Examining Common Paradigms in Multi-Task Learning

8 November 2023

Papers citing "Examining Common Paradigms in Multi-Task Learning"

7 / 7 papers shown

Title
Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning Guangyuan Shi Qimai Li Wenlong Zhang Jiaxin Chen Xiao-Ming Wu 32 32 0 22 Feb 2023
Do Current Multi-Task Optimization Methods in Deep Learning Even Help? Derrick Xin Behrooz Ghorbani Ankush Garg Orhan Firat Justin Gilmer MoMe 73 63 0 23 Sep 2022
Improving Multi-Task Generalization via Regularizing Spurious Correlation Ziniu Hu Zhe Zhao Xinyang Yi Tiansheng Yao Lichan Hong Yizhou Sun Ed H. Chi OOD LRM 93 29 0 19 May 2022
Improved optimization strategies for deep Multi-Task Networks Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 35 6 0 21 Sep 2021
Efficiently Identifying Task Groupings for Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 213 238 1 10 Sep 2021
Multi-task Learning with Attention for End-to-end Autonomous Driving Keishi Ishihara Anssi Kanervisto J. Miura Ville Hautamaki 42 60 0 21 Apr 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,639 0 02 Nov 2015