Unsupervised Learning of Equivariant Structure from Sequences

12 October 2022

Papers citing "Unsupervised Learning of Equivariant Structure from Sequences"

10 / 10 papers shown

Title
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder Heeseung Jung Jaehyoung Jeong Kangil Kim CoGe 34 0 0 17 Jan 2024
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers Takeru Miyato Bernhard Jaeger Max Welling Andreas Geiger ViT 39 14 0 16 Oct 2023
Neural Fourier Transform: A General Approach to Equivariant Representation Learning Masanori Koyama Kenji Fukumizu Kohei Hayashi Takeru Miyato 37 8 0 29 May 2023
Noether Networks: Meta-Learning Useful Conserved Quantities Ferran Alet Dylan D. Doblar Allan Zhou J. Tenenbaum Kenji Kawaguchi Chelsea Finn 73 26 0 06 Dec 2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin G. Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 78 81 0 15 Sep 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas J. Guibas 3DPC 111 316 0 25 Apr 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
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction Vincent Le Guen Nicolas Thome AI4CE PINN 89 288 0 03 Mar 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 184 313 0 07 Feb 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014