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Efficient Continuous Pareto Exploration in Multi-Task Learning

Efficient Continuous Pareto Exploration in Multi-Task Learning

29 June 2020
Pingchuan Ma
Tao Du
Wojciech Matusik
ArXivPDFHTML

Papers citing "Efficient Continuous Pareto Exploration in Multi-Task Learning"

18 / 18 papers shown
Title
MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection
MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection
Kaiying Yan
Moyang Liu
Yukun Liu
Ruibo Fu
Zhengqi Wen
J. Tao
Xuefei Liu
Guanjun Li
41
0
0
12 Jan 2025
A Survey of Controllable Learning: Methods and Applications in Information Retrieval
A Survey of Controllable Learning: Methods and Applications in Information Retrieval
Chenglei Shen
Xiao Zhang
Teng Shi
Changshuo Zhang
Guofu Xie
Jun Xu
71
5
0
03 Jan 2025
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
67
6
0
10 Jul 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment
Enhancing Domain Adaptation through Prompt Gradient Alignment
Hoang Phan
Lam C. Tran
Quyen Tran
Trung Le
52
0
0
13 Jun 2024
Iteratively Learn Diverse Strategies with State Distance Information
Iteratively Learn Diverse Strategies with State Distance Information
Wei Fu
Weihua Du
Jingwei Li
Sunli Chen
Jingzhao Zhang
Yi Wu
51
3
0
23 Oct 2023
A Scale-Independent Multi-Objective Reinforcement Learning with
  Convergence Analysis
A Scale-Independent Multi-Objective Reinforcement Learning with Convergence Analysis
Mohsen Amidzadeh
22
0
0
08 Feb 2023
A Systematic Performance Analysis of Deep Perceptual Loss Networks:
  Breaking Transfer Learning Conventions
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions
G. Pihlgren
Konstantina Nikolaidou
Prakash Chandra Chhipa
Nosheen Abid
Rajkumar Saini
Fredrik Sandin
Marcus Liwicki
29
10
0
08 Feb 2023
Bi-level Multi-objective Evolutionary Learning: A Case Study on
  Multi-task Graph Neural Topology Search
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search
Chao Wang
Licheng Jiao
Jiaxuan Zhao
Lingling Li
Xu Liu
F. Liu
Shuyuan Yang
32
5
0
06 Feb 2023
Improving Pareto Front Learning via Multi-Sample Hypernetworks
Improving Pareto Front Learning via Multi-Sample Hypernetworks
L. P. Hoang
Dung D. Le
Tuan A. Tran
Thang Tran Ngoc
24
24
0
02 Dec 2022
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task
  Learning
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning
Enneng Yang
Junwei Pan
Ximei Wang
Haibin Yu
Li Shen
Xihua Chen
Lei Xiao
Jie Jiang
G. Guo
40
43
0
28 Nov 2022
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
31
25
0
18 Oct 2022
Pareto Set Learning for Expensive Multi-Objective Optimization
Pareto Set Learning for Expensive Multi-Objective Optimization
Xi Lin
Zhiyuan Yang
Xiao-Yan Zhang
Qingfu Zhang
39
54
0
16 Oct 2022
Efficient first-order predictor-corrector multiple objective
  optimization for fair misinformation detection
Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection
Eric Enouen
Katja Mathesius
Sean Wang
Arielle K. Carr
Sihong Xie
20
2
0
15 Sep 2022
Continuously Discovering Novel Strategies via Reward-Switching Policy
  Optimization
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization
Zihan Zhou
Wei Fu
Bingliang Zhang
Yi Wu
25
28
0
04 Apr 2022
Learning Proximal Operators to Discover Multiple Optima
Learning Proximal Operators to Discover Multiple Optima
Lingxiao Li
Noam Aigerman
Vladimir G. Kim
Jiajin Li
Kristjan Greenewald
Mikhail Yurochkin
Justin Solomon
47
1
0
28 Jan 2022
Scalable Unidirectional Pareto Optimality for Multi-Task Learning with
  Constraints
Scalable Unidirectional Pareto Optimality for Multi-Task Learning with Constraints
Soumyajit Gupta
Gurpreet Singh
Raghu Bollapragada
Matthew Lease
30
4
0
28 Oct 2021
Scalable Pareto Front Approximation for Deep Multi-Objective Learning
Scalable Pareto Front Approximation for Deep Multi-Objective Learning
Michael Ruchte
Josif Grabocka
32
58
0
24 Mar 2021
Controllable Pareto Multi-Task Learning
Controllable Pareto Multi-Task Learning
Xi Lin
Zhiyuan Yang
Qingfu Zhang
Sam Kwong
MoE
77
73
0
13 Oct 2020
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