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Recon: Reducing Conflicting Gradients from the Root for Multi-Task
  Learning

Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning

22 February 2023
Guangyuan Shi
Qimai Li
Wenlong Zhang
Jiaxin Chen
Xiao-Ming Wu
ArXivPDFHTML

Papers citing "Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning"

13 / 13 papers shown
Title
Understanding Layer Significance in LLM Alignment
Understanding Layer Significance in LLM Alignment
Guangyuan Shi
Zexin Lu
Xiaoyu Dong
Wenlong Zhang
Xuanyu Zhang
Yujie Feng
Xiao-Ming Wu
69
3
0
23 Oct 2024
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models
Shuoyuan Wang
Yixuan Li
Hongxin Wei
VLM
70
2
0
03 Oct 2024
Towards Principled Task Grouping for Multi-Task Learning
Towards Principled Task Grouping for Multi-Task Learning
Chenguang Wang
Xuanhao Pan
Tianshu Yu
97
1
0
23 Feb 2024
RotoGrad: Gradient Homogenization in Multitask Learning
RotoGrad: Gradient Homogenization in Multitask Learning
Adrián Javaloy
Isabel Valera
65
88
0
03 Mar 2021
MTL-NAS: Task-Agnostic Neural Architecture Search towards
  General-Purpose Multi-Task Learning
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Yuan Gao
Haoping Bai
Zequn Jie
Jiayi Ma
Kui Jia
Wei Liu
45
94
0
31 Mar 2020
Gradient Surgery for Multi-Task Learning
Gradient Surgery for Multi-Task Learning
Tianhe Yu
Saurabh Kumar
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
84
1,190
0
19 Jan 2020
Pareto Multi-Task Learning
Pareto Multi-Task Learning
Xi Lin
Hui-Ling Zhen
Zhenhua Li
Qingfu Zhang
Sam Kwong
44
346
0
30 Dec 2019
Which Tasks Should Be Learned Together in Multi-task Learning?
Which Tasks Should Be Learned Together in Multi-task Learning?
Trevor Scott Standley
Amir Zamir
Dawn Chen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
74
509
0
18 May 2019
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer
  Ordering
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering
Elliot Meyerson
Risto Miikkulainen
MoE
56
93
0
31 Oct 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
177
3,093
0
19 May 2017
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
527
11,540
0
06 Apr 2016
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
674
15,718
0
02 Nov 2015
Indoor Semantic Segmentation using depth information
Indoor Semantic Segmentation using depth information
Camille Couprie
C. Farabet
Laurent Najman
Yann LeCun
SSeg
MDE
131
477
0
16 Jan 2013
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