Multi-Task Learning as Multi-Objective Optimization

10 October 2018

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

45 / 195 papers shown

Title
Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks S. Maddu D. Sturm Christian L. Müller I. Sbalzarini AI4CE 21 81 0 02 Jul 2021
Multitask Learning for Scalable and Dense Multilayer Bayesian Map Inference Lu Gan Youngji Kim J. Grizzle Jeffrey M. Walls Ayoung Kim Ryan Eustice Maani Ghaffari 26 15 0 28 Jun 2021
Multi-target prediction for dummies using two-branch neural networks Dimitrios Iliadis B. De Baets Willem Waegeman 17 9 0 19 Apr 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 42 270 0 16 Apr 2021
Vision Transformers for Dense Prediction René Ranftl Alexey Bochkovskiy V. Koltun ViT MDE 42 1,659 0 24 Mar 2021
Scalable Pareto Front Approximation for Deep Multi-Objective Learning Michael Ruchte Josif Grabocka 24 58 0 24 Mar 2021
RotoGrad: Gradient Homogenization in Multitask Learning Adrián Javaloy Isabel Valera 21 86 0 03 Mar 2021
Learning Invariant Representations across Domains and Tasks Jindong Wang Wenjie Feng Chang-Shu Liu Chaohui Yu Min Du Renjun Xu Tao Qin Tie-Yan Liu OOD 28 3 0 03 Mar 2021
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction John Phillips Julieta Martinez Ioan Andrei Bârsan Sergio Casas Abbas Sadat R. Urtasun 32 36 0 17 Jan 2021
Learn to Bind and Grow Neural Structures Azhar Shaikh Nishant Sinha CLL 16 0 0 21 Nov 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
An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection Yin Cao Turab Iqbal Qiuqiang Kong Y. Zhong Wenwu Wang Mark D. Plumbley 16 75 0 25 Oct 2020
Auxiliary Task Reweighting for Minimum-data Learning Baifeng Shi Judy Hoffman Kate Saenko Trevor Darrell Huijuan Xu MoMe 24 32 0 16 Oct 2020
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout Zhao Chen Jiquan Ngiam Yanping Huang Thang Luong Henrik Kretzschmar Yuning Chai Dragomir Anguelov 41 206 0 14 Oct 2020
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context Milena Filipovic B. Mitrevski Diego Antognini Emma Lejal Glaude Boi Faltings C. Musat OffRL 22 10 0 19 Sep 2020
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data Jonathan Pilault Amine Elhattami C. Pal CLL MoE 21 89 0 19 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 30 608 0 10 Sep 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 15 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 22 72 0 24 Jul 2020
Auxiliary Learning by Implicit Differentiation Aviv Navon Idan Achituve Haggai Maron Gal Chechik Ethan Fetaya 23 59 0 22 Jun 2020
Federated Learning Meets Multi-objective Optimization Zeou Hu K. Shaloudegi Guojun Zhang Yaoliang Yu FedML 21 89 0 20 Jun 2020
Maximum Roaming Multi-Task Learning Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 25 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 15 44 0 12 Jun 2020
Learning to Branch for Multi-Task Learning Pengsheng Guo Chen-Yu Lee Daniel Ulbricht 15 174 0 02 Jun 2020
Multitask Learning with Single Gradient Step Update for Task Balancing Sungjae Lee Youngdoo Son 25 22 0 20 May 2020
Blind Backdoors in Deep Learning Models Eugene Bagdasaryan Vitaly Shmatikov AAML FedML SILM 24 298 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 22 140 0 02 May 2020
Multi-Task Learning for Dense Prediction Tasks: A Survey Simon Vandenhende Stamatios Georgoulis Wouter Van Gansbeke M. Proesmans Dengxin Dai Luc Van Gool CVBM 22 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 34 1,303 0 04 Apr 2020
Multi-Task Reinforcement Learning with Soft Modularization Ruihan Yang Huazhe Xu Yi Wu Xiaolong Wang 27 174 0 30 Mar 2020
Multi-Objective Matrix Normalization for Fine-grained Visual Recognition Shaobo Min Hantao Yao Hongtao Xie Zhengjun Zha Yongdong Zhang 20 65 0 30 Mar 2020
Safe Screening for the Generalized Conditional Gradient Method Yifan Sun Francis R. Bach 19 9 0 22 Feb 2020
Bit Allocation for Multi-Task Collaborative Intelligence Saeed Ranjbar Alvar Ivan V. Bajić 16 25 0 14 Feb 2020
When Does Self-supervision Improve Few-shot Learning? Jong-Chyi Su Subhransu Maji B. Hariharan 17 168 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-Qin Zhang Yanfeng Wang D. Ebert 3DH 21 183 0 05 Oct 2019
Is Heuristic Sampling Necessary in Training Deep Object Detectors? Joya Chen Dong Liu Tong Bill Xu Shiwei Wu Yifei Cheng Enhong Chen ObjD VLM 23 12 0 11 Sep 2019
Deep Learning for CSI Feedback Based on Superimposed Coding Chaojin Qing Bin Cai Qingyao Yang Jiafan Wang Chuan Huang 11 42 0 27 Jul 2019
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification Lukas Liebel Marco Körner 3DH 36 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 46 1,745 0 02 Jul 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 15 502 0 18 May 2019
Attentive Single-Tasking of Multiple Tasks Kevis-Kokitsi Maninis Ilija Radosavovic Iasonas Kokkinos 72 243 0 18 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 18 249 0 14 Mar 2019
From Coarse to Fine: Robust Hierarchical Localization at Large Scale Paul-Edouard Sarlin César Cadena Roland Siegwart Marcin Dymczyk 3DV 10 862 0 09 Dec 2018
Learning to Fuse Things and Stuff Jie Li Allan Raventos Arjun Bhargava Takaaki Tagawa Adrien Gaidon 25 104 0 04 Dec 2018