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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
Rethinking Personalized Aesthetics Assessment: Employing Physique Aesthetics Assessment as An Exemplification
CVPR 2025
ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation
CVPR 2025
Language Guided Concept Bottleneck Models for Interpretable Continual Learning
CVPR 2025
1-800-SHARED-TASKS at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains
COLING 2025
Adapting Multilingual LLMs to Low-Resource Languages using Continued Pre-training and Synthetic Corpus: A Case Study for Hindi LLMs
COLING 2025
Attack on Prompt: Backdoor Attack in Prompt-Based Continual Learning
AAAI 2025
MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation
ACL 2025
Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning
AAAI 2025
Language Models Resist Alignment: Evidence From Data Compression
ACL 2025
Orthogonal Finetuning Made Scalable
EMNLP 2025
Multi-Stage LLM Fine-Tuning with a Continual Learning Setting
NAACL 2025
EfficientPIE: Real-Time Prediction on Pedestrian Crossing Intention with Sole Observation
IJCAI 2025
UNLEARN Efficient Removal of Knowledge in Large Language Models
NAACL 2025
Don’t Half-listen: Capturing Key-part Information in Continual Instruction Tuning
ACL 2025
Amuro & Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models
NAACL 2025
TinySubNets: An Efficient and Low Capacity Continual Learning Strategy
AAAI 2025
Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation
CVPR 2025
A Reality Check on Pre-training for Exemplar-free Class-Incremental Learning
WACV 2025
Memorization vs. Reasoning: Updating LLMs with New Knowledge
ACL 2025
Stratified Domain Adaptation: A Progressive Self-Training Approach for Scene Text Recognition
WACV 2025
Recurrent Knowledge Identification and Fusion for Language Model Continual Learning
ACL 2025
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection
WACV 2025
ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning
AAAI 2025
Serial Lifelong Editing via Mixture of Knowledge Experts
ACL 2025
Vector Quantization Prompting for Continual Learning
NIPS 2024
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