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

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

28 May 2023
Peiyao Xiao
Hao Ban
Kaiyi Ji
ArXivPDFHTML

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

6 / 6 papers shown
Title
Balanced Rate-Distortion Optimization in Learned Image Compression
Balanced Rate-Distortion Optimization in Learned Image Compression
Yichi Zhang
Z. Duan
Yuning Huang
F. Zhu
34
1
0
27 Feb 2025
How to Find the Exact Pareto Front for Multi-Objective MDPs?
How to Find the Exact Pareto Front for Multi-Objective MDPs?
Yining Li
Peizhong Ju
Ness B. Shroff
128
0
0
21 Oct 2024
Federated Communication-Efficient Multi-Objective Optimization
Federated Communication-Efficient Multi-Objective Optimization
Baris Askin
Pranay Sharma
Gauri Joshi
Carlee Joe-Wong
FedML
64
1
0
21 Oct 2024
Efficiently Identifying Task Groupings for Multi-Task Learning
Efficiently Identifying Task Groupings for Multi-Task Learning
Christopher Fifty
Ehsan Amid
Zhe Zhao
Tianhe Yu
Rohan Anil
Chelsea Finn
201
238
1
10 Sep 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,637
0
02 Nov 2015
Stochastic Gradient Descent for Non-smooth Optimization: Convergence
  Results and Optimal Averaging Schemes
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
99
570
0
08 Dec 2012
1