NeurIPS 2025 "continual learning" Papers
6 papers found
Continual Knowledge Adaptation for Reinforcement Learning
Jinwu Hu, ZiHao Lian, Zhiquan Wen et al.
NeurIPS 2025posterarXiv:2510.19314
1
citations
Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
Shikuang Deng, Jiayuan Zhang, Yuhang Wu et al.
NeurIPS 2025posterarXiv:2510.14810
Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs
Jun Wang, Liang Ding, Shuai Wang et al.
NeurIPS 2025poster
The World Is Bigger: A Computationally-Embedded Perspective on the Big World Hypothesis
Alex Lewandowski, Aditya Ramesh, Edan Meyer et al.
NeurIPS 2025spotlightarXiv:2512.23419
Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning
Haomiao Qiu, Miao Zhang, Ziyue Qiao et al.
NeurIPS 2025posterarXiv:2505.22389
Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning
Chaoyang Li, Runze Ye, Jianyang Qin et al.
NeurIPS 2025poster