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Scalarization for Multi-Task and Multi-Domain Learning at Scale

Scalarization for Multi-Task and Multi-Domain Learning at Scale

Amelie Royer
Tijmen Blankevoort
B. Bejnordi
ArXiv (abs)PDFHTML

Papers citing "Scalarization for Multi-Task and Multi-Domain Learning at Scale"

6 / 6 papers shown
Title
Commute Your Domains: Trajectory Optimality Criterion for Multi-Domain Learning
Alexey Rukhovich
Alexander Podolskiy
Irina Piontkovskaya
94
0
0
28 Jan 2025
Federated Communication-Efficient Multi-Objective Optimization
Federated Communication-Efficient Multi-Objective Optimization
Baris Askin
Pranay Sharma
Gauri Joshi
Carlee Joe-Wong
FedML
282
1
0
21 Oct 2024
Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets
Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets
Tianjian Li
Haoran Xu
Weiting Tan
Kenton Murray
Daniel Khashabi
149
1
0
06 Oct 2024
Can Optimization Trajectories Explain Multi-Task Transfer?
Can Optimization Trajectories Explain Multi-Task Transfer?
David Mueller
Mark Dredze
Nicholas Andrews
138
1
0
26 Aug 2024
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
Xi Lin
Yilu Liu
Xiao-Yan Zhang
Fei Liu
Zhenkun Wang
Qingfu Zhang
96
5
0
30 May 2024
Nighttime Person Re-Identification via Collaborative Enhancement Network with Multi-domain Learning
Nighttime Person Re-Identification via Collaborative Enhancement Network with Multi-domain Learning
Andong Lu
Tianrui Zha
Tianrui Zha
Jin Tang
Xiaofeng Wang
Bin Luo
146
2
0
25 Dec 2023

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