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.

11 papers of 11,817Sort Recent · Most cited

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2022
Differentially Private Federated Continual Learning with Heterogeneous Cohort PrivacyAjesh Koyatan Chathoth, Clark P Necciai, Abhyuday Jagannatha, Stephen LeeIEEE International Conference on Big Data (Big Data) · University of Pittsburgh · University of Massachusetts Amherst
2022
Scalable Learning with Incremental Probabilistic PCABoshi Wang, Adrian BarbuIEEE International Conference on Big Data (Big Data) · Florida State University
2022
Continuous Health Monitoring of Machinery using Online Clustering on Unlabeled Data StreamsMinh-Huong Le-Nguyen, Fabien Turgis, Pierre-Emmanuel Fayemi, Albert BifetIEEE International Conference on Big Data (Big Data) · Honeywell (France)
2022
Distributed Incremental Machine Learning for Big Time Series DataDhaval Salwala, Seshu Tirupathi, Brian Quanz … Arindam JatiIEEE International Conference on Big Data (Big Data) · IBM Research - Ireland · IBM (United States) · +2
2022
Continual Learning with Network Intrusion DatasetHyejin Kim, Dong Seong Kim, Jin-Hee Cho … Hyuk LimIEEE International Conference on Big Data (Big Data) · Gwangju Institute of Science and Technology · The University of Queensland · +3
2022
Temporal Adaptive Aggregation Network for Dynamic Graph LearningMan Wu, Xingquan ZhuIEEE International Conference on Big Data (Big Data) · Florida Atlantic University
2021
Continual Neural Network Model RetrainingXiaofeng Zhu, Diego KlabjanIEEE International Conference on Big Data (Big Data) · Microsoft (United States) · Northwestern University
2020
Skill-based Career Path Modeling and RecommendationAritra Ghosh, Beverly Park Woolf, Shlomo Zilberstein, Andrew LanIEEE International Conference on Big Data (Big Data) · University of Massachusetts Amherst
2020
Fine-Tuning Language Models For Semi-Supervised Text MiningXinyu Chen, Ian Beaver, Cynthia FreemanIEEE International Conference on Big Data (Big Data) · Verint Systems (United States)
2018
Lifelong Learning Memory Networks for Aspect Sentiment ClassificationShuai Wang, Guangyi Lv, Sahisnu Mazumder … Bing LiuIEEE International Conference on Big Data (Big Data) · University of Illinois Chicago · University of Science and Technology of China
2018
Big Data Ingestion and Lifelong Learning ArchitectureGautam Pal, Gangmin Li, Katie AtkinsonIEEE International Conference on Big Data (Big Data) · University of Liverpool · Xi’an Jiaotong-Liverpool 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.