Exploring Data Geometry for Continual Learning

Exploring Data Geometry for Continual Learning

8 April 2023

Mehrtash Harandi

Papers citing "Exploring Data Geometry for Continual Learning"

7 / 7 papers shown

Title
Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds Huitong Chen Yu Wang Yan Fan Guosong Jiang Q. Hu CLL 44 0 0 22 Mar 2025
Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space Max van Spengler Pascal Mettes 57 0 0 24 Feb 2025
Product Geometries on Cholesky Manifolds with Applications to SPD Manifolds Ziheng Chen Yue Song Xiao-Jun Wu N. Sebe 24 2 0 02 Jul 2024
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy Everton L. Aleixo J. Colonna Marco Cristo Everlandio Fernandes CLL 47 19 0 16 Dec 2023
Hyperbolic Deep Learning in Computer Vision: A Survey Pascal Mettes Mina Ghadimi Atigh Martin Keller-Ressel Jeffrey Gu Serena Yeung 28 38 0 11 May 2023
Switch Spaces: Learning Product Spaces with Sparse Gating Shuai Zhang Yi Tay Wenqi Jiang Da-Cheng Juan Ce Zhang 47 7 0 17 Feb 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016