{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T16:02:56Z","timestamp":1777651376672,"version":"3.51.4"},"reference-count":54,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,1]],"date-time":"2021-10-01T00:00:00Z","timestamp":1633046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10]]},"DOI":"10.1109\/iccv48922.2021.01209","type":"proceedings-article","created":{"date-parts":[[2022,2,28]],"date-time":"2022-02-28T22:08:02Z","timestamp":1646086082000},"page":"12292-12301","source":"Crossref","is-referenced-by-count":8,"title":["Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization"],"prefix":"10.1109","author":[{"given":"Yaoming","family":"Wang","sequence":"first","affiliation":[{"name":"Shanghai Jiao Tong University,Department of Electronic Engineering,China"}]},{"given":"Yuchen","family":"Liu","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University,Department of Electronic Engineering,China"}]},{"given":"Wenrui","family":"Dai","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University,Department of Computer Science & Engineering,China"}]},{"given":"Chenglin","family":"Li","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University,Department of Electronic Engineering,China"}]},{"given":"Junni","family":"Zou","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University,Department of Computer Science & Engineering,China"}]},{"given":"Hongkai","family":"Xiong","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University,Department of Electronic Engineering,China"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01099"},{"key":"ref38","article-title":"A survey on neural architecture search","author":"wistuba","year":"2019","journal-title":"CoRR"},{"key":"ref33","first-page":"2593","article-title":"Doubly semi-implicit variational inference","author":"molchanov","year":"2019","journal-title":"Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics"},{"key":"ref32","first-page":"2498","article-title":"Variational dropout sparsifies deep neural networks","author":"molchanov","year":"2017","journal-title":"Proceedings of the 34th International Conference on Machine Learning"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-815480-9.00015-3"},{"key":"ref30","article-title":"The concrete distribution: A continuous relaxation of discrete random variables","author":"maddison","year":"2016","journal-title":"Workshop on Bayesian Deep Learning NIPS 2016"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/289"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00635"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"ref34","first-page":"4095","article-title":"Efficient neural architecture search via parameter sharing","author":"pham","year":"2018","journal-title":"Proceedings of the 35th International Conference on Machine Learning"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00017"},{"key":"ref27","article-title":"DARTS+: Improved differentiable architecture search with early stopping","author":"liang","year":"2019"},{"key":"ref29","article-title":"DARTS: Differentiable architecture search","author":"liu","year":"2019","journal-title":"International Conference on Learning Representations"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413842"},{"key":"ref1","first-page":"171","article-title":"Adaptive stochastic natural gradient method for one-shot neural architecture search","author":"akimoto","year":"2019","journal-title":"Proceedings of the 36th International Conference on Machine Learning"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01142"},{"key":"ref22","article-title":"Categorical reparameterization with Gumbel-Softmax","author":"jang","year":"2016","journal-title":"Workshop on Bayesian Deep Learning NIPS 2016"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref24","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009","journal-title":"Technical Report"},{"key":"ref23","first-page":"2575","article-title":"Variational dropout and the local reparameterization trick","volume":"28","author":"kingma","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref26","first-page":"367","article-title":"Random search and reproducibility for neural architecture search","author":"li","year":"2020","journal-title":"Uncertainty in Artificial Intelligence"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00169"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-021-0214-z"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3020315"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref53","first-page":"7603","article-title":"BayesNAS: A Bayesian approach for neural architecture search","author":"zhou","year":"2019","journal-title":"Proceedings of the 36th International Conference on Machine Learning"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3020300"},{"key":"ref10","article-title":"DARTS-: Robustly stepping out of performance collapse without indicators","author":"chu","year":"2021","journal-title":"International Conference on Learning Representations"},{"key":"ref11","first-page":"465","article-title":"Fair DARTS: Eliminating unfair advantages in differentiable architecture search","author":"chu","year":"2020","journal-title":"16th European Conference on Computer Vision"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"10379","DOI":"10.1609\/aaai.v35i12.17243","article-title":"Neural architecture search as sparse supernet","author":"wu","year":"2021","journal-title":"Proceedings of the 35th AAAI Conference on Artificial Intelligence"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref13","article-title":"NAS-Bench-201: Extending the scope of reproducible neural architecture search","author":"dong","year":"2019","journal-title":"International Conference on Learning Representations"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00378"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00186"},{"key":"ref16","article-title":"Efficient multi-objective neural architecture search via Lamarckian evolution","author":"elsken","year":"2019","journal-title":"International Conference on Learning Representations"},{"key":"ref17","first-page":"1","article-title":"Neural architecture search: A survey","volume":"20","author":"elsken","year":"2019","journal-title":"Journal of Machine Learning Research"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3044416"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00720"},{"key":"ref4","article-title":"SMASH: One-shot model architecture search through hypernetworks","author":"brock","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref3","first-page":"549","article-title":"Understanding and simplifying one-shot architecture search","author":"bender","year":"2018","journal-title":"Proceedings of the 35th International Conference on Machine Learning"},{"key":"ref6","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"},{"key":"ref5","article-title":"Probabilistic neural architecture search","author":"casale","year":"2019"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00138"},{"key":"ref7","first-page":"1554","article-title":"Stabilizing differentiable architecture search via perturbation-based regularization","author":"chen","year":"2020","journal-title":"Proceedings of the 37th International Conference on Machine Learning"},{"key":"ref49","article-title":"NAS-Bench-1Shot1: Benchmarking and dissecting one-shot neural architecture search","author":"zela","year":"2019","journal-title":"International Conference on Learning Representations"},{"key":"ref9","article-title":"A downsampled variant of ImageNet as an alternative to the CIFAR datasets","author":"chrabaszcz","year":"2017"},{"key":"ref46","first-page":"5660","article-title":"Semi-implicit variational inference","author":"yin","year":"2018","journal-title":"Proceedings of the 35th International Conference on Machine Learning"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6958"},{"key":"ref48","article-title":"Understanding and robustifying differentiable architecture search","author":"zela","year":"2019","journal-title":"International Conference on Learning Representations"},{"key":"ref47","first-page":"702","article-title":"BigNAS: Scaling up neural architecture search with big single-stage models","author":"yu","year":"2020","journal-title":"16th European Conference on Computer Vision"},{"key":"ref42","article-title":"PC-DARTS: Partial channel connections for memory-efficient architecture search","author":"xu","year":"2020","journal-title":"International Conference on Learning Representations"},{"key":"ref41","article-title":"SNAS: stochastic neural architecture search","author":"xie","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00190"},{"key":"ref43","first-page":"12486","article-title":"Does unsupervised architecture representation learning help neural architecture search?","volume":"32","author":"yan","year":"2020","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2021 IEEE\/CVF International Conference on Computer Vision (ICCV)","location":"Montreal, QC, Canada","start":{"date-parts":[[2021,10,10]]},"end":{"date-parts":[[2021,10,17]]}},"container-title":["2021 IEEE\/CVF International Conference on Computer Vision (ICCV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9709627\/9709628\/09709991.pdf?arnumber=9709991","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,28]],"date-time":"2023-01-28T02:57:01Z","timestamp":1674874621000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9709991\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10]]},"references-count":54,"URL":"https:\/\/doi.org\/10.1109\/iccv48922.2021.01209","relation":{},"subject":[],"published":{"date-parts":[[2021,10]]}}}