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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
Federated Incremental Named Entity Recognition
COLING 2025
Dynamic-prototype Contrastive Fine-tuning for Continual Few-shot Relation Extraction with Unseen Relation Detection
COLING 2025
Neuroplasticity and Corruption in Model Mechanisms: A Case Study Of Indirect Object Identification
NAACL 2025
Multi-granularity Knowledge Transfer for Continual Reinforcement Learning
IJCAI 2025
Online-LoRA: Task-Free Online Continual Learning via Low Rank Adaptation
WACV 2025
Supervised Learning with Evolving Tasks and Performance Guarantees
JMLR 2025
Memory-Efficient Continual Learning with Neural Collapse Contrastive
WACV 2025
One VLM to Keep it Learning: Generation and Balancing for Data-Free Continual Visual Question Answering
WACV 2025
Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning
AAAI 2025
Fully Test-Time Adaptation for Feature Decrement in Tabular Data
IJCAI 2025
Federated-Continual Dynamic Segmentation of Histopathology Guided by Barlow Continuity
WACV 2025
Continual Unsupervised Generative Modelling via Online Optimal Transport
AAAI 2025
Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data
IJCAI 2025
Specifying What You Know or Not for Multi-Label Class-Incremental Learning
AAAI 2025
Semantic Prompting with Image Token for Continual Learning
WACV 2025
CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering
WACV 2025
ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning
AAAI 2025
TinySubNets: An Efficient and Low Capacity Continual Learning Strategy
AAAI 2025
PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation
AAAI 2025
Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning
AAAI 2025
Attack on Prompt: Backdoor Attack in Prompt-Based Continual Learning
AAAI 2025
PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning
AAAI 2025
Continual Learning of Personalized Generative Face Models with Experience Replay
WACV 2025
Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning
AAAI 2025
MicroEdit: Neuron-level Knowledge Disentanglement and Localization in Lifelong Model Editing
EMNLP 2025
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