{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T18:02:45Z","timestamp":1774029765249,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":46,"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\/3292500.3330841","type":"proceedings-article","created":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T13:17:26Z","timestamp":1564147046000},"page":"34-43","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":38,"title":["A Minimax Game for Instance based Selective Transfer Learning"],"prefix":"10.1145","author":[{"given":"Bo","family":"Wang","sequence":"first","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"given":"Minghui","family":"Qiu","sequence":"additional","affiliation":[{"name":"Alibaba Group &amp; Zhejiang University, Hangzhou, China"}]},{"given":"Xisen","family":"Wang","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"given":"Yaliang","family":"Li","sequence":"additional","affiliation":[{"name":"Alibaba Group, Seattle, China"}]},{"given":"Yu","family":"Gong","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"given":"Xiaoyi","family":"Zeng","sequence":"additional","affiliation":[{"name":"Aliabab Group, Hangzhou, China"}]},{"given":"Jun","family":"Huang","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"given":"Bo","family":"Zheng","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"given":"Deng","family":"Cai","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]},{"given":"Jingren","family":"Zhou","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]}],"member":"320","published-online":{"date-parts":[[2019,7,25]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Andreas Argyriou Theodoros Evgeniou and Massimiliano Pontil. 2007. Multitask feature learning. In NIPS.  Andreas Argyriou Theodoros Evgeniou and Massimiliano Pontil. 2007. Multitask feature learning. In NIPS.","DOI":"10.2139\/ssrn.1031158"},{"key":"e_1_3_2_1_2_1","volume-title":"bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. ACL","author":"Blitzer John","year":"2007"},{"key":"e_1_3_2_1_3_1","volume-title":"Jordan","author":"Cao Zhangjie","year":"2017"},{"key":"e_1_3_2_1_4_1","volume-title":"Blitzer","author":"Chen Minmin","year":"2011"},{"key":"e_1_3_2_1_5_1","volume-title":"CoRR abs\/1606.07792","author":"Cheng Heng-Tze","year":"2016"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273521"},{"key":"e_1_3_2_1_8_1","unstructured":"Hal Daume III. 2007. Frustratingly Easy Domain Adaptation. In ACL.  Hal Daume III. 2007. Frustratingly Easy Domain Adaptation. In ACL."},{"key":"e_1_3_2_1_9_1","volume-title":"Learning What Data to Learn. CoRR","author":"Fan Yang","year":"2017"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Meng Fang Yuan Li and Trevor Cohn. 2017. Learning how to Active Learn: A Deep Reinforcement Learning Approach. In EMNLP.  Meng Fang Yuan Li and Trevor Cohn. 2017. Learning how to Active Learn: A Deep Reinforcement Learning Approach. In EMNLP.","DOI":"10.18653\/v1\/D17-1063"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Jun Feng Minlie Huang Li Zhao Yang Yang and Xiaoyan Zhu. 2018. Reinforcement Learning for Relation Classification From Noisy Data. In AAAI.  Jun Feng Minlie Huang Li Zhao Yang Yang and Xiaoyan Zhu. 2018. Reinforcement Learning for Relation Classification From Noisy Data. In AAAI.","DOI":"10.1609\/aaai.v32i1.12063"},{"key":"e_1_3_2_1_12_1","first-page":"1","article-title":"Domain-adversarial Training of Neural Networks","volume":"17","author":"Ganin Yaroslav","year":"2016","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_3_2_1_13_1","unstructured":"Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In NIPS.   Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In NIPS."},{"key":"e_1_3_2_1_14_1","unstructured":"Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. CoRR abs\/1703.04247 (2017).  Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li and Xiuqiang He. 2017. DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. CoRR abs\/1703.04247 (2017)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080777"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3209981"},{"key":"e_1_3_2_1_17_1","volume-title":"NIPS.","author":"Huang Jiayuan","year":"2006"},{"key":"e_1_3_2_1_18_1","volume-title":"Likelihood, Adversary? arXiv:1511.05101.","author":"Huszar Ferenc","year":"2015"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Tushar Khot Ashish Sabharwal and Peter Clark. 2018. SciTail: A Textual Entailment Dataset from Science Question Answering. In AAAI.  Tushar Khot Ashish Sabharwal and Peter Clark. 2018. SciTail: A Textual Entailment Dataset from Science Question Answering. In AAAI.","DOI":"10.1609\/aaai.v32i1.12022"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1001"},{"key":"e_1_3_2_1_21_1","volume-title":"Human-level control through deep reinforcement learning. Nature","author":"Mnih Volodymyr","year":"2015"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Lili Mou Rui Men Ge Li Yan Xu Lu Zhang Rui Yan and Zhi Jin. 2016. Natural Language Inference by Tree-Based Convolution and Heuristic Matching. In ACL.  