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An Overview of Multi-Task Learning in Deep Neural Networks

An Overview of Multi-Task Learning in Deep Neural Networks

15 June 2017
Sebastian Ruder
    CVBM
ArXivPDFHTML

Papers citing "An Overview of Multi-Task Learning in Deep Neural Networks"

50 / 357 papers shown
Title
Technical Report: Auxiliary Tuning and its Application to Conditional
  Text Generation
Technical Report: Auxiliary Tuning and its Application to Conditional Text Generation
Yoel Zeldes
Dan Padnos
Or Sharir
Barak Peleg
23
19
0
30 Jun 2020
Vehicle Attribute Recognition by Appearance: Computer Vision Methods for
  Vehicle Type, Make and Model Classification
Vehicle Attribute Recognition by Appearance: Computer Vision Methods for Vehicle Type, Make and Model Classification
Xingyang Ni
H. Huttunen
CVBM
19
20
0
29 Jun 2020
Auxiliary Learning by Implicit Differentiation
Auxiliary Learning by Implicit Differentiation
Aviv Navon
Idan Achituve
Haggai Maron
Gal Chechik
Ethan Fetaya
25
59
0
22 Jun 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of
  Gaussian Processes
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
Mengdi Xu
Wenhao Ding
Jiacheng Zhu
Zuxin Liu
Baiming Chen
Ding Zhao
CLL
OffRL
26
34
0
19 Jun 2020
Interaction Networks: Using a Reinforcement Learner to train other
  Machine Learning algorithms
Interaction Networks: Using a Reinforcement Learner to train other Machine Learning algorithms
Florian Dietz
15
1
0
15 Jun 2020
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OOD
HAI
19
102
0
12 Jun 2020
Incorporating User Micro-behaviors and Item Knowledge into Multi-task
  Learning for Session-based Recommendation
Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation
Wenjing Meng
Deqing Yang
Yanghua Xiao
13
107
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
11
194
0
10 Jun 2020
Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning
Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning
Andrei Boiarov
O. Granichin
O. Granichina
45
6
0
09 Jun 2020
Learning to Branch for Multi-Task Learning
Learning to Branch for Multi-Task Learning
Pengsheng Guo
Chen-Yu Lee
Daniel Ulbricht
18
174
0
02 Jun 2020
Poly-YOLO: higher speed, more precise detection and instance
  segmentation for YOLOv3
Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3
P. Hurtík
Vojtech Molek
Jan Hula
M. Vajgl
Pavel Vlasánek
T. Nejezchleba
SSeg
ObjD
29
145
0
27 May 2020
Blind Backdoors in Deep Learning Models
Blind Backdoors in Deep Learning Models
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
FedML
SILM
46
298
0
08 May 2020
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text
  Mining
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining
Yifan Peng
Qingyu Chen
Zhiyong Lu
8
112
0
06 May 2020
Understanding and Improving Information Transfer in Multi-Task Learning
Understanding and Improving Information Transfer in Multi-Task Learning
Sen Wu
Hongyang R. Zhang
Christopher Ré
18
154
0
02 May 2020
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
Jonas Pfeiffer
Aishwarya Kamath
Andreas Rucklé
Kyunghyun Cho
Iryna Gurevych
CLL
MoMe
21
816
0
01 May 2020
Elastic weight consolidation for better bias inoculation
Elastic weight consolidation for better bias inoculation
James Thorne
Andreas Vlachos
22
11
0
29 Apr 2020
Emerging Relation Network and Task Embedding for Multi-Task Regression
  Problems
Emerging Relation Network and Task Embedding for Multi-Task Regression Problems
Jens Schreiber
Bernhard Sick
AI4TS
12
12
0
29 Apr 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
24
72
0
28 Apr 2020
A Perspective on Deep Learning for Molecular Modeling and Simulations
A Perspective on Deep Learning for Molecular Modeling and Simulations
Jun Zhang
Yao-Kun Lei
Zhen Zhang
Junhan Chang
Maodong Li
Xu Han
Lijiang Yang
Yi Yang
Y. Gao
AI4CE
34
8
0
25 Apr 2020
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic
  Reinforcement Learning
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning
Ryan Julian
Benjamin Swanson
Gaurav Sukhatme
Sergey Levine
Chelsea Finn
Karol Hausman
OnRL
CLL
25
43
0
21 Apr 2020
A Cross-Stitch Architecture for Joint Registration and Segmentation in
  Adaptive Radiotherapy
A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy
Laurens Beljaards
M. Elmahdy
F. Verbeek
Marius Staring
3DV
36
15
0
17 Apr 2020
Extending Unsupervised Neural Image Compression With Supervised
  Multitask Learning
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning
David Tellez
D. Höppener
Cornelis Verhoef
D. Grünhagen
Pieter M H Nierop
M. Drozdzal
Jeroen van der Laak
F. Ciompi
MedIm
28
31
0
15 Apr 2020
End-to-end Learning Improves Static Object Geo-localization in Monocular
  Video
End-to-end Learning Improves Static Object Geo-localization in Monocular Video
Mohamed Chaabane
L. Gueguen
A. Trabelsi
J. Beveridge
Stephen O'Hara
19
5
0
10 Apr 2020
Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute
  Recognition
Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute Recognition
Haitian Zeng
H. Ai
Zijie Zhuang
Long Chen
17
33
0
07 Apr 2020
