{"id":"https://openalex.org/W3128943006","doi":"https://doi.org/10.1145/3394885.3431538","title":"Dynamic Programming Assisted Quantization Approaches for Compressing Normal and Robust DNN Models","display_name":"Dynamic Programming Assisted Quantization Approaches for Compressing Normal and Robust DNN Models","publication_year":2021,"publication_date":"2021-01-18","ids":{"openalex":"https://openalex.org/W3128943006","doi":"https://doi.org/10.1145/3394885.3431538","mag":"3128943006"},"language":"en","primary_location":{"id":"doi:10.1145/3394885.3431538","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394885.3431538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th Asia and South Pacific Design Automation Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100636872","display_name":"Dingcheng Yang","orcid":"https://orcid.org/0000-0001-6117-554X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingcheng Yang","raw_affiliation_strings":["Dept. Computer Science & Tech., BNRist, Tsinghua Univ., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Computer Science & Tech., BNRist, Tsinghua Univ., Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053437305","display_name":"Wenjian Yu","orcid":"https://orcid.org/0000-0003-4897-7251"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjian Yu","raw_affiliation_strings":["Dept. Computer Science & Tech., BNRist, Tsinghua Univ., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Computer Science & Tech., BNRist, Tsinghua Univ., Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052602086","display_name":"Haoyuan Mu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyuan Mu","raw_affiliation_strings":["Dept. Computer Science & Tech., BNRist, Tsinghua Univ., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Computer Science & Tech., BNRist, Tsinghua Univ., Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072548178","display_name":"Gary Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gary Yao","raw_affiliation_strings":["2 Case Western Reserve University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"2 Case Western Reserve University, USA","institution_ids":["https://openalex.org/I58956616"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"351","last_page":"357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998000264167786,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994000196456909,"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":0.678658127784729},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6450960636138916},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5748672485351562},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5168805122375488},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.508059024810791},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.48422908782958984},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.4767259657382965},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.44358018040657043},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3641888499259949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34287357330322266}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.678658127784729},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6450960636138916},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5748672485351562},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5168805122375488},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.508059024810791},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.48422908782958984},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.4767259657382965},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.44358018040657043},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3641888499259949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34287357330322266}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394885.3431538","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394885.3431538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th Asia and South Pacific Design Automation Conference","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":30,"referenced_works":["https://openalex.org/W1724438581","https://openalex.org/W1821462560","https://openalex.org/W2097117768","https://openalex.org/W2114766824","https://openalex.org/W2139850885","https://openalex.org/W2150593711","https://openalex.org/W2172166488","https://openalex.org/W2194775991","https://openalex.org/W2319920447","https://openalex.org/W2382313035","https://openalex.org/W2559813832","https://openalex.org/W2739789140","https://openalex.org/W2884150179","https://openalex.org/W2896144487","https://openalex.org/W2896409484","https://openalex.org/W2962729158","https://openalex.org/W2963108114","https://openalex.org/W2963207607","https://openalex.org/W2963300879","https://openalex.org/W2963424132","https://openalex.org/W2963674932","https://openalex.org/W2963857521","https://openalex.org/W2964137095","https://openalex.org/W2964253222","https://openalex.org/W2964299589","https://openalex.org/W2971229607","https://openalex.org/W2995751512","https://openalex.org/W3005707914","https://openalex.org/W3118608800","https://openalex.org/W3147159035"],"related_works":["https://openalex.org/W1539956819","https://openalex.org/W2093152993","https://openalex.org/W1489554298","https://openalex.org/W2378212145","https://openalex.org/W2121067345","https://openalex.org/W3209251257","https://openalex.org/W3042419602","https://openalex.org/W2966649771","https://openalex.org/W4205547277","https://openalex.org/W4220659530"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"present":[4],"effective":[5],"quantization":[6,42,46],"approaches":[7,38,47],"for":[8,52,83],"compressing":[9,53,84],"the":[10,28,37,88,95],"deep":[11],"neural":[12],"networks":[13],"(DNNs).":[14],"A":[15],"key":[16],"ingredient":[17],"is":[18],"a":[19],"novel":[20],"dynamic":[21],"programming":[22],"(DP)":[23],"based":[24],"algorithm":[25],"to":[26],"obtain":[27],"optimal":[29],"solution":[30],"of":[31,94],"scalar":[32],"K-means":[33],"clustering.":[34],"Based":[35],"on":[36,105],"with":[39,65,99],"regularization":[40],"and":[41,50,87,108],"function,":[43],"two":[44],"weight":[45],"called":[48],"DPR":[49],"DPQ":[51],"normal":[54],"DNNs":[55],"are":[56,80],"proposed":[57,71],"respectively.":[58],"Experiments":[59],"show":[60,91],"that":[61],"they":[62],"produce":[63],"models":[64],"higher":[66],"inference":[67],"accuracy":[68,103],"than":[69,101],"recently":[70],"counterparts":[72],"while":[73],"achieving":[74],"same":[75],"or":[76],"larger":[77],"compression.":[78],"They":[79],"also":[81],"extended":[82],"robust":[85,96],"DNNs,":[86],"relevant":[89],"experiments":[90],"16X":[92],"compression":[93],"ResNet-18":[97],"model":[98],"less":[100],"3%":[102],"drop":[104],"both":[106],"natural":[107],"adversarial":[109],"examples.":[110]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}