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Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems

Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems

1 April 2024
Chikai Shang
Rongguang Ye
Jiaqi Jiang
Fangqing Gu
ArXivPDFHTML

Papers citing "Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems"

12 / 12 papers shown
Title
Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective
  Optimization
Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization
Rongguang Ye
Longcan Chen
Wei-Bin Kou
Jinyuan Zhang
H. Ishibuchi
64
0
0
11 Aug 2024
Improving Pareto Front Learning via Multi-Sample Hypernetworks
Improving Pareto Front Learning via Multi-Sample Hypernetworks
L. P. Hoang
Dung D. Le
Tuan A. Tran
Thang Tran Ngoc
66
24
0
02 Dec 2022
Pareto Set Learning for Expensive Multi-Objective Optimization
Pareto Set Learning for Expensive Multi-Objective Optimization
Xi Lin
Zhiyuan Yang
Xiao-Yan Zhang
Qingfu Zhang
67
58
0
16 Oct 2022
Pareto Set Learning for Neural Multi-objective Combinatorial
  Optimization
Pareto Set Learning for Neural Multi-objective Combinatorial Optimization
Xi Lin
Zhiyuan Yang
Qingfu Zhang
59
68
0
29 Mar 2022
Scalable Pareto Front Approximation for Deep Multi-Objective Learning
Scalable Pareto Front Approximation for Deep Multi-Objective Learning
Michael Ruchte
Josif Grabocka
57
59
0
24 Mar 2021
Learning the Pareto Front with Hypernetworks
Learning the Pareto Front with Hypernetworks
Aviv Navon
Aviv Shamsian
Gal Chechik
Ethan Fetaya
99
142
0
08 Oct 2020
An Easy-to-use Real-world Multi-objective Optimization Problem Suite
An Easy-to-use Real-world Multi-objective Optimization Problem Suite
Ryoji Tanabe
H. Ishibuchi
43
248
0
27 Sep 2020
End-to-End Multi-Task Learning with Attention
End-to-End Multi-Task Learning with Attention
Shikun Liu
Edward Johns
Andrew J. Davison
CVBM
46
1,036
0
28 Mar 2018
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep
  Multitask Networks
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Zhao Chen
Vijay Badrinarayanan
Chen-Yu Lee
Andrew Rabinovich
ODL
117
1,273
0
07 Nov 2017
UberNet: Training a `Universal' Convolutional Neural Network for Low-,
  Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
Iasonas Kokkinos
SSeg
SSL
107
672
0
07 Sep 2016
Cross-stitch Networks for Multi-task Learning
Cross-stitch Networks for Multi-task Learning
Ishan Misra
Abhinav Shrivastava
Abhinav Gupta
M. Hebert
71
1,339
0
12 Apr 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.0K
149,474
0
22 Dec 2014
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