{"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":"/paper/active-one-shot-learning","title":"Active One-shot Learning","arxiv_id":"1702.06559","date":"2017-02-21","proceeding":null,"authors":["Mark Woodward","Chelsea Finn"],"abstract":"Recent advances in one-shot learning have produced models that can learn from\na handful of labeled examples, for passive classification and regression tasks.\nThis paper combines reinforcement learning with one-shot learning, allowing the\nmodel to decide, during classification, which examples are worth labeling. We\nintroduce a classification task in which a stream of images are presented and,\non each time step, a decision must be made to either predict a label or pay to\nreceive the correct label. We present a recurrent neural network based\naction-value function, and demonstrate its ability to learn how and when to\nrequest labels. Through the choice of reward function, the model can achieve a\nhigher prediction accuracy than a similar model on a purely supervised task, or\ntrade prediction accuracy for fewer label requests.","url_abs":"http://arxiv.org/abs/1702.06559v1","url_pdf":"http://arxiv.org/pdf/1702.06559v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"active-one-shot-learning","repo_url":"https://github.com/markpwoodward/active_osl","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"active-one-shot-learning","repo_url":"https://github.com/sheetalreddy/One-shot-learning","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"one-shot-learning","task_name":"One-Shot Learning"},{"task_slug":"reinforcement-learning","task_name":"Reinforcement Learning"},{"task_slug":"reinforcement-learning-1","task_name":"Reinforcement Learning (RL)"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1702.06559","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1702.06559"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/sheetalreddy/One-shot-learning","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/markpwoodward/active_osl","reach":null}],"summary":{"ran_draft_wrong":1},"by_repo_kind":{"official":{"samples":1,"ran":1,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"33aea1a29953d87a","entry":"episode","repo":"markpwoodward/active_osl","repo_kind":"official","path":"model.py","file_url":"https://github.com/markpwoodward/active_osl/blob/HEAD/model.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"33aea1a29953d87a"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}