Learning the Pareto Front with Hypernetworks

8 October 2020

Papers citing "Learning the Pareto Front with Hypernetworks"

27 / 27 papers shown

Title
Joint Explainability-Performance Optimization With Surrogate Models for AI-Driven Edge Services Foivos Charalampakos Thomas Tsouparopoulos Iordanis Koutsopoulos 49 1 0 10 Mar 2025
A Survey of Controllable Learning: Methods and Applications in Information Retrieval Chenglei Shen Xiao Zhang Teng Shi Changshuo Zhang Guofu Xie Jun Xu 65 5 0 03 Jan 2025
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks Minh-Duc Nguyen Phuong Mai Dinh Quang-Huy Nguyen L. P. Hoang Dung D. Le 51 1 0 23 Dec 2024
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning Zhilong Li Xiaohu Wu Xiaoli Tang Tiantian He Yew-Soon Ong Mengmeng Chen Qiqi Liu Qicheng Lao Han Yu FedML 37 1 0 09 Oct 2024
Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems Timo Wilm Philipp Normann Felix Stepprath 26 2 0 23 Jul 2024
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences Nikolaos Dimitriadis Pascal Frossard F. Fleuret MoE 64 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
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation Lu Li T. Zhang Zhiqi Bu Suyuchen Wang Huan He Jie Fu Yonghui Wu Jiang Bian Yong Chen Yoshua Bengio FedML MoMe 97 3 0 11 Jun 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 36 2 0 18 May 2024
Evolutionary Preference Sampling for Pareto Set Learning Rongguang Ye Longcan Chen Jinyuan Zhang H. Ishibuchi 33 3 0 12 Apr 2024
Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems Chikai Shang Rongguang Ye Jiaqi Jiang Fangqing Gu 32 1 0 01 Apr 2024
Multi-objective Differentiable Neural Architecture Search R. Sukthanker Arber Zela B. Staffler Samuel Dooley Josif Grabocka Frank Hutter 40 1 0 28 Feb 2024
A Hyper-Transformer model for Controllable Pareto Front Learning with Split Feasibility Constraints Tran Anh Tuan Nguyen Viet Dung Tran Ngoc Thang 33 3 0 04 Feb 2024
Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow Yinuo Ren Tesi Xiao Tanmay Gangwani A. Rangi Holakou Rahmanian Lexing Ying Subhajit Sanyal 30 2 0 22 Nov 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 29 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 18 24 0 02 Dec 2022
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization Jingang Qu T. Faney Zehao Wang Patrick Gallinari Soleiman Yousef J. D. Hemptinne OOD 21 7 0 15 Nov 2022
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models Nikolaos Dimitriadis P. Frossard Franccois Fleuret 18 25 0 18 Oct 2022
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 33 54 0 16 Oct 2022
Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP Ishaan Mehta Sharareh Taghipour Sajad Saeedi 27 4 0 02 Mar 2022
Pareto Domain Adaptation Fangrui Lv Jian Liang Kaixiong Gong Shuang Li Chi Harold Liu Han Li Di Liu Guoren Wang 13 31 0 08 Dec 2021
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 24 58 0 24 Mar 2021
Personalized Federated Learning using Hypernetworks Aviv Shamsian Aviv Navon Ethan Fetaya Gal Chechik FedML 35 324 0 08 Mar 2021
Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach Suyun Liu Luis Nunes Vicente FaML 15 68 0 03 Aug 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 230 2,056 0 07 Jun 2016