Regularizing Deep Multi-Task Networks using Orthogonal Gradients

14 December 2019

Papers citing "Regularizing Deep Multi-Task Networks using Orthogonal Gradients"

17 / 17 papers shown

Title
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on Light-Weighed Backbones and Effective Measurement of Multi-Task Learning Challenges by Feature Disentanglement Dayou Mao Yuhao Chen Yifan Wu Maximilian Gilles Alexander Wong AAML 41 0 0 05 Feb 2024
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 58 2 0 24 Aug 2023
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning Xin Dong Ruize Wu Chao Xiong Hai Li Lei Cheng Yong He Shiyou Qian Jian Cao Linjian Mo 6 4 0 31 Jan 2023
UFO: Unified Feature Optimization Teng Xi Yifan Sun Deli Yu Bi Li Nan Peng ... Haocheng Feng Junyu Han Jingtuo Liu Errui Ding Jingdong Wang 32 10 0 21 Jul 2022
Universal Representations: A Unified Look at Multiple Task and Domain Learning Wei-Hong Li Xialei Liu Hakan Bilen SSL OOD 28 27 0 06 Apr 2022
A Tree-Structured Multi-Task Model Recommender Lijun Zhang Xiao Liu Hui Guan LRM VLM 29 10 0 10 Mar 2022
Multi-Agent Policy Transfer via Task Relationship Modeling Rongjun Qin F. Chen Tonghan Wang Lei Yuan Xiaoran Wu Zongzhang Zhang Chongjie Zhang Yang Yu 38 19 0 09 Mar 2022
On Steering Multi-Annotations per Sample for Multi-Task Learning Yuan Li Yiwen Guo Qizhang Li Hongzhi Zhang W. Zuo 25 0 0 06 Mar 2022
Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction Yikai Wang Gang Hua Wenbing Huang Fengxiang He Dacheng Tao 54 29 0 04 Dec 2021
Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral Lucio Dery Yann N. Dauphin David Grangier MoMe 13 29 0 25 Aug 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 32 181 0 11 Feb 2021
Detecting 32 Pedestrian Attributes for Autonomous Vehicles Taylor Mordan Matthieu Cord P. Pérez Alexandre Alahi 24 22 0 04 Dec 2020
Measuring and Harnessing Transference in Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 28 15 0 29 Oct 2020
Multi-Task Learning for Dense Prediction Tasks: A Survey Simon Vandenhende Stamatios Georgoulis Wouter Van Gansbeke Marc Proesmans Dengxin Dai Luc Van Gool CVBM 24 72 0 28 Apr 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 27 1,165 0 19 Jan 2020
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas J. Guibas Jitendra Malik Silvio Savarese 18 502 0 18 May 2019
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,639 0 02 Nov 2015