Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back

11 March 2018

Papers citing "Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back"

7 / 7 papers shown

Title
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning Yuyan Wang Xuezhi Wang Alex Beutel Flavien Prost Jilin Chen Ed H. Chi FaML 21 46 0 04 Jun 2021
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer M. Elmahdy Laurens Beljaards Sahar Yousefi Hessam Sokooti F. Verbeek U. A. van der Heide Marius Staring 11 20 0 05 May 2021
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout Zhao Chen Jiquan Ngiam Yanping Huang Thang Luong Henrik Kretzschmar Yuning Chai Dragomir Anguelov 27 206 0 14 Oct 2020
Frosting Weights for Better Continual Training Xiaofeng Zhu Feng Liu Goce Trajcevski Dingding Wang FedML AI4CE CLL 28 5 0 07 Jan 2020
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016
Stack-propagation: Improved Representation Learning for Syntax Yuan Zhang David J. Weiss 29 87 0 21 Mar 2016
Learning Task Grouping and Overlap in Multi-task Learning Abhishek Kumar Hal Daumé 179 524 0 27 Jun 2012