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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
ArXivPDFHTML

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

48 / 48 papers shown
Title
Interpreting and Exploiting Functional Specialization in Multi-Head
  Attention under Multi-task Learning
Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning
Chong Li
Shaonan Wang
Yunhao Zhang
Jiajun Zhang
Chengqing Zong
38
4
0
16 Oct 2023
Constructing Time-Series Momentum Portfolios with Deep Multi-Task
  Learning
Constructing Time-Series Momentum Portfolios with Deep Multi-Task Learning
Joel Ong
Dorien Herremans
AI4TS
27
6
0
08 Jun 2023
Toward Building General Foundation Models for Language, Vision, and
  Vision-Language Understanding Tasks
Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding Tasks
Xinsong Zhang
Yan Zeng
Jipeng Zhang
Hang Li
VLM
AI4CE
LRM
22
17
0
12 Jan 2023
Multi-Task Learning for Depression Detection in Dialogs
Multi-Task Learning for Depression Detection in Dialogs
Chuyuan Li
Chloé Braud
M. Amblard
22
10
0
21 Jul 2022
Explaining the Effectiveness of Multi-Task Learning for Efficient
  Knowledge Extraction from Spine MRI Reports
Explaining the Effectiveness of Multi-Task Learning for Efficient Knowledge Extraction from Spine MRI Reports
Arijit Sehanobish
M. Sandora
Nabila Abraham
Jayashri Pawar
Danielle Torres
Anasuya Das
M. Becker
Richard Herzog
Benjamin Odry
Ron Vianu
21
3
0
06 May 2022
On partitioning of an SHM problem and parallels with transfer learning
On partitioning of an SHM problem and parallels with transfer learning
G. Tsialiamanis
D. Wagg
P. Gardner
N. Dervilis
K. Worