{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T18:50:28Z","timestamp":1763751028543,"version":"3.45.0"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100006730","name":"German Ministry of Education and Research","doi-asserted-by":"publisher","award":["16ME0542K"],"award-info":[{"award-number":["16ME0542K"]}],"id":[{"id":"10.13039\/501100006730","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst."],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1109\/tcad.2024.3483091","type":"journal-article","created":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T13:37:49Z","timestamp":1729172269000},"page":"1224-1237","source":"Crossref","is-referenced-by-count":0,"title":["Fast Retraining of Approximate CNNs for High Accuracy"],"prefix":"10.1109","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5671-3291","authenticated-orcid":false,"given":"Elias","family":"Trommer","sequence":"first","affiliation":[{"name":"Infineon Technologies Dresden GmbH, Power and Sensor Systems, Dresden, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0294-8594","authenticated-orcid":false,"given":"Bernd","family":"Waschneck","sequence":"additional","affiliation":[{"name":"Infineon Technologies Dresden GmbH, Power and Sensor Systems, Dresden, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7125-1737","authenticated-orcid":false,"given":"Akash","family":"Kumar","sequence":"additional","affiliation":[{"name":"Center for Advancing Electronics, Technischen Universität Dresden, Dresden, Germany"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Artificial intelligence index report 2024","volume-title":"arXiv:2405.19522","author":"Maslej","year":"2023"},{"key":"ref2","first-page":"598","article-title":"Optimal brain damage","volume-title":"Proc. NIPS Conf.","author":"LeCun"},{"key":"ref3","first-page":"2849","article-title":"Fixed point quantization of deep convolutional networks","volume-title":"Proc. 33rd Int. Conf. Mach. Learn.","author":"Lin"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD.2015.7372600"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3287624.3287627"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.23919\/DATE48585.2020.9116299"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2022.3212645"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.23919\/DATE48585.2020.9116476"},{"volume-title":"The State of Machine Learning Frameworks in 2019","year":"2019","author":"He","key":"ref9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3623402"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/isscc.2014.6757323"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/DDECS57882.2023.10139366"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2023.3235204"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TEC.1962.5219391"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2018.2792902"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2018.2880742"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2742060.2742109"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.23919\/date.2017.7926993"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2020.3032495"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/DAC.2018.8465845"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3218603.3218643"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-99322-5_5"},{"key":"ref23","first-page":"1","article-title":"Combining gradients and probabilities for heterogeneous approximation of neural networks","volume-title":"Proc. 41st IEEE\/ACM Int. Conf. Comput.-Aided Design","author":"Trommer"},{"key":"ref24","first-page":"265","article-title":"TensorFlow: A system for large-scale machine learning","volume-title":"Proc. 12th USENIX Symp. Oper. Syst. Design Implement. (OSDI)","author":"Abadi"},{"key":"ref25","first-page":"8024","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. 32nd Annu. Conf. Neural Inf. Process. Syst.","author":"Paszke"},{"key":"ref26","article-title":"A white paper on neural network Quantization","author":"Nagel","year":"2021","journal-title":"arXiv:2106.08295"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00286"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2021.3050989"},{"key":"ref29","first-page":"189","article-title":"Approximate computing for ML: State-of-the-art, challenges and visions","volume-title":"Proc. 26th Asia South Pac. Design Autom. Conf.","author":"Zervakis"},{"issue":"2","key":"ref30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3097264","article-title":"Energy-efficient neural computing with approximate multipliers","volume":"14","author":"Sarwar","year":"2018","journal-title":"ACM J. Emerg. Technol. Comput. Syst."},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS45731.2020.9181236"},{"key":"ref32","first-page":"1","article-title":"Deep compression: Compressing deep neural network with pruning, trained quantization and Huffman coding","volume-title":"Proc. 4th Int. Conf. Learn. Represent. (ICLR)","author":"Han"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2021.3072666"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3179112"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2020.2992113"},{"key":"ref36","first-page":"617","article-title":"Low-power implementation of Mitchell\u2019s approximate logarithmic multiplication for convolutional neural networks","volume-title":"Proc. 23rd Asia South Pac. Design Autom. Conf. (ASP-DAC)","author":"Kim"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18074.2021.9586092"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD51958.2021.9643491"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"article-title":"Learning multiple layers of features from tiny images","year":"2009","author":"Krizhevsky","key":"ref41"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2018.8342139"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18074.2021.9586260"},{"key":"ref44","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. 3rd Int. Conf. Learn. Represent.","author":"Simonyan"},{"volume-title":"Tiny ImageNet visual recognition challenge","year":"2015","author":"Le","key":"ref45"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1016\/j.future.2020.07.031","article-title":"Improving approximate neural networks for perception tasks through specialized optimization","volume":"113","author":"De La Parra","year":"2020","journal-title":"Future Gener. Comput. Syst."}],"container-title":["IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/43\/10934961\/10720891.pdf?arnumber=10720891","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T18:43:12Z","timestamp":1763750592000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10720891\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4]]},"references-count":46,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tcad.2024.3483091","relation":{},"ISSN":["0278-0070","1937-4151"],"issn-type":[{"type":"print","value":"0278-0070"},{"type":"electronic","value":"1937-4151"}],"subject":[],"published":{"date-parts":[[2025,4]]}}}