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Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning

Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning

15 August 2024
Lukas Kirchdorfer
Cathrin Elich
Simon Kutsche
Heiner Stuckenschmidt
Lukas Schott
Jan M. Kohler
ArXivPDFHTML

Papers citing "Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning"

5 / 5 papers shown
Title
Recon: Reducing Conflicting Gradients from the Root for Multi-Task
  Learning
Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning
Guangyuan Shi
Qimai Li
Wenlong Zhang
Jiaxin Chen
Xiao-Ming Wu
24
32
0
22 Feb 2023
Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
Derrick Xin
Behrooz Ghorbani
Ankush Garg
Orhan Firat
Justin Gilmer
MoMe
61
61
0
23 Sep 2022
Language GANs Falling Short
Language GANs Falling Short
Massimo Caccia
Lucas Page-Caccia
W. Fedus
Hugo Larochelle
Joelle Pineau
Laurent Charlin
112
214
0
06 Nov 2018
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
72
5,262
0
03 Nov 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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