MTL-NAS: Task-Agnostic Neural Architecture Search towards
  General-Purpose Multi-Task Learning
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Yuan Gao
Haoping Bai
Zequn Jie
Jiayi Ma
Kui Jia
Wei Liu
14
94
0
31 Mar 2020
Multi-task Learning with Coarse Priors for Robust Part-aware Person
  Re-identification
Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification
Changxing Ding
Kan Wang
Pengfei Wang
Dacheng Tao
22
63
0
18 Mar 2020
$F$, $B$, Alpha Matting
FFF, BBB, Alpha Matting
Marco Forte
François Pitié
25
84
0
17 Mar 2020
Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and
  Progress Prediction
Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction
Beatrice van Amsterdam
Matthew J. Clarkson
Danail Stoyanov
40
39
0
10 Mar 2020
Temporal Attribute Prediction via Joint Modeling of Multi-Relational
  Structure Evolution
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution
Sankalp Garg
Navodita Sharma
Woojeong Jin
Xiang Ren
AI4TS
30
8
0
09 Mar 2020
Leveraging Code Generation to Improve Code Retrieval and Summarization
  via Dual Learning
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning
Wei Ye
Rui Xie
Jinglei Zhang
Tianxiang Hu
Xiaoyin Wang
Shikun Zhang
23
74
0
24 Feb 2020
Learning Preference-Based Similarities from Face Images using Siamese
  Multi-Task CNNs
Learning Preference-Based Similarities from Face Images using Siamese Multi-Task CNNs
N. Gessert
Alexander Schlaefer
CVBM
16
1
0
25 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
36
1,165
0
19 Jan 2020
Attention over Parameters for Dialogue Systems
Attention over Parameters for Dialogue Systems
Andrea Madotto
Zhaojiang Lin
Chien-Sheng Wu
Jamin Shin
Pascale Fung
30
20
0
07 Jan 2020
Frosting Weights for Better Continual Training
Frosting Weights for Better Continual Training
Xiaofeng Zhu
Feng Liu
Goce Trajcevski
Dingding Wang
FedML
AI4CE
CLL
28
5
0
07 Jan 2020
Stance Detection Benchmark: How Robust Is Your Stance Detection?
Stance Detection Benchmark: How Robust Is Your Stance Detection?
Benjamin Schiller
Johannes Daxenberger
Iryna Gurevych
11
95
0
06 Jan 2020
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving
  Applications: A Review
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review
Sajjad Mozaffari
Omar Y. Al-Jarrah
M. Dianati
P. Jennings
A. Mouzakitis
24
136
0
25 Dec 2019
A Neural Model for Text Localization, Transcription and Named Entity
  Recognition in Full Pages
A Neural Model for Text Localization, Transcription and Named Entity Recognition in Full Pages
Manuel Carbonell
Alicia Fornés
M. Villegas
Josep Lladós
24
47
0
20 Dec 2019
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning
Yunhui Guo
Yandong Li
Liqiang Wang
Tajana Simunic
35
41
0
21 Nov 2019
Dense Fusion Classmate Network for Land Cover Classification
Dense Fusion Classmate Network for Land Cover Classification
Chao Tian
Cong Li
Jianping Shi
22
33
0
19 Nov 2019
A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role
  Labeling
A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling
Qingrong Xia
Zhenghua Li
Min Zhang
28
17
0
12 Nov 2019
Generalizing Natural Language Analysis through Span-relation
  Representations
Generalizing Natural Language Analysis through Span-relation Representations
Zhengbao Jiang
Wenyuan Xu
Jun Araki
Graham Neubig
30
60
0
10 Nov 2019
Dynamic Multi-Task Learning for Face Recognition with Facial Expression
Dynamic Multi-Task Learning for Face Recognition with Facial Expression
Zuheng Ming
J. Xia
M. Luqman
J. Burie
Kai Zhao
CVBM
19
25
0
08 Nov 2019
Privacy Enhanced Multimodal Neural Representations for Emotion
  Recognition
Privacy Enhanced Multimodal Neural Representations for Emotion Recognition
Mimansa Jaiswal
E. Provost
33
72
0
29 Oct 2019
Deep learning on edge: extracting field boundaries from satellite images
  with a convolutional neural network
Deep learning on edge: extracting field boundaries from satellite images with a convolutional neural network
F. Waldner
F. Diakogiannis
14
199
0
26 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
91
19,440
0
23 Oct 2019
Looking Ahead: Anticipating Pedestrians Crossing with Future Frames
  Prediction
Looking Ahead: Anticipating Pedestrians Crossing with Future Frames Prediction
Mohamed Chaabane
A. Trabelsi
Nathaniel Blanchard
Ross Beveridge
15
55
0
20 Oct 2019
Multi-modal Deep Analysis for Multimedia
Multi-modal Deep Analysis for Multimedia
Wenwu Zhu
Xin Wang
Hongzhi Li
29
38
0
11 Oct 2019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task
  Optimization under Privacy Constraints
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
Felix Sattler
K. Müller
Wojciech Samek
FedML
57
966
0
04 Oct 2019
Handwritten Amharic Character Recognition Using a Convolutional Neural
  Network
Handwritten Amharic Character Recognition Using a Convolutional Neural Network
Mesay Samuel Gondere
Lars Schmidt-Thieme
Abiot Sinamo Boltena
H. Jomaa
16
13
0
23 Sep 2019
Pose Neural Fabrics Search
Pose Neural Fabrics Search
Sen Yang
Wankou Yang
Zhen Cui
39
18
0
16 Sep 2019
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