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