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.

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SIB Swiss Institute of Bioinformatics Clear all

2022
Bio-inspired, task-free continual learning through activity regularizationFrancesco Lässig, Pau Vilimelis Aceituno, Martino Sorbaro, Benjamin F. GreweBiological Cybernetics · SIB Swiss Institute of Bioinformatics · University of Zurich · +2
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2022
Biologically-Inspired Continual Learning of Human Motion SequencesJ. C. Ott, Shih‐Chii LiuICASSP · SIB Swiss Institute of Bioinformatics · University of Zurich · +1
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2022
Operative dimensions in unconstrained connectivity of recurrent neural networksRenate Krause, Matthew Cook, Sepp Kollmorgen … Giacomo IndiveribioRxiv · SIB Swiss Institute of Bioinformatics · University of Zurich · +1
2022
Introducing principles of synaptic integration in the optimization of deep neural networksGiorgia Dellaferrera, Stanisław Woźniak, Giacomo Indiveri … Evangelos EleftheriouNature Communications · University of Zurich · IBM Research - Zurich · +3
2021
EILE: Efficient Incremental Learning on the EdgeXi Chen, Chang Gao, Tobi Delbrück, Shih‐Chii LiuIEEE 3rd International Conference on Artificial Intellige… · SIB Swiss Institute of Bioinformatics · University of Zurich · +1
2021
Presynaptic stochasticity improves energy efficiency and helps alleviate the stability-plasticity dilemmaSimon Schug, Frederik Benzing, Angelika StegerbioRxiv · SIB Swiss Institute of Bioinformatics · University of Zurich · +1
2019
Incremental Learning Meets Reduced Precision NetworksYuhuang Hu, Tobi Delbrück, Shih‐Chii LiuIEEE International Symposium on Circuits and Systems (ISCAS) · SIB Swiss Institute of Bioinformatics · University of Zurich · +1
2019
Parameter Uncertainty for End-to-end Speech RecognitionStefan Braun, Shih‐Chii LiuICASSP · SIB Swiss Institute of Bioinformatics · University of Zurich · +1
2019
Fast event-driven incremental learning of hand symbolsIulia Alexandra Lungu, Shih‐Chii Liu, Tobi DelbrückIEEE International Conference on Artificial Intelligence… · SIB Swiss Institute of Bioinformatics · University of Zurich · +1

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.