{"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/crossentropylabelsmooth","entry":"CrossEntropyLabelSmooth","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":5,"n_papers_ran":5,"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":5,"n_samples_ran":5,"n_samples_fingerprinted":0,"n_places":5,"n_places_pointer_only":4,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":5,"unverified":0},"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":"2412.14301","paper":"/paper/what-has-been-overlooked-in-contrastive","title":"What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context","date":"2024-12-18","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"jingwang18/silan","path":"loss.py","file_url":"https://github.com/jingwang18/silan/blob/HEAD/loss.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"4cae1851231abfda","mcp_get_code":{"code_sha256":"4cae1851231abfda"}},{"arxiv_id":"2203.14675","paper":"/paper/part-based-pseudo-label-refinement-for","title":"Part-based Pseudo Label Refinement for Unsupervised Person Re-identification","date":"2022-03-28","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"yoonkicho/pplr","path":"pplr/trainers.py","file_url":"https://github.com/yoonkicho/pplr/blob/HEAD/pplr/trainers.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"0cf8fe3e43a36de3","mcp_get_code":{"code_sha256":"0cf8fe3e43a36de3"}},{"arxiv_id":"2201.09785","paper":"/paper/unifying-and-boosting-gradient-based-training","title":"Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search","date":"2022-01-24","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"shuyao95/HNAS","path":"darts_space/search.py","file_url":"https://github.com/shuyao95/HNAS/blob/HEAD/darts_space/search.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"7314f4a68ed86e01","mcp_get_code":{"code_sha256":"7314f4a68ed86e01"}},{"arxiv_id":"2105.04776","paper":"/paper/graph-consistency-based-mean-teaching-for","title":"Graph Consistency Based Mean-Teaching for Unsupervised Domain Adaptive Person Re-Identification","date":"2021-05-11","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"liu-xb/GCMT","path":"gcc/trainer_v2.py","file_url":"https://github.com/liu-xb/GCMT/blob/HEAD/gcc/trainer_v2.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"96664332f74c696f","mcp_get_code":{"code_sha256":"96664332f74c696f"}},{"arxiv_id":"2103.12366","paper":"/paper/group-aware-label-transfer-for-domain","title":"Group-aware Label Transfer for Domain Adaptive Person Re-identification","date":"2021-03-23","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"zkcys001/UDAStrongBaseline","path":"UDAsbs/trainers.py","file_url":"https://github.com/zkcys001/UDAStrongBaseline/blob/HEAD/UDAsbs/trainers.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"67098de4b6d84be8","mcp_get_code":{"code_sha256":"67098de4b6d84be8"}}]}