Self-supervised learning of Split Invariant Equivariant representations

14 February 2023

Papers citing "Self-supervised learning of Split Invariant Equivariant representations"

32 / 32 papers shown

Title
Towards a Unified Representation Evaluation Framework Beyond Downstream Tasks Christos Plachouras Julien Guinot George Fazekas Elio Quinton Emmanouil Benetos Johan Pauwels 50 1 0 09 May 2025
OWT: A Foundational Organ-Wise Tokenization Framework for Medical Imaging Sifan Song Siyeop Yoon Pengfei Jin Sekeun Kim Matthew Tivnan ... Zhiliang Lyu Dufan Wu Ning Guo Xiang Li Quanzheng Li OOD ViT 57 0 0 08 May 2025
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models Hafez Ghaemi Eilif Muller Shahab Bakhtiari 42 0 0 06 May 2025
Self-Supervised Learning based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation Qin Wang Benjamin Bruns Hanno Scharr Kai Krajsek 48 0 0 24 Mar 2025
Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA A. Atienza J. Bardram S. Puthusserypady 28 0 0 28 Feb 2025
MatrixNet: Learning over symmetry groups using learned group representations Lucas Laird Circe Hsu Asilata Bapat Robin Walters AI4CE 33 0 0 17 Jan 2025
Self-supervised Transformation Learning for Equivariant Representations Jaemyung Yu Jaehyun Choi Dong-Jae Lee H. Hong Junmo Kim 40 0 0 15 Jan 2025
Understanding the Role of Equivariance in Self-supervised Learning Yifei Wang Kaiwen Hu Sharut Gupta Ziyu Ye Yisen Wang Stefanie Jegelka SSL 34 2 0 10 Nov 2024
Learning Infinitesimal Generators of Continuous Symmetries from Data Gyeonghoon Ko Hyunsu Kim Juho Lee 29 1 0 29 Oct 2024
PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings Sutharsan Mahendren Saimunur Rahman Piotr Koniusz Tharindu Fernando S. Sridharan Clinton Fookes Peyman Moghadam 3DPC 21 0 0 24 Sep 2024
Affine steerers for structured keypoint description Georg Bökman Johan Edstedt Michael Felsberg Fredrik Kahl LLMSV 29 2 0 26 Aug 2024
Contrastive Learning Via Equivariant Representation Sifan Song Jinfeng Wang Qiaochu Zhao Xiang Li Dufan Wu Angelos Stefanidis Jionglong Su S. Kevin Zhou Quanzheng Li 22 1 0 01 Jun 2024
In-Context Symmetries: Self-Supervised Learning through Contextual World Models Sharut Gupta Chenyu Wang Yifei Wang Tommi Jaakkola Stefanie Jegelka 24 1 0 28 May 2024
Capsule Network Projectors are Equivariant and Invariant Learners Miles Everett A. Durrant Mingjun Zhong Georgios Leontidis SSL 3DPC 32 2 0 23 May 2024
Center-Based Relaxed Learning Against Membership Inference Attacks Xingli Fang Jung-Eun Kim 27 2 0 26 Apr 2024
Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection Deepti Hegde Suhas Lohit Kuan-Chuan Peng Michael J. Jones Vishal M. Patel 3DPC 37 0 0 17 Apr 2024
EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning Jongsuk Kim Hyeongkeun Lee Kyeongha Rho Junmo Kim Joon Son Chung 16 4 0 14 Mar 2024
Learning and Leveraging World Models in Visual Representation Learning Q. Garrido Mahmoud Assran Nicolas Ballas Adrien Bardes Laurent Najman Yann LeCun SSL 25 24 0 01 Mar 2024
Latent Space Symmetry Discovery Jianke Yang Nima Dehmamy Robin G. Walters Rose Yu 14 12 0 29 Sep 2023
PESTO: Pitch Estimation with Self-supervised Transposition-equivariant Objective Alain Riou Stefan Lattner Gaëtan Hadjeres Geoffroy Peeters 11 12 0 05 Sep 2023
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features Adrien Bardes Jean Ponce Yann LeCun MDE 26 23 0 24 Jul 2023
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations Grégoire Mialon Q. Garrido Hannah Lawrence Danyal Rehman Yann LeCun B. Kiani SSL 14 24 0 11 Jul 2023
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning Sharut Gupta Joshua Robinson Derek Lim Soledad Villar Stefanie Jegelka SSL 16 17 0 24 Jun 2023
Augmentation-aware Self-supervised Learning with Conditioned Projector Marcin Przewike'zlikowski Mateusz Pyla Bartosz Zieliñski Bartlomiej Twardowski Jacek Tabor Marek Śmieja SSL 14 2 0 31 May 2023
A Cookbook of Self-Supervised Learning Randall Balestriero Mark Ibrahim Vlad Sobal Ari S. Morcos Shashank Shekhar ... Pierre Fernandez Amir Bar Hamed Pirsiavash Yann LeCun Micah Goldblum SyDa FedML SSL 31 270 0 24 Apr 2023
Self-Supervised Learning for Place Representation Generalization across Appearance Changes M. A. Musallam Vincent Gaudillière Djamila Aouada SSL 22 2 0 04 Mar 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Decoupled Contrastive Learning Chun-Hsiao Yeh Cheng-Yao Hong Yen-Chi Hsu Tyng-Luh Liu Yubei Chen Yann LeCun 171 181 0 13 Oct 2021
Compressive Visual Representations Kuang-Huei Lee Anurag Arnab S. Guadarrama John F. Canny Ian S. Fischer SSL 57 48 0 27 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
Contrastive Learning Inverts the Data Generating Process Roland S. Zimmermann Yash Sharma Steffen Schneider Matthias Bethge Wieland Brendel SSL 236 206 0 17 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020