Multi-Task Learning as Multi-Objective Optimization

10 October 2018

Papers citing "Multi-Task Learning as Multi-Objective Optimization"

42 / 242 papers shown

Title
Adversarial Training and Provable Robustness: A Tale of Two Objectives Jiameng Fan Wenchao Li AAML 23 20 0 13 Aug 2020
Learning Boost by Exploiting the Auxiliary Task in Multi-task Domain Jonghwa Yim Sang Hwan Kim 21 2 0 05 Aug 2020
Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach Suyun Liu Luis Nunes Vicente FaML 23 68 0 03 Aug 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference Menelaos Kanakis David Brüggemann Suman Saha Stamatios Georgoulis Anton Obukhov Luc Van Gool CLL 30 72 0 24 Jul 2020
Deep Learning Based Brain Tumor Segmentation: A Survey Zhihua Liu Lei Tong Zheheng Jiang Long Chen Feixiang Zhou Qianni Zhang Xiangrong Zhang Ling Li Huiyu Zhou 3DV 24 228 0 18 Jul 2020
Auxiliary Learning by Implicit Differentiation Aviv Navon Idan Achituve Haggai Maron Gal Chechik Ethan Fetaya 33 59 0 22 Jun 2020
Federated Learning Meets Multi-objective Optimization Zeou Hu Kiarash Shaloudegi Guojun Zhang Yaoliang Yu FedML 23 89 0 20 Jun 2020
Maximum Roaming Multi-Task Learning Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 31 31 0 17 Jun 2020
SAMBA: Safe Model-Based & Active Reinforcement Learning Alexander I. Cowen-Rivers Daniel Palenicek Vincent Moens Mohammed Abdullah Aivar Sootla Jun Wang Haitham Bou-Ammar 23 44 0 12 Jun 2020
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives Zaiwei Zhang Bo Sun Haitao Yang Qi-Xing Huang 3DPC 20 195 0 10 Jun 2020
Learning to Branch for Multi-Task Learning Pengsheng Guo Chen-Yu Lee Daniel Ulbricht 18 174 0 02 Jun 2020
Multitask Learning with Single Gradient Step Update for Task Balancing Sungjae Lee Youngdoo Son 32 22 0 20 May 2020
Blind Backdoors in Deep Learning Models Eugene Bagdasaryan Vitaly Shmatikov AAML FedML SILM 46 298 0 08 May 2020
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data Zheng Tang M. Naphade Stan Birchfield Jonathan Tremblay William Hodge Ratnesh Kumar Shuo Wang Xiaodong Yang 30 140 0 02 May 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 29 72 0 28 Apr 2020
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking Yifu Zhang Chunyu Wang Xinggang Wang Wenjun Zeng Wenyu Liu VOT 36 1,307 0 04 Apr 2020
Multi-Task Reinforcement Learning with Soft Modularization Ruihan Yang Huazhe Xu Yi Wu Xiaolong Wang 27 176 0 30 Mar 2020
Multi-Objective Matrix Normalization for Fine-grained Visual Recognition Shaobo Min Hantao Yao Hongtao Xie Zhengjun Zha Yongdong Zhang 28 65 0 30 Mar 2020
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps Pengxiang Wu Siheng Chen Dimitris N. Metaxas 3DPC 14 154 0 15 Mar 2020
Safe Screening for the Generalized Conditional Gradient Method Yifan Sun Francis R. Bach 27 9 0 22 Feb 2020
Bit Allocation for Multi-Task Collaborative Intelligence Saeed Ranjbar Alvar Ivan V. Bajić 24 25 0 14 Feb 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 41 1,174 0 19 Jan 2020
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems Isabelle Leang Ganesh Sistu Fabian Burger Andrei Bursuc S. Yogamani 30 53 0 07 Jan 2020
Pareto Multi-Task Learning Xi Lin Hui-Ling Zhen Zhenhua Li Qingfu Zhang Sam Kwong 25 343 0 30 Dec 2019
Multi-Gradient Descent for Multi-Objective Recommender Systems Nikola Milojković Diego Antognini Giancarlo Bergamin Boi Faltings C. Musat 24 46 0 09 Dec 2019
When Does Self-supervision Improve Few-shot Learning? Jong-Chyi Su Subhransu Maji B. Hariharan 31 168 0 08 Oct 2019
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction Maosen Li Siheng Chen Xu Chen Ya Zhang Yanfeng Wang D. Ebert 3DH 23 186 0 05 Oct 2019
Towards Real-Time Multi-Object Tracking Zhongdao Wang Liang Zheng Yixuan Liu Yali Li Shengjin Wang VOT 270 857 0 27 Sep 2019
Is Heuristic Sampling Necessary in Training Deep Object Detectors? Joya Chen Dong Liu Tong Xu Shiwei Wu Yifei Cheng Enhong Chen ObjD VLM 28 12 0 11 Sep 2019
Deep Learning for CSI Feedback Based on Superimposed Coding Chaojin Qing Bin Cai Qingyao Yang Jiafan Wang Chuan Huang 19 43 0 27 Jul 2019
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification Lukas Liebel Marco Körner 3DH 44 25 0 25 Jul 2019
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer René Ranftl Katrin Lasinger David Hafner Konrad Schindler V. Koltun MDE 93 1,750 0 02 Jul 2019
A new approach to forecast service parts demand by integrating user preferences into multi-objective optimization Wenli Ouyang AI4TS 8 0 0 17 Jun 2019
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas J. Guibas Jitendra Malik Silvio Savarese 26 503 0 18 May 2019
Attentive Single-Tasking of Multiple Tasks Kevis-Kokitsi Maninis Ilija Radosavovic Iasonas Kokkinos 77 245 0 18 Apr 2019
Branched Multi-Task Networks: Deciding What Layers To Share Simon Vandenhende Stamatios Georgoulis Bert De Brabandere Luc Van Gool 25 145 0 05 Apr 2019
Learning Parallax Attention for Stereo Image Super-Resolution Longguang Wang Yingqian Wang Zhengfa Liang Zaiping Lin Jungang Yang W. An Yulan Guo SupR 29 249 0 14 Mar 2019
Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples Derui Wang Chaoran Li S. Wen Qing-Long Han Surya Nepal Xiangyu Zhang Yang Xiang AAML 30 40 0 06 Feb 2019
AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving Sumanth Chennupati Ganesh Sistu S. Yogamani S. Rawashdeh 17 46 0 17 Jan 2019
From Coarse to Fine: Robust Hierarchical Localization at Large Scale Paul-Edouard Sarlin Cesar Cadena Roland Siegwart Marcin Dymczyk 3DV 24 864 0 09 Dec 2018
Learning to Fuse Things and Stuff Jie Li Allan Raventos Arjun Bhargava Takaaki Tagawa Adrien Gaidon 33 104 0 04 Dec 2018
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 57 2,173 0 25 Jul 2017