Lili Mou Rui Men Ge Li Yan Xu Lu Zhang Rui Yan and Zhi Jin. 2016. Natural Language Inference by Tree-Based Convolution and Heuristic Matching. In ACL.","DOI":"10.18653\/v1\/P16-2022"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Lili Mou Zhao Meng Rui Yan Ge Li Yan Xu Lu Zhang and Zhi Jin. 2016. How Transferable are Neural Networks in NLP Applications?. In EMNLP.  Lili Mou Zhao Meng Rui Yan Ge Li Yan Xu Lu Zhang and Zhi Jin. 2016. How Transferable are Neural Networks in NLP Applications?. In EMNLP.","DOI":"10.18653\/v1\/D16-1046"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Ankur P. Parikh Oscar T\u00e4ckstr\u00f6m Dipanjan Das and Jakob Uszkoreit. 2016. A Decomposable Attention Model for Natural Language Inference. In EMNLP.  Ankur P. Parikh Oscar T\u00e4ckstr\u00f6m Dipanjan Das and Jakob Uszkoreit. 2016. A Decomposable Attention Model for Natural Language Inference. In EMNLP.","DOI":"10.18653\/v1\/D16-1244"},{"key":"e_1_3_2_1_26_1","volume-title":"d.}. Learning Sampling Policies for Domain Adaptation. CoRR, abs\/1805.07641","author":"Patel Yash","year":"2018"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290978"},{"key":"e_1_3_2_1_28_1","volume-title":"NIPS Workshop on Inductive Transfer","author":"Rosenstein Michael T.","year":"2005"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1038"},{"key":"e_1_3_2_1_30_1","volume-title":"Rummery and Mahesan Niranjan","author":"Gavin","year":"1994"},{"key":"e_1_3_2_1_31_1","first-page":"15","article-title":"FLORS","volume":"2","author":"Schnabel Tobias","year":"2014","journal-title":"Fast and Simple Domain Adaptation for Part-of-Speech Tagging. TACL"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","volume-title":"Wasserstein Distance Guided Representation Learning for Domain Adaptation","author":"Shen Jian","DOI":"10.1609\/aaai.v32i1.11784"},{"key":"e_1_3_2_1_33_1","volume-title":"Barto","author":"Sutton Richard S.","year":"1998"},{"key":"e_1_3_2_1_34_1","volume-title":"Adversarial Discriminative Domain Adaptation. CoRR abs\/1702.05464","author":"Tzeng Eric","year":"2017"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"crossref","unstructured":"ChangWang and Sridhar Mahadevan. 2008. Manifold alignment using procrustes analysis. In ICML.  ChangWang and Sridhar Mahadevan. 2008. Manifold alignment using procrustes analysis. In ICML.","DOI":"10.1145\/1390156.1390297"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080786"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3124749.3124754"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","unstructured":"TianyangWang Jun Huan and Michelle Zhu. 2018. Instance-based Deep Transfer Learning. In WACV.  TianyangWang Jun Huan and Michelle Zhu. 2018. Instance-based Deep Transfer Learning. In WACV.","DOI":"10.1109\/WACV.2019.00045"},{"key":"e_1_3_2_1_39_1","unstructured":"Junfeng Wen Chun-Nam Yu and Russell Greiner. 2014. Robust Learning Under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification (ICML'14). JMLR.org II--631--II--639.   Junfeng Wen Chun-Nam Yu and Russell Greiner. 2014. Robust Learning Under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification (ICML'14). JMLR.org II--631--II--639."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"crossref","unstructured":"Adina Williams Nikita Nangia and Samuel Bowman. 2018. A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference. In NAACL.  Adina Williams Nikita Nangia and Samuel Bowman. 2018. A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference. In NAACL.","DOI":"10.18653\/v1\/N18-1101"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"key":"e_1_3_2_1_42_1","unstructured":"Jiawei Wu Lei Li and William Yang Wang. 2018. Reinforced Co-Training. In NAACL.  Jiawei Wu Lei Li and William Yang Wang. 2018. Reinforced Co-Training. In NAACL."},{"key":"e_1_3_2_1_43_1","volume-title":"Cohen","author":"Yang Zhilin","year":"2017"},{"key":"e_1_3_2_1_44_1","volume-title":"ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs. TACL","author":"Yin Wenpeng","year":"2016"},{"key":"e_1_3_2_1_45_1","volume-title":"AAAI.","author":"Yu Lantao","year":"2017"},{"key":"e_1_3_2_1_46_1","volume-title":"Gang Li","author":"Zhuang Fuzhen"}],"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\/3292500.3330841","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3292500.3330841","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\/3292500.3330841"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,25]]},"references-count":46,"alternative-id":["10.1145\/3292500.3330841","10.1145\/3292500"],"URL":"https:\/\/doi.org\/10.1145\/3292500.3330841","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"}}]}}