ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2403.05016
  4. Cited By
DiffClass: Diffusion-Based Class Incremental Learning

DiffClass: Diffusion-Based Class Incremental Learning

European Conference on Computer Vision (ECCV), 2024
8 March 2024
Zichong Meng
Jie Zhang
Changdi Yang
Zheng Zhan
Pu Zhao
Yanzhi Wang
    DiffMCLL
ArXiv (abs)PDFHTML

Papers citing "DiffClass: Diffusion-Based Class Incremental Learning"

11 / 11 papers shown
Title
VidCLearn: A Continual Learning Approach for Text-to-Video Generation
VidCLearn: A Continual Learning Approach for Text-to-Video Generation
Luca Zanchetta
Lorenzo Papa
Luca Maiano
Irene Amerini
DiffMVGen
92
0
0
21 Sep 2025
LoRA-Loop: Closing the Synthetic Replay Cycle for Continual VLM Learning
LoRA-Loop: Closing the Synthetic Replay Cycle for Continual VLM Learning
Kaihong Wang
Donghyun Kim
Margrit Betke
240
0
0
17 Jul 2025
Exemplar-Free Continual Learning for State Space Models
Exemplar-Free Continual Learning for State Space Models
Isaac Ning Lee
Leila Mahmoodi
Trung Le
Mehrtash Harandi
CLL
205
0
0
24 May 2025
Harmony: A Unified Framework for Modality Incremental Learning
Harmony: A Unified Framework for Modality Incremental Learning
Y. Song
Xiaoshan Yang
Shihong Deng
Yaowei Wang
Changsheng Xu
CLL
339
0
0
17 Apr 2025
Adaptive Additive Parameter Updates of Vision Transformers for Few-Shot Continual Learning
Adaptive Additive Parameter Updates of Vision Transformers for Few-Shot Continual Learning
Kyle Stein
A. Mahyari
Guillermo Francia III
Eman El-Sheikh
CLL
266
1
0
11 Apr 2025
Beyond Synthetic Replays: Turning Diffusion Features into Few-Shot Class-Incremental Learning Knowledge
Beyond Synthetic Replays: Turning Diffusion Features into Few-Shot Class-Incremental Learning Knowledge
Junsu Kim
Yunhoe Ku
Dongyoon Han
Seungryul Baek
DiffM
376
1
0
30 Mar 2025
Does Training with Synthetic Data Truly Protect Privacy?
Does Training with Synthetic Data Truly Protect Privacy?International Conference on Learning Representations (ICLR), 2025
Yunpeng Zhao
Jie Zhang
287
5
0
18 Feb 2025
On the Discrimination and Consistency for Exemplar-Free Class Incremental LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Tianqi Wang
Jingcai Guo
Depeng Li
Zhi Chen
67
3
0
28 Jan 2025
Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2024
Peihua Deng
Jiehua Zhang
Xichun Sheng
C. Yan
Yaoqi Sun
Ying Fu
Liang-Sheng Li
CLL
590
8
0
25 Nov 2024
Towards Incremental Learning in Large Language Models: A Critical Review
Towards Incremental Learning in Large Language Models: A Critical Review
M. Jovanovic
Peter Voss
ELMCLLKELM
520
8
0
28 Apr 2024
Future-Proofing Class-Incremental Learning
Future-Proofing Class-Incremental LearningMachine Vision and Applications (MVA), 2024
Quentin Jodelet
Xin Liu
Yin Jun Phua
Tsuyoshi Murata
VLM
460
5
0
04 Apr 2024
1