{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T05:38:30Z","timestamp":1757309910514,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,7,25]],"date-time":"2019-07-25T00:00:00Z","timestamp":1564012800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,7,25]]},"DOI":"10.1145\/3292500.3330696","type":"proceedings-article","created":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T13:17:26Z","timestamp":1564147046000},"page":"2518-2526","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["MSURU: Large Scale E-commerce Image Classification with Weakly Supervised Search Data"],"prefix":"10.1145","author":[{"given":"Yina","family":"Tang","sequence":"first","affiliation":[{"name":"Facebook Inc., Menlo Park, CA, USA"}]},{"given":"Fedor","family":"Borisyuk","sequence":"additional","affiliation":[{"name":"Facebook Inc., Menlo Park, CA, USA"}]},{"given":"Siddarth","family":"Malreddy","sequence":"additional","affiliation":[{"name":"Facebook Inc., Menlo Park, CA, USA"}]},{"given":"Yixuan","family":"Li","sequence":"additional","affiliation":[{"name":"Facebook Inc., Menlo Park, CA, USA"}]},{"given":"Yiqun","family":"Liu","sequence":"additional","affiliation":[{"name":"Facebook Inc., Menlo Park, CA, USA"}]},{"given":"Sergey","family":"Kirshner","sequence":"additional","affiliation":[{"name":"Facebook Inc., Menlo Park, CA, USA"}]}],"member":"320","published-online":{"date-parts":[[2019,7,25]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2007.912312"},{"volume-title":"et almbox","year":"2003","author":"Bengio Yoshua","key":"e_1_3_2_1_3_1"},{"key":"e_1_3_2_1_4_1","unstructured":"Alessandro Bergamo and Lorenzo Torresani. 2010. Exploiting Weakly-labeled Web Images to Improve Object Classification: A Domain Adaptation Approach. In NIPS.   Alessandro Bergamo and Lorenzo Torresani. 2010. Exploiting Weakly-labeled Web Images to Improve Object Classification: A Domain Adaptation Approach. In NIPS."},{"key":"e_1_3_2_1_5_1","unstructured":"Dhruba Borthakur. 2013. Under the Hood: Building and open-sourcing RocksDB. https:\/\/code.facebook.com\/posts\/666746063357648\/under-the-hood-building-and-open-sourcing-rocksdb\/.  Dhruba Borthakur. 2013. Under the Hood: Building and open-sourcing RocksDB. https:\/\/code.facebook.com\/posts\/666746063357648\/under-the-hood-building-and-open-sourcing-rocksdb\/."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/2987189.2987282"},{"key":"e_1_3_2_1_7_1","unstructured":"Caffe2. 2017. https:\/\/caffe2.ai\/.  Caffe2. 2017. https:\/\/caffe2.ai\/."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.168"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.178"},{"volume-title":"Word Translation Without Parallel Data. CoRR","year":"2017","author":"Conneau Alexis","key":"e_1_3_2_1_10_1"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.14778\/2536222.2536239"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"J. Deng W. Dong R. Socher L. Li Kai Li and Li Fei-Fei. 2009. ImageNet: A large-scale hierarchical image database. In CVPR.  J. Deng W. Dong R. Socher L. Li Kai Li and Li Fei-Fei. 2009. ImageNet: A large-scale hierarchical image database. In CVPR.","DOI":"10.1109\/CVPR.2009.5206848"},{"volume-title":"Learning Everything about Anything: Webly-Supervised Visual Concept Learning. CVPR","year":"2014","author":"Divvala Santosh Kumar","key":"e_1_3_2_1_13_1"},{"key":"e_1_3_2_1_14_1","unstructured":"Jeffrey Dunn. 2016. Introducing FBLearner Flow: Facebook's AI backbone. hhttps:\/\/code.fb.com\/core-data\/introducing-fblearner-flow-facebook-s-ai-backbone\/  Jeffrey Dunn. 2016. Introducing FBLearner Flow: Facebook's AI backbone. hhttps:\/\/code.fb.com\/core-data\/introducing-fblearner-flow-facebook-s-ai-backbone\/"},{"volume-title":"Large Minibatch SGD: Training ImageNet in 1 Hour. CoRR","year":"2017","author":"Goyal Priya","key":"e_1_3_2_1_15_1"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219843"},{"volume-title":"On Using Very Large Target Vocabulary for Neural Machine Translation. ACL","year":"2015","author":"Jean S\u00e9","key":"e_1_3_2_1_17_1"},{"volume-title":"Billion-scale similarity search with gpus. arXiv preprint arXiv:1702.08734","year":"2017","author":"Johnson Jeff","key":"e_1_3_2_1_18_1"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Armand Joulin Laurens van der Maaten Allan Jabri and Nicolas Vasilache. 2016. Learning visual features from large weakly supervised data. In ECCV.  Armand Joulin Laurens van der Maaten Allan Jabri and Nicolas Vasilache. 2016. Learning visual features from large weakly supervised data. In ECCV.","DOI":"10.1007\/978-3-319-46478-7_5"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Jonathan Krause Benjamin Sapp Andrew Howard Howard Zhou Alexander Toshev Tom Duerig James Philbin and Li Fei-Fei. 2016. The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. In ECCV.  