Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models

18 October 2022

Papers citing "Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models"

9 / 9 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 31 0 0 12 Jan 2025
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 46 1 0 21 Oct 2024
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences Nikolaos Dimitriadis Pascal Frossard F. Fleuret MoE 57 5 0 10 Jul 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 27 2 0 18 May 2024
Do Current Multi-Task Optimization Methods in Deep Learning Even Help? Derrick Xin Behrooz Ghorbani Ankush Garg Orhan Firat Justin Gilmer MoMe 67 61 0 23 Sep 2022
Efficiently Identifying Task Groupings for Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 201 235 1 10 Sep 2021
Controllable Pareto Multi-Task Learning Xi Lin Zhiyuan Yang Qingfu Zhang Sam Kwong MoE 61 72 0 13 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 420 15,438 0 02 Nov 2015