Related work

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

166 papers of 11,817 · showing 101–150Sort Recent · Most cited

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2023
Trainable Weights for Multitask LearningChaeeun Ryu, Changwoo Lee, Hyuk Jin Choi … Young-Gon KimIEEE Access
2023
ConnectomeNet: A Unified Deep Neural Network Modeling Framework for Multi-Task LearningHeechul Lim, Kang-Wook Chon, Min-Soo KimIEEE Access
2023
Prediction Model for the Stored-Grain Situation Risk Point Based on Broad Learning NetworkFeiyu Lian, Qin Yao, Maixia FuIEEE Access
2022
TA-SBERT : Token Attention Sentence-BERT for Improving Sentence RepresentationJaejin Seo, Sangwon Lee, Ling Liu, Wonik ChoiIEEE Access · Inha University · Georgia Institute of Technology
2022
Adaptive Resonance Theory-based Topological Clustering with a Divisive Hierarchical Structure Capable of Continual LearningNaoki Masuyama, Narito Amako, Yuna Yamada … Hisao IshibuchiIEEE Access · Osaka Metropolitan University · Osaka Prefecture University · +1
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2022
Logarithmic Continual LearningWojciech Masarczyk, Paweł Wawrzyński, Daniel Marczak … T. P. TrzcinskiIEEE Access · Warsaw University of Technology · Jagiellonian University
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2022
Differential Privacy Preservation in Robust Continual LearningAhmad Hassanpour, Majid Moradikia, Bian Yang … Julian FierrezIEEE Access
2022
Visual Tracking by Adaptive Continual Meta-LearningJanghoon Choi, Sungyong Baik, Myungsub Choi … K. LeeIEEE Access
2022
Catastrophic forgetting problem in semi-supervised semantic segmentationYan Zhou, Ruyi Jiao, Dongli Wang … Jian-xun LiIEEE Access
2022
Plain Template Insertion: Korean-Prompt-Based Engineering for Few-Shot LearnersJ. Seo, Hyeonseok Moon, Chanhee Lee … Heu-Jeoung LimIEEE Access
2022
A Hybrid Temporal Data Mining Method for Intelligent Train Braking SystemsWen-Jing Liu, G. Wan, Mei-Song TongIEEE Access
2022
Flow-Based Reinforcement LearningDilini Samarasinghe, M. Barlow, E. LakshikaIEEE Access
2022
Rumors Detection Based on Lifelong Machine LearningXiao-Xia He, Gulanbaier Tuerhong, Mairidan Wushouer, X. DaiIEEE Access
2022
Gating Mechanism in Deep Neural Networks for Resource-Efficient Continual LearningHyundong Jin, Kimin Yun, Eunwoo KimIEEE Access
2022
Triple-Sigmoid Activation Function for Deep Open-Set RecognitionD. Tran, N. Shimada, Jooho LeeIEEE Access
2022
DME: An Adaptive and Just-in-Time Weighted Ensemble Learning Method for Classifying Block-Based Concept Drift SteamBao-Quan Feng, Yan Gu, Hualong Yu … Shang GaoIEEE Access
2022
Single-head lifelong learning based on distilling knowledgeYen-Hsiang Wang, Chih-Yang Lin, Tipajin Thaipisutikul, T. ShihIEEE Access
2022
Continual Learning with Speculative Backpropagation and Activation HistorySangwoo Park, Taeweon SuhIEEE Access
2022
CLFM: Few-Shot Object Detection via Low-Resource Contrastive Learning and Fisher Matrix Updating for Overcoming Catastrophic ForgettingMeng Wang, Qiang Wang, Haipeng LiuIEEE Access
2022
Incremental Learning With Adaptive Model Search and a Nominal Loss ModelChanho Ahn, Eunwoo Kim, Songhwai OhIEEE Access
2022
Improve the Performance and Stability of Incremental Learning by a Similarity Harmonizing MechanismJing-heng Ma, M. Liao, Lei ZhangIEEE Access
2022
MAI-CBert:Multidirectional Attention Interaction Construction-Bert Sentiment Sentence RepresentationBo Chen, Wei-Ming Peng, Ji-Hua SongIEEE Access
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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2021
Overcoming Catastrophic Forgetting Using Sparse Coding and Meta LearningJulio Hurtado, Hans Löbel, Álvaro SotoIEEE Access · Pontificia Universidad Católica de Chile
2021
Generation and Frame Characteristics of Predefined Evenly-Distributed Class Centroids for Pattern ClassificationHU Hai-ping, Yingying Yan, Qiuyu Zhu, Guohui ZhengIEEE Access · Shanghai University
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2021
Time-Series Prediction of Iron and Silicon Content in Aluminium Electrolysis Based on Machine LearningLinsheng Chen, Yongming Wu, Yingbo Liu … Xiaojing ShengIEEE Access · Guizhou University · Cloud Computing Center · +1
2021
Lifelong Learning Augmented Short Text Stream Clustering MethodJipeng Qiang, Wanyin Xu, Yun Li … Yi ZhuIEEE Access · Yangzhou University
2021
Reduce the Difficulty of Incremental Learning With Self-Supervised LearningLinting Guan, Yan WuIEEE Access · Zhejiang Ocean University · Tongji University
2021
Homeostasis-Inspired Continual Learning: Learning to Control Structural RegularizationJoonyoung Kim, Hyowoon Seo, Wan Choi, Kyomin JungIEEE Access · Seoul National University · University of Oulu · +1
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

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.