{"id":"https://openalex.org/W4385210539","doi":"https://doi.org/10.1145/3583133.3596322","title":"Quantifying and Visualizing the Sharpness of Attraction Basins in Neural Network Error Landscapes","display_name":"Quantifying and Visualizing the Sharpness of Attraction Basins in Neural Network Error Landscapes","publication_year":2023,"publication_date":"2023-07-15","ids":{"openalex":"https://openalex.org/W4385210539","doi":"https://doi.org/10.1145/3583133.3596322"},"language":"en","primary_location":{"id":"doi:10.1145/3583133.3596322","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583133.3596322","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3583133.3596322","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092532313","display_name":"Isobel Bosman","orcid":"https://orcid.org/0009-0002-6615-1314"},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Isobel Bosman","raw_affiliation_strings":["University of Pretoria, Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"University of Pretoria, Pretoria, South Africa","institution_ids":["https://openalex.org/I69552723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037780608","display_name":"Anna Sergeevna Bosman","orcid":"https://orcid.org/0000-0003-3546-1467"},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Anna Sergeevna Bosman","raw_affiliation_strings":["University of Pretoria, Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"University of Pretoria, Pretoria, South Africa","institution_ids":["https://openalex.org/I69552723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082432019","display_name":"Katherine M. Malan","orcid":"https://orcid.org/0000-0002-6070-2632"},"institutions":[{"id":"https://openalex.org/I165390105","display_name":"University of South Africa","ror":"https://ror.org/048cwvf49","country_code":"ZA","type":"education","lineage":["https://openalex.org/I165390105"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Katherine Mary Malan","raw_affiliation_strings":["University of South Africa, Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"University of South Africa, Pretoria, South Africa","institution_ids":["https://openalex.org/I165390105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5092532313"],"corresponding_institution_ids":["https://openalex.org/I69552723"],"apc_list":null,"apc_paid":null,"fwci":0.1748,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5414178,"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":"2038","last_page":"2046"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9983999729156494,"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/T10320","display_name":"Neural Networks and Applications","score":0.9983999729156494,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6771736145019531},{"id":"https://openalex.org/keywords/attraction","display_name":"Attraction","score":0.6732707619667053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5977463722229004},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5474038124084473},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42273759841918945}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6771736145019531},{"id":"https://openalex.org/C2778364177","wikidata":"https://www.wikidata.org/wiki/Q2247133","display_name":"Attraction","level":2,"score":0.6732707619667053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5977463722229004},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5474038124084473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42273759841918945},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583133.3596322","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583133.3596322","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3583133.3596322","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583133.3596322","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1969557815","https://openalex.org/W1975822826","https://openalex.org/W2001619934","https://openalex.org/W2036816056","https://openalex.org/W2040672105","https://openalex.org/W2044400415","https://openalex.org/W2047229728","https://openalex.org/W2153911183","https://openalex.org/W2346626577","https://openalex.org/W2588556732","https://openalex.org/W2854334010","https://openalex.org/W2895242767","https://openalex.org/W2912811302","https://openalex.org/W2919115771","https://openalex.org/W2959500001","https://openalex.org/W3011054152","https://openalex.org/W3123511746","https://openalex.org/W4207063358"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2138293586","https://openalex.org/W2413671300","https://openalex.org/W4319783074","https://openalex.org/W2386387936","https://openalex.org/W2363669182","https://openalex.org/W2525150146","https://openalex.org/W1629725936","https://openalex.org/W2260621162"],"abstract_inverted_index":{"Algorithms":[0],"used":[1],"to":[2,62,105,130,152,162],"train":[3],"neural":[4],"networks":[5],"(NNs)":[6],"converge":[7],"in":[8,45,53,64],"valleylike":[9],"parts":[10],"of":[11,17,77,94,109,121,124,139,149],"the":[12,25,34,72,89,107,119,122,134,137,147,150],"loss":[13],"landscape.":[14],"The":[15],"point":[16],"convergence":[18],"is":[19,27,36],"considered":[20],"a":[21,30,85,114,140,143],"flat":[22,43,80],"minimum":[23,32,145],"when":[24,33],"valley":[26,35,141],"wide,":[28],"and":[29,75,79,146],"sharp":[31,51,78],"narrow.":[37],"It":[38],"has":[39,58],"been":[40,60],"hypothesized":[41],"that":[42,156],"minima":[44,52,93,110],"wide":[46],"valleys":[47],"generalize":[48,153],"better":[49],"than":[50],"narrow":[54],"valleys,":[55],"but":[56],"this":[57,99,164],"not":[59],"shown":[61],"hold":[63],"general.":[65],"Theoretical":[66],"studies":[67],"propose":[68],"conflicting":[69],"ideas":[70],"about":[71],"relevance,":[73],"shape,":[74],"definition":[76],"minima.":[81],"This":[82],"study":[83],"proposes":[84],"method":[86],"for":[87,117],"sampling":[88],"neighborhood":[90],"around":[91,142],"local":[92,144],"NN":[95,151],"error":[96],"landscapes.":[97],"Using":[98],"method,":[100],"we":[101],"define":[102],"two":[103],"metrics":[104],"quantify":[106],"sharpness":[108,138],"as":[111,113],"well":[112,154],"2-dimensional":[115],"visualization":[116],"approximating":[118],"structure":[120],"basins":[123],"attraction.":[125],"We":[126],"then":[127],"conduct":[128],"experiments":[129],"verify":[131],"or":[132],"refute":[133],"correlation":[135],"between":[136],"ability":[148],"at":[155],"minimum.":[157],"Results":[158],"provide":[159],"no":[160],"evidence":[161],"support":[163],"correlation.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
