Continual Learning

Live and Learn: Continual Action Clustering with Incremental Views AAAI 2024 LLM-Evolve: Evaluation for LLM’s Evolving Capability on Benchmarks EMNLP 2024 LLMs Can Evolve Continually on Modality for X-Modal Reasoning NeurIPS 2024 Long-Tail Class Incremental Learning via Independent Sub-prototype Construction CVPR 2024 LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin ACL 2024 LSTKC: Long Short-Term Knowledge Consolidation for Lifelong Person Re-identification AAAI 2024 M2SD:Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning AAAI 2024 Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity IJCAI 2024 Make Continual Learning Stronger via C-Flat NeurIPS 2024 Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors COLING 2024 MELT: Materials-aware Continued Pre-training for Language Model Adaptation to Materials Science EMNLP 2024 Memory-Efficient Prompt Tuning for Incremental Histopathology Classification AAAI 2024 Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction ICLR 2024 Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning WACV 2024 Micro-Bench: A Microscopy Benchmark for Vision-Language Understanding NeurIPS 2024 MICS: Midpoint Interpolation To Learn Compact and Separated Representations for Few-Shot Class-Incremental Learning WACV 2024 MIND: Multi-Task Incremental Network Distillation AAAI 2024 Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning ACL 2024 Mitigating Catastrophic Forgetting in Language Transfer via Model Merging EMNLP 2024 Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal ACL 2024 Mixture of Experts Meets Prompt-Based Continual Learning NeurIPS 2024 Model Editing at Scale leads to Gradual and Catastrophic Forgetting ACL 2024 Model Sensitivity Aware Continual Learning NeurIPS 2024 MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning WACV 2024 More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs EMNLP 2024