{"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/bayesian-optimization-meets-self-distillation","title":"Bayesian Optimization Meets Self-Distillation","arxiv_id":"2304.12666","date":"2023-04-25","proceeding":"ICCV 2023 1","authors":["Hyunjae Lee","Heon Song","Hyeonsoo Lee","Gi-hyeon Lee","Suyeong Park","Donggeun Yoo"],"abstract":"Bayesian optimization (BO) has contributed greatly to improving model performance by suggesting promising hyperparameter configurations iteratively based on observations from multiple training trials. However, only partial knowledge (i.e., the measured performances of trained models and their hyperparameter configurations) from previous trials is transferred. On the other hand, Self-Distillation (SD) only transfers partial knowledge learned by the task model itself. To fully leverage the various knowledge gained from all training trials, we propose the BOSS framework, which combines BO and SD. BOSS suggests promising hyperparameter configurations through BO and carefully selects pre-trained models from previous trials for SD, which are otherwise abandoned in the conventional BO process. BOSS achieves significantly better performance than both BO and SD in a wide range of tasks including general image classification, learning with noisy labels, semi-supervised learning, and medical image analysis tasks.","url_abs":"https://arxiv.org/abs/2304.12666v2","url_pdf":"https://arxiv.org/pdf/2304.12666v2.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":"bayesian-optimization-meets-self-distillation","repo_url":"https://github.com/sooperset/boss","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"bayesian-optimization","task_name":"Bayesian Optimization"},{"task_slug":"image-classification","task_name":"Image Classification"},{"task_slug":"learning-with-noisy-labels","task_name":"Learning with noisy labels"},{"task_slug":"medical-image-analysis","task_name":"Medical Image Analysis"},{"task_slug":"image-classification","task_name":"image-classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2304.12666","atlas_url":"https://app.syntology.ai/?focus=2304.12666","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2304.12666"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+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":"deterministic:regex_extraction","url":"https://github.com/sooperset/boss","reach":{"status":"ok","spdx":"MIT"}}],"summary":{"ran":1,"ran_draft_wrong":1,"unverified":5},"by_repo_kind":{"official":{"samples":7,"ran":2,"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":"ac62432dc5134b0d","entry":"make_layers","repo":"sooperset/boss","repo_kind":"official","path":"models/cifar/vgg.py","file_url":"https://github.com/sooperset/boss/blob/HEAD/models/cifar/vgg.py","link_basis":"harvester_set","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":"ac62432dc5134b0d"}},{"code_sha256_prefix":"50afa2863ffd9fde","entry":"plot_overlap","repo":"sooperset/boss","repo_kind":"official","path":"utils/logger.py","file_url":"https://github.com/sooperset/boss/blob/HEAD/utils/logger.py","link_basis":"harvester_set","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":"50afa2863ffd9fde"}},{"code_sha256_prefix":"c87e7665fde6cdfc","entry":"colorize","repo":"sooperset/boss","repo_kind":"official","path":"utils/visualize.py","file_url":"https://github.com/sooperset/boss/blob/HEAD/utils/visualize.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"c87e7665fde6cdfc"}},{"code_sha256_prefix":"d66f0a3cbb86204c","entry":"gauss","repo":"sooperset/boss","repo_kind":"official","path":"utils/visualize.py","file_url":"https://github.com/sooperset/boss/blob/HEAD/utils/visualize.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"d66f0a3cbb86204c"}},{"code_sha256_prefix":"1d6e2edb8832d7b0","entry":"get_mean_and_std","repo":"sooperset/boss","repo_kind":"official","path":"utils/misc.py","file_url":"https://github.com/sooperset/boss/blob/HEAD/utils/misc.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"1d6e2edb8832d7b0"}},{"code_sha256_prefix":"1394422d51c4b126","entry":"make_image","repo":"sooperset/boss","repo_kind":"official","path":"utils/visualize.py","file_url":"https://github.com/sooperset/boss/blob/HEAD/utils/visualize.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"1394422d51c4b126"}},{"code_sha256_prefix":"7fce49869492eca4","entry":"run_trial","repo":"sooperset/boss","repo_kind":"official","path":"cifar_boss.py","file_url":"https://github.com/sooperset/boss/blob/HEAD/cifar_boss.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"7fce49869492eca4"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}