{"id":"https://openalex.org/W3195277617","doi":"https://doi.org/10.1007/978-3-031-04083-2_12","title":"Interpreting and Improving Deep-Learning Models with Reality Checks","display_name":"Interpreting and Improving Deep-Learning Models with Reality Checks","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W3195277617","doi":"https://doi.org/10.1007/978-3-031-04083-2_12","mag":"3195277617"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-04083-2_12","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-04083-2_12","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-04083-2_12.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-04083-2_12.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017514239","display_name":"Chandan Singh","orcid":"https://orcid.org/0000-0003-0318-2340"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chandan Singh","raw_affiliation_strings":["University of California, Berkeley, Berkeley, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025862439","display_name":"Wooseok Ha","orcid":"https://orcid.org/0000-0002-9069-854X"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wooseok Ha","raw_affiliation_strings":["University of California, Berkeley, Berkeley, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100646137","display_name":"Bin Yu","orcid":"https://orcid.org/0000-0002-8888-4060"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bin Yu","raw_affiliation_strings":["University of California, Berkeley, Berkeley, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"229","last_page":"254"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9825999736785889,"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/interpretability","display_name":"Interpretability","score":0.866384744644165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7213500142097473},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6348212361335754},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6333827972412109},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5627594590187073},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48740652203559875},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47342565655708313},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.45226991176605225},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4410538971424103},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43406370282173157},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08137065172195435},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07963442802429199}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.866384744644165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7213500142097473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6348212361335754},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6333827972412109},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5627594590187073},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48740652203559875},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47342565655708313},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.45226991176605225},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4410538971424103},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43406370282173157},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08137065172195435},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07963442802429199},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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:10.1007/978-3-031-04083-2_12","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-04083-2_12","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-04083-2_12.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-04083-2_12","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-04083-2_12","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-04083-2_12.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6600000262260437,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3195277617.pdf","grobid_xml":"https://content.openalex.org/works/W3195277617.grobid-xml"},"referenced_works_count":100,"referenced_works":["https://openalex.org/W18046889","https://openalex.org/W1787224781","https://openalex.org/W1825675169","https://openalex.org/W1849277567","https://openalex.org/W1880262756","https://openalex.org/W1961953963","https://openalex.org/W1996796871","https://openalex.org/W2023863818","https://openalex.org/W2100960835","https://openalex.org/W2102481876","https://openalex.org/W2108598243","https://openalex.org/W2118022153","https://openalex.org/W2118246710","https://openalex.org/W2123045220","https://openalex.org/W2132984323","https://openalex.org/W2141449818","https://openalex.org/W2251939518","https://openalex.org/W2282821441","https://openalex.org/W2346578521","https://openalex.org/W2439568532","https://openalex.org/W2493343568","https://openalex.