{"id":"https://openalex.org/W4312751875","doi":"https://doi.org/10.1007/978-3-031-20044-1_40","title":"OccamNets: Mitigating Dataset Bias by\u00a0Favoring Simpler Hypotheses","display_name":"OccamNets: Mitigating Dataset Bias by\u00a0Favoring Simpler Hypotheses","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312751875","doi":"https://doi.org/10.1007/978-3-031-20044-1_40"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-20044-1_40","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-20044-1_40","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031427851","display_name":"Robik Shrestha","orcid":"https://orcid.org/0000-0002-0945-3458"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robik Shrestha","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, USA"],"raw_orcid":"https://orcid.org/0000-0002-0945-3458","affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047193437","display_name":"Kushal Kafle","orcid":"https://orcid.org/0000-0002-0847-7861"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kushal Kafle","raw_affiliation_strings":["Adobe Research, San Jose, USA"],"raw_orcid":"https://orcid.org/0000-0002-0847-7861","affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046979072","display_name":"Christopher Kanan","orcid":"https://orcid.org/0000-0002-6412-995X"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]},{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Kanan","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, USA","University of Rochester, Rochester, USA"],"raw_orcid":"https://orcid.org/0000-0002-6412-995X","affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, USA","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"University of Rochester, Rochester, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"702","last_page":"721"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inductive-bias","display_name":"Inductive bias","score":0.8669431805610657},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8462726473808289},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.8016252517700195},{"id":"https://openalex.org/keywords/occam","display_name":"occam","score":0.7716130018234253},{"id":"https://openalex.org/keywords/debiasing","display_name":"Debiasing","score":0.7277988195419312},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6592127680778503},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6453242301940918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5968614220619202},{"id":"https://openalex.org/keywords/occams-razor","display_name":"Occam's razor","score":0.5902988910675049},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5210387110710144},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.48468950390815735},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4382263422012329},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.4167936444282532},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.1506049633026123},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.10988941788673401},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08745399117469788},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08033198118209839}],"concepts":[{"id":"https://openalex.org/C197352929","wikidata":"https://www.wikidata.org/wiki/Q1074074","display_name":"Inductive bias","level":4,"score":0.8669431805610657},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8462726473808289},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.8016252517700195},{"id":"https://openalex.org/C78469957","wikidata":"https://www.wikidata.org/wiki/Q838062","display_name":"occam","level":2,"score":0.7716130018234253},{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.7277988195419312},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6592127680778503},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6453242301940918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5968614220619202},{"id":"https://openalex.org/C64802038","wikidata":"https://www.wikidata.org/wiki/Q131012","display_name":"Occam's razor","level":2,"score":0.5902988910675049},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5210387110710144},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.48468950390815735},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4382263422012329},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.4167936444282532},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.1506049633026123},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.10988941788673401},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08745399117469788},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08033198118209839},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-20044-1_40","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-20044-1_40","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1981276685","https://openalex.org/W1998305460","https://openalex.org/W2031342017","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2118978333","https://openalex.org/W2148143831","https://openalex.org/W2194775991","https://openalex.org/W2732026016","https://openalex.org/W2745461083","https://openalex.org/W2962677625","https://openalex.org/W2962858109","https://openalex.org/W2963116854","https://openalex.org/W2963140463","https://openalex.org/W2963150697","https://openalex.org/W2963350032","https://openalex.org/W2963446712","https://openalex.org/W2963644680","https://openalex.org/W2963691377","https://openalex.org/W2964319207","https://openalex.org/W2970019270","https://openalex.org/W2982083293","https://openalex.org/W2982358316","https://openalex.org/W3007592798","https://openalex.org/W3019321633","https://openalex.org/W3033737024","https://openalex.org/W3034410824","https://openalex.org/W3035517717","https://openalex.org/W3100895823","https://openalex.org/W3102259594","https://openalex.org/W3102775700","https://openalex.org/W3138516171","https://openalex.org/W3141609294","https://openalex.org/W3160359250","https://openalex.org/W3166510965","https://openalex.org/W3167224913","https://openalex.org/W3181414820","https://openalex.org/W3203690435","https://openalex.org/W3204222276","https://openalex.org/W4312820606","https://openalex.org/W6600738943","https://openalex.org/W6600804206","https://openalex.org/W6618372016","https://openalex.org/W6651104014","https://openalex.org/W6726154746","https://openalex.org/W6795140394"],"related_works":["https://openalex.org/W2949846021","https://openalex.org/W2951568450","https://openalex.org/W3023590748","https://openalex.org/W1731670240","https://openalex.org/W2966907487","https://openalex.org/W2140251433","https://openalex.org/W2890711507","https://openalex.org/W3089171036","https://openalex.org/W2159971459","https://openalex.org/W2385310937"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
