{"id":"https://openalex.org/W7117470140","doi":"https://doi.org/10.1109/dicta68720.2025.11302495","title":"Learning to Defer to A Population with Limited Demonstrations","display_name":"Learning to Defer to A Population with Limited Demonstrations","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W7117470140","doi":"https://doi.org/10.1109/dicta68720.2025.11302495"},"language":null,"primary_location":{"id":"doi:10.1109/dicta68720.2025.11302495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta68720.2025.11302495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","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/A5120320964","display_name":"Nilesh Ramgolam","orcid":null},"institutions":[{"id":"https://openalex.org/I2802355861","display_name":"Australian Institute of Business","ror":"https://ror.org/01wf5jq34","country_code":"AU","type":"education","lineage":["https://openalex.org/I2802355861"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Nilesh Ramgolam","raw_affiliation_strings":["Australian Institute for Machine Learning (AIML), University of Adelaide,Australia"],"affiliations":[{"raw_affiliation_string":"Australian Institute for Machine Learning (AIML), University of Adelaide,Australia","institution_ids":["https://openalex.org/I2802355861"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5120320964"],"corresponding_institution_ids":["https://openalex.org/I2802355861"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.84943894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.2985000014305115,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.2985000014305115,"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":0.20749999582767487,"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":0.04439999908208847,"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/software-deployment","display_name":"Software deployment","score":0.6735000014305115},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6205000281333923},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6075000166893005},{"id":"https://openalex.org/keywords/scarcity","display_name":"Scarcity","score":0.5846999883651733},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5213000178337097},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4659999907016754}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7312999963760376},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6735000014305115},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6205000281333923},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6075000166893005},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.5846999883651733},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5213000178337097},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5127000212669373},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.48330000042915344},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4659999907016754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4596000015735626},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.39079999923706055},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.37070000171661377},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3695000112056732},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.3181999921798706},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28619998693466187},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C2983685735","wikidata":"https://www.wikidata.org/wiki/Q5227355","display_name":"Data source","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta68720.2025.11302495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta68720.2025.11302495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2908201961","https://openalex.org/W2996936464","https://openalex.org/W3034854469","https://openalex.org/W3046399757","https://openalex.org/W3159096324","https://openalex.org/W3175413073","https://openalex.org/W3176752500","https://openalex.org/W3192754559","https://openalex.org/W4285603627","https://openalex.org/W4382239840","https://openalex.org/W4401749943","https://openalex.org/W4403878272","https://openalex.org/W4413157642"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,9,19,41,94,117,138],"critical":[4],"data":[5,95],"scarcity":[6],"that":[7,27,81],"hinders":[8],"practical":[10,113],"deployment":[11],"of":[12,43,58,97],"learning":[13],"to":[14,18,30,53,64,68],"defer":[15],"(L2D)":[16],"systems":[17,111],"population.":[20],"We":[21,39],"introduce":[22],"a":[23,36,44,55,82,102],"context-aware,":[24],"semisupervised":[25],"framework":[26],"uses":[28],"meta-learning":[29],"generate":[31,54],"expertspecific":[32],"embeddings":[33,49],"from":[34],"only":[35],"few":[37],"demonstrations.":[38],"demonstrate":[40],"efficacy":[42],"dual-purpose":[45],"mechanism,":[46],"where":[47],"these":[48,86],"are":[50],"used":[51],"first":[52],"large":[56],"corpus":[57],"pseudolabels":[59],"for":[60,119],"training,":[61],"and":[62,114,131,146],"subsequently":[63],"enable":[65],"on-the-fly":[66],"adaptation":[67],"new":[69],"experts":[70],"at":[71],"test-time.":[72],"The":[73],"experiment":[74],"results":[75],"on":[76,85],"three":[77],"different":[78],"datasets":[79],"confirm":[80],"model":[83],"trained":[84],"synthetic":[87],"labels":[88],"rapidly":[89],"approaches":[90],"oracle-level":[91],"performance,":[92],"validating":[93],"efficiency":[96],"our":[98,143],"approach.":[99],"By":[100],"resolving":[101],"key":[103],"training":[104,147],"bottleneck,":[105],"this":[106],"work":[107],"makes":[108],"adaptive":[109],"L2D":[110],"more":[112],"scalable,":[115],"paving":[116],"way":[118],"human-AI":[120],"collaboration":[121],"in":[122,137],"realworld":[123],"environments.<sup":[124],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[125,127],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup><sup":[126],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>To":[128],"facilitate":[129],"reproducibility":[130],"address":[132],"implementation":[133],"details":[134],"not":[135],"covered":[136],"main":[139],"text,":[140],"we":[141],"provide":[142],"source":[144],"code":[145],"configurations":[148],"here.":[149]},"counts_by_year":[],"updated_date":"2026-02-23T20:09:44.859080","created_date":"2025-12-29T00:00:00"}