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Multi-Task Learning as Multi-Objective Optimization
v1v2 (latest)

Multi-Task Learning as Multi-Objective Optimization

10 October 2018
Ozan Sener
V. Koltun
ArXiv (abs)PDFHTML

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

50 / 308 papers shown
Title
Federated Learning Meets Multi-objective Optimization
Federated Learning Meets Multi-objective Optimization
Zeou Hu
Kiarash Shaloudegi
Guojun Zhang
Yaoliang Yu
FedML
87
98
0
20 Jun 2020
Maximum Roaming Multi-Task Learning
Maximum Roaming Multi-Task Learning
Lucas Pascal
Pietro Michiardi
Xavier Bost
B. Huet
Maria A. Zuluaga
206
31
0
17 Jun 2020
SAMBA: Safe Model-Based & Active Reinforcement Learning
SAMBA: Safe Model-Based & Active Reinforcement Learning
Alexander I. Cowen-Rivers
Daniel Palenicek
Vincent Moens
Mohammed Abdullah
Aivar Sootla
Jun Wang
Haitham Bou-Ammar
75
45
0
12 Jun 2020
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
Zaiwei Zhang
Bo Sun
Haitao Yang
Qi-Xing Huang
3DPC
112
200
0
10 Jun 2020
Learning to Branch for Multi-Task Learning
Learning to Branch for Multi-Task Learning
Pengsheng Guo
Chen-Yu Lee
Daniel Ulbricht
100
179
0
02 Jun 2020
Multitask Learning with Single Gradient Step Update for Task Balancing
Multitask Learning with Single Gradient Step Update for Task Balancing
Sungjae Lee
Youngdoo Son
87
22
0
20 May 2020
Blind Backdoors in Deep Learning Models
Blind Backdoors in Deep Learning Models
Eugene Bagdasaryan
Vitaly Shmatikov
AAMLFedMLSILM
160
310
0
08 May 2020
Sources of Transfer in Multilingual Named Entity Recognition
Sources of Transfer in Multilingual Named Entity Recognition
David Mueller
Nicholas Andrews
Mark Dredze
55
21
0
02 May 2020
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification
  Using Highly Randomized Synthetic Data
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
81
140
0
02 May 2020
Multi-Task Learning for Dense Prediction Tasks: A Survey
Multi-Task Learning for Dense Prediction Tasks: A Survey
Simon Vandenhende
Stamatios Georgoulis
Wouter Van Gansbeke
Marc Proesmans
Dengxin Dai
Luc Van Gool
CVBM
71
73
0
28 Apr 2020
FairMOT: On the Fairness of Detection and Re-Identification in Multiple
  Object Tracking
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking
Yifu Zhang
Chunyu Wang
Xinggang Wang
Wenjun Zeng
Wenyu Liu
VOT
174
1,363
0
04 Apr 2020
Multi-Task Reinforcement Learning with Soft Modularization
Multi-Task Reinforcement Learning with Soft Modularization
Ruihan Yang
Huazhe Xu
Yi Wu
Xiaolong Wang
69
185
0
30 Mar 2020
Multi-Objective Matrix Normalization for Fine-grained Visual Recognition
Multi-Objective Matrix Normalization for Fine-grained Visual Recognition
Shaobo Min
Hantao Yao
Hongtao Xie
Zhengjun Zha
Yongdong Zhang
89
70
0
30 Mar 2020
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving
  Based on Bird's Eye View Maps
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps
Pengxiang Wu
Siheng Chen
Dimitris N. Metaxas
3DPC
85
160
0
15 Mar 2020
MoTiAC: Multi-Objective Actor-Critics for Real-Time Bidding
MoTiAC: Multi-Objective Actor-Critics for Real-Time Bidding
Haolin Zhou
Chaoqi Yang
Xiaofeng Gao
Qiong Chen
Gongshen Liu
Guihai Chen
64
6
0
18 Feb 2020
Bit Allocation for Multi-Task Collaborative Intelligence
Bit Allocation for Multi-Task Collaborative Intelligence
Saeed Ranjbar Alvar
Ivan V. Bajić
55
29
0
14 Feb 2020
Multi-Task Learning by a Top-Down Control Network
Multi-Task Learning by a Top-Down Control Network
Hila Levi
S. Ullman
29
7
0
09 Feb 2020
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning
Simon Vandenhende
Stamatios Georgoulis
Luc Van Gool
124
225
0
19 Jan 2020
Gradient Surgery for Multi-Task Learning
Gradient Surgery for Multi-Task Learning
Tianhe Yu
Saurabh Kumar
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
197
1,235
0
19 Jan 2020
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous
  Driving Systems
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems
Isabelle Leang
Ganesh Sistu
Fabian Burger
Andrei Bursuc
S. Yogamani
87
53
0
07 Jan 2020
Pareto Multi-Task Learning
Pareto Multi-Task Learning
Xi Lin
Hui-Ling Zhen
Zhenhua Li
Qingfu Zhang
Sam Kwong
98
352
0
30 Dec 2019
Image Enhanced Rotation Prediction for Self-Supervised Learning
Image Enhanced Rotation Prediction for Self-Supervised Learning
Shin'ya Yamaguchi
Sekitoshi Kanai
Tetsuya Shioda
Shoichiro Takeda
49
12
0
25 Dec 2019
Regularizing Deep Multi-Task Networks using Orthogonal Gradients
Regularizing Deep Multi-Task Networks using Orthogonal Gradients
Mihai Suteu
Yike Guo
78
59
0
14 Dec 2019
Multi-Gradient Descent for Multi-Objective Recommender Systems
Multi-Gradient Descent for Multi-Objective Recommender Systems
Nikola Milojković
Diego Antognini
Giancarlo Bergamin
Boi Faltings
C. Musat
82
47
0
09 Dec 2019
Learning to synthesise the ageing brain without longitudinal data
Learning to synthesise the ageing brain without longitudinal data
Tian Xia
A. Chartsias
Chengjia Wang
Sotirios A. Tsaftaris
OODMedIm
91
54
0
04 Dec 2019
Unlocking the Full Potential of Small Data with Diverse Supervision
Unlocking the Full Potential of Small Data with Diverse Supervision
Ziqi Pang
Zhiyuan Hu
P. Tokmakov
Yu-Xiong Wang
M. Hebert
25
0
0
29 Nov 2019
Product Knowledge Graph Embedding for E-commerce
Product Knowledge Graph Embedding for E-commerce
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
71
106
0
28 Nov 2019
Generalization in multitask deep neural classifiers: a statistical
  physics approach
Generalization in multitask deep neural classifiers: a statistical physics approach
Tyler Lee
A. Ndirango
AI4CE
142
20
0
30 Oct 2019
When Does Self-supervision Improve Few-shot Learning?
When Does Self-supervision Improve Few-shot Learning?
