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Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning

Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning

6 February 2024
Idan Achituve
I. Diamant
Arnon Netzer
Gal Chechik
Ethan Fetaya
    UQCV
ArXivPDFHTML

Papers citing "Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning"

11 / 11 papers shown
Title
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
Yi Yu
Song Xia
Siyuan Yang
Chenqi Kong
Wenhan Yang
Shijian Lu
Yap-Peng Tan
Alex Chichung Kot
44
0
0
08 May 2025
CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning
CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning
Yanqi Dai
Dong Jing
Nanyi Fei
Zhiwu Lu
Nanyi Fei
Guoxing Yang
Zhiwu Lu
43
2
0
07 Mar 2024
Improvable Gap Balancing for Multi-Task Learning
Improvable Gap Balancing for Multi-Task Learning
Yanqi Dai
Nanyi Fei
Zhiwu Lu
27
4
0
28 Jul 2023
Mitigating Gradient Bias in Multi-objective Learning: A Provably
  Convergent Stochastic Approach
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach
H. Fernando
Han Shen
Miao Liu
Subhajit Chaudhury
K. Murugesan
Tianyi Chen
13
8
0
23 Oct 2022
Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
Derrick Xin
Behrooz Ghorbani
Ankush Garg
Orhan Firat
Justin Gilmer
MoMe
67
61
0
23 Sep 2022
Transformers in Medical Imaging: A Survey
Transformers in Medical Imaging: A Survey
Fahad Shamshad
Salman Khan
Syed Waqas Zamir
Muhammad Haris Khan
Munawar Hayat
F. Khan
H. Fu
ViT
LM&MA
MedIm
106
653
0
24 Jan 2022
Deep Learning-Based Human Pose Estimation: A Survey
Deep Learning-Based Human Pose Estimation: A Survey
Ce Zheng
Wenhan Wu
C. L. P. Chen
Taojiannan Yang
Sijie Zhu
Ju Shen
N. Kehtarnavaz
M. Shah
3DH
93
560
0
24 Dec 2020
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
157
1,748
0
02 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
Manifold Gaussian Processes for Regression
Manifold Gaussian Processes for Regression
Roberto Calandra
Jan Peters
C. Rasmussen
M. Deisenroth
84
271
0
24 Feb 2014
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