Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2006.16434
Cited By
Efficient Continuous Pareto Exploration in Multi-Task Learning
29 June 2020
Pingchuan Ma
Tao Du
Wojciech Matusik
Re-assign community
ArXiv
PDF
HTML
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
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
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
Nikolaos Dimitriadis
Pascal Frossard
F. Fleuret
MoE
67
6
0
10 Jul 2024
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
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
Mohsen Amidzadeh
22
0
0
08 Feb 2023
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
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
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
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
Nikolaos Dimitriadis
P. Frossard
Franccois Fleuret
31
25
0
18 Oct 2022
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
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
Zihan Zhou
Wei Fu
Bingliang Zhang
Yi Wu
25
28
0
04 Apr 2022
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
Soumyajit Gupta
Gurpreet Singh
Raghu Bollapragada
Matthew Lease
30
4
0
28 Oct 2021
Scalable Pareto Front Approximation for Deep Multi-Objective Learning
Michael Ruchte
Josif Grabocka
32
58
0
24 Mar 2021
Controllable Pareto Multi-Task Learning
Xi Lin
Zhiyuan Yang
Qingfu Zhang
Sam Kwong
MoE
77
73
0
13 Oct 2020
1