org/W2502949459","https://openalex.org/W2562979205","https://openalex.org/W2581082771","https://openalex.org/W2587529872","https://openalex.org/W2590082389","https://openalex.org/W2592895748","https://openalex.org/W2592929672","https://openalex.org/W2594475271","https://openalex.org/W2594633041","https://openalex.org/W2606462007","https://openalex.org/W2616267373","https://openalex.org/W2619351609","https://openalex.org/W2742591084","https://openalex.org/W2747329762","https://openalex.org/W2768346313","https://openalex.org/W2769358515","https://openalex.org/W2769421449","https://openalex.org/W2785011159","https://openalex.org/W2785184350","https://openalex.org/W2785760873","https://openalex.org/W2786907208","https://openalex.org/W2793567263","https://openalex.org/W2794583223","https://openalex.org/W2889436406","https://openalex.org/W2891612330","https://openalex.org/W2897868884","https://openalex.org/W2899771611","https://openalex.org/W2901939789","https://openalex.org/W2903768344","https://openalex.org/W2910705748","https://openalex.org/W2932083555","https://openalex.org/W2944531694","https://openalex.org/W2945100059","https://openalex.org/W2945800295","https://openalex.org/W2947604435","https://openalex.org/W2948489233","https://openalex.org/W2951576127","https://openalex.org/W2952115010","https://openalex.org/W2953314936","https://openalex.org/W2953462175","https://openalex.org/W2962862931","https://openalex.org/W2962883557","https://openalex.org/W2963029978","https://openalex.org/W2963249138","https://openalex.org/W2963349562","https://openalex.org/W2963798744","https://openalex.org/W2964118342","https://openalex.org/W2964159526","https://openalex.org/W2968541158","https://openalex.org/W2969096242","https://openalex.org/W2974440810","https://openalex.org/W2981869278","https://openalex.org/W2982358316","https://openalex.org/W2994881943","https://openalex.org/W3003113765","https://openalex.org/W3004193104","https://openalex.org/W3005226944","https://openalex.org/W3010050377","https://openalex.org/W3035215724","https://openalex.org/W3048549109","https://openalex.org/W3095748813","https://openalex.org/W3101609372","https://openalex.org/W3124792046","https://openalex.org/W3128214196","https://openalex.org/W3147999658","https://openalex.org/W3158829558","https://openalex.org/W3188805207","https://openalex.org/W3213444252","https://openalex.org/W4229494842","https://openalex.org/W6600234944","https://openalex.org/W6600281463","https://openalex.org/W6601676141","https://openalex.org/W6602334313","https://openalex.org/W6602704705","https://openalex.org/W6609117478","https://openalex.org/W6631839975","https://openalex.org/W6633280344","https://openalex.org/W6747798011","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W4385957992","https://openalex.org/W3129898729","https://openalex.org/W4229079080","https://openalex.org/W4206534706","https://openalex.org/W4385965371","https://openalex.org/W4380075502","https://openalex.org/W4310880831","https://openalex.org/W4386025632","https://openalex.org/W3006943036","https://openalex.org/W4299487748"],"abstract_inverted_index":{"Abstract":[0],"Recent":[1],"deep-learning":[2],"models":[3,30],"have":[4],"achieved":[5],"impressive":[6],"predictive":[7],"performance":[8],"by":[9,31],"learning":[10],"complex":[11],"functions":[12],"of":[13,20,90,109],"many":[14],"variables,":[15],"often":[16],"at":[17,127],"the":[18,44,88,103,107,114],"cost":[19],"interpretability.":[21],"This":[22],"chapter":[23,124],"covers":[24],"recent":[25],"work":[26],"aiming":[27],"to":[28,34,49,55,63,85,95,112],"interpret":[29],"attributing":[32],"importance":[33,48],"features":[35,56],"and":[36,73,131],"feature":[37],"groups":[38],"for":[39,119],"a":[40,91,99],"single":[41],"prediction.":[42],"Importantly,":[43],"proposed":[45,115],"attributions":[46,60,81],"assign":[47],"interactions":[50],"between":[51],"features,":[52],"in":[53,57,122,137],"addition":[54],"isolation.":[58],"These":[59],"are":[61],"shown":[62],"yield":[64],"insights":[65],"across":[66],"real-world":[67],"domains,":[68],"including":[69],"bio-imaging,":[70],"cosmology":[71],"image":[72],"natural-language":[74],"processing.":[75],"We":[76],"then":[77],"show":[78],"how":[79],"these":[80],"can":[82],"be":[83],"used":[84],"directly":[86],"improve":[87],"generalization":[89],"neural":[92],"network":[93],"or":[94],"distill":[96],"it":[97],"into":[98],"simple":[100],"model.":[101],"Throughout":[102],"chapter,":[104],"we":[105],"emphasize":[106],"use":[108],"reality":[110],"checks":[111],"scrutinize":[113],"interpretation":[116],"techniques.":[117],"(Code":[118],"all":[120],"methods":[121],"this":[123],"is":[125],"available":[126],"\"Image":[128,132],"missing\"":[129,133],"github.com/csinva":[130],"github.com/Yu-Group":[134],",":[135],"implemented":[136],"PyTorch":[138],"[54]).":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}