{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:02:49Z","timestamp":1755907369787,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,6,12]],"date-time":"2024-06-12T00:00:00Z","timestamp":1718150400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100006374","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,6,12]]},"DOI":"10.1145\/3649476.3658736","type":"proceedings-article","created":{"date-parts":[[2024,6,10]],"date-time":"2024-06-10T12:29:41Z","timestamp":1718022581000},"page":"730-735","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["NeuroBlend: Towards Low-Power yet Accurate Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8088-5800","authenticated-orcid":false,"given":"Arash","family":"Fayyazi","sequence":"first","affiliation":[{"name":"University of Southern California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4731-3568","authenticated-orcid":false,"given":"Mahdi","family":"Nazemi","sequence":"additional","affiliation":[{"name":"University of Southern California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9656-2627","authenticated-orcid":false,"given":"Arya","family":"Fayyazi","sequence":"additional","affiliation":[{"name":"Electrical and Computer Engineering, University of Southern California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2677-7307","authenticated-orcid":false,"given":"Massoud","family":"Pedram","sequence":"additional","affiliation":[{"name":"University of Southern California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,6,12]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Improved training of binary networks for human pose estimation and image recognition. CoRR abs\/1904.05868","author":"Adrian Bulat","year":"2019","unstructured":"Adrian Bulat 2019. Improved training of binary networks for human pose estimation and image recognition. CoRR abs\/1904.05868 (2019). arXiv:1904.05868"},{"key":"e_1_3_2_1_2_1","unstructured":"Jacob Devlin 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies."},{"key":"e_1_3_2_1_3_1","volume-title":"Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks. In International Conference on Computer Vision.","author":"Gong Ruihao","year":"2019","unstructured":"Ruihao Gong 2019. Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks. In International Conference on Computer Vision."},{"key":"e_1_3_2_1_4_1","volume-title":"Deep Residual Learning for Image Recognition. In Conference on Computer Vision and Pattern Recognition. IEEE.","author":"He Kaiming","year":"2016","unstructured":"Kaiming He 2016. Deep Residual Learning for Image Recognition. In Conference on Computer Vision and Pattern Recognition. IEEE."},{"key":"e_1_3_2_1_5_1","unstructured":"Andrew\u00a0G. Howard 2017. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications. (2017). arXiv:1704.04861"},{"key":"e_1_3_2_1_6_1","volume-title":"Densely Connected Convolutional Networks. In Conference on Computer Vision and Pattern Recognition. IEEE Computer Society.","author":"Huang Gao","year":"2017","unstructured":"Gao Huang 2017. Densely Connected Convolutional Networks. In Conference on Computer Vision and Pattern Recognition. IEEE Computer Society."},{"key":"e_1_3_2_1_7_1","unstructured":"Itay Hubara 2016. Binarized Neural Networks. In Advances in Neural Information Processing Systems."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.454"},{"key":"e_1_3_2_1_9_1","unstructured":"Alex Krizhevsky Geoffrey Hinton 2009. Learning multiple layers of features from tiny images. (2009)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_44"},{"key":"e_1_3_2_1_11_1","volume-title":"ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions. In European Conference on Computer Vision.","author":"Liu Zechun","year":"2020","unstructured":"Zechun Liu 2020. ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions. In European Conference on Computer Vision."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"e_1_3_2_1_13_1","volume-title":"8th International Conference on Learning Representations, ICLR,.","author":"Mart\u00ednez Brais","year":"2020","unstructured":"Brais Mart\u00ednez 2020. Training binary neural networks with real-to-binary convolutions. In 8th International Conference on Learning Representations, ICLR,."},{"volume-title":"29th IEEE FCCM.","author":"Mahdi Nazemi","key":"e_1_3_2_1_14_1","unstructured":"Mahdi Nazemi 2021. NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic. In 29th IEEE FCCM."},{"key":"e_1_3_2_1_15_1","volume-title":"Forward and Backward Information Retention for Accurate Binary Neural Networks. In Conference on Computer Vision and Pattern Recognition, CVPR. Computer Vision Foundation \/ IEEE.","author":"Qin Haotong","year":"2020","unstructured":"Haotong Qin 2020. Forward and Backward Information Retention for Accurate Binary Neural Networks. In Conference on Computer Vision and Pattern Recognition, CVPR. Computer Vision Foundation \/ IEEE."},{"volume-title":"XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks","author":"Mohammad Rastegari","key":"e_1_3_2_1_16_1","unstructured":"Mohammad Rastegari 2016. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks. In ECCV. Springer."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.842"},{"key":"e_1_3_2_1_19_1","volume-title":"Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems, NeurIPS.","author":"Tolstikhin O.","year":"2021","unstructured":"Ilya\u00a0O. Tolstikhin 2021. MLP-Mixer: An all-MLP Architecture for Vision. In Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems, NeurIPS."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3020078.3021744"},{"key":"e_1_3_2_1_21_1","volume-title":"CoRR abs\/1706.03762","author":"Ashish Vaswani","year":"2017","unstructured":"Ashish Vaswani 2017. Attention Is All You Need. CoRR abs\/1706.03762 (2017). arXiv:1706.03762"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3117908"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Yichi Zhang 2021. FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations. In FPGA. ACM.","DOI":"10.1145\/3431920.3439296"},{"key":"e_1_3_2_1_24_1","unstructured":"Shuchang Zhou 2016. DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients. (2016). arxiv:1606.06160"}],"event":{"name":"GLSVLSI '24: Great Lakes Symposium on VLSI 2024","sponsor":["SIGDA ACM Special Interest Group on Design Automation"],"location":"Clearwater FL USA","acronym":"GLSVLSI '24"},"container-title":["Proceedings of the Great Lakes Symposium on VLSI 2024"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3649476.3658736","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3649476.3658736","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T02:31:55Z","timestamp":1755829915000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3649476.3658736"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,12]]},"references-count":24,"alternative-id":["10.1145\/3649476.3658736","10.1145\/3649476"],"URL":"https:\/\/doi.org\/10.1145\/3649476.3658736","relation":{},"subject":[],"published":{"date-parts":[[2024,6,12]]},"assertion":[{"value":"2024-06-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}