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.

69 papers of 11,817 · showing 51–69Sort Recent · Most cited

2016 Clear all

2016
One-Class to Multi-Class Model Update Using the Class-Incremental Optimum-Path Forest ClassifierMateus Riva, Moacir Antonelli Ponti, de Campos TeofiloFrontiers · Universidade de São Paulo · University of Surrey
2016
A Clastering Method for Incremental Learning using ESOINN and Counter Propagation Neural NetworksShunsuke Kawai, Satoshi YamaguchiIEEJ Transactions on Electronics Information and Systems · Chiba Institute of Technology
2016
Incremental Learning Algorithm of Least Square Twin KSVCYaru Wang, Ling Yang, Mohan Chen, Jikui XiMATEC Web of Conferences · Lanzhou University
2016
On Learning Parameters of Incremental Learning in Chaotic Neural NetworkToshinori Deguchi, Naohiro IshiiSpringer CCIS · National Institute of Technology, Gifu College · Aichi Institute of Technology
2016
Incremental Wavelet Neural Network based Prediction of Network Security SituationXiaojian LiuAdvances in engineering research/Advances in Engineering… · Eastern Liaoning University
2016
Continual Learning through Evolvable Neural Turing MachinesBenno Lüders, Mikkel Schläger, S. RisiNeurIPS
2016
Multi-Label Answer Aggregation for CrowdsourcingT. NguyenPreprint
2016
Dedicated Memory Models for Continual Learning in the Presence of Concept DriftViktor Losing, B. Hammer, Heiko WersingPreprint
2016
Backpropagation of Hebbian Plasticity for Continual LearningAuthors pendingNeurIPS
2016
Continuous Online Sequence Learning with an Unsupervised Neural Network ModelAuthors pendingNeural Computation
2016
Fine-Tuning Deep Neural Networks in Continuous Learning ScenariosAuthors pendingACCV
2016
Learning without ForgettingAuthors pendingECCV
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2016
Lifelong Machine Learning November , 2016Zhiyuan LiuPreprint
2016
Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets.Authors pendingEMNLP
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2016
Semi-Supervised Tuning from Temporal CoherenceAuthors pendingICPR
2016
A hybrid model of fuzzy ARTMAP and genetic algorithm for data classification and rule extractionFarhad Pourpanah, Chee Peng Lim, Junita Mohamad–SalehExpert Systems with Applications · Universiti Sains Malaysia · Deakin University
2016
Net2Net: Accelerating Learning via Knowledge TransferTianqi Chen, Ian Goodfellow, Jonathon ShlensICLR · University of Washington · Google (United States)
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2016
Describing and learning of related parts based on latent structural model in big dataLei Liu, Xiao Bai, Huigang Zhang … Wenzhong TangNeurocomputing · Shantou University · Beihang University · +1
2016
Incremental Learning of Convolutional Neural NetworksDušan Medera, Štefan BabinecInternational Joint Conference on Computational Intelligence

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.