Multitask Learning with Single Gradient Step Update for Task Balancing

20 May 2020

Papers citing "Multitask Learning with Single Gradient Step Update for Task Balancing"

10 / 10 papers shown

Title
Pareto Multi-Task Learning Xi Lin Hui-Ling Zhen Zhenhua Li Qingfu Zhang Sam Kwong 40 346 0 30 Dec 2019
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 49 4,584 0 26 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 69 8,807 0 25 Aug 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 160 3,093 0 19 May 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 735 11,793 0 09 Mar 2017
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 58 2,000 0 14 Jun 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 422 11,540 0 06 Apr 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 603 15,718 0 02 Nov 2015
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 97 2,674 0 18 Nov 2014
Indoor Semantic Segmentation using depth information Camille Couprie C. Farabet Laurent Najman Yann LeCun SSeg MDE 129 477 0 16 Jan 2013