{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T05:50:22Z","timestamp":1775713822130,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":31,"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"}],"funder":[{"name":"National Key R&D program","award":["2016YFC0801700"],"award-info":[{"award-number":["2016YFC0801700"]}]},{"name":"National Natural Science Foundation of China","award":["51822802,51778033,U1811463,91746301"],"award-info":[{"award-number":["51822802,51778033,U1811463,91746301"]}]},{"name":"Beijing Science and Technology Project","award":["Z171100005117001"],"award-info":[{"award-number":["Z171100005117001"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,7,25]]},"DOI":"10.1145\/3292500.3330861","type":"proceedings-article","created":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T13:17:26Z","timestamp":1564147046000},"page":"1123-1131","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":44,"title":["Multiple Relational Attention Network for Multi-task Learning"],"prefix":"10.1145","author":[{"given":"Jiejie","family":"Zhao","sequence":"first","affiliation":[{"name":"Beihang University, Beijing, China"}]},{"given":"Bowen","family":"Du","sequence":"additional","affiliation":[{"name":"Beihang University, Beijing, China"}]},{"given":"Leilei","family":"Sun","sequence":"additional","affiliation":[{"name":"Beihang University, Beijing, China"}]},{"given":"Fuzhen","family":"Zhuang","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences, Beijing, China"}]},{"given":"Weifeng","family":"Lv","sequence":"additional","affiliation":[{"name":"Beihang University, Beijing, China"}]},{"given":"Hui","family":"Xiong","sequence":"additional","affiliation":[{"name":"Rutgers University, New Brunswick, NJ, USA"}]}],"member":"320","published-online":{"date-parts":[[2019,7,25]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-007-5040-8"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00451"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007379606734"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1198\/jasa.2010.tm08281"},{"key":"e_1_3_2_1_5_1","unstructured":"Carlo Ciliberto Alessandro Rudi Lorenzo Rosasco and Massimiliano Pontil. 2017. Consistent multitask learning with nonlinear output relations. In Advances in Neural Information Processing Systems. 1986--1996.   Carlo Ciliberto Alessandro Rudi Lorenzo Rosasco and Massimiliano Pontil. 2017. Consistent multitask learning with nonlinear output relations. In Advances in Neural Information Processing Systems. 1986--1996."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Chaoqun Duan Lei Cui Xinchi Chen Furu Wei Conghui Zhu and Tiejun Zhao. 2018. Attention-Fused Deep Matching Network for Natural Language Inference. In IJCAI. 4033--4040.   Chaoqun Duan Lei Cui Xinchi Chen Furu Wei Conghui Zhu and Tiejun Zhao. 2018. Attention-Fused Deep Matching Network for Natural Language Inference. In IJCAI. 4033--4040.","DOI":"10.24963\/ijcai.2018\/561"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-2139"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098043"},{"key":"e_1_3_2_1_9_1","unstructured":"Sergey Ioffe and Christian Szegedy. 2015. Batch normalization: Accelerating deep network training by reducing internal covariate shift. arXiv preprint arXiv:1502.03167(2015).  Sergey Ioffe and Christian Szegedy. 2015. Batch normalization: Accelerating deep network training by reducing internal covariate shift. arXiv preprint arXiv:1502.03167(2015)."},{"key":"e_1_3_2_1_10_1","unstructured":"Lukasz Kaiser Aidan N Gomez Noam Shazeer Ashish Vaswani Niki Parmar Llion Jones and Jakob Uszkoreit. 2017. One model to learn them all. arXiv preprint arXiv:1706.05137(2017).  Lukasz Kaiser Aidan N Gomez Noam Shazeer Ashish Vaswani Niki Parmar Llion Jones and Jakob Uszkoreit. 2017. One model to learn them all. arXiv preprint arXiv:1706.05137(2017)."},{"key":"e_1_3_2_1_11_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980(2014).","author":"Kingma Diederik P","year":"2014"},{"key":"e_1_3_2_1_12_1","unstructured":"Haebeom Lee Eunho Yang and Sung Ju Hwang. 2017. Deep Asymmetric Multi-task Feature Learning. arXiv preprint arXiv:1708.00260(2017).  Haebeom Lee Eunho Yang and Sung Ju Hwang. 