Self-Supervised Learning with Kernel Dependence Maximization

15 June 2021

Papers citing "Self-Supervised Learning with Kernel Dependence Maximization"

20 / 20 papers shown

Title
Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application Gonzalo Iñaki Quintana Laurence Vancamberg Vincent Jugnon Agnès Desolneux Mathilde Mougeot MedIm 48 1 0 28 Jan 2025
Learning Deep Kernels for Non-Parametric Independence Testing Nathaniel Xu Feng Liu Danica J. Sutherland BDL 31 0 0 10 Sep 2024
Denoising Autoregressive Representation Learning Yazhe Li J. Bornschein Ting Chen DiffM 32 3 0 08 Mar 2024
Graph Contrastive Topic Model Zheheng Luo Lei Liu Qianqian Xie Sophia Ananiadou 16 2 0 05 Jul 2023
Denoising Cosine Similarity: A Theory-Driven Approach for Efficient Representation Learning Takumi Nakagawa Y. Sanada Hiroki Waida Yuhui Zhang Yuichiro Wada K. Takanashi Tomonori Yamada Takafumi Kanamori DiffM 19 5 0 19 Apr 2023
Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head Randall Balestriero 38 3 0 20 Feb 2023
Evaluating Representations with Readout Model Switching Yazhe Li J. Bornschein Marcus Hutter 27 0 0 19 Feb 2023
MMD-B-Fair: Learning Fair Representations with Statistical Testing Namrata Deka Danica J. Sutherland 15 6 0 15 Nov 2022
VIBUS: Data-efficient 3D Scene Parsing with VIewpoint Bottleneck and Uncertainty-Spectrum Modeling Beiwen Tian Liyi Luo Hao Zhao Guyue Zhou 17 23 0 20 Oct 2022
Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations Grégoire Mialon Randall Balestriero Yann LeCun 24 9 0 29 Sep 2022
Measuring Statistical Dependencies via Maximum Norm and Characteristic Functions P. Daniušis Shubham Juneja Lukas Kuzma Virginijus Marcinkevičius 28 1 0 16 Aug 2022
Self-supervised learning with rotation-invariant kernels Léon Zheng Gilles Puy E. Riccietti Patrick Pérez Rémi Gribonval SSL 9 2 0 28 Jul 2022
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 19 4 0 18 Apr 2022
On the Surrogate Gap between Contrastive and Supervised Losses Han Bao Yoshihiro Nagano Kento Nozawa SSL UQCV 37 19 0 06 Oct 2021
Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck Liyi Luo Beiwen Tian Hao Zhao Guyue Zhou 3DPC 19 9 0 17 Sep 2021
Deep Bregman Divergence for Contrastive Learning of Visual Representations Mina Rezaei Farzin Soleymani B. Bischl Shekoofeh Azizi SSL 44 16 0 15 Sep 2021
Contrastive Learning Inverts the Data Generating Process Roland S. Zimmermann Yash Sharma Steffen Schneider Matthias Bethge Wieland Brendel SSL 238 207 0 17 Feb 2021
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning Kento Nozawa Issei Sato SSL 18 43 0 13 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020
Measuring and testing dependence by correlation of distances G. Székely Maria L. Rizzo N. K. Bakirov 175 2,577 0 28 Mar 2008