Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting

19 June 2022

Papers citing "Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting"

5 / 5 papers shown

Title
Deep reinforcement learning with symmetric data augmentation applied for aircraft lateral attitude tracking control Yifei Li E. Kampen 27 0 0 13 Jul 2024
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation Muthuraman Chidambaram Rong Ge AAML 18 0 0 10 Feb 2024
Learning Rotation-Equivariant Features for Visual Correspondence Jongmin Lee Byung-soo Kim Seungwook Kim Minsu Cho SSL 11 23 0 25 Mar 2023
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang Robin G. Walters Rose Yu 25 73 0 28 Jan 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 172 1,100 0 27 Apr 2021