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Continual Learning
557 directly classified papers
Papers per year
2014: 2
2015: 1
2017: 6
2018: 6
2019: 14
2020: 39
2021: 65
2022: 84
2023: 102
2024: 105
2025: 130
2026: 3
Papers
Mixture Uniform Distribution Modeling and Asymmetric Mix Distillation for Class Incremental Learning
AAAI 2023
Continual Learning with Scaled Gradient Projection
AAAI 2023
Sparse Coding in a Dual Memory System for Lifelong Learning
AAAI 2023
Effective Continual Learning for Text Classification with Lightweight Snapshots
AAAI 2023
Rehearsal-free Continual Language Learning via Efficient Parameter Isolation
ACL 2023
Human Inspired Progressive Alignment and Comparative Learning for Grounded Word Acquisition
ACL 2023
Teamwork Is Not Always Good: An Empirical Study of Classifier Drift in Class-incremental Information Extraction
ACL 2023
Domain Incremental Lifelong Learning in an Open World
ACL 2023
Parameter-Efficient Finetuning for Robust Continual Multilingual Learning
ACL 2023
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection
ICML 2023
Online Prototype Learning for Online Continual Learning
ICCV 2023
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model
ICCV 2023
Online Continual Learning on Hierarchical Label Expansion
ICCV 2023
Does Continual Learning Equally Forget All Parameters?
ICML 2023
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer
IJCAI 2023
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
NIPS 2023
Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime
AISTATS 2023
Learning to Modulate pre-trained Models in RL
NIPS 2023
CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation
NIPS 2023
NPCL: Neural Processes for Uncertainty-Aware Continual Learning
NIPS 2023
Sustaining Fairness via Incremental Learning
AAAI 2023
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems
AAAI 2023
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces
AAAI 2023
Continually Improving Extractive QA via Human Feedback
EMNLP 2023
SKD-NER: Continual Named Entity Recognition via Span-based Knowledge Distillation with Reinforcement Learning
EMNLP 2023
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