Jong-Chyi Su
Subhransu Maji
B. Hariharan
98
171
0
08 Oct 2019
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action
  Recognition and Motion Prediction
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
77
193
0
05 Oct 2019
Towards Real-Time Multi-Object Tracking
Towards Real-Time Multi-Object Tracking
Zhongdao Wang
Liang Zheng
Yixuan Liu
Yali Li
Shengjin Wang
VOT
326
886
0
27 Sep 2019
Relationship Explainable Multi-objective Reinforcement Learning with
  Semantic Explainability Generation
Relationship Explainable Multi-objective Reinforcement Learning with Semantic Explainability Generation
Huixin Zhan
Yongcan Cao
61
2
0
26 Sep 2019
Improved Schemes for Episodic Memory-based Lifelong Learning
Improved Schemes for Episodic Memory-based Lifelong Learning
Yunhui Guo
Mingrui Liu
Tianbao Yang
Tajana Simunic
CLL
48
9
0
25 Sep 2019
A generic framework for task selection driven by synthetic emotions
A generic framework for task selection driven by synthetic emotions
C. Gros
32
1
0
25 Sep 2019
Graph-Partitioning-Based Diffusion Convolutional Recurrent Neural
  Network for Large-Scale Traffic Forecasting
Graph-Partitioning-Based Diffusion Convolutional Recurrent Neural Network for Large-Scale Traffic Forecasting
Tanwi Mallick
Prasanna Balaprakash
E. Rask
Jane Macfarlane
DiffMAI4TSGNN
51
79
0
24 Sep 2019
Multitask Learning to Improve Egocentric Action Recognition
Multitask Learning to Improve Egocentric Action Recognition
G. Kapidis
R. Poppe
E. V. Dam
L. Noldus
R. Veltkamp
EgoV
79
37
0
15 Sep 2019
Adaptive Scheduling for Multi-Task Learning
Adaptive Scheduling for Multi-Task Learning
Sébastien Jean
Orhan Firat
Melvin Johnson
76
43
0
13 Sep 2019
Reinforcement Learning for Joint Optimization of Multiple Rewards
Reinforcement Learning for Joint Optimization of Multiple Rewards
Mridul Agarwal
Vaneet Aggarwal
84
16
0
06 Sep 2019
Auxiliary Learning for Deep Multi-task Learning
Auxiliary Learning for Deep Multi-task Learning
Yifan Liu
Bohan Zhuang
Chunhua Shen
Hao Chen
Wei Yin
MoE
54
10
0
05 Sep 2019
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
Benjin Zhu
Zhengkai Jiang
Xiangxin Zhou
Zeming Li
Gang Yu
3DPC
213
498
0
26 Aug 2019
Deep Learning for CSI Feedback Based on Superimposed Coding
Deep Learning for CSI Feedback Based on Superimposed Coding
Chaojin Qing
Bin Cai
Qingyao Yang
Jiafan Wang
Chuan Huang
43
43
0
27 Jul 2019
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and
  Classification
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification
Lukas Liebel
Marco Körner
3DH
98
26
0
25 Jul 2019
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot
  Cross-dataset Transfer
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
René Ranftl
Katrin Lasinger
David Hafner
Konrad Schindler
V. Koltun
MDE
263
1,808
0
02 Jul 2019
Boosting Supervision with Self-Supervision for Few-shot Learning
Boosting Supervision with Self-Supervision for Few-shot Learning
Jong-Chyi Su
Subhransu Maji
B. Hariharan
SSLAI4MH
63
19
0
17 Jun 2019
A new approach to forecast service parts demand by integrating user
  preferences into multi-objective optimization
A new approach to forecast service parts demand by integrating user preferences into multi-objective optimization
Wenli Ouyang
AI4TS
33
0
0
17 Jun 2019
Which Tasks Should Be Learned Together in Multi-task Learning?
Which Tasks Should Be Learned Together in Multi-task Learning?
Trevor Scott Standley
Amir Zamir
Dawn Chen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
145
519
0
18 May 2019
Attentive Single-Tasking of Multiple Tasks
Attentive Single-Tasking of Multiple Tasks
Kevis-Kokitsi Maninis
Ilija Radosavovic
Iasonas Kokkinos
202
251
0
18 Apr 2019
MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy
  for Multi-Task Learning
MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning
Sumanth Chennupati
Ganesh Sistu
S. Yogamani
S. Rawashdeh
79
94
0
15 Apr 2019
Context-Aware Embeddings for Automatic Art Analysis
Context-Aware Embeddings for Automatic Art Analysis
Noa Garcia
B. Renoust
Yuta Nakashima
42
52
0
10 Apr 2019
Branched Multi-Task Networks: Deciding What Layers To Share
Branched Multi-Task Networks: Deciding What Layers To Share
Simon Vandenhende
Stamatios Georgoulis
Bert De Brabandere
Luc Van Gool
124
145
0
05 Apr 2019
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