{"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/cossl-co-learning-of-representation-and","title":"CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning","arxiv_id":"2112.04564","date":"2021-12-08","proceeding":"CVPR 2022 1","authors":["Yue Fan","Dengxin Dai","Anna Kukleva","Bernt Schiele"],"abstract":"In this paper, we propose a novel co-learning framework (CoSSL) with decoupled representation learning and classifier learning for imbalanced SSL. To handle the data imbalance, we devise Tail-class Feature Enhancement (TFE) for classifier learning. Furthermore, the current evaluation protocol for imbalanced SSL focuses only on balanced test sets, which has limited practicality in real-world scenarios. Therefore, we further conduct a comprehensive evaluation under various shifted test distributions. In experiments, we show that our approach outperforms other methods over a large range of shifted distributions, achieving state-of-the-art performance on benchmark datasets ranging from CIFAR-10, CIFAR-100, ImageNet, to Food-101. Our code will be made publicly available.","url_abs":"https://arxiv.org/abs/2112.04564v3","url_pdf":"https://arxiv.org/pdf/2112.04564v3.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":"cossl-co-learning-of-representation-and","repo_url":"https://github.com/yue-fan/cossl","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"representation-learning","task_name":"Representation Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2112.04564","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2112.04564"}},"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/yue-fan/cossl","reach":null}],"summary":{"ran":4},"by_repo_kind":{"official":{"samples":4,"ran":4,"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":"a4917ae1314a3442","entry":"conv3x3","repo":"yue-fan/cossl","repo_kind":"official","path":"models/wrn.py","file_url":"https://github.com/yue-fan/cossl/blob/HEAD/models/wrn.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"a4917ae1314a3442"}},{"code_sha256_prefix":"e505e5ca89449ae4","entry":"make_imb_data","repo":"yue-fan/cossl","repo_kind":"official","path":"eval_shifted_test_distribution.py","file_url":"https://github.com/yue-fan/cossl/blob/HEAD/eval_shifted_test_distribution.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"e505e5ca89449ae4"}},{"code_sha256_prefix":"e820fb1a834af854","entry":"train_split","repo":"yue-fan/cossl","repo_kind":"official","path":"dataset/fix_small_imagenet127.py","file_url":"https://github.com/yue-fan/cossl/blob/HEAD/dataset/fix_small_imagenet127.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"e820fb1a834af854"}},{"code_sha256_prefix":"aa76a3ffaf5a3382","entry":"train_split","repo":"yue-fan/cossl","repo_kind":"official","path":"eval_shifted_test_distribution.py","file_url":"https://github.com/yue-fan/cossl/blob/HEAD/eval_shifted_test_distribution.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"aa76a3ffaf5a3382"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}