{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T02:28:04Z","timestamp":1751682484442,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,4]]},"DOI":"10.1109\/icassp49357.2023.10094741","type":"proceedings-article","created":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T17:28:30Z","timestamp":1683307710000},"page":"1-5","source":"Crossref","is-referenced-by-count":5,"title":["Data-Aware Zero-Shot Neural Architecture Search for Image Recognition"],"prefix":"10.1109","author":[{"given":"Yi","family":"Fan","sequence":"first","affiliation":[{"name":"Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China,210023"}]},{"given":"Zhong-Han","family":"Niu","sequence":"additional","affiliation":[{"name":"Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China,210023"}]},{"given":"Yu-Bin","family":"Yang","sequence":"additional","affiliation":[{"name":"Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China,210023"}]}],"member":"263","reference":[{"key":"ref13","article-title":"On the complexity of linear prediction: Risk bounds, margin bounds, and regularization","volume":"21","author":"kakade","year":"2008","journal-title":"Advances in neural information processing systems"},{"key":"ref12","article-title":"On the number of linear regions of deep neural networks","volume":"27","author":"montufar","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00776"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1561\/9781680836233"},{"article-title":"Pareto-aware neural architecture generation for diverse computational budgets","year":"2022","author":"guo","key":"ref20"},{"key":"ref11","article-title":"Exponential expressivity in deep neural networks through transient chaos","volume":"29","author":"poole","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref10","first-page":"12979","article-title":"Contrastive learning inverts the data generating process","author":"zimmermann","year":"0"},{"key":"ref21","first-page":"6105","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","author":"tan","year":"2019","journal-title":"International Conference on Machine Learning"},{"key":"ref2","article-title":"Snip: single-shot network pruning based on connection sensitivity","author":"lee","year":"2019","journal-title":"International Conference on Learning Representations"},{"article-title":"Neural architecture search with reinforcement learning","year":"2017","author":"zoph","key":"ref1"},{"article-title":"Designing neural network architectures using reinforcement learning","year":"2016","author":"baker","key":"ref17"},{"key":"ref16","first-page":"28454","article-title":"How powerful are performance predictors in neural architecture search?","volume":"34","author":"white","year":"2021","journal-title":"Advances in neural information processing systems"},{"article-title":"Once-for-all: Train one network and specialize it for efficient deployment","year":"2019","author":"cai","key":"ref19"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2022.3140855"},{"key":"ref8","first-page":"794","article-title":"Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks","author":"chen","year":"0"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00040"},{"article-title":"Expressivity of deep neural networks","year":"2020","author":"g\u00fchring","key":"ref9"},{"key":"ref4","article-title":"Zero-cost proxies for lightweight nas","author":"abdelfattah","year":"2020","journal-title":"International Conference on Learning Representations"},{"key":"ref3","article-title":"Picking winning tickets before training by preserving gradient flow","author":"wang","year":"2019","journal-title":"International Conference on Learning Representations"},{"key":"ref6","first-page":"7588","article-title":"Neural architecture search without training","author":"mellor","year":"2021","journal-title":"International Conference on Machine Learning"},{"key":"ref5","article-title":"Neural architecture search on imagenet in four gpu hours: A theoretically inspired perspective","author":"chen","year":"2021","journal-title":"International Conference on Learning Representations (ICLR)"}],"event":{"name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2023,6,4]]},"location":"Rhodes Island, Greece","end":{"date-parts":[[2023,6,10]]}},"container-title":["ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10094559\/10094560\/10094741.pdf?arnumber=10094741","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T18:59:36Z","timestamp":1699901976000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10094741\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,4]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icassp49357.2023.10094741","relation":{},"subject":[],"published":{"date-parts":[[2023,6,4]]}}}