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Identifying beneficial task relations for multi-task learning in deep
  neural networks

Identifying beneficial task relations for multi-task learning in deep neural networks

27 February 2017
Joachim Bingel
Anders Søgaard
ArXiv (abs)PDFHTML

Papers citing "Identifying beneficial task relations for multi-task learning in deep neural networks"

37 / 87 papers shown
Title
BAM! Born-Again Multi-Task Networks for Natural Language Understanding
BAM! Born-Again Multi-Task Networks for Natural Language Understanding
Kevin Clark
Minh-Thang Luong
Urvashi Khandelwal
Christopher D. Manning
Quoc V. Le
72
230
0
10 Jul 2019
Sequence Labeling Parsing by Learning Across Representations
Sequence Labeling Parsing by Learning Across Representations
Michalina Strzyz
David Vilares
Carlos Gómez-Rodríguez
AIMat
53
21
0
02 Jul 2019
Variational Sequential Labelers for Semi-Supervised Learning
Variational Sequential Labelers for Semi-Supervised Learning
Mingda Chen
Qingming Tang
Karen Livescu
Kevin Gimpel
SSLDRLBDLVLM
82
39
0
23 Jun 2019
Improving Sentiment Analysis with Multi-task Learning of Negation
Improving Sentiment Analysis with Multi-task Learning of Negation
Jeremy Barnes
Erik Velldal
Lilja Øvrelid
56
36
0
18 Jun 2019
A Multi-task Approach for Named Entity Recognition in Social Media Data
A Multi-task Approach for Named Entity Recognition in Social Media Data
Gustavo Aguilar
Suraj Maharjan
Adrian Pastor Lopez-Monroy
Thamar Solorio
51
144
0
10 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
140
517
0
18 May 2019
A Review of Keyphrase Extraction
A Review of Keyphrase Extraction
Eirini Papagiannopoulou
Grigorios Tsoumakas
62
168
0
13 May 2019
Multi-Task Learning for Argumentation Mining
Multi-Task Learning for Argumentation Mining
Tobias Kahse
26
4
0
23 Apr 2019
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning
Han Guo
Ramakanth Pasunuru
Joey Tianyi Zhou
138
47
0
08 Apr 2019
Better, Faster, Stronger Sequence Tagging Constituent Parsers
Better, Faster, Stronger Sequence Tagging Constituent Parsers
David Vilares
Mostafa Abdou
Anders Søgaard
106
23
0
28 Feb 2019
Accelerating Self-Play Learning in Go
Accelerating Self-Play Learning in Go
David J. Wu
103
96
0
27 Feb 2019
Symbolic inductive bias for visually grounded learning of spoken
  language
Symbolic inductive bias for visually grounded learning of spoken language
Grzegorz Chrupała
70
28
0
21 Dec 2018
Neural Multi-Task Learning for Citation Function and Provenance
Neural Multi-Task Learning for Citation Function and Provenance
Xuan Su
Animesh Prasad
Min-Yen Kan
Kazunari Sugiyama
47
20
0
18 Nov 2018
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic
  Tasks
A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks
Victor Sanh
Thomas Wolf
Sebastian Ruder
72
234
0
14 Nov 2018
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with
  Multitask Learning for Material Property Prediction
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction
Soumya Sanyal
J. Balachandran
N. Yadati
Abhishek Kumar
Padmini Rajagopalan
Suchismita Sanyal
Partha P. Talukdar
68
49
0
14 Nov 2018
Evolutionary Data Measures: Understanding the Difficulty of Text
  Classification Tasks
Evolutionary Data Measures: Understanding the Difficulty of Text Classification Tasks
Edward Collins
Nikolai Rozanov
M. Kaptein
70
29
0
05 Nov 2018
Sentence Encoders on STILTs: Supplementary Training on Intermediate
  Labeled-data Tasks
Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks
Jason Phang
Thibault Févry
Samuel R. Bowman
116
470
0
02 Nov 2018
Powerful, transferable representations for molecules through intelligent
  task selection in deep multitask networks
Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks
Clyde Fare
Lukas Turcani
Edward O. Pyzer-Knapp
50
13
0
17 Sep 2018
Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval
Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval
Niluthpol Chowdhury Mithun
Yikang Shen
Evangelos E. Papalexakis
Amit K. Roy-Chowdhury
67
77
0
23 Aug 2018
Multi-Task Learning for Sequence Tagging: An Empirical Study
Multi-Task Learning for Sequence Tagging: An Empirical Study
Soravit Changpinyo
Hexiang Hu
Fei Sha
71
67
0
13 Aug 2018
Concurrent Learning of Semantic Relations
Concurrent Learning of Semantic Relations
Georgios Balikas
G. Dias
Rumen Moraliyski
Massih-Reza Amini
28
0
0
26 Jul 2018
All-in-one: Multi-task Learning for Rumour Verification
All-in-one: Multi-task Learning for Rumour Verification
E. Kochkina
Maria Liakata
A. Zubiaga
78
224
0
10 Jun 2018
Transfer Learning of Artist Group Factors to Musical Genre
  Classification
Transfer Learning of Artist Group Factors to Musical Genre Classification
Jaehun Kim
Minz Won
Xavier Serra
Cynthia C. S. Liem
58
17
0
05 May 2018
Multitask Parsing Across Semantic Representations
Multitask Parsing Across Semantic Representations
Daniel Hershcovich
Omri Abend
A. Rappoport
57
67
0
01 May 2018
Scheduled Multi-Task Learning: From Syntax to Translation
Scheduled Multi-Task Learning: From Syntax to Translation
E. Kiperwasser
Miguel Ballesteros
74
82
0
24 Apr 2018
Taskonomy: Disentangling Task Transfer Learning
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir
Alexander Sax
Bokui (William) Shen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
126
1,225
0
23 Apr 2018
Linguistically-Informed Self-Attention for Semantic Role Labeling
Linguistically-Informed Self-Attention for Semantic Role Labeling
Emma Strubell
Pat Verga
D. Andor
David J. Weiss
Andrew McCallum
OffRL
93
380
0
23 Apr 2018
Comparatives, Quantifiers, Proportions: A Multi-Task Model for the
  Learning of Quantities from Vision
Comparatives, Quantifiers, Proportions: A Multi-Task Model for the Learning of Quantities from Vision
Sandro Pezzelle
Ionut-Teodor Sorodoc
Raffaella Bernardi
40
9
0
13 Apr 2018
Multi-Task Learning for Argumentation Mining in Low-Resource Settings
Multi-Task Learning for Argumentation Mining in Low-Resource Settings
Claudia Schulz
Steffen Eger
Johannes Daxenberger
Tobias Kahse
Iryna Gurevych
LRM
83
68
0
11 Apr 2018
One Deep Music Representation to Rule Them All? : A comparative analysis
  of different representation learning strategies
One Deep Music Representation to Rule Them All? : A comparative analysis of different representation learning strategies
Jaehun Kim
Julián Urbano
Cynthia C. S. Liem
Alan Hanjalic
139
47
0
12 Feb 2018
SRL4ORL: Improving Opinion Role Labeling using Multi-task Learning with
  Semantic Role Labeling
SRL4ORL: Improving Opinion Role Labeling using Multi-task Learning with Semantic Role Labeling
Ana Marasović
Anette Frank
54
9
0
02 Nov 2017
Auxiliary Objectives for Neural Error Detection Models
Auxiliary Objectives for Neural Error Detection Models
Marek Rei
H. Yannakoudakis
62
27
0
17 Jul 2017
An Overview of Multi-Task Learning in Deep Neural Networks
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
CVBM
161
2,837
0
15 Jun 2017
Exploring the Syntactic Abilities of RNNs with Multi-task Learning
Exploring the Syntactic Abilities of RNNs with Multi-task Learning
Émile Enguehard
Yoav Goldberg
Tal Linzen
67
28
0
12 Jun 2017
Latent Multi-task Architecture Learning
Latent Multi-task Architecture Learning
Sebastian Ruder
Joachim Bingel
Isabelle Augenstein
Anders Søgaard
CVBM
84
171
0
23 May 2017
Imagination improves Multimodal Translation
Imagination improves Multimodal Translation
Desmond Elliott
Ákos Kádár
173
137
0
11 May 2017
Semi-supervised Multitask Learning for Sequence Labeling
Semi-supervised Multitask Learning for Sequence Labeling
Marek Rei
85
247
0
24 Apr 2017
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