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Mitigating Gradient Bias in Multi-objective Learning: A Provably
  Convergent Stochastic Approach

Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach

23 October 2022
H. Fernando
Han Shen
Miao Liu
Subhajit Chaudhury
K. Murugesan
Tianyi Chen
ArXivPDFHTML

Papers citing "Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach"

5 / 5 papers shown
Title
Federated Communication-Efficient Multi-Objective Optimization
Federated Communication-Efficient Multi-Objective Optimization
Baris Askin
Pranay Sharma
Gauri Joshi
Carlee Joe-Wong
FedML
50
1
0
21 Oct 2024
radarODE-MTL: A Multi-Task Learning Framework with Eccentric Gradient Alignment for Robust Radar-Based ECG Reconstruction
radarODE-MTL: A Multi-Task Learning Framework with Eccentric Gradient Alignment for Robust Radar-Based ECG Reconstruction
Y. Zhang
Rui Yang
Yutao Yue
Eng Gee Lim
31
1
0
11 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
235
1
10 Sep 2021
A Finite Time Analysis of Two Time-Scale Actor Critic Methods
A Finite Time Analysis of Two Time-Scale Actor Critic Methods
Yue Wu
Weitong Zhang
Pan Xu
Quanquan Gu
88
145
0
04 May 2020
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
423
15,438
0
02 Nov 2015
1