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.

4,574 papers · showing 4151–4200Sort Recent · Most cited
  1. 2020
    Cognitively-Inspired Model for Incremental Learning Using a Few ExamplesAli Ayub, Alan R. WagnerCVPR · Pennsylvania State University
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  2. 2020
    Dropout as an Implicit Gating Mechanism For Continual LearningSeyed Iman Mirzadeh, Mehrdad Farajtabar, Hassan GhasemzadehCVPR · Washington State University · Google (United States)
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  3. 2020
    Reducing catastrophic forgetting with learning on synthetic dataWojciech Masarczyk, Ivona TautkutėCVPR · Warsaw University of Technology · Institute of Theoretical and Applied Informatics · +3
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  4. 2020
    Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open ProblemMatthias De Lange, Xu Jia, Sarah Parisot … Tinne TuytelaarsCVPR · KU Leuven · Huawei Technologies (Sweden)
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  5. 2020
    Sequential Mastery of Multiple Visual Tasks: Networks Naturally Learn to Learn and Forget to ForgetGuy Davidson, Michael C. MozerCVPR · Supélec · University of Applied Sciences and Arts of Southern Switzerland · +2
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  6. 2020
    IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge [Competitions]Heechul Bae, Eoin Brophy, Rosa H. M. Chan … Liguang ZhouIEEE Robotics & Automation Magazine · Electronics and Telecommunications Research Institute · Dublin City University · +9
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  7. 2020
    StackNet: Stacking feature maps for Continual learningKim Jangho, Jeesoo Kim, Nojun KwakCVPR · Seoul National University
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  8. 2020
    Continual Learning of Object InstancesKishan Parshotam, Mert KilickayaCVPR · University of Amsterdam
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  9. 2020
    Progressive growing of self-organized hierarchical representations for explorationMayalen Etcheverry, Pierre‐Yves Oudeyer, Chris ReinkearXiv
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  10. 2020
    Towards Knowledgeable Supervised Lifelong Learning SystemsDiana Benavides‐Prado, Yun Sing Koh, Patricia RiddleJournal of Artificial Intelligence Research · University of Auckland
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  11. 2020
    Continual Learning Using Task Conditional Neural NetworksHaoyu Li, Payam Barnaghi, Shirin Enshaeifar, Frieder GanzarXiv
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  12. 2020
    Improving Performance in Reinforcement Learning by Breaking Generalization in Neural NetworksSina Ghiassian, Banafsheh Rafiee, Yat Long Lo, Adam WhiteAdaptive Agents and Multi-Agents Systems · University of Alberta
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  13. 2020
    Visually Grounded Continual Learning of Compositional SemanticsXisen Jin, Junyi Du, Arka Sadhu … Xiang RenarXiv · University of Southern California · California Southern University
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  14. 2020
    OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep LearningQi She, Fan Feng, Xinyue Hao … Rosa H. M. ChanICRA · City University of Hong Kong · Tsinghua University · +4
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  15. 2020
    Sequential Presentation Protects Working Memory From Catastrophic InterferenceAnsgar D. Endress, Szilárd SzabóCognitive Science · City, University of London · Budapest University of Technology and Economics
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  16. 2021
    Addressing Catastrophic Forgetting in Few-Shot ProblemsPauching Yap, Hippolyt Ritter, David BarberICML · University College London
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  17. 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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  18. 2020
    Continual Deep Learning by Functional Regularisation of Memorable PastPingbo Pan, Siddharth Swaroop, Alexander Immer … Mohammad Emtiyaz KhanNeurIPS
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  19. 2017
    Lifelong Generative ModelingJason Ramapuram, Magda Gregorová, Alexandros KalousisNeurocomputing · University of Geneva · HES-SO University of Applied Sciences and Arts Western Switzerland
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  20. 2020
    Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models via Continual LearningZihan Liu, Genta Indra Winata, Andrea Madotto, Pascale FungarXiv · Hong Kong University of Science and Technology
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  21. 2020PDF ↗
  22. 2020
    Neural Network Retraining for Model ServingDiego Klabjan, Xiaofeng ZhuarXiv
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  23. 2020
    Small-Task Incremental LearningArthur Douillard, M. Cord, Charles Ollion … E. ValleECCV
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  24. 2020
    Lifelong Learning Process: Self-Memory Supervising and Dynamically Growing NetworksYoucheng Huang, Tangchen Wei, Jundong Zhou, Chunxin YangarXiv
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  25. 2020PDF ↗
  26. 2020
    Efficient Adaptation for End-to-End Vision-Based Robotic ManipulationRyan Julian, Benjamin Swanson, Gaurav S. Sukhatme … Karol HausmanRSS
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  27. 2020
