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SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks
  with Multi-Part Loss Functions

SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions

27 December 2019
A. Heydari
Craig Thompson
A. Mehmood
ArXivPDFHTML

Papers citing "SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions"

11 / 11 papers shown
Title
Human-inspired Perspectives: A Survey on AI Long-term Memory
Human-inspired Perspectives: A Survey on AI Long-term Memory
Zihong He
Weizhe Lin
Hao Zheng
Fan Zhang
Matt Jones
Laurence Aitchison
X. Xu
Miao Liu
Per Ola Kristensson
Junxiao Shen
77
2
0
01 Nov 2024
On Training Derivative-Constrained Neural Networks
On Training Derivative-Constrained Neural Networks
KaiChieh Lo
Daniel Huang
33
3
0
02 Oct 2023
Understanding the Effect of the Long Tail on Neural Network Compression
Understanding the Effect of the Long Tail on Neural Network Compression
Harvey Dam
Vinu Joseph
Aditya Bhaskara
G. Gopalakrishna
Saurav Muralidharan
M. Garland
44
2
0
09 Jun 2023
OWAdapt: An adaptive loss function for deep learning using OWA operators
OWAdapt: An adaptive loss function for deep learning using OWA operators
Sebastián Maldonado
Carla Vairetti
Katherine Jara
Miguel Carrasco
Julio López
19
10
0
30 May 2023
Domain Engineering for Applied Monocular Reconstruction of Parametric
  Faces
Domain Engineering for Applied Monocular Reconstruction of Parametric Faces
Igor Borovikov
K. Levonyan
Jon Rein
Pawel Wrotek
Nitish Victor
3DH
CVBM
29
0
0
06 Sep 2022
Applied monocular reconstruction of parametric faces with domain
  engineering
Applied monocular reconstruction of parametric faces with domain engineering
Igor Borovikov
K. Levonyan
Jon Rein
Pawel Wrotek
Nitish Victor
CVBM
3DH
16
2
0
05 Aug 2022
Preoperative brain tumor imaging: models and software for segmentation
  and standardized reporting
Preoperative brain tumor imaging: models and software for segmentation and standardized reporting
D. Bouget
André Pedersen
A. Jakola
V. Kavouridis
K. Emblem
...
M. Witte
A. Zwinderman
P. D. W. Hamer
O. Solheim
Ingerid Reinertsen
28
21
0
29 Apr 2022
Multi-Objective Loss Balancing for Physics-Informed Deep Learning
Multi-Objective Loss Balancing for Physics-Informed Deep Learning
Rafael Bischof
M. Kraus
PINN
AI4CE
35
93
0
19 Oct 2021
DeepGD: A Deep Learning Framework for Graph Drawing Using GNN
DeepGD: A Deep Learning Framework for Graph Drawing Using GNN
Xiaoqi Wang
Kevin Yen
Yifan Hu
Han-Wei Shen
GNN
34
19
0
27 Jun 2021
Self-Adaptive Physics-Informed Neural Networks using a Soft Attention
  Mechanism
Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism
L. McClenny
U. Braga-Neto
PINN
28
444
0
07 Sep 2020
Semi Conditional Variational Auto-Encoder for Flow Reconstruction and
  Uncertainty Quantification from Limited Observations
Semi Conditional Variational Auto-Encoder for Flow Reconstruction and Uncertainty Quantification from Limited Observations
K. Gundersen
A. Oleynik
N. Blaser
G. Alendal
BDL
30
27
0
19 Jul 2020
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