1![Natural Language to Structured Query Generation via Meta-Learning Po-Sen Huang 1 Chenglong Wang 2 Rishabh Singh 3 * Wen-tau Yih 4 Xiaodong He 5 * 1. Introduction Conventional supervised training is a pervasive paradigm Natural Language to Structured Query Generation via Meta-Learning Po-Sen Huang 1 Chenglong Wang 2 Rishabh Singh 3 * Wen-tau Yih 4 Xiaodong He 5 * 1. Introduction Conventional supervised training is a pervasive paradigm](https://www.pdfsearch.io/img/b1eede308d7ff7b69c840e081a6a8347.jpg) | Add to Reading ListSource URL: uclmr.github.ioLanguage: English - Date: 2018-08-06 06:17:49
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2![On First-Order Meta-Learning Algorithms arXiv:1803.02999v3 [cs.LG] 22 Oct 2018 Alex Nichol and Joshua Achiam and John Schulman OpenAI On First-Order Meta-Learning Algorithms arXiv:1803.02999v3 [cs.LG] 22 Oct 2018 Alex Nichol and Joshua Achiam and John Schulman OpenAI](https://www.pdfsearch.io/img/13184051945d32d4028874a9b7ecd1ae.jpg) | Add to Reading ListSource URL: arxiv.orgLanguage: English - Date: 2018-10-22 21:09:49
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3![Natural Language to Structured Query Generation via Meta-Learning Po-Sen Huang? , Chenglong Wang† , Rishabh Singh? , Wen-tau Yih‡ , Xiaodong He∗ ? Microsoft Research, † University of Washington, ‡ Allen Instit Natural Language to Structured Query Generation via Meta-Learning Po-Sen Huang? , Chenglong Wang† , Rishabh Singh? , Wen-tau Yih‡ , Xiaodong He∗ ? Microsoft Research, † University of Washington, ‡ Allen Instit](https://www.pdfsearch.io/img/0f43d3df14b0373bfcbb22c3ba84083a.jpg) | Add to Reading ListSource URL: rishabhmit.bitbucket.ioLanguage: English - Date: 2018-06-25 09:59:57
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4![Meta-Learning as a Collaborative Filtering Problem Mustafa Misir, Mich`ele Sebag MetaSel@ECAI 2014, August 2014 Meta-Learning as a Collaborative Filtering Problem Mustafa Misir, Mich`ele Sebag MetaSel@ECAI 2014, August 2014](https://www.pdfsearch.io/img/44fc2aa627a1179db493b4c81babea8f.jpg) | Add to Reading ListSource URL: www.lri.frLanguage: English - Date: 2014-09-01 10:17:50
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5![Learning to learn: meta-learning for medical image segmentation Imagine you have experience with two medical imaging applications (for example, segmentation in brain MR images, and segmentation of cells in histopatholog Learning to learn: meta-learning for medical image segmentation Imagine you have experience with two medical imaging applications (for example, segmentation in brain MR images, and segmentation of cells in histopatholog](https://www.pdfsearch.io/img/61bbd09359251fa4cf3ec0d61c1ae324.jpg) | Add to Reading ListSource URL: www.veronikach.comLanguage: English - Date: 2018-02-11 14:45:39
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6![A Low Time-Consuming Rosters Evaluation in Personnel Scheduling Problems Based on Pattern Learning Roman Vaclavik, Premysl Sucha, Zdenek Hanzalek∗ Abstract Numerous (meta-)heuristics for solving personnel scheduling pr A Low Time-Consuming Rosters Evaluation in Personnel Scheduling Problems Based on Pattern Learning Roman Vaclavik, Premysl Sucha, Zdenek Hanzalek∗ Abstract Numerous (meta-)heuristics for solving personnel scheduling pr](https://www.pdfsearch.io/img/d293afbe870aba5fa55165d0296e28cd.jpg) | Add to Reading ListSource URL: rtime.felk.cvut.czLanguage: English - Date: 2015-11-27 07:26:42
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7![Meta-Interpretive Learning: achievements and challenges Stephen Muggleton Department of Computing Imperial College, London Meta-Interpretive Learning: achievements and challenges Stephen Muggleton Department of Computing Imperial College, London](https://www.pdfsearch.io/img/e161d8296da90614e72f5d4ec03415c1.jpg) | Add to Reading ListSource URL: 2017.ruleml-rr.org- Date: 2017-08-03 11:27:52
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8![Meta–Gradient Boosted Decision Tree Model for Weight and Target Learning Yury Ustinovskiy Valentina Fedorova Gleb Gusev Pavel Serdyukov Meta–Gradient Boosted Decision Tree Model for Weight and Target Learning Yury Ustinovskiy Valentina Fedorova Gleb Gusev Pavel Serdyukov](https://www.pdfsearch.io/img/59ea100ad795afc2dc4d3c2d66a672d3.jpg) | Add to Reading ListSource URL: jmlr.org- Date: 2016-10-08 19:36:41
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9![Child Development, January/February 2011, Volume 82, Number 1, Pages 405–432 The Impact of Enhancing Students’ Social and Emotional Learning: A Meta-Analysis of School-Based Universal Interventions Joseph A. Durlak Child Development, January/February 2011, Volume 82, Number 1, Pages 405–432 The Impact of Enhancing Students’ Social and Emotional Learning: A Meta-Analysis of School-Based Universal Interventions Joseph A. Durlak](https://www.pdfsearch.io/img/080e80efe4c6c2b4ac1597ee2d071488.jpg) | Add to Reading ListSource URL: www.wondergrovelearn.com- Date: 2016-11-02 22:11:48
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