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Continual Learning

1895 directly classified papers

Papers per year

Papers

Persistence Homology Distillation for Semi-supervised Continual Learning NIPS 2024
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments NIPS 2024
Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models EMNLP 2024
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation CVPR 2024
Generative Multi-modal Models are Good Class Incremental Learners CVPR 2024
Gradient Localization Improves Lifelong Pretraining of Language Models EMNLP 2024
MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Science EMNLP 2024
HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents EMNLP 2024
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization EMNLP 2024
ICL: Iterative Continual Learning for Multi-domain Neural Machine Translation EMNLP 2024
Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models EMNLP 2024
Revisiting Catastrophic Forgetting in Large Language Model Tuning EMNLP 2024
Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following NIPS 2024
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models EMNLP 2024
Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning WACV 2024
Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment NIPS 2024
LLM-Evolve: Evaluation for LLM’s Evolving Capability on Benchmarks EMNLP 2024
Make Continual Learning Stronger via C-Flat NIPS 2024
CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models EMNLP 2024
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models EMNLP 2024
Lifelong Event Detection via Optimal Transport EMNLP 2024
Coherent Temporal Synthesis for Incremental Action Segmentation CVPR 2024
Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator IJCAI 2024
Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer CVPR 2024
A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models EMNLP 2024