JOURNAL ARTICLE
Adapt and Feature Translation for Class-Incremental Learning with Pre-Trained Models
Keywords:
Computer science Translation (biology) Artificial intelligence Class (philosophy) Feature (linguistics) Natural language processing Machine learning
Metrics
1
Cited By
4.82
FWCI (Field Weighted Citation Impact)
28
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Intelligent Tutoring Systems and Adaptive Learning
Physical Sciences → Computer Science → Artificial Intelligence
Online Learning and Analytics
Physical Sciences → Computer Science → Computer Science Applications
Related Documents
JOURNAL ARTICLE
Class-Incremental Learning with Strong Pre-trained Models
Tz-Ying WuSwaminathan GurumurthyZhizhong LiAvinash RavichandranNuno VasconcelosRahul BhotikaStefano Soatto
Journal: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Year: 2022 Pages: 9591-9600
BOOK-CHAPTER
Adapt and Refine: A Few-Shot Class-Incremental Learner via Pre-Trained Models
Sunyuan QiangXiong ZhuYanyan LiangJun WanDu Zhang
Lecture notes in computer science Year: 2024 Pages: 431-444
BOOK-CHAPTER
Sample Difficulty-Aware Pre-trained Models for Class-Incremental Learning
S. X. LiShang XuShaowu WuXiaoping WuXiaoguang Niu
Communications in computer and information science Year: 2025 Pages: 196-211
JOURNAL ARTICLE
Class-Incremental Learning Based on Big Dataset Pre-Trained Models
Journal: IEEE Access Year: 2023 Vol: 11 Pages: 62028-62038
JOURNAL ARTICLE
Class incremental learning based on fine-tuning of pre-trained models
Year: 2025 Pages: 770-774