{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T20:28:20Z","timestamp":1770755300356,"version":"3.50.0"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,28]],"date-time":"2023-10-28T00:00:00Z","timestamp":1698451200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,28]],"date-time":"2023-10-28T00:00:00Z","timestamp":1698451200000},"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":[[2023,10,28]]},"DOI":"10.1109\/iccad57390.2023.10323961","type":"proceedings-article","created":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T18:58:45Z","timestamp":1701370725000},"page":"1-9","source":"Crossref","is-referenced-by-count":3,"title":["IT-DSE: Invariance Risk Minimized Transfer Microarchitecture Design Space Exploration"],"prefix":"10.1109","author":[{"given":"Ziyang","family":"Yu","sequence":"first","affiliation":[{"name":"The Chinese University of Hong Kong"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1742-0090","authenticated-orcid":false,"given":"Chen","family":"Bai","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong"}]},{"given":"Shoubo","family":"Hu","sequence":"additional","affiliation":[{"name":"Huawei Noah&#x0027;s Ark Lab"}]},{"given":"Ran","family":"Chen","sequence":"additional","affiliation":[{"name":"Huawei Noah&#x0027;s Ark Lab"}]},{"given":"Taohai","family":"He","sequence":"additional","affiliation":[{"name":"HiSilicon"}]},{"given":"Mingxuan","family":"Yuan","sequence":"additional","affiliation":[{"name":"Huawei Noah&#x0027;s Ark Lab"}]},{"given":"Bei","family":"Yu","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong"}]},{"given":"Martin","family":"Wong","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD.2004.1382574"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2007.346211"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.23919\/DATE48585.2020.9116275"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18072.2020.9218632"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD51958.2021.9643455"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2020.3013567"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA45697.2020.00015"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3566097.3567844"},{"key":"ref9","volume-title":"Intel Skylake"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA52012.2021.00014"},{"key":"ref11","first-page":"23","article-title":"A Case for (Partially) TAgged GEometric History Length Branch Prediction","volume":"8","author":"Seznec","year":"2006","journal-title":"The Journal of Instruction-Level Parallelism"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.1998.694770"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO56248.2022.00015"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2004.1310786"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1534909.1534910"},{"key":"ref16","first-page":"18932","article-title":"Revisiting deep learning models for tabular data","volume":"34","author":"Gorishniy","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref17","article-title":"Efficient bayesian optimization with deep kernel learning and transformer pre-trained on multiple heterogeneous datasets","author":"Lyu","year":"2023","journal-title":"arXiv preprint"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01555"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2015.2494218"},{"key":"ref20","article-title":"Simple and scalable predictive uncertainty estimation using deep ensembles","volume":"30","author":"Lakshminarayanan","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref21","article-title":"Invariant risk minimization","author":"Arjovsky","year":"2019","journal-title":"arXiv preprint"},{"key":"ref22","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018","journal-title":"arXiv preprint"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1964.tb00553.x"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/87.4.954"},{"key":"ref25","volume-title":"Principles of risk minimization for learning theory, advances in neural information processing nips 4 (pp. 831\u00b1838)","author":"Vapnik","year":"1992"},{"key":"ref26","article-title":"Progressive mixture rules are deviation suboptimal","volume":"20","author":"Audibert","year":"2007","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-72927-3_12"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2017.1285773"},{"key":"ref29","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"International conference on machine learning","author":"Finn","year":"2017"},{"key":"ref30","article-title":"Auto-encoding variational bayes","volume-title":"Proceedings of the International Conference on Learning Representations (ICLR)","volume":"1","author":"Diederik","year":"2014"},{"key":"ref31","first-page":"9851","article-title":"Differentiable expected hypervolume improvement for parallel multi-objective bayesian optimization","volume":"33","author":"Daulton","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2228360.2228584"}],"event":{"name":"2023 IEEE\/ACM International Conference on Computer Aided Design (ICCAD)","location":"San Francisco, CA, USA","start":{"date-parts":[[2023,10,28]]},"end":{"date-parts":[[2023,11,2]]}},"container-title":["2023 IEEE\/ACM International Conference on Computer Aided Design (ICCAD)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10323590\/10323543\/10323961.pdf?arnumber=10323961","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T02:46:56Z","timestamp":1705027616000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10323961\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,28]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/iccad57390.2023.10323961","relation":{},"subject":[],"published":{"date-parts":[[2023,10,28]]}}}