Continual Learning
408 papers
Papers per year
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1
2
5
12
31
43
43
56
74
69
71
'15
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'25
Papers
Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation
AAAI 2023
Deja Vu: Continual Model Generalization for Unseen Domains
ICLR 2023
Does Continual Learning Equally Forget All Parameters?
ICML 2023
Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework
NeurIPS 2023
Effective Continual Learning for Text Classification with Lightweight Snapshots
AAAI 2023
Endpoints Weight Fusion for Class Incremental Semantic Segmentation
CVPR 2023
Exploring Continual Learning for Code Generation Models
ACL 2023
Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation
CVPR 2023
Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation
CVPR 2023
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task
CVPR 2023
History repeats: Overcoming catastrophic forgetting for event-centric temporal knowledge graph completion
ACL 2023
Incrementer: Transformer for Class-Incremental Semantic Segmentation With Knowledge Distillation Focusing on Old Class
CVPR 2023
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference
AAAI 2023
Learning Dynamic Latent Spaces for Lifelong Generative Modelling
AAAI 2023
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images
AAAI 2023
Lifelong Person Re-identification via Knowledge Refreshing and Consolidation
AAAI 2023
Lifelong Variational Autoencoder via Online Adversarial Expansion Strategy
AAAI 2023
MECTA: Memory-Economic Continual Test-Time Model Adaptation
ICLR 2023
MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning
AAAI 2023
Online Bias Correction for Task-Free Continual Learning
ICLR 2023
On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm
NeurIPS 2023
Orthogonal Subspace Learning for Language Model Continual Learning
EMNLP 2023
Overcoming catastrophic forgetting with classifier expander
ACML 2023
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation
NeurIPS 2023
PIVOT: Prompting for Video Continual Learning
CVPR 2023