<--- Back to Details
First PageDocument Content
Machine learning / Learning / Artificial intelligence / Meta learning / Support vector machine / Supervised learning / Training /  test /  and validation sets
Date: 2018-08-06 06:17:49
Machine learning
Learning
Artificial intelligence
Meta learning
Support vector machine
Supervised learning
Training
test
and validation sets

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

Add to Reading List

Source URL: uclmr.github.io

Download Document from Source Website

File Size: 299,31 KB

Share Document on Facebook

Similar Documents

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

DocID: 1xUL3 - View Document

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

DocID: 1xUe9 - View Document

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

DocID: 1xTvC - View Document

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

DocID: 1uUlV - View Document

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

DocID: 1umye - View Document