    Bayesian Nonparametric Weight Factorization for Continual LearningNikhil Mehta, Kevin J Liang, Vinay Kumar Verma, Lawrence CarinarXiv
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  28. 2020
    Continual Reinforcement Learning with Multi-Timescale ReplayChristos Kaplanis, Claudia Clopath, Murray ShanahanarXiv · Imperial College London
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  29. 2020
    Dark Experience for General Continual Learning: a Strong, Simple BaselinePietro Buzzega, Matteo Boschini, Angelo Porrello … Simone CalderaraNeurIPS · University of Modena and Reggio Emilia
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  30. 2020
    Defining Benchmarks for Continual Few-Shot LearningAntreas Antoniou, Massimiliano Patacchiola, Mateusz Ochal, Amos StorkeyarXiv · University of Edinburgh
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  31. 2020
    Self-Net: Lifelong Learning via Continual Self-ModelingJaya Krishna Mandivarapu, Blake Camp, Rolando EstradaFrontiers · Georgia State University
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  32. 2020
    CALM: Continuous Adaptive Learning for Language ModelingKristjan Arumae, Parminder BhatiaarXiv · Amazon (Germany)
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  33. 2020
    Class-Agnostic Continual Learning of Alternating Languages and DomainsGermán Kruszewski, Ionut Sorodoc, Tomáš MikolovarXiv · Naver (South Korea) · Universitat Pompeu Fabra
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  34. 2020
    Improved Pretraining for Domain-specific Contextual Embedding ModelsSubendhu Rongali, Abhyuday Jagannatha, Bhanu Pratap Singh Rawat, Hong YuarXiv · University of Massachusetts Amherst
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  35. 2020
    Towards Making the Most of BERT in Neural Machine TranslationJiacheng Yang, Mingxuan Wang, Hao Zhou … Lei LiAAAI · Shanghai Jiao Tong University
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  36. 2020
    Overcoming Catastrophic Forgetting by Neuron-level Plasticity ControlInyoung Paik, Sangjun Oh, Tae-Yeong Kwak, Injung KimAAAI · Handong Global University
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  37. 2020
    Generative Continual Concept LearningMohammad Rostami, Soheil Kolouri, Praveen K. Pilly, James L. McClellandAAAI · California University of Pennsylvania · HRL Laboratories (United States) · +1
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  38. 2020
    DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained ClassifierSravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, Venkatesh Babu RadhakrishnanAAAI · Indian Institute of Science Bangalore
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  39. 2020
    Lifelong Learning with a Changing Action SetYash Chandak, Georgios Theocharous, Chris Nota, Philip S. ThomasAAAI · University of Massachusetts Amherst · Adobe Systems (United States)
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  40. 2020
    Incremental multi-domain learning with network latent tensor factorizationAdrian Bulat, Jean Kossaifi, Georgios Tzimiropoulos, Maja PantićAAAI · Samsung (United States)
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  41. 2020
    Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural NetworksYadan Luo, Zi Huang, Zheng Zhang … Yang YangAAAI · The University of Queensland · Harbin Institute of Technology · +1
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  42. 2020
    Residual Continual LearningJanghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo KimAAAI · Korea Advanced Institute of Science and Technology · Kootenay Association for Science & Technology
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  43. 2020
    Towards Lifelong Self-Supervision For Unpaired Image-to-Image TranslationVictor Schmidt, Makesh Narsimhan Sreedhar, Mostafa ElAraby, Irina RisharXiv
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  44. 2020
    Continual Learning with Node-Importance based Adaptive Group Sparse RegularizationSangwon Jung, Hongjoon Ahn, Sungmin Cha, Taesup MoonNeurIPS · Sungkyunkwan University
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  45. 2017
    Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot TransferMohammad Rostami, David Isele, Eric EatonJournal of Artificial Intelligence Research · California University of Pennsylvania
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  46. 2020
    Continual Graph LearningFan Zhou, Chengtai CaoarXiv
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  47. 2020
    Lifelong Learning with Searchable Extension UnitsWenjin Wang, Yunqing Hu, Yin Zhang⋆arXiv · Zhejiang University
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  48. 2020
    Rapid online learning and robust recall in a neuromorphic olfactory circuitNabil Imam, Thomas A. ClelandNature Machine Intelligence · Intel (United States) · Cornell University
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  49. 2020
    Evaluating Logical Generalization in Graph Neural NetworksKoustuv Sinha, Shagun Sodhani, Joëlle Pineau, William L. HamiltonarXiv · McGill University
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  50. 2020
    Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual LearningM. Caccia, Pau Rodríguez, Оleksiy Ostapenko … Laurent CharlinNeurIPS
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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.