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Continual Learning
1895 directly classified papers
Papers per year
2005: 1
2010: 1
2012: 1
2013: 4
2014: 7
2015: 6
2016: 4
2017: 25
2018: 35
2019: 75
2020: 126
2021: 202
2022: 221
2023: 362
2024: 351
2025: 353
2026: 121
Papers
eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation
AAAI 2024
Fast and Continual Knowledge Graph Embedding via Incremental LoRA
IJCAI 2024
Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement
AAAI 2024
Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models
EMNLP 2024
Adaptive Discovering and Merging for Incremental Novel Class Discovery
AAAI 2024
Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers
AAAI 2024
Adaptive Shortcut Debiasing for Online Continual Learning
AAAI 2024
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation
CVPR 2024
Cross-Class Feature Augmentation for Class Incremental Learning
AAAI 2024
Continual Learning for Motion Prediction Model via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy
CVPR 2024
Evolving Parameterized Prompt Memory for Continual Learning
AAAI 2024
Continual Contrastive Spoken Language Understanding
ACL 2024
MIND: Multi-Task Incremental Network Distillation
AAAI 2024
Revisiting Catastrophic Forgetting in Large Language Model Tuning
EMNLP 2024
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models
EMNLP 2024
Coherent Temporal Synthesis for Incremental Action Segmentation
CVPR 2024
SimCS: Simulation for Domain Incremental Online Continual Segmentation
AAAI 2024
Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models
EMNLP 2024
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models
EMNLP 2024
FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning
IJCAI 2024
Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark
AAAI 2024
CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models
EMNLP 2024
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
IJCAI 2024
Interactive Visual Task Learning for Robots
AAAI 2024
LLM-Evolve: Evaluation for LLM’s Evolving Capability on Benchmarks
EMNLP 2024
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