2017. Deep Asymmetric Multi-task Feature Learning. arXiv preprint arXiv:1708.00260(2017)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939834"},{"key":"e_1_3_2_1_14_1","volume-title":"Mo Yu, Bing Xiang, Bowen Zhou, and Yoshua Bengio.","author":"Lin Zhouhan","year":"2017"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Minh-Thang Luong Hieu Pham and Christopher D Manning. 2015. Effective approaches to attention-based neural machine translation. arXiv preprint arXiv:1508.04025(2015).  Minh-Thang Luong Hieu Pham and Christopher D Manning. 2015. Effective approaches to attention-based neural machine translation. arXiv preprint arXiv:1508.04025(2015).","DOI":"10.18653\/v1\/D15-1166"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220007"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.433"},{"key":"e_1_3_2_1_18_1","volume-title":"InProceedings of the 27th international conference on machine learning (ICML-10)","author":"Nair Vinod","year":"2010"},{"key":"e_1_3_2_1_19_1","unstructured":"Gabriel Parra and Felipe Tobar. 2017. Spectral mixture kernels for multi-output Gaussian processes. In Advances in Neural Information Processing Systems. 6681--6690.   Gabriel Parra and Felipe Tobar. 2017. Spectral mixture kernels for multi-output Gaussian processes. In Advances in Neural Information Processing Systems. 6681--6690."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3272019"},{"key":"e_1_3_2_1_21_1","volume-title":"Action-Affect-Gender Classification Using Multi-task Representation Learning. In CVPR Workshops. 2249--2258","author":"Shields Timothy J","year":"2017"},{"key":"e_1_3_2_1_22_1","unstructured":"Alexander Shishkin Anastasia Bezzubtseva Alexey Drutsa Ilia Shishkov Ekaterina Gladkikh Gleb Gusev and Pavel Serdyukov. 2016. Efficient high-order interaction-aware feature selection based on conditional mutual information. In Advances in Neural Information Processing Systems. 4637--4645.   Alexander Shishkin Anastasia Bezzubtseva Alexey Drutsa Ilia Shishkov Ekaterina Gladkikh Gleb Gusev and Pavel Serdyukov. 2016. Efficient high-order interaction-aware feature selection based on conditional mutual information. In Advances in Neural Information Processing Systems. 4637--4645."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-2038"},{"key":"e_1_3_2_1_24_1","volume-title":"Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases. arXiv preprint arXiv:1802.06516(2018).","author":"Sun Mengying","year":"2018"},{"key":"e_1_3_2_1_25_1","volume-title":"ukasz Kaiser, and Illia Polosukhin","author":"Vaswani Ashish","year":"2017"},{"key":"e_1_3_2_1_26_1","unstructured":"Yongxin Yang and Timothy Hospedales. 2016. Deep multi-task representation learning: A tensor factorisation approach.arXiv preprint arXiv:1605.06391(2016).  Yongxin Yang and Timothy Hospedales. 2016. Deep multi-task representation learning: A tensor factorisation approach.arXiv preprint arXiv:1605.06391(2016)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1174"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2015.02.025"},{"key":"e_1_3_2_1_29_1","volume-title":"CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining. In 2018 IEEE International Conference on Data Mining (ICDM). IEEE, 757--766","author":"Zhang Liang","year":"2018"},{"key":"e_1_3_2_1_30_1","volume-title":"A Survey on Multi-Task Learning. CoRRabs\/1707.08114","author":"Zhang Yu","year":"2017"},{"key":"e_1_3_2_1_31_1","unstructured":"Yu Zhang and Dit-Yan Yeung. 2012. A convex formulation for learning task relationships in multi-task learning. arXiv preprint arXiv:1203.3536(2012).   Yu Zhang and Dit-Yan Yeung. 2012. A convex formulation for learning task relationships in multi-task learning. arXiv preprint arXiv:1203.3536(2012)."}],"event":{"name":"KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Anchorage AK USA","acronym":"KDD '19","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"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\/3292500.3330861","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3292500.3330861","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:26:02Z","timestamp":1750206362000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3330861"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,25]]},"references-count":31,"alternative-id":["10.1145\/3292500.3330861","10.1145\/3292500"],"URL":"https:\/\/doi.org\/10.1145\/3292500.3330861","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"}}]}}