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Continual Learning

1895 directly classified papers

Papers per year

Papers

An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning WACV 2024
Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models ACL 2024
Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting EMNLP 2024
SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models EMNLP 2024
Kaizen: Practical Self-Supervised Continual Learning With Continual Fine-Tuning WACV 2024
LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models EMNLP 2024
PECoP: Parameter Efficient Continual Pretraining for Action Quality Assessment WACV 2024
Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization ACL 2024
DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting NIPS 2024
MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Science EMNLP 2024
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models EMNLP 2024
Steering Prototypes With Prompt-Tuning for Rehearsal-Free Continual Learning WACV 2024
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization EMNLP 2024
ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification Tasks ACL 2024
Expanding Hyperspherical Space for Few-Shot Class-Incremental Learning WACV 2024
Revisiting Catastrophic Forgetting in Large Language Model Tuning EMNLP 2024
HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents EMNLP 2024
LLM-Evolve: Evaluation for LLM’s Evolving Capability on Benchmarks EMNLP 2024
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models NIPS 2024
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models EMNLP 2024
SirLLM: Streaming Infinite Retentive LLM ACL 2024
CoGen: Learning from Feedback with Coupled Comprehension and Generation EMNLP 2024
Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models EMNLP 2024
ICL: Iterative Continual Learning for Multi-domain Neural Machine Translation EMNLP 2024
Gradient Localization Improves Lifelong Pretraining of Language Models EMNLP 2024