Direction-oriented Multi-objective Learning: Simple and Provable
Stochastic Algorithms

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Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms

28 May 2023

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Papers citing "Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms"

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Title
How to Find the Exact Pareto Front for Multi-Objective MDPs? Yining Li Peizhong Ju Ness B. Shroff 449 1 0 21 Oct 2024
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 268 1 0 21 Oct 2024
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance Lisha Chen H. Fernando Yiming Ying Tianyi Chen 65 25 0 31 May 2023
Efficiently Identifying Task Groupings for Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 295 255 1 10 Sep 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Haoxiang Wang Han Zhao Yue Liu 102 90 0 16 Jun 2021
RotoGrad: Gradient Homogenization in Multitask Learning Adrián Javaloy Isabel Valera 93 89 0 03 Mar 2021
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 193 1,230 0 19 Jan 2020
Pareto Multi-Task Learning Xi Lin Hui-Ling Zhen Zhenhua Li Qingfu Zhang Sam Kwong 90 352 0 30 Dec 2019
The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning Suyun Liu Luis Nunes Vicente 150 75 0 10 Jul 2019
The ApolloScape Open Dataset for Autonomous Driving and its Application Xinyu Huang Peng Wang Xinjing Cheng Dingfu Zhou Qichuan Geng Ruigang Yang 3DPC 99 569 0 16 Mar 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,432 0 04 Jan 2018
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning Clemens Rosenbaum Tim Klinger Matthew D Riemer 90 249 0 03 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 289 8,928 0 25 Aug 2017
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 607 2,247 0 25 Jul 2017
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 161 2,833 0 15 Jun 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 272 3,136 0 19 May 2017
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,664 0 06 Apr 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 1.1K 15,846 0 02 Nov 2015
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 164 576 0 08 Dec 2012