{"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/semi-supervised-learning-with-context","title":"Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks","arxiv_id":"1611.06430","date":"2016-11-19","proceeding":null,"authors":["Emily Denton","Sam Gross","Rob Fergus"],"abstract":"We introduce a simple semi-supervised learning approach for images based on\nin-painting using an adversarial loss. Images with random patches removed are\npresented to a generator whose task is to fill in the hole, based on the\nsurrounding pixels. The in-painted images are then presented to a discriminator\nnetwork that judges if they are real (unaltered training images) or not. This\ntask acts as a regularizer for standard supervised training of the\ndiscriminator. Using our approach we are able to directly train large VGG-style\nnetworks in a semi-supervised fashion. We evaluate on STL-10 and PASCAL\ndatasets, where our approach obtains performance comparable or superior to\nexisting methods.","url_abs":"http://arxiv.org/abs/1611.06430v1","url_pdf":"http://arxiv.org/pdf/1611.06430v1.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":"semi-supervised-learning-with-context","repo_url":"https://github.com/edenton/cc-gan","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"semi-supervised-learning-with-context","repo_url":"https://github.com/Nirvan101/Image-Restoration-deep-learning","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"semi-supervised-learning-with-context","repo_url":"https://github.com/eriklindernoren/Keras-GAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"semi-supervised-learning-with-context","repo_url":"https://github.com/eriklindernoren/PyTorch-GAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"semi-supervised-learning-with-context","repo_url":"https://github.com/mojc/GAN_lesion_filling","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"semi-supervised-learning-with-context","repo_url":"https://github.com/zcemycl/Matlab-GAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"semi-supervised-learning-with-context","repo_url":"https://github.com/zll17/Neural_Topic_Models","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"image-classification","task_name":"Image Classification"},{"task_slug":"semi-supervised-image-classification","task_name":"Semi-Supervised Image Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/image-classification-on-stl-10","task":"Image Classification","dataset":"STL-10","model":"CC-GAN²","rank_in_archive_order":69,"of":117,"metrics":{"Percentage correct":"77.8"},"uses_additional_data":false},{"leaderboard":"/sota/semi-supervised-image-classification-on-stl-1","task":"Semi-Supervised Image Classification","dataset":"STL-10, 1000 Labels","model":"CC-GAN²","rank_in_archive_order":11,"of":13,"metrics":{"Accuracy":"77.80"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1611.06430","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1611.06430"}},"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/zcemycl/Matlab-GAN","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/Nirvan101/Image-Restoration-deep-learning","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/mojc/GAN_lesion_filling","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/eriklindernoren/Keras-GAN","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/zll17/Neural_Topic_Models","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/eriklindernoren/PyTorch-GAN","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/edenton/cc-gan","reach":{"status":"ok"}}],"summary":{"unverified":1},"by_repo_kind":{"listed":{"samples":1,"ran":0,"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":"46da871ca5fe3c51","entry":"apply_random_mask","repo":"eriklindernoren/PyTorch-GAN","repo_kind":"listed","path":"implementations/ccgan/ccgan.py","file_url":"https://github.com/eriklindernoren/PyTorch-GAN/blob/HEAD/implementations/ccgan/ccgan.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":"46da871ca5fe3c51"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}