{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:47:06Z","timestamp":1750308426301,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,5,20]],"date-time":"2021-05-20T00:00:00Z","timestamp":1621468800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,20]]},"DOI":"10.1145\/3468691.3468731","type":"proceedings-article","created":{"date-parts":[[2021,8,7]],"date-time":"2021-08-07T12:01:52Z","timestamp":1628337712000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["Accelerating the Training Process of Generative Query Network"],"prefix":"10.1145","author":[{"given":"Wenbing","family":"Zhang","sequence":"first","affiliation":[{"name":"Chinese Academy of Sciences and University of Chinese Academy of Sciences, China"}]},{"given":"Tianjian","family":"Yang","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences and University of Chinese Academy of Sciences, China"}]},{"given":"Kohei","family":"Takeda","sequence":"additional","affiliation":[{"name":"NTT DATA Corporation, Japan"}]},{"given":"Feng","family":"Chen","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences and Guiyang Academy of Information Technology, China"}]},{"given":"Qiao","family":"Sun","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences and Guiyang Academy of Information Technology, China"}]},{"given":"Tomoya","family":"Kaburaki","sequence":"additional","affiliation":[{"name":"NTT DATA Corporation, Japan"}]}],"member":"320","published-online":{"date-parts":[[2021,8,7]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"J. Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron\u00a0C. Courville and Yoshua Bengio. 2015. A Recurrent Latent Variable Model for Sequential Data. In NIPS.  J. Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron\u00a0C. Courville and Yoshua Bengio. 2015. A Recurrent Latent Variable Model for Sequential Data. In NIPS."},{"volume-title":"Neural scene representation and rendering. Science 360, 6394","year":"2018","author":"Eslami Ali","key":"e_1_3_2_1_2_1"},{"key":"e_1_3_2_1_3_1","unstructured":"Priya Goyal Piotr Doll\u00e1r Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia and Kaiming He. 2017. Accurate Large Minibatch SGD: Training ImageNet in 1 Hour. (2017).  Priya Goyal Piotr Doll\u00e1r Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia and Kaiming He. 2017. Accurate Large Minibatch SGD: Training ImageNet in 1 Hour. (2017)."},{"volume-title":"Image-to-Image Translation with Conditional Adversarial Networks. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","year":"2017","author":"Isola Phillip","key":"e_1_3_2_1_4_1"},{"key":"e_1_3_2_1_5_1","unstructured":"Seongchan Kim Seungkyun Hong Minsu Joh and Sa-Kwang Song. 2017. DeepRain: ConvLSTM Network for Precipitation Prediction using Multichannel Radar Data. CoRR abs\/1711.02316(2017). arxiv:1711.02316http:\/\/arxiv.org\/abs\/1711.02316  Seongchan Kim Seungkyun Hong Minsu Joh and Sa-Kwang Song. 2017. DeepRain: ConvLSTM Network for Precipitation Prediction using Multichannel Radar Data. CoRR abs\/1711.02316(2017). arxiv:1711.02316http:\/\/arxiv.org\/abs\/1711.02316"},{"volume-title":"Adam: A Method for Stochastic Optimization. Computer ence","year":"2014","author":"Kingma Diederik","key":"e_1_3_2_1_6_1"},{"key":"e_1_3_2_1_7_1","unstructured":"Shen Li. [n.d.]. GETTING STARTED WITH DISTRIBUTED DATA PARALLEL. https:\/\/pytorch.org\/tutorials\/beginner\/dist_overview.html.  Shen Li. [n.d.]. GETTING STARTED WITH DISTRIBUTED DATA PARALLEL. https:\/\/pytorch.org\/tutorials\/beginner\/dist_overview.html."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.14778\/3415478.3415530"},{"key":"e_1_3_2_1_9_1","unstructured":"Myle Ott Sergey Edunov David Grangier and Michael Auli. 2018. Scaling Neural Machine Translation. CoRR abs\/1806.00187(2018). arxiv:1806.00187http:\/\/arxiv.org\/abs\/1806.00187  Myle Ott Sergey Edunov David Grangier and Michael Auli. 2018. Scaling Neural Machine Translation. CoRR abs\/1806.00187(2018). arxiv:1806.00187http:\/\/arxiv.org\/abs\/1806.00187"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2008.09.002"},{"key":"e_1_3_2_1_11_1","unstructured":"Christopher\u00a0J. Shallue Jaehoon Lee Joseph\u00a0M. Antognini Jascha Sohl-Dickstein Roy Frostig and George\u00a0E. Dahl. 2018. Measuring the Effects of Data Parallelism on Neural Network Training. CoRR abs\/1811.03600(2018). arxiv:1811.03600http:\/\/arxiv.org\/abs\/1811.03600  Christopher\u00a0J. Shallue Jaehoon Lee Joseph\u00a0M. Antognini Jascha Sohl-Dickstein Roy Frostig and George\u00a0E. Dahl. 2018. Measuring the Effects of Data Parallelism on Neural Network Training. CoRR abs\/1811.03600(2018). arxiv:1811.03600http:\/\/arxiv.org\/abs\/1811.03600"},{"volume-title":"Mental rotation of three-dimensional objects. Science 171, 3972","year":"1971","author":"Shepard N","key":"e_1_3_2_1_12_1"},{"volume-title":"International Conference on Neural Information Processing Systems.","year":"2015","author":"Sohn Kihyuk","key":"e_1_3_2_1_13_1"},{"volume-title":"High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs. 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","year":"2018","author":"Wang T.","key":"e_1_3_2_1_14_1"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"e_1_3_2_1_16_1","unstructured":"Jesper Wohlert. [n.d.]. generative-query-network-pytorch. https:\/\/github.com\/wohlert\/generative-query-network-pytorch.  Jesper Wohlert. [n.d.]. generative-query-network-pytorch. https:\/\/github.com\/wohlert\/generative-query-network-pytorch."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Richard Zhang Phillip Isola and Alexei\u00a0A. Efros. 2016. Colorful Image Colorization. In ECCV.  Richard Zhang Phillip Isola and Alexei\u00a0A. Efros. 2016. Colorful Image Colorization. In ECCV.","DOI":"10.1007\/978-3-319-46487-9_40"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"}],"event":{"name":"CNIOT2021: 2021 2nd International Conference on Computing, Networks and Internet of Things","acronym":"CNIOT2021","location":"Beijing China"},"container-title":["2021 2nd International Conference on Computing, Networks and Internet of Things (CNIOT 2021)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3468691.3468731","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3468691.3468731","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T17:49:35Z","timestamp":1750268975000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3468691.3468731"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,20]]},"references-count":18,"alternative-id":["10.1145\/3468691.3468731","10.1145\/3468691"],"URL":"https:\/\/doi.org\/10.1145\/3468691.3468731","relation":{},"subject":[],"published":{"date-parts":[[2021,5,20]]}}}