{"id":"https://openalex.org/W4378419883","doi":"https://doi.org/10.1007/978-3-031-33374-3_41","title":"GroupMixNorm Layer for\u00a0Learning Fair Models","display_name":"GroupMixNorm Layer for\u00a0Learning Fair Models","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4378419883","doi":"https://doi.org/10.1007/978-3-031-33374-3_41"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-33374-3_41","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-33374-3_41","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":"book-chapter","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2312.11969","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041382029","display_name":"Anubha Pandey","orcid":"https://orcid.org/0000-0002-4695-0947"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Anubha Pandey","raw_affiliation_strings":["AI Garage, Mastercard, Delhi, India"],"affiliations":[{"raw_affiliation_string":"AI Garage, Mastercard, Delhi, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102962688","display_name":"Aditi Rai","orcid":"https://orcid.org/0009-0009-9298-7861"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aditi Rai","raw_affiliation_strings":["AI Garage, Mastercard, Delhi, India"],"affiliations":[{"raw_affiliation_string":"AI Garage, Mastercard, Delhi, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084235091","display_name":"Maneet Singh","orcid":"https://orcid.org/0000-0001-5086-1026"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maneet Singh","raw_affiliation_strings":["AI Garage, Mastercard, Delhi, India"],"affiliations":[{"raw_affiliation_string":"AI Garage, Mastercard, Delhi, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103249245","display_name":"Deepak Bhatt","orcid":"https://orcid.org/0000-0003-3694-1315"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deepak Bhatt","raw_affiliation_strings":["AI Garage, Mastercard, Delhi, India"],"affiliations":[{"raw_affiliation_string":"AI Garage, Mastercard, Delhi, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088379045","display_name":"Tanmoy Bhowmik","orcid":"https://orcid.org/0000-0002-3344-9213"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tanmoy Bhowmik","raw_affiliation_strings":["AI Garage, Mastercard, Delhi, India"],"affiliations":[{"raw_affiliation_string":"AI Garage, Mastercard, Delhi, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041382029"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.9495,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74655381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"520","last_page":"531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9355999827384949,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.913100004196167,"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/computer-science","display_name":"Computer science","score":0.7887675762176514},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7167722582817078},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.622117280960083},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5761274695396423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5745068788528442},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5298925042152405},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43937402963638306},{"id":"https://openalex.org/keywords/odds","display_name":"Odds","score":0.4391198754310608},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4137040674686432},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.10369947552680969}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7887675762176514},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7167722582817078},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.622117280960083},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5761274695396423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5745068788528442},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5298925042152405},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43937402963638306},{"id":"https://openalex.org/C143095724","wikidata":"https://www.wikidata.org/wiki/Q515895","display_name":"Odds","level":3,"score":0.4391198754310608},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4137040674686432},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.10369947552680969},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-031-33374-3_41","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-33374-3_41","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"},{"id":"pmh:oai:arXiv.org:2312.11969","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.11969","pdf_url":"https://arxiv.org/pdf/2312.11969","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2312.11969","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.11969","pdf_url":"https://arxiv.org/pdf/2312.11969","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4378419883.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2530395818","https://openalex.org/W2594166818","https://openalex.org/W2624319794","https://openalex.org/W2753845591","https://openalex.org/W2765407302","https://openalex.org/W2809878087","https://openalex.org/W2810542350","https://openalex.org/W2921861056","https://openalex.org/W2949200088","https://openalex.org/W2962718185","https://openalex.org/W2963116854","https://openalex.org/W2963350032","https://openalex.org/W3034410824","https://openalex.org/W3035026192","https://openalex.org/W3035723985","https://openalex.org/W3120740533","https://openalex.org/W3131157458","https://openalex.org/W3134344239","https://openalex.org/W3177313640","https://openalex.org/W3180707540","https://openalex.org/W4288287305","https://openalex.org/W4297795193","https://openalex.org/W4300833946"],"related_works":["https://openalex.org/W1604849300","https://openalex.org/W2378211422","https://openalex.org/W4231328776","https://openalex.org/W2766061861","https://openalex.org/W4321353415","https://openalex.org/W1604293003","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W1979850356"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}