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

13 October 2023

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 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 Tianjian Li Haoran Xu Weiting Tan Kenton Murray Daniel Khashabi 149 1 0 06 Oct 2024
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 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 Andong Lu Tianrui Zha Tianrui Zha Jin Tang Xiaofeng Wang Bin Luo 146 2 0 25 Dec 2023