NEURIPS "continual learning" Papers
16 papers found
Are Greedy Task Orderings Better Than Random in Continual Linear Regression?
Matan Tsipory, Ran Levinstein, Itay Evron et al.
NEURIPS 2025posterarXiv:2510.19941
1
citations
Continual Knowledge Adaptation for Reinforcement Learning
Jinwu Hu, ZiHao Lian, Zhiquan Wen et al.
NEURIPS 2025posterarXiv:2510.19314
1
citations
Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity
Enneng Yang, Anke Tang, Li Shen et al.
NEURIPS 2025poster
Continuous Subspace Optimization for Continual Learning
Quan Cheng, Yuanyu Wan, Lingyu Wu et al.
NEURIPS 2025posterarXiv:2505.11816
1
citations
Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
Xusheng Cao, Haori Lu, Linlan Huang et al.
NEURIPS 2025posterarXiv:2503.18403
Learning Multi-Source and Robust Representations for Continual Learning
Fei Ye, Yongcheng Zhong, Qihe Liu et al.
NEURIPS 2025poster
LoRA vs Full Fine-tuning: An Illusion of Equivalence
Reece Shuttleworth, Jacob Andreas, Antonio Torralba et al.
NEURIPS 2025posterarXiv:2410.21228
58
citations
MemEIC: A Step Toward Continual and Compositional Knowledge Editing
Jin Seong, Jiyun Park, Wencke Liermann et al.
NEURIPS 2025posterarXiv:2510.25798
Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
Susmit Agrawal, Krishn Vishwas Kher, Saksham Mittal et al.
NEURIPS 2025posterarXiv:2512.00940
Nested Learning: The Illusion of Deep Learning Architectures
Ali Behrouz, Meisam Razaviyayn, Peilin Zhong et al.
NEURIPS 2025posterarXiv:2512.24695
12
citations
REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning
Sungho Jeon, Xinyue Ma, Kwang In Kim et al.
NEURIPS 2025posterarXiv:2406.04772
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