Related work

The foundational work on continual learning, 1991 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

9 papers of 4,574Sort Recent · Most cited
  1. 2026
    Incremental learning for audio classification with Hebbian Deep Neural NetworksRiccardo Casciotti, Francesco De Santis, Alberto Antonietti, Annamaria MesarosICASSP · Tampere University · Politecnico di Milano
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  2. 2026
    A practical guide to streaming continual learningAndrea Cossu, Federico Giannini, Giacomo Ziffer … Davide BacciuNeurocomputing · University of Pisa · Istituto Nazionale di Fisica Nucleare, Sezione di Pisa · +6
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  3. 2025
    Freeze and Learn: Continual Learning with Selective Freezing for Speech Deepfake DetectionDavide Salvi, Viola Negroni, Luca Bondi … Stefano TubaroICASSP · Politecnico di Milano · Robert Bosch (United States)
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  4. 2025
    Don't drift away: Advances and Applications of Streaming and Continual LearningAndrea Cossu, Davide Bacciu, Alessio Bernardo … Giacomo ZifferESANN 2025 proceesdings · University of Pisa · Politecnico di Milano · +3
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  5. 2024
    Streaming Continual Learning for Unified Adaptive Intelligence in Dynamic EnvironmentsFederico Giannini, Giacomo Ziffer, Andrea Cossu, Vincenzo LomonacoIEEE Intelligent Systems · Politecnico di Milano · University of Pisa
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  6. 2022
    A Hybrid Active-Passive Approach to Imbalanced Nonstationary Data Stream ClassificationKleanthis Malialis, Manuel Roveri, Cesare Alippi … Marios M. PolycarpouIEEE Symposium Series on Computational Intelligence (SSCI) · University of Cyprus · Politecnico di Milano
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  7. 2022
    Lifelong Hyper-Policy Optimization with Multiple Importance Sampling RegularizationPierre Liotet, Francesco Vidaich, Alberto Maria Metelli, Marcello RestelliAAAI · Politecnico di Milano · University of Padua
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  8. 2021
    A Brain-Inspired Homeostatic Neuron Based on Phase-Change Memories for Efficient Neuromorphic ComputingIrene Muñoz-Martín, S. Bianchi, Shahin Hashemkhani … Daniele IelminiFrontiers · Politecnico di Milano
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  9. 2020
    Bio-Inspired Techniques in a Fully Digital Approach for Lifelong LearningS. Bianchi, Irene Muñoz-Martín, Daniele IelminiFrontiers · Politecnico di Milano
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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 lists only papers we have a reason to trust: published at a venue like NeurIPS, ICML, ICLR, CVPR or TPAMI, or led by someone who has published there, or cited a few hundred times, and only papers with a PDF we can point you at, so every title opens the paper itself. Preprints that later get accepted, and authors who later publish at those venues, are picked up by the weekly run. 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.