Jonathan Krause Benjamin Sapp Andrew Howard Howard Zhou Alexander Toshev Tom Duerig James Philbin and Li Fei-Fei. 2016. The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. In ECCV.","DOI":"10.1007\/978-3-319-46487-9_19"},{"volume-title":"SGDR: Stochastic Gradient Descent with Restarts. CoRR","year":"2016","author":"Loshchilov Ilya","key":"e_1_3_2_1_21_1"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939728"},{"key":"e_1_3_2_1_23_1","first-page":"185","article-title":"Exploring the Limits of Weakly Supervised Pretraining","volume":"2018","author":"Mahajan Dhruv","year":"2018","journal-title":"ECCV"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(00)00118-5"},{"key":"e_1_3_2_1_25_1","volume-title":"Soviet Mathematics Doklady","volume":"27","author":"Nesterov Y.","year":"1983"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Li Niu Qingtao Tang Ashok Veeraraghavan and Ashutosh Sabharwal. 2018. Learning From Noisy Web Data With Category-Level Supervision. In CVPR.  Li Niu Qingtao Tang Ashok Veeraraghavan and Ashutosh Sabharwal. 2018. Learning From Noisy Web Data With Category-Level Supervision. In CVPR.","DOI":"10.1109\/CVPR.2018.00802"},{"volume-title":"Training Deep Neural Networks on Noisy Labels with Bootstrapping. CoRR","year":"2014","author":"Reed Scott E.","key":"e_1_3_2_1_27_1"},{"volume-title":"A neural network catalyzer for multi-dimensional similarity search. CoRR","year":"2018","author":"Sablayrolles Alexandre","key":"e_1_3_2_1_28_1"},{"volume-title":"Deep learning based large scale visual recommendation and search for e-commerce. arXiv preprint arXiv:1703.02344","year":"2017","author":"Shankar Devashish","key":"e_1_3_2_1_29_1"},{"volume-title":"Learning from Noisy Labels with Deep Neural Networks. CoRR","year":"2014","author":"Sukhbaatar Sainbayar","key":"e_1_3_2_1_30_1"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Chen Sun Abhinav Shrivastava Saurabh Singh and Abhinav Gupta. 2017. Revisiting unreasonable effectiveness of data in deep learning era. In ICCV.  Chen Sun Abhinav Shrivastava Saurabh Singh and Abhinav Gupta. 2017. Revisiting unreasonable effectiveness of data in deep learning era. In ICCV.","DOI":"10.1109\/ICCV.2017.97"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"Yaniv Taigman Ming Yang Marc'Aurelio Ranzato and Lior Wolf. 2015. Web-scale training for face identification. In CVPR.  Yaniv Taigman Ming Yang Marc'Aurelio Ranzato and Lior Wolf. 2015. Web-scale training for face identification. In CVPR.","DOI":"10.1109\/CVPR.2015.7298891"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/2812802"},{"volume-title":"Presto: Interacting with petabytes of data at Facebook. https:\/\/www.facebook.com\/notes\/facebook-engineering\/presto-interacting-with-petabytes-of-data-at-facebook\/10151786197628920\/.","year":"2013","author":"Traverso Martin","key":"e_1_3_2_1_34_1"},{"volume-title":"CVPR","year":"2015","author":"Xiao Tong","key":"e_1_3_2_1_35_1"},{"volume-title":"Aggregated Residual Transformations for Deep Neural Networks. CVPR","year":"2017","author":"Xie Saining","key":"e_1_3_2_1_36_1"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098162"},{"key":"e_1_3_2_1_38_1","unstructured":"Shengqi Yang Cristina Scheau and Fei Yang. 2017b. Facebook's Photo Search. https:\/\/code.fb.com\/ml-applications\/under-the-hood-photo-search\/  Shengqi Yang Cristina Scheau and Fei Yang. 2017b. Facebook's Photo Search. https:\/\/code.fb.com\/ml-applications\/under-the-hood-photo-search\/"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3041021.3054201"},{"volume-title":"Making Classification Competitive for Deep Metric Learning. CoRR","year":"2018","author":"Zhai Andrew","key":"e_1_3_2_1_40_1"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.311"}],"event":{"name":"KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"location":"Anchorage AK USA","acronym":"KDD '19"},"container-title":["Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3330696","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3292500.3330696","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:02:10Z","timestamp":1750208530000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3330696"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,25]]},"references-count":41,"alternative-id":["10.1145\/3292500.3330696","10.1145\/3292500"],"URL":"https:\/\/doi.org\/10.1145\/3292500.3330696","relation":{},"subject":[],"published":{"date-parts":[[2019,7,25]]},"assertion":[{"value":"2019-07-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}