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← Learning Types
Machine Learning
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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
ViLCo-Bench: VIdeo Language COntinual learning Benchmark
NIPS 2024
HOP to the Next Tasks and Domains for Continual Learning in NLP
AAAI 2024
Continual Learning with Semi-supervised Contrastive Distillation for Incremental Neural Machine Translation
ACL 2024
Exploring Orthogonality in Open World Object Detection
CVPR 2024
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning
NIPS 2024
Efficient Continual Pre-training for Building Domain Specific Large Language Models
ACL 2024
Model Editing at Scale leads to Gradual and Catastrophic Forgetting
ACL 2024
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation
CVPR 2024
Continual Contrastive Spoken Language Understanding
ACL 2024
Continual Few-shot Relation Extraction via Adaptive Gradient Correction and Knowledge Decomposition
ACL 2024
A Two-Stage Adaptation of Large Language Models for Text Ranking
ACL 2024
Incremental Nuclei Segmentation from Histopathological Images via Future-class Awareness and Compatibility-inspired Distillation
CVPR 2024
Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors
COLING 2024
Lifelong Event Detection via Optimal Transport
EMNLP 2024
Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models
EMNLP 2024
Gradient Localization Improves Lifelong Pretraining of Language Models
EMNLP 2024
Joint Input and Output Coordination for Class-Incremental Learning
IJCAI 2024
RanDumb: Random Representations Outperform Online Continually Learned Representations
NIPS 2024
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild
ACL 2024
Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator
IJCAI 2024
Collaborative Learning across Heterogeneous Systems with Pre-Trained Models
AAAI 2024
Dual-Consistency Model Inversion for Non-Exemplar Class Incremental Learning
CVPR 2024
Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization
IJCAI 2024
HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents
EMNLP 2024
Fast and Continual Knowledge Graph Embedding via Incremental LoRA
IJCAI 2024
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