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Multi-Task Learning as a Bargaining Game

Multi-Task Learning as a Bargaining Game

2 February 2022
Aviv Navon
Aviv Shamsian
Idan Achituve
Haggai Maron
Kenji Kawaguchi
Gal Chechik
Ethan Fetaya
ArXivPDFHTML

Papers citing "Multi-Task Learning as a Bargaining Game"

23 / 23 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
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
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection
Jiaqing Zhang
Mingxiang Cao
Weiying Xie
Jie Lei
Daixun Li
Wenbo Huang
Yunsong Li
Xue Yang
48
4
0
28 Jan 2025
Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts
Wenju Sun
Qingyong Li
Wen Wang
Yangli-ao Geng
Boyang Li
36
2
0
28 Jan 2025
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning
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
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems
Jun Yuan
Guohao Cai
Zhenhua Dong
16
0
0
08 Oct 2024
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks
Youngsik Hwang
Dong-Young Lim
AI4CE
28
2
0
27 Sep 2024
Can Optimization Trajectories Explain Multi-Task Transfer?
Can Optimization Trajectories Explain Multi-Task Transfer?
David Mueller
Mark Dredze
Nicholas Andrews
53
1
0
26 Aug 2024
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
Nikolaos Dimitriadis
Pascal Frossard
F. Fleuret
MoE
57
6
0
10 Jul 2024
Fairness-Aware Meta-Learning via Nash Bargaining
Fairness-Aware Meta-Learning via Nash Bargaining
Yi Zeng
Xuelin Yang
Li Chen
Cristian Canton Ferrer
Ming Jin
Michael I. Jordan
Ruoxi Jia
32
2
0
11 Jun 2024
Safe and Balanced: A Framework for Constrained Multi-Objective
  Reinforcement Learning
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning
Shangding Gu
Bilgehan Sel
Yuhao Ding
Lu Wang
Qingwei Lin
Alois Knoll
Ming Jin
35
1
0
26 May 2024
Multi-Task Learning for Lung sound & Lung disease classification
Multi-Task Learning for Lung sound & Lung disease classification
V. SumaK.
Deepali Koppad
Preethi Kumar
Neha A Kantikar
Surabhi Ramesh
16
1
0
05 Apr 2024
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
45
3
0
07 Mar 2024
Towards Principled Task Grouping for Multi-Task Learning
Towards Principled Task Grouping for Multi-Task Learning
Chenguang Wang
Xuanhao Pan
Tianshu Yu
29
0
0
23 Feb 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
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
28
0
0
05 Feb 2024
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level
  Optimization
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization
Feiyang Ye
Baijiong Lin
Xiao-Qun Cao
Yu Zhang
Ivor Tsang
45
6
0
17 Jan 2024
Alternate Training of Shared and Task-Specific Parameters for Multi-Task
  Neural Networks
Alternate Training of Shared and Task-Specific Parameters for Multi-Task Neural Networks
Stefania Bellavia
Francesco Della Santa
Alessandra Papini
28
0
0
26 Dec 2023
Transformer-based Multimodal Change Detection with Multitask Consistency
  Constraints
Transformer-based Multimodal Change Detection with Multitask Consistency Constraints
Biyuan Liu
Huaixin Chen
Kun Li
Michael Ying Yang
30
14
0
13 Oct 2023
FAMO: Fast Adaptive Multitask Optimization
FAMO: Fast Adaptive Multitask Optimization
B. Liu
Yihao Feng
Peter Stone
Qian Liu
28
29
0
06 Jun 2023
Pareto Manifold Learning: Tackling multiple tasks via ensembles of
  single-task models
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models
Nikolaos Dimitriadis
P. Frossard
Franccois Fleuret
14
25
0
18 Oct 2022
Auto-Lambda: Disentangling Dynamic Task Relationships
Auto-Lambda: Disentangling Dynamic Task Relationships
Shikun Liu
Stephen James
Andrew J. Davison
Edward Johns
26
75
0
07 Feb 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning
In Defense of the Unitary Scalarization for Deep Multi-Task Learning
Vitaly Kurin
Alessandro De Palma
Ilya Kostrikov
Shimon Whiteson
M. P. Kumar
28
72
0
11 Jan 2022
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
432
15,595
0
02 Nov 2015
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