Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning

22 April 2024

Papers citing "Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning"

7 / 7 papers shown

Title
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity Jaedong Hwang Zhang-Wei Hong Eric Chen Akhilan Boopathy Pulkit Agrawal Ila Fiete CLL 15 5 0 26 Oct 2023
Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation Chengwei Qin Junwon Lee Shafiq R. Joty CLL 43 11 0 15 Oct 2023
Saliency-Guided Hidden Associative Replay for Continual Learning Guangji Bai Qilong Zhao Xiaoyang Jiang Yifei Zhang Liang Zhao CLL 22 6 0 06 Oct 2023
Looking through the past: better knowledge retention for generative replay in continual learning Valeriya Khan Sebastian Cygert Kamil Deja Tomasz Trzciñski Bartlomiej Twardowski 16 7 0 18 Sep 2023
A Survey on Dataset Distillation: Approaches, Applications and Future Directions Jiahui Geng Zongxiong Chen Yuandou Wang Herbert Woisetschlaeger Sonja Schimmler Ruben Mayer Zhiming Zhao Chunming Rong DD 55 26 0 03 May 2023
SIESTA: Efficient Online Continual Learning with Sleep Md Yousuf Harun Jhair Gallardo Tyler L. Hayes Ronald Kemker Christopher Kanan CLL 43 18 0 19 Mar 2023
Dataset Condensation via Efficient Synthetic-Data Parameterization Jang-Hyun Kim Jinuk Kim Seong Joon Oh Sangdoo Yun Hwanjun Song Joonhyun Jeong Jung-Woo Ha Hyun Oh Song DD 375 155 0 30 May 2022