Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms

28 May 2023

Papers citing "Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms"

15 / 15 papers shown

Title
Balanced Rate-Distortion Optimization in Learned Image Compression Yichi Zhang Z. Duan Yuning Huang F. Zhu 39 1 0 27 Feb 2025
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond Weiyu Chen Xiaoyuan Zhang Baijiong Lin Xi Lin Han Zhao Qingfu Zhang James T. Kwok 75 2 0 19 Jan 2025
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization Mingjing Xu Peizhong Ju Jia Liu Haibo Yang 73 2 0 14 Dec 2024
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning Lisha Chen A. F. M. Saif Yanning Shen Tianyi Chen 73 2 0 02 Dec 2024
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 66 1 0 21 Oct 2024
How to Find the Exact Pareto Front for Multi-Objective MDPs? Yining Li Peizhong Ju Ness B. Shroff 139 0 0 21 Oct 2024
Jacobian Descent for Multi-Objective Optimization Pierre Quinton Valérian Rey 36 3 0 23 Jun 2024
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization Xi Lin Yilu Liu Xiao-Yan Zhang Fei Liu Zhenkun Wang Qingfu Zhang 43 5 0 30 May 2024
Smooth Tchebycheff Scalarization for Multi-Objective Optimization Xi Lin Xiao-Yan Zhang Zhiyuan Yang Fei Liu Zhenkun Wang Qingfu Zhang 35 16 0 29 Feb 2024
Fair Resource Allocation in Multi-Task Learning Hao Ban Kaiyi Ji 29 10 0 23 Feb 2024
Federated Multi-Objective Learning Haibo Yang Zhuqing Liu Jia-Wei Liu Chaosheng Dong Michinari Momma FedML 31 7 0 15 Oct 2023
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance Lisha Chen H. Fernando Yiming Ying Tianyi Chen 18 21 0 31 May 2023
Efficiently Identifying Task Groupings for Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 213 238 1 10 Sep 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,639 0 02 Nov 2015
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 101 570 0 08 Dec 2012