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In Defense of the Unitary Scalarization for Deep Multi-Task Learning

In Defense of the Unitary Scalarization for Deep Multi-Task Learning

11 January 2022
Vitaly Kurin
Alessandro De Palma
Ilya Kostrikov
Shimon Whiteson
M. P. Kumar
ArXivPDFHTML

Papers citing "In Defense of the Unitary Scalarization for Deep Multi-Task Learning"

5 / 55 papers shown
Title
Graph Representation Learning for Multi-Task Settings: a Meta-Learning
  Approach
Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach
Davide Buffelli
Fabio Vandin
AI4CE
12
6
0
10 Jan 2022
Multi-Task Learning in Natural Language Processing: An Overview
Multi-Task Learning in Natural Language Processing: An Overview
Shijie Chen
Yu Zhang
Qiang Yang
AIMat
39
98
0
19 Sep 2021
Curriculum Learning for Reinforcement Learning Domains: A Framework and
  Survey
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar
Bei Peng
Matteo Leonetti
Jivko Sinapov
Matthew E. Taylor
Peter Stone
ODL
132
451
0
10 Mar 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,878
0
15 Sep 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
420
15,438
0
02 Nov 2015
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