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

27 December 2019

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

8 / 8 papers shown

Title
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
Understanding the Effect of the Long Tail on Neural Network Compression Harvey Dam Vinu Joseph Aditya Bhaskara G. Gopalakrishna Saurav Muralidharan M. Garland 21 2 0 09 Jun 2023
Applied monocular reconstruction of parametric faces with domain engineering Igor Borovikov K. Levonyan Jon Rein Pawel Wrotek Nitish Victor CVBM 3DH 11 2 0 05 Aug 2022
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 Rafael Bischof M. Kraus PINN AI4CE 33 92 0 19 Oct 2021
DeepGD: A Deep Learning Framework for Graph Drawing Using GNN Xiaoqi Wang Kevin Yen Yifan Hu Han-Wei Shen GNN 26 19 0 27 Jun 2021
Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism L. McClenny U. Braga-Neto PINN 26 442 0 07 Sep 2020
Semi Conditional Variational Auto-Encoder for Flow Reconstruction and Uncertainty Quantification from Limited Observations K. Gundersen A. Oleynik N. Blaser G. Alendal BDL 22 27 0 19 Jul 2020