{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T18:24:56Z","timestamp":1773512696736,"version":"3.50.1"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T00:00:00Z","timestamp":1729123200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T00:00:00Z","timestamp":1729123200000},"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":[[2024,10,17]]},"DOI":"10.1109\/iccp63557.2024.10792988","type":"proceedings-article","created":{"date-parts":[[2024,12,17]],"date-time":"2024-12-17T19:09:09Z","timestamp":1734462549000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["Optimization Methods of Deep Neural Networks on Automotive Embedded Computing Systems"],"prefix":"10.1109","author":[{"given":"Ada-Ioana","family":"Birtocian","sequence":"first","affiliation":[{"name":"Engineering Systems Vision Robert Bosch SRL,Cluj-Napoca,Romania"}]},{"given":"Iulia-Andreea","family":"Dr\u0103gan","sequence":"additional","affiliation":[{"name":"Engineering Systems Vision Robert Bosch SRL,Cluj-Napoca,Romania"}]},{"given":"Mihai","family":"Negru","sequence":"additional","affiliation":[{"name":"Technical University of Cluj-Napoca,Department of Computer Science,Cluj-Napoca,Romania"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/231"},{"key":"ref2","author":"Dosovitskiy","year":"2020","journal-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20077-9_1"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00022"},{"key":"ref5","volume-title":"The lottery ticket hypothesis: Finding sparse, trainable neural networks","author":"Frankle","year":"2018"},{"key":"ref6","author":"Han","year":"2015","journal-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding"},{"issue":"1","key":"ref7","doi-asserted-by":"crossref","DOI":"10.3390\/electronics10010072","article-title":"Layer-wise network compression using gaussian mixture model","volume":"10","author":"Lee","year":"2021","journal-title":"Electronics"},{"key":"ref8","author":"Li","year":"2017","journal-title":"Pruning filters for efficient convnets"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.298"},{"issue":"241","key":"ref10","first-page":"1","article-title":"Sparsity in deep learning: Pruning and growth for efficient inference and training in neural networks","volume":"22","author":"Hoefler","year":"2021","journal-title":"Journal of Machine Learning Research"},{"key":"ref11","author":"Miyashita","year":"2016","journal-title":"Convolutional neural networks using logarithmic data representation"},{"key":"ref12","article-title":"Post training 4-bit quantization of convolutional networks for rapid-deployment","volume":"32","author":"Banner","year":"2019","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref13","author":"Courbariaux","year":"2016","journal-title":"Binarized neural networks: Training deep neural networks with weights and activations constrained to+ l or-I"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_32"},{"key":"ref15","author":"Nagel","year":"2021","journal-title":"A white paper on neural network quantization"},{"key":"ref16","author":"Hinton","year":"2015","journal-title":"Distilling the knowledge in a neural network"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58529-7_2"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01052"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02033"},{"key":"ref20","volume-title":"Neural architecture search: Insights from 1 000 papers","author":"White","year":"2023"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s00158-021-03001-2"},{"key":"ref23","author":"Brock","year":"2017","journal-title":"Smash: one-shot model architecture search through hypernetworks"},{"key":"ref24","volume-title":"Open neural network exchange (onnx)"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.2307\/j.ctvcm4g18.8"},{"key":"ref26","volume-title":"TensorFlow: Large-scale machine learning on heterogeneous systems","author":"A"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"ref28","author":"Vaswani","year":"2017","journal-title":"Attention is all you need"},{"key":"ref29","article-title":"Improving the speed of neural networks on cpus","volume-title":"Deep Learning and Unsupervised Feature Learning Workshop, NIPS 2011","author":"Vanhoucke","year":"2011"},{"key":"ref30","first-page":"1737","article-title":"Deep learning with limited numerical precision","volume-title":"International conference on machine learning","author":"Gupta","year":"2015"},{"key":"ref31","volume-title":"Practical quantization in pytorch","author":"Subramanian","year":"2022"},{"key":"ref32","author":"He","year":"2015","journal-title":"Deep residual learning for image recognition"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01499"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref35","volume-title":"Ambarella automotive products"},{"key":"ref36","volume-title":"Qualcomm ai resources overview"},{"key":"ref37","volume-title":"Journey-5 ai processor product bulletin"}],"event":{"name":"2024 IEEE 20th International Conference on Intelligent Computer Communication and Processing (ICCP)","location":"Cluj-Napoca, Romania","start":{"date-parts":[[2024,10,17]]},"end":{"date-parts":[[2024,10,19]]}},"container-title":["2024 IEEE 20th International Conference on Intelligent Computer Communication and Processing (ICCP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10792975\/10792923\/10792988.pdf?arnumber=10792988","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,18]],"date-time":"2024-12-18T07:30:39Z","timestamp":1734507039000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10792988\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,17]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/iccp63557.2024.10792988","relation":{},"subject":[],"published":{"date-parts":[[2024,10,17]]}}}