Exploring Shared Structures and Hierarchies for Multiple NLP Tasks

Exploring Shared Structures and Hierarchies for Multiple NLP Tasks

23 August 2018

Xipeng Qiu

Xuanjing Huang

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Papers citing "Exploring Shared Structures and Hierarchies for Multiple NLP Tasks"

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Title
TimeAutoML: Autonomous Representation Learning for Multivariate Irregularly Sampled Time Series Yang Jiao Kai Yang Shaoyu Dou Pan Luo Sijia Liu Dongjin Song AI4TS 83 8 0 04 Oct 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 217 626 0 10 Sep 2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap Lingxi Xie Xin Chen Kaifeng Bi Longhui Wei Yuhui Xu ... Lanfei Wang Anxiang Xiao Jianlong Chang Xiaopeng Zhang Qi Tian ViT 99 111 0 04 Aug 2020
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning Ximeng Sun Yikang Shen Rogerio Feris Kate Saenko 97 269 0 27 Nov 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 184 1,478 0 02 Aug 2019
GIRNet: Interleaved Multi-Task Recurrent State Sequence Models Divam Gupta Tanmoy Chakraborty Soumen Chakrabarti 58 9 0 28 Nov 2018
Meta-Learning Multi-task Communication Pengfei Liu Xuanjing Huang FedML 72 8 0 23 Oct 2018