Class-Incremental Learning using Diffusion Model for Distillation and
Replay

Class-Incremental Learning using Diffusion Model for Distillation and Replay

30 June 2023

Quentin Jodelet

Papers citing "Class-Incremental Learning using Diffusion Model for Distillation and Replay"

9 / 9 papers shown

Title
Replay-Based Continual Learning with Dual-Layered Distillation and a Streamlined U-Net for Efficient Text-to-Image Generation Md. Naimur Asif Borno Md Sakib Hossain Shovon Asmaa Soliman Al-Moisheer Mohammad Ali Moni 29 0 0 11 May 2025
Replay to Remember (R2R): An Efficient Uncertainty-driven Unsupervised Continual Learning Framework Using Generative Replay Sriram Mandalika Harsha Vardhan Athira Nambiar VLM 60 0 0 07 May 2025
Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual Learning Zhongyi Zhou Yaxin Peng Pin Yi Minjie Zhu Chaomin Shen 118 0 0 04 Jan 2025
Efficient Non-Exemplar Class-Incremental Learning with Retrospective Feature Synthesis Liang Bai Hong Song Yucong Lin Tianyu Fu Deqiang Xiao Danni Ai Jingfan Fan Jian Yang CLL 36 0 0 03 Nov 2024
Low-Rank Continual Personalization of Diffusion Models Łukasz Staniszewski Katarzyna Zaleska Kamil Deja DiffM 39 0 0 07 Oct 2024
Future-Proofing Class-Incremental Learning Quentin Jodelet Xin Liu Yin Jun Phua Tsuyoshi Murata VLM 34 2 0 04 Apr 2024
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning Ruxiao Duan Yaoyao Liu Jieneng Chen Adam Kortylewski Alan L. Yuille DiffM VLM 25 1 0 30 Nov 2023
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang C. Miao Xiansheng Hua Hanwang Zhang CML 174 175 0 02 Mar 2021
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 39,194 0 01 Sep 2014