{"id":"https://openalex.org/W4403582431","doi":"https://doi.org/10.1145/3627673.3679539","title":"Discrepancy-guided Channel Dropout for Domain Generalization","display_name":"Discrepancy-guided Channel Dropout for Domain Generalization","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403582431","doi":"https://doi.org/10.1145/3627673.3679539"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3679539","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627673.3679539","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3627673.3679539","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103156774","display_name":"Seonggyeom Kim","orcid":"https://orcid.org/0009-0006-8506-969X"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Seonggyeom Kim","raw_affiliation_strings":["Hanyang University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028940072","display_name":"Byeongtae Park","orcid":"https://orcid.org/0009-0000-4459-0311"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byeongtae Park","raw_affiliation_strings":["Hanyang University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103578693","display_name":"Harim Lee","orcid":"https://orcid.org/0009-0002-9022-291X"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Harim Lee","raw_affiliation_strings":["Hanyang University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036440250","display_name":"Dong\u2010Kyu Chae","orcid":"https://orcid.org/0000-0002-5410-6391"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong-Kyu Chae","raw_affiliation_strings":["Hanyang University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103156774"],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":null,"apc_paid":null,"fwci":0.3198,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64147806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1110","last_page":"1120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.9886000156402588,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9763000011444092,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7074189186096191},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.6483443379402161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5951851606369019},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.47679662704467773},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33355963230133057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3301100432872772},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22206208109855652},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21899151802062988},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10926371812820435}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7074189186096191},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.6483443379402161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5951851606369019},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.47679662704467773},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33355963230133057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3301100432872772},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22206208109855652},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21899151802062988},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10926371812820435},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627673.3679539","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627673.3679539","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3627673.3679539","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627673.3679539","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1987971958","https://openalex.org/W2051224630","https://openalex.org/W2108598243","https://openalex.org/W2167366427","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2627183927","https://openalex.org/W2763549966","https://openalex.org/W2770645414","https://openalex.org/W2798658180","https://openalex.org/W2883386984","https://openalex.org/W2884366600","https://openalex.org/W2963187488","https://openalex.org/W2997669187","https://openalex.org/W3106539628","https://openalex.org/W3107499124","https://openalex.org/W3109831211","https://openalex.org/W3133542152","https://openalex.org/W3153511633","https://openalex.org/W3160132954","https://openalex.org/W3175215201","https://openalex.org/W3177450132","https://openalex.org/W3207238119","https://openalex.org/W3212348395","https://openalex.org/W3212908511","https://openalex.org/W4235169531","https://openalex.org/W4292787479","https://openalex.org/W4294839759","https://openalex.org/W4297999738","https://openalex.org/W4312972638","https://openalex.org/W4385801239","https://openalex.org/W4386065806","https://openalex.org/W4386066070","https://openalex.org/W4386066238","https://openalex.org/W4386083140","https://openalex.org/W4390872977","https://openalex.org/W4390873036","https://openalex.org/W4394593173","https://openalex.org/W6771876938","https://openalex.org/W6796913975"],"related_works":["https://openalex.org/W3082178636","https://openalex.org/W2782041652","https://openalex.org/W2051487156","https://openalex.org/W2612657834","https://openalex.org/W2392157706","https://openalex.org/W2599192953","https://openalex.org/W1987310671","https://openalex.org/W2952088488","https://openalex.org/W1521968289","https://openalex.org/W4225691210"],"abstract_inverted_index":{"Deep":[0],"Neural":[1],"Networks":[2],"(DNNs)":[3],"tend":[4],"to":[5,12,19,159,165,191],"perform":[6,104],"poorly":[7],"on":[8,23,111,126],"unseen":[9],"domains":[10,90],"due":[11],"domain":[13,194],"shifts.":[14],"Domain":[15],"Generalization":[16],"(DG)":[17],"aims":[18],"improve":[20],"the":[21,28,53,65,87,93,112,115,127,133,136,143,160,171,176,181,193],"performance":[22],"such":[24],"scenarios":[25],"by":[26],"minimizing":[27,52],"distribution":[29,66,97],"discrepancy":[30,67,88,144,161],"between":[31,89],"source":[32,121],"domains.":[33],"Among":[34],"many":[35],"studies,":[36],"dropout-based":[37],"DG":[38,83,178],"approaches":[39],"which":[40,187],"remove":[41],"domain-specific":[42],"features":[43],"have":[44],"gained":[45],"attention.":[46],"However,":[47],"they":[48,60],"are":[49],"limited":[50],"in":[51,132],"upper":[54],"bound":[55],"of":[56,107,114,129,173,183],"generalization":[57],"risk":[58],"because":[59],"do":[61],"not":[62],"explicitly":[63,85,141],"consider":[64],"when":[68],"discarding":[69],"features.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74,103,140],"propose":[75],"a":[76,100,156],"novel":[77],"Discrepancy-guided":[78],"Channel":[79],"Dropout":[80],"(DgCD)":[81],"for":[82],"that":[84],"derives":[86],"and":[91,123,147],"drops":[92],"channels":[94],"with":[95,155],"significant":[96],"discrepancy.":[98,195],"Given":[99],"training":[101],"batch,":[102],"two":[105,137],"ways":[106],"standardization:":[108],"(1)":[109],"based":[110,125],"variance/mean":[113,128],"batch":[116],"(i.e.,":[117],"sampled":[118],"from":[119],"all":[120],"domains)":[122],"(2)":[124],"domain-wise":[130],"samples":[131],"batch.":[134],"With":[135],"normal":[138],"distributions,":[139],"derive":[142],"using":[145],"KL-divergence":[146],"backpropagate":[148],"it":[149],"towards":[150],"each":[151],"channel.":[152],"A":[153],"channel":[154],"higher":[157],"contribution":[158],"is":[162,188,198],"more":[163],"likely":[164],"be":[166],"dropped.":[167],"Experimental":[168],"results":[169],"show":[170],"superiority":[172],"DgCD":[174],"over":[175],"state-of-the-art":[177],"baselines,":[179],"demonstrating":[180],"effectiveness":[182],"our":[184],"dropout":[185],"strategy":[186],"directly":[189],"coupled":[190],"reducing":[192],"Our":[196],"code":[197],"available":[199],"at:":[200],"https://github.com/gyeomo/DgCD":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
