{"url":"/task/lifelong-learning","name":"Lifelong learning","slug":"lifelong-learning","description_markdown":null,"categories":[],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"derived"},"counts":{"papers_tagged":475,"papers_with_code":173,"benchmarks":0,"benchmark_tables_in_archive":0,"benchmark_tables_shown":0,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":0,"subtasks":0,"parent_tasks":0},"benchmarks":[],"datasets":[],"subtasks":[],"parent_tasks":[],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":30,"of":173,"tagged_in_all":475,"items":[{"url":"/paper/three-scenarios-for-continual-learning","title":"Three scenarios for continual learning","date":"2019-04-15","arxiv_id":"1904.07734","repositories_listed":8,"syntology":{"n":2,"n_ran":0,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/learning-to-continually-learn","title":"Learning to Continually Learn","date":"2020-02-21","arxiv_id":"2002.09571","repositories_listed":5,"syntology":{"n":3,"n_ran":3,"n_unverified":0,"n_pointer_only":3}},{"url":"/paper/batchensemble-an-alternative-approach-to-1","title":"BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning","date":"2020-02-17","arxiv_id":"2002.06715","repositories_listed":5,"syntology":{"n":3,"n_ran":1,"n_unverified":2,"n_pointer_only":3}},{"url":"/paper/generative-replay-with-feedback-connections","title":"Generative replay with feedback connections as a general strategy for continual learning","date":"2018-09-27","arxiv_id":"1809.10635","repositories_listed":5,"syntology":null},{"url":"/paper/differentiable-plasticity-training-plastic","title":"Differentiable plasticity: training plastic neural networks with backpropagation","date":"2018-04-06","arxiv_id":"1804.02464","repositories_listed":5,"syntology":{"n":1,"n_ran":0,"n_unverified":1,"n_pointer_only":1}},{"url":"/paper/lifelong-reinforcement-learning-with","title":"Lifelong Reinforcement Learning with Modulating Masks","date":"2022-12-21","arxiv_id":"2212.11110","repositories_listed":4,"syntology":null},{"url":"/paper/meta-learning-through-hebbian-plasticity-in","title":"Meta-Learning through Hebbian Plasticity in Random Networks","date":"2020-07-06","arxiv_id":"2007.02686","repositories_listed":4,"syntology":null},{"url":"/paper/lifelong-graph-learning","title":"Lifelong Graph Learning","date":"2020-09-01","arxiv_id":"2009.00647","repositories_listed":3,"syntology":{"n":4,"n_ran":1,"n_unverified":3,"n_pointer_only":0}},{"url":"/paper/automatically-optimized-gradient-boosting","title":"Automatically Optimized Gradient Boosting Trees for Classifying Large Volume High Cardinality Data Streams Under Concept Drift","date":"2019-11-30","arxiv_id":null,"repositories_listed":3,"syntology":null},{"url":"/paper/efficient-lifelong-learning-with-a-gem","title":"Efficient Lifelong Learning with A-GEM","date":"2018-12-02","arxiv_id":"1812.00420","repositories_listed":3,"syntology":{"n":12,"n_ran":1,"n_unverified":11,"n_pointer_only":0}},{"url":"/paper/memory-aware-synapses-learning-what-not-to","title":"Memory Aware Synapses: Learning what (not) to forget","date":"2017-11-27","arxiv_id":"1711.09601","repositories_listed":3,"syntology":{"n":3,"n_ran":1,"n_unverified":2,"n_pointer_only":1}},{"url":"/paper/lifelong-learning-with-dynamically-expandable","title":"Lifelong Learning with Dynamically Expandable Networks","date":"2017-08-04","arxiv_id":"1708.01547","repositories_listed":3,"syntology":null},{"url":"/paper/boosting-continual-learning-of-vision","title":"Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters","date":"2024-03-18","arxiv_id":"2403.11549","repositories_listed":2,"syntology":{"n":4,"n_ran":2,"n_unverified":2,"n_pointer_only":4}},{"url":"/paper/dual-cognitive-architecture-incorporating","title":"Dual Cognitive Architecture: Incorporating Biases and Multi-Memory Systems for Lifelong Learning","date":"2023-10-17","arxiv_id":"2310.11341","repositories_listed":2,"syntology":{"n":3,"n_ran":1,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/libero-benchmarking-knowledge-transfer-for","title":"LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning","date":"2023-06-05","arxiv_id":"2306.03310","repositories_listed":2,"syntology":{"n":6,"n_ran":1,"n_unverified":5,"n_pointer_only":0}},{"url":"/paper/sharing-lifelong-reinforcement-learning","title":"Sharing Lifelong Reinforcement Learning Knowledge via Modulating Masks","date":"2023-05-18","arxiv_id":"2305.10997","repositories_listed":2,"syntology":null},{"url":"/paper/continuous-coordination-as-a-realistic","title":"Continuous Coordination As a Realistic Scenario for Lifelong Learning","date":"2021-03-04","arxiv_id":"2103.03216","repositories_listed":2,"syntology":null},{"url":"/paper/rethinking-quadratic-regularizers-explicit","title":"How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation","date":"2021-02-04","arxiv_id":"2102.02805","repositories_listed":2,"syntology":{"n":3,"n_ran":3,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/lifelong-policy-gradient-learning-of-factored","title":"Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting","date":"2020-07-14","arxiv_id":"2007.07011","repositories_listed":2,"syntology":{"n":2,"n_ran":0,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/small-task-incremental-learning","title":"PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning","date":"2020-04-28","arxiv_id":"2004.13513","repositories_listed":2,"syntology":null},{"url":"/paper/openloris-object-a-dataset-and-benchmark","title":"OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning","date":"2019-11-15","arxiv_id":"1911.06487","repositories_listed":2,"syntology":{"n":5,"n_ran":2,"n_unverified":3,"n_pointer_only":0}},{"url":"/paper/overcoming-forgetting-in-federated-learning","title":"Overcoming Forgetting in Federated Learning on Non-IID Data","date":"2019-10-17","arxiv_id":"1910.07796","repositories_listed":2,"syntology":null},{"url":"/paper/compacting-picking-and-growing-for","title":"Compacting, Picking and Growing for Unforgetting Continual Learning","date":"2019-10-15","arxiv_id":"1910.06562","repositories_listed":2,"syntology":{"n":4,"n_ran":2,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/increasingly-packing-multiple-facial","title":"Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning","date":"2019-06-10","arxiv_id":null,"repositories_listed":2,"syntology":null},{"url":"/paper/efficient-forward-architecture-search","title":"Efficient Forward Architecture Search","date":"2019-05-31","arxiv_id":"1905.13360","repositories_listed":2,"syntology":null},{"url":"/paper/sentence-embedding-alignment-for-lifelong","title":"Sentence Embedding Alignment for Lifelong Relation Extraction","date":"2019-03-06","arxiv_id":"1903.02588","repositories_listed":2,"syntology":null},{"url":"/paper/houdini-lifelong-learning-as-program","title":"HOUDINI: Lifelong Learning as Program Synthesis","date":"2018-03-31","arxiv_id":"1804.00218","repositories_listed":2,"syntology":{"n":3,"n_ran":2,"n_unverified":1,"n_pointer_only":3}},{"url":"/paper/rotate-your-networks-better-weight","title":"Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting","date":"2018-02-08","arxiv_id":"1802.02950","repositories_listed":2,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/expert-gate-lifelong-learning-with-a-network","title":"Expert Gate: Lifelong Learning with a Network of Experts","date":"2016-11-18","arxiv_id":"1611.06194","repositories_listed":2,"syntology":null},{"url":"/paper/dynamic-mixture-of-progressive-parameter","title":"Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning","date":"2025-06-06","arxiv_id":"2506.05985","repositories_listed":1,"syntology":null}],"syntology_records":16,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}