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The foundational work on continual learning, 1959 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

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2020 IEEE Access Clear all

2020
SPACE: Structured Compression and Sharing of Representational Space for Continual LearningGobinda Saha, Isha Garg, Aayush Ankit, Kaushik RoyIEEE Access · Purdue University West Lafayette
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2020
An Open-Ended Continual Learning for Food Recognition Using Class Incremental Extreme Learning MachinesGhalib Ahmed Tahir, Chu Kiong LooIEEE Access · University of Malaya
2020
Smart User Consumption Profiling: Incremental Learning-Based OTT Service DegradationJuan Sebastián Rojas, Adrián Pekár, Álvaro Rendón Gallón, Juan Carlos CorralesIEEE Access · University of Cauca · Budapest University of Technology and Economics
2020
Unsupervised Genre-Based Multidomain Sentiment Lexicon Learning Using Corpus-Generated Polarity Seed WordsSwati Sanagar, Deepa GuptaIEEE Access · Amrita Vishwa Vidyapeetham
2020
Sparse Bayesian Broad Learning System for Probabilistic Estimation of PredictionLili Xu, C. L. Philip Chen, Ruizhi HanIEEE Access · University of Macau · Beijing Normal University · +2
2020
Efficient and Robust Syslog Parsing for Network Devices in Datacenter NetworksShenglin Zhang, Ying Liu, Weibin Meng … Ming ZhangIEEE Access · Nankai University · Baidu (China) · +5
2020
CODES: Efficient Incremental Semi-Supervised Classification Over Drifting and Evolving Social StreamsXin Bi, Chao Zhang, Xiangguo Zhao … Yuliang MaIEEE Access · Northeastern University
2020
Efficient Incremental Learning Using Dynamic Correction VectorYun Xiang, Yongbiao Miao, Jingyin Chen, Qi XuanIEEE Access · Zhejiang University of Technology · Zhejiang Lab
2020
A Novel Broad Learning Model-Based Semi-Supervised Image Classification MethodJianjie Zheng, Yu Yuan, Huimin Zhao, Wu DengIEEE Access · Dalian Jiaotong University · Chongqing University · +2
2020
An Accelerated Edge Cloud System for Energy Data Stream Processing Based on Adaptive Incremental Deep Learning SchemeSeong-Hwan Kim, Changha Lee, Chan‐Hyun YounIEEE Access · Korea Advanced Institute of Science and Technology
2020
Cloud-Edge Fusion Based Abnormal Object Detection of Power Transmission Lines Using Incremental LearningShuhua Zhang, Jiye Wang, Jie Tong … Minghao ZhangIEEE Access · North China Electric Power University · China Electric Power Research Institute
2020
Exemplar-Supported Representation for Effective Class-Incremental LearningLei Guo, Gang Xie, Xinying Xu, Jinchang RenIEEE Access · Taiyuan University of Technology · Taiyuan University of Science and Technology · +1
2020
Local Sigmoid Method: Non-Iterative Deterministic Learning Algorithm for Automatic Model Construction of Neural NetworkSyukron Abu Ishaq Alfarozi, Kitsuchart Pasupa, Masanori Sugimoto, Kuntpong WoraratpanyaIEEE Access · King Mongkut's Institute of Technology Ladkrabang · Hokkaido University
2020
Inverse-Free Incremental Learning Algorithms With Reduced Complexity for Regularized Extreme Learning MachineHufei Zhu, Yanpeng WuIEEE Access · Shenzhen University · Hunan First Normal University
2020
A New Cloud Robots Training Method Using Cooperative LearningGuanglong Du, Zhiyao Wang, Zhelin LiIEEE Access · South China University of Technology
2020
An Incremental Learning Based Edge Caching System: From Modeling to EvaluationGuangping Xu, Bo Tang, Liming Yuan … Chi Wan SungIEEE Access · Tianjin University of Technology · City University of Hong Kong
2020
SVDTWDD Method for High Correct Recognition Rate Classifier With Appropriate Rejection Recognition RegionsGuowei Yang, Shaohua Qi, Teng Yu … Zhihui LaiIEEE Access · Qingdao University · Nanjing Audit University · +1
2020
Class-Incremental Learning of Convolutional Neural Networks Based on Double Consolidation MechanismLeilei Jin, Hong Liang, Changsheng YangIEEE Access · Northwestern Polytechnical University
2020
Confidence Calibration for Incremental LearningDongmin Kang, Yeonsik Jo, Yeongwoo Nam, Jonghyun ChoiIEEE Access · Gwangju Institute of Science and Technology
2020
Memory Protection Generative Adversarial Network (MPGAN): A Framework to Overcome the Forgetting of GANs Using Parameter Regularization MethodsYifan Chang, Wenbo Li, Jian Peng … Yingliang HuangIEEE Access · University of Science and Technology of China · Hefei Institute of Technology Innovation · +3
2020
A Perpetual Learning Algorithm That Incrementally Improves Performance With DeliberationHaiou Qin, Du ZhangIEEE Access · Macau University of Science and Technology
2020
Neural Learning With Recoil Behavior in Hyperellipsoidal StructureKanoksilp Jindadoungrut, Suphakant Phimoltares, Chidchanok LursinsapIEEE Access · Chulalongkorn University
2020
Challenges in Task Incremental Learning for Assistive RoboticsFan Feng, Rosa H. M. Chan, Xuesong Shi … Qi SheIEEE Access · City University of Hong Kong

About this index

We keep this list because we read the field and wanted one place to see it. It covers work on continual learning itself, in the core areas of machine learning, and leaves out papers that apply it inside another field, such as medical imaging or fault diagnosis. It is seeded from the community lists kept by ContinualAI and by Xialei Liu, then filled out from OpenAlex, and every week a script looks for new papers on OpenAlex and arXiv. A model reads each candidate and decides whether it belongs; a person reviews the additions before they go live. Authors and affiliations come from OpenAlex, so a recent preprint can lack its institutions for a week or two.

Missing something, or filed under the wrong venue? Write to hello@unify.ai with the arXiv id or DOI.