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AutoMTL: A Programming Framework for Automating Efficient Multi-Task
  Learning

AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning

25 October 2021
Lijun Zhang
Xiao Liu
Hui Guan
ArXivPDFHTML

Papers citing "AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning"

14 / 14 papers shown
Title
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run
Bichen Wu
Chaojian Li
Hang Zhang
Xiaoliang Dai
Peizhao Zhang
Matthew Yu
Jialiang Wang
Yingyan Lin
Peter Vajda
ViT
93
24
0
19 Nov 2021
MTL-NAS: Task-Agnostic Neural Architecture Search towards
  General-Purpose Multi-Task Learning
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Yuan Gao
Haoping Bai
Zequn Jie
Jiayi Ma
Kui Jia
Wei Liu
56
93
0
31 Mar 2020
Gradient Surgery for Multi-Task Learning
Gradient Surgery for Multi-Task Learning
Tianhe Yu
Saurabh Kumar
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
137
1,190
0
19 Jan 2020
Pareto Multi-Task Learning
Pareto Multi-Task Learning
Xi Lin
Hui-Ling Zhen
Zhenhua Li
Qingfu Zhang
Sam Kwong
68
346
0
30 Dec 2019
Understanding and Robustifying Differentiable Architecture Search
Understanding and Robustifying Differentiable Architecture Search
Arber Zela
T. Elsken
Tonmoy Saikia
Yassine Marrakchi
Thomas Brox
Frank Hutter
OOD
AAML
123
369
0
20 Sep 2019
Deep Elastic Networks with Model Selection for Multi-Task Learning
Deep Elastic Networks with Model Selection for Multi-Task Learning
Chanho Ahn
Eunwoo Kim
Songhwai Oh
72
49
0
11 Sep 2019
Which Tasks Should Be Learned Together in Multi-task Learning?
Which Tasks Should Be Learned Together in Multi-task Learning?
Trevor Scott Standley
Amir Zamir
Dawn Chen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
92
514
0
18 May 2019
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
183
4,326
0
24 Jun 2018
A Survey on Multi-Task Learning
A Survey on Multi-Task Learning
Yu Zhang
Qiang Yang
AIMat
411
2,196
0
25 Jul 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
235
3,101
0
19 May 2017
The Cityscapes Dataset for Semantic Urban Scene Understanding
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
809
11,540
0
06 Apr 2016
Cross-domain Image Retrieval with a Dual Attribute-aware Ranking Network
Cross-domain Image Retrieval with a Dual Attribute-aware Ranking Network
Junshi Huang
Rogerio Feris
Qiang Chen
Shuicheng Yan
39
413
0
29 May 2015
Predicting Depth, Surface Normals and Semantic Labels with a Common
  Multi-Scale Convolutional Architecture
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen
Rob Fergus
VLM
MDE
170
2,674
0
18 Nov 2014
Indoor Semantic Segmentation using depth information
Indoor Semantic Segmentation using depth information
Camille Couprie
C. Farabet
Laurent Najman
Yann LeCun
SSeg
MDE
137
477
0
16 Jan 2013
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