Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2111.10603
Cited By
Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning
20 November 2021
Baijiong Lin
Feiyang Ye
Yu Zhang
Ivor W. Tsang
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning"
14 / 14 papers shown
Title
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
46
0
0
08 May 2025
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning
Hanwen Zhong
Jiaxin Chen
Yutong Zhang
Di Huang
Yunhong Wang
MoE
42
0
0
12 Jan 2025
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate
Zhiqi Bu
Xiaomeng Jin
Bhanukiran Vinzamuri
Anil Ramakrishna
Kai-Wei Chang
V. Cevher
Mingyi Hong
MU
85
6
0
29 Oct 2024
Using dynamic loss weighting to boost improvements in forecast stability
Daan Caljon
Jeff Vercauteren
Simon De Vos
Wouter Verbeke
Jente Van Belle
37
0
0
26 Sep 2024
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
Nikolaos Dimitriadis
Pascal Frossard
F. Fleuret
MoE
61
6
0
10 Jul 2024
CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning
Yanqi Dai
Dong Jing
Nanyi Fei
Zhiwu Lu
Nanyi Fei
Guoxing Yang
Zhiwu Lu
53
3
0
07 Mar 2024
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on Light-Weighed Backbones and Effective Measurement of Multi-Task Learning Challenges by Feature Disentanglement
Dayou Mao
Yuhao Chen
Yifan Wu
Maximilian Gilles
Alexander Wong
AAML
35
0
0
05 Feb 2024
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization
Feiyang Ye
Baijiong Lin
Xiao-Qun Cao
Yu Zhang
Ivor Tsang
47
6
0
17 Jan 2024
Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network
A. Marcus
P. Bentley
Daniel Rueckert
MedIm
16
9
0
21 Jun 2023
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks
Emilie Grégoire
M. H. Chaudhary
Sam Verboven
24
1
0
07 Jun 2023
Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond
Zhu Liu
Jinyuan Liu
Guanyao Wu
Long Ma
Xin-Yue Fan
Risheng Liu
26
34
0
11 May 2023
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models
Nikolaos Dimitriadis
P. Frossard
Franccois Fleuret
16
25
0
18 Oct 2022
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
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
281
2,888
0
15 Sep 2016
1