{"url":"/task/concept-based-classification","name":"Concept-based Classification","slug":"concept-based-classification","description_markdown":"Image classification using human-interpretable concepts","categories":[{"name":"Computer Vision","url":"/area/computer-vision"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":1,"papers_with_code":1,"benchmarks":5,"benchmark_tables_in_archive":5,"benchmark_tables_shown":5,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":6,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/concept-based-classification-on-awa2","slug":"concept-based-classification-on-awa2","dataset":"AwA2","dataset_url":"/dataset/awa2-1","rows_in_archive":2,"metrics":["Task Accuracy (%)","Concept Accuracy (%)"],"first_row_in_archive_order":{"model":"EQ-CBM (ResNet-34)","paper_title":"EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and Quantized Vectors","paper_url":"/paper/eq-cbm-a-probabilistic-concept-bottleneck-1","paper_date":"2024-09-22","arxiv_id":"2409.14630","code_links":[],"syntology":null}},{"leaderboard":"/sota/concept-based-classification-on-celeba","slug":"concept-based-classification-on-celeba","dataset":"CelebA","dataset_url":"/dataset/celeba","rows_in_archive":2,"metrics":["Task Accuracy (%)","Concept Accuracy (%)"],"first_row_in_archive_order":{"model":"EQ-CBM (ResNet-34)","paper_title":"EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and Quantized Vectors","paper_url":"/paper/eq-cbm-a-probabilistic-concept-bottleneck-1","paper_date":"2024-09-22","arxiv_id":"2409.14630","code_links":[],"syntology":null}},{"leaderboard":"/sota/concept-based-classification-on-cub-200-2011","slug":"concept-based-classification-on-cub-200-2011","dataset":"CUB-200-2011","dataset_url":"/dataset/cub-200-2011","rows_in_archive":2,"metrics":["Task Accuracy (%)","Concept Accuracy (%)"],"first_row_in_archive_order":{"model":"CGEM (ResNet-34)","paper_title":"Concept Graph Embedding Models for Enhanced Accuracy and Interpretability","paper_url":"/paper/concept-graph-embedding-models-for-enhanced","paper_date":"2024-08-13","arxiv_id":null,"code_links":[{"title":"jumpsnack/cgem","url":"https://github.com/jumpsnack/cgem"}],"syntology":null}},{"leaderboard":"/sota/concept-based-classification-on-apy","slug":"concept-based-classification-on-apy","dataset":"aPY","dataset_url":"/dataset/apy","rows_in_archive":1,"metrics":["Task Accuracy (%)","Concept Accuracy (%)"],"first_row_in_archive_order":{"model":"CGEM (ResNet-34)","paper_title":"Concept Graph Embedding Models for Enhanced Accuracy and Interpretability","paper_url":"/paper/concept-graph-embedding-models-for-enhanced","paper_date":"2024-08-13","arxiv_id":null,"code_links":[{"title":"jumpsnack/cgem","url":"https://github.com/jumpsnack/cgem"}],"syntology":null}},{"leaderboard":"/sota/concept-based-classification-on-chexpert","slug":"concept-based-classification-on-chexpert","dataset":"CheXpert","dataset_url":"/dataset/chexpert","rows_in_archive":1,"metrics":["Task Accuracy (%)","Concept Accuracy (%)"],"first_row_in_archive_order":{"model":"CGEM (ResNet-34)","paper_title":"Concept Graph Embedding Models for Enhanced Accuracy and Interpretability","paper_url":"/paper/concept-graph-embedding-models-for-enhanced","paper_date":"2024-08-13","arxiv_id":null,"code_links":[{"title":"jumpsnack/cgem","url":"https://github.com/jumpsnack/cgem"}],"syntology":null}}],"datasets":[{"url":"/dataset/celeba","name":"CelebA","full_name":"CelebFaces Attributes Dataset","num_papers_in_archive":3477},{"url":"/dataset/cub-200-2011","name":"CUB-200-2011","full_name":"Caltech-UCSD Birds-200-2011","num_papers_in_archive":2235},{"url":"/dataset/chexpert","name":"CheXpert","full_name":"CheXpert","num_papers_in_archive":628},{"url":"/dataset/awa-1","name":"AwA","full_name":"Animals with Attributes","num_papers_in_archive":264},{"url":"/dataset/awa2-1","name":"AwA2","full_name":"Animals with Attributes 2","num_papers_in_archive":231},{"url":"/dataset/apy","name":"aPY","full_name":"Attribute Pascal and Yahoo","num_papers_in_archive":147}],"subtasks":[],"parent_tasks":[{"url":"/task/image-classification","name":"Image Classification"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":1,"of":1,"tagged_in_all":1,"items":[{"url":"/paper/concept-graph-embedding-models-for-enhanced","title":"Concept Graph Embedding Models for Enhanced Accuracy and Interpretability","date":"2024-08-13","arxiv_id":null,"repositories_listed":1,"syntology":null}],"syntology_records":0,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","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)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}