NeurIPS 2024PastLarge language models
NeurIPS 2024 Workshop on Scalable Continual Learning for Lifelong Foundation Models
Continual FoMo
- Submission deadline
- Sep 22, 2024, 10:00 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (16)
Fetched from OpenReview (v2) on 2026-06-10.
A Practitioner's Guide to Continual Multimodal Pretraining
Agent Skill Acquisition for Large Language Models via CycleQD
Casper : Cascading Hypernetworks for Scalable Continual Learning
CLoG: Benchmarking Continual Learning of Image Generation Models
Continual Learning of Foundation Models with Limited Labelled Data
CUAL: Continual Uncertainty-aware Active Learner
Demystifying Language Model Forgetting with Low-Rank Example Associations
Differentially Private Continual Learning using Pre-Trained Models
Exploring Continual Fine-Tuning for Enhancing Language Ability in Large Language Model
Exploring the Limits of Feature Learning in Continual Learning
Foundation Models Meet Continual Learning: Recent Advances, Challenges, and Future Directions
Improving Multimodal Large Language Models Using Continual Learning
Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Testing the limits of data efficiency in experience replay
TiC-LM: A Multi-Year Benchmark for Continual Pretraining of Language Models