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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
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials
WACV 2023
Attribution-Aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
WACV 2023
SSFE-Net: Self-Supervised Feature Enhancement for Ultra-Fine-Grained Few-Shot Class Incremental Learning
WACV 2023
CLNeRF: Continual Learning Meets NeRF
ICCV 2023
Dealing With Cross-Task Class Discrimination in Online Continual Learning
CVPR 2023
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
WACV 2023
Do Pre-Trained Models Benefit Equally in Continual Learning?
WACV 2023
On the Effectiveness of Curriculum Learning in Educational Text Scoring
AAAI 2023
How To Prevent the Poor Performance Clients for Personalized Federated Learning?
CVPR 2023
Continual Learning With Dependency Preserving Hypernetworks
WACV 2023
Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework
NIPS 2023
A Robust Test for the Stationarity Assumption in Sequential Decision Making
ICML 2023
An Empirical Investigation of the Role of Pre-training in Lifelong Learning
JMLR 2023
Class Incremental Learning for Task-Oriented Dialogue System with Contrastive Distillation on Internal Representations (Student Abstract)
AAAI 2023
Continual Learning with Scaled Gradient Projection
AAAI 2023
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation
AAAI 2023
MetaGCD: Learning to Continually Learn in Generalized Category Discovery
ICCV 2023
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
AAAI 2023
Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages
EACL 2023
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation
RSS 2023
Balanced Meta Learning and Diverse Sampling for Lifelong Task-Oriented Dialogue Systems
AAAI 2023
In- or out-of-distribution detection via dual divergence estimation
UAI 2023
A Neural Span-Based Continual Named Entity Recognition Model
AAAI 2023
AUC Maximization in Imbalanced Lifelong Learning
UAI 2023
Lifelong bandit optimization: no prior and no regret
UAI 2023
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