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Scalable Unidirectional Pareto Optimality for Multi-Task Learning with
  Constraints
v1v2 (latest)

Scalable Unidirectional Pareto Optimality for Multi-Task Learning with Constraints

28 October 2021
Soumyajit Gupta
Gurpreet Singh
Raghu Bollapragada
Matthew Lease
ArXiv (abs)PDFHTML

Papers citing "Scalable Unidirectional Pareto Optimality for Multi-Task Learning with Constraints"

15 / 15 papers shown
Title
A Hybrid 2-stage Neural Optimization for Pareto Front Extraction
A Hybrid 2-stage Neural Optimization for Pareto Front Extraction
Gurpreet Singh
Soumyajit Gupta
Matthew Lease
Clint Dawson
46
3
0
27 Jan 2021
PiRank: Scalable Learning To Rank via Differentiable Sorting
PiRank: Scalable Learning To Rank via Differentiable Sorting
Robin M. E. Swezey
Aditya Grover
Bruno Charron
Stefano Ermon
76
29
0
12 Dec 2020
Minimax Pareto Fairness: A Multi Objective Perspective
Minimax Pareto Fairness: A Multi Objective Perspective
Natalia Martínez
Martín Bertrán
Guillermo Sapiro
FaML
74
193
0
03 Nov 2020
Controllable Pareto Multi-Task Learning
Controllable Pareto Multi-Task Learning
Xi Lin
Zhiyuan Yang
Qingfu Zhang
Sam Kwong
MoE
107
74
0
13 Oct 2020
Learning the Pareto Front with Hypernetworks
Learning the Pareto Front with Hypernetworks
Aviv Navon
Aviv Shamsian
Gal Chechik
Ethan Fetaya
106
145
0
08 Oct 2020
Efficient Continuous Pareto Exploration in Multi-Task Learning
Efficient Continuous Pareto Exploration in Multi-Task Learning
Pingchuan Ma
Tao Du
Wojciech Matusik
55
89
0
29 Jun 2020
Pareto Multi-Task Learning
Pareto Multi-Task Learning
Xi Lin
Hui-Ling Zhen
Zhenhua Li
Qingfu Zhang
Sam Kwong
85
351
0
30 Dec 2019
Multi-Gradient Descent for Multi-Objective Recommender Systems
Multi-Gradient Descent for Multi-Objective Recommender Systems
Nikola Milojković
Diego Antognini
Giancarlo Bergamin
Boi Faltings
C. Musat
56
47
0
09 Dec 2019
What is Fair? Exploring Pareto-Efficiency for Fairness Constrained
  Classifiers
What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers
Ananth Balashankar
Alyssa Lees
Chris Welty
L. Subramanian
67
21
0
30 Oct 2019
Multi-Task Learning as Multi-Objective Optimization
Multi-Task Learning as Multi-Objective Optimization
Ozan Sener
V. Koltun
167
1,286
0
10 Oct 2018
Dynamic Routing Between Capsules
Dynamic Routing Between Capsules
S. Sabour
Nicholas Frosst
Geoffrey E. Hinton
177
4,602
0
26 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
283
8,920
0
25 Aug 2017
HyperNetworks
HyperNetworks
David R Ha
Andrew M. Dai
Quoc V. Le
164
1,632
0
27 Sep 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,260
0
22 Dec 2014
PU Learning for Matrix Completion
PU Learning for Matrix Completion
Cho-Jui Hsieh
Nagarajan Natarajan
Inderjit S. Dhillon
73
154
0
22 Nov 2014
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