leibe DML 78 3,206 0 22 Mar 2017
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 330 8,130 0 13 Aug 2016
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification André F. T. Martins Ramón Fernández Astudillo 176 725 0 05 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 362 19,660 0 09 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 677 31,512 0 16 Jan 2013