{"id":"https://openalex.org/W3208404416","doi":"https://doi.org/10.1145/3486001.3486226","title":"Generalized Weight Agnostic Neural Networks for Configurable and Continual Autonomous Systems","display_name":"Generalized Weight Agnostic Neural Networks for Configurable and Continual Autonomous Systems","publication_year":2021,"publication_date":"2021-10-21","ids":{"openalex":"https://openalex.org/W3208404416","doi":"https://doi.org/10.1145/3486001.3486226","mag":"3208404416"},"language":"en","primary_location":{"id":"doi:10.1145/3486001.3486226","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486001.3486226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First International Conference on AI-ML-Systems","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/A5049901708","display_name":"Pranav Gadikar","orcid":"https://orcid.org/0000-0002-3057-9178"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Pranav U Gadikar","raw_affiliation_strings":["Indian Institute of Technology Madras, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101608355","display_name":"Vinod Ganesan","orcid":"https://orcid.org/0000-0002-0875-9893"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vinod Ganesan","raw_affiliation_strings":["Indian Institute of Technology Madras, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034815492","display_name":"Pratyush Kumar Panda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pratyush Kumar Panda","raw_affiliation_strings":["Microsoft Research, India"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, India","institution_ids":["https://openalex.org/I4210124949"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049901708"],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40777778,"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":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9969000220298767,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9969000220298767,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.988099992275238,"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/computer-science","display_name":"Computer science","score":0.6787797808647156},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5446062684059143},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39844462275505066},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.32070931792259216}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6787797808647156},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5446062684059143},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39844462275505066},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.32070931792259216}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3486001.3486226","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3486001.3486226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First International Conference on AI-ML-Systems","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":11,"referenced_works":["https://openalex.org/W1595498733","https://openalex.org/W2111935653","https://openalex.org/W2424347275","https://openalex.org/W2495046539","https://openalex.org/W2788388592","https://openalex.org/W2953319219","https://openalex.org/W2963809228","https://openalex.org/W3002543376","https://openalex.org/W3021931813","https://openalex.org/W3094801149","https://openalex.org/W3105248137"],"related_works":["https://openalex.org/W2386387936","https://openalex.org/W2050432237","https://openalex.org/W1629725936","https://openalex.org/W1547612600","https://openalex.org/W4248910437","https://openalex.org/W644753246","https://openalex.org/W3003815297","https://openalex.org/W2159443810","https://openalex.org/W3085769648","https://openalex.org/W335642136"],"abstract_inverted_index":{"Implementing":[0],"pervasive":[1],"intelligence":[2],"faces":[3],"the":[4,39,44,71,97,104,139,145,151,160],"challenges":[5,18],"of":[6,46,92,100,106,134,162],"efficient,":[7],"continual,":[8],"and":[9,34,84,115,118,142,171],"configurable":[10,128],"learning":[11],"on":[12,66,88,168],"embedded":[13],"devices.":[14,174],"We":[15,130],"address":[16],"these":[17],"with":[19],"two":[20],"novel":[21],"extensions":[22],"to":[23,51,54,79,111,125,150],"Weight":[24],"Agnostic":[25],"Neural":[26],"Networks":[27],"(WANNs)":[28],"namely":[29],"\u2013":[30],"(i)":[31],"Multi-weight":[32],"extension":[33,99],"(ii)":[35],"Multi-objective":[36],"extension.":[37],"In":[38,96],"multi-weight":[40,72],"extension,":[41],"we":[42,102],"extend":[43,103],"idea":[45,105],"single":[47,80,108],"shared":[48,81],"weight":[49,82,140],"WANNs":[50,73,83,135,167],"multiple":[52,112,122],"weights":[53],"enable":[55,126],"efficient":[56,127],"continual":[57],"learning.":[58,129],"Our":[59],"results":[60,158],"across":[61],"four":[62],"different":[63],"tasks":[64],"implemented":[65],"Raspberry":[67],"Pi":[68],"demonstrate":[69,116,132],"that":[70],"achieve":[74],"higher":[75],"reward":[76,109],"as":[77,148],"compared":[78,149],"can":[85],"be":[86],"fine-tuned":[87],"device":[89],"in":[90,138,144],"orders":[91],"magnitude":[93],"smaller":[94],"time.":[95],"multi-objective":[98],"WANNs,":[101],"a":[107],"function":[110],"competing":[113,123],"rewards":[114,124],"sensitive":[117],"monotonic":[119],"trade-off":[120],"between":[121],"also":[131],"robustness":[133],"for":[136],"changes":[137,143],"parameters":[141],"environmental":[146],"conditions":[147],"Proximal":[152],"Policy":[153],"Optimization(PPO)":[154],"algorithm.":[155],"These":[156],"significant":[157],"open":[159],"possibility":[161],"truly":[163],"autonomous":[164],"agents":[165],"using":[166],"low":[169],"compute":[170],"power":[172],"budget":[173]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
