{"id":"https://openalex.org/W4205098205","doi":"https://doi.org/10.1145/3493700.3493714","title":"A Riemannian Approach to Extreme Classification Problems","display_name":"A Riemannian Approach to Extreme Classification Problems","publication_year":2022,"publication_date":"2022-01-07","ids":{"openalex":"https://openalex.org/W4205098205","doi":"https://doi.org/10.1145/3493700.3493714"},"language":"en","primary_location":{"id":"doi:10.1145/3493700.3493714","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3493700.3493714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Joint International Conference on Data Science &amp; Management of Data (9th ACM IKDD CODS and 27th COMAD)","raw_type":"proceedings-article"},"type":"article","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/A5061853469","display_name":"Jayadev Naram","orcid":"https://orcid.org/0000-0003-3430-3926"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Jayadev Naram","raw_affiliation_strings":["International Institute of Information Technology, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071977537","display_name":"Tanmay Kumar Sinha","orcid":"https://orcid.org/0000-0002-1937-8682"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tanmay Kumar Sinha","raw_affiliation_strings":["International Institute of Information Technology Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067384528","display_name":"Pawan Kumar","orcid":"https://orcid.org/0000-0001-5632-6964"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pawan Kumar","raw_affiliation_strings":["IIIT, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"IIIT, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061853469"],"corresponding_institution_ids":["https://openalex.org/I64189192"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.487328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"54","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998999834060669,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9998999834060669,"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/T10057","display_name":"Face and Expression Recognition","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.8130516409873962},{"id":"https://openalex.org/keywords/riemannian-manifold","display_name":"Riemannian manifold","score":0.584669291973114},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.5555378794670105},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5188992619514465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5098623633384705},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.49478667974472046},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44401827454566956},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4316033720970154},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41793811321258545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26757949590682983},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06944364309310913}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.8130516409873962},{"id":"https://openalex.org/C2779593128","wikidata":"https://www.wikidata.org/wiki/Q632814","display_name":"Riemannian manifold","level":2,"score":0.584669291973114},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.5555378794670105},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5188992619514465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5098623633384705},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49478667974472046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44401827454566956},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4316033720970154},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41793811321258545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26757949590682983},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06944364309310913},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3493700.3493714","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3493700.3493714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Joint International Conference on Data Science &amp; Management of Data (9th ACM IKDD CODS and 27th COMAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2027869746","https://openalex.org/W2058078260","https://openalex.org/W2068074736","https://openalex.org/W2117198760","https://openalex.org/W2126407450","https://openalex.org/W2183087644","https://openalex.org/W2607041163","https://openalex.org/W2739996966","https://openalex.org/W2743021690","https://openalex.org/W2744136723","https://openalex.org/W2782759081","https://openalex.org/W2788125153","https://openalex.org/W2903995686","https://openalex.org/W2904850325","https://openalex.org/W2911319979","https://openalex.org/W2912500072","https://openalex.org/W2914874661","https://openalex.org/W2970574105","https://openalex.org/W2999320195","https://openalex.org/W3080802002","https://openalex.org/W3117196003","https://openalex.org/W3177232285","https://openalex.org/W4205293427","https://openalex.org/W6638599789","https://openalex.org/W6789091562","https://openalex.org/W6818886004"],"related_works":["https://openalex.org/W2129688774","https://openalex.org/W4281482914","https://openalex.org/W1428120794","https://openalex.org/W2900415423","https://openalex.org/W1629152045","https://openalex.org/W3026405273","https://openalex.org/W2022035166","https://openalex.org/W2970256865","https://openalex.org/W2507260982","https://openalex.org/W2963691938"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,38,44],"novel":[3],"Riemannian":[4,45,55],"method":[5,57],"called":[6],"\u201cRXML\u201d":[7],"for":[8,52],"solving":[9],"the":[10,17,21,53,86,94,99,118],"Extreme":[11],"multi-label":[12,70],"classification":[13],"problem":[14,30,36],"that":[15,83,111],"exploits":[16],"geometric":[18],"structure":[19],"of":[20,50,97,102,112],"sparse":[22],"low-dimensional":[23],"local":[24],"embedding":[25],"models.":[26],"A":[27,48],"constrained":[28],"optimization":[29,35,46,56],"is":[31,58,63,75],"formulated":[32],"as":[33],"an":[34],"on":[37,65],"matrix":[39],"manifold":[40],"and":[41,72,91,114],"solved":[42],"using":[43],"method.":[47],"proof":[49],"convergence":[51],"proposed":[54,61],"stated.":[59],"The":[60],"approach":[62],"tested":[64],"several":[66],"real-world":[67],"large":[68],"scale":[69],"datasets,":[71],"its":[73],"usefulness":[74],"demonstrated":[76],"through":[77],"numerical":[78],"experiments.":[79],"Experimental":[80],"results":[81],"show":[82],"RXML":[84,103],"improves":[85],"trade-off":[87],"between":[88],"train":[89,100],"time":[90,101],"accuracy.":[92],"At":[93],"similar":[95],"level":[96],"accuracy,":[98],"was":[104],"1.5":[105],"to":[106],"4":[107],"times":[108],"faster":[109],"than":[110],"AnnexML":[113],"EXMLDS-4,":[115],"which":[116],"are":[117],"state-of-the-art":[119],"embedding-based":[120],"methods.":[121]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
