{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/code/continualmodel","entry":"ContinualModel","source":"Syntology graph, per-sample; not an archive number","read_at":"2026-09-24T18:15:14+00:00","claim":"Names are grouped by exact entry-name string. Same-named routines are NOT asserted to be equivalent; 'ran' means executed on a synthesized fixture, not correctness. n_samples_ran = sum of by_status over every status except 'unverified' (ran_draft_wrong and ran_fixture are failures of Syntology's instrument, not of the code); n_papers_ran = papers with at least one such sample.","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)"},"n_papers":10,"n_papers_ran":6,"units":"n_samples, n_samples_ran, n_samples_fingerprinted and by_status count distinct code bodies (code_sha256); n_places and n_places_pointer_only count places, one per (paper, code body) pair, which is also the unit of the samples list","n_samples":10,"n_samples_ran":6,"n_samples_fingerprinted":5,"n_places":10,"n_places_pointer_only":5,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":6,"unverified":4},"syntology":{"atlas_url":null,"mcp":null,"mcp_per_sample":{"tool":"get_code","arguments_in":"samples[].mcp_get_code"},"developers":"https://syntology.ai/developers"},"samples":[{"arxiv_id":"2403.13249","paper":"/paper/a-unified-and-general-framework-for-continual","title":"A Unified and General Framework for Continual Learning","date":"2024-03-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"joey-wang123/cl-refresh-learning","path":"models/rpc.py","file_url":"https://github.com/joey-wang123/cl-refresh-learning/blob/HEAD/models/rpc.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"cf632e025b73ed65","mcp_get_code":{"code_sha256":"cf632e025b73ed65"}},{"arxiv_id":"2403.04398","paper":"/paper/magr-manifold-aligned-graph-regularization","title":"MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment","date":"2024-03-07","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ZhouKanglei/MAGR_CAQA","path":"models/fea_gr.py","file_url":"https://github.com/ZhouKanglei/MAGR_CAQA/blob/HEAD/models/fea_gr.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"45fc3083f9e5c62e","mcp_get_code":{"code_sha256":"45fc3083f9e5c62e"}},{"arxiv_id":"2310.08217","paper":"/paper/trire-a-multi-mechanism-learning-paradigm-for-1","title":"TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion","date":"2023-10-12","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"NeurAI-Lab/TriRE","path":"models/trire.py","file_url":"https://github.com/NeurAI-Lab/TriRE/blob/HEAD/models/trire.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"217935831367f94e","mcp_get_code":{"code_sha256":"217935831367f94e"}},{"arxiv_id":"2308.13324","paper":"/paper/conslide-asynchronous-hierarchical","title":"ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis","date":"2023-08-25","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"HKU-MedAI/ConSlide","path":"models/conslide.py","file_url":"https://github.com/HKU-MedAI/ConSlide/blob/HEAD/models/conslide.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"b516b9ecb69103f7","mcp_get_code":{"code_sha256":"b516b9ecb69103f7"}},{"arxiv_id":"2305.18806","paper":"/paper/prediction-error-based-classification-for","title":"Prediction Error-based Classification for Class-Incremental Learning","date":"2023-05-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"michalzajac-ml/pec","path":"models/pec.py","file_url":"https://github.com/michalzajac-ml/pec/blob/HEAD/models/pec.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"ffb4ae870279d896","mcp_get_code":{"code_sha256":"ffb4ae870279d896"}},{"arxiv_id":"2302.11346","paper":"/paper/task-aware-information-routing-from-common","title":"Task-Aware Information Routing from Common Representation Space in Lifelong Learning","date":"2023-02-14","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"neurai-lab/tamil","path":"models/tam.py","file_url":"https://github.com/neurai-lab/tamil/blob/HEAD/models/tam.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"e05a511f5e2451f1","mcp_get_code":{"code_sha256":"e05a511f5e2451f1"}},{"arxiv_id":"2302.11344","paper":"/paper/error-sensitivity-modulation-based-experience","title":"Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning","date":"2023-02-14","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"neurai-lab/esmer","path":"models/esmer.py","file_url":"https://github.com/neurai-lab/esmer/blob/HEAD/models/esmer.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"57fede31419af8bc","mcp_get_code":{"code_sha256":"57fede31419af8bc"}},{"arxiv_id":"2302.01242","paper":"/paper/neuro-symbolic-continual-learning-knowledge","title":"Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal","date":"2023-02-02","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ema-marconato/nesy-cl","path":"models/cool.py","file_url":"https://github.com/ema-marconato/nesy-cl/blob/HEAD/models/cool.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"68ac932d64459c47","mcp_get_code":{"code_sha256":"68ac932d64459c47"}},{"arxiv_id":"2201.12604","paper":"/paper/learning-fast-learning-slow-a-general-1","title":"Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System","date":"2022-01-29","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"NeurAI-Lab/CLS-ER","path":"models/clser.py","file_url":"https://github.com/NeurAI-Lab/CLS-ER/blob/HEAD/models/clser.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"364c8278b0b06479","mcp_get_code":{"code_sha256":"364c8278b0b06479"}},{"arxiv_id":"2110.06976","paper":"/paper/rethinking-the-representational-continuity-1","title":"Representational Continuity for Unsupervised Continual Learning","date":"2021-10-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"divyam3897/ucl","path":"models/mixup.py","file_url":"https://github.com/divyam3897/ucl/blob/HEAD/models/mixup.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"903bc2472f853661","mcp_get_code":{"code_sha256":"903bc2472f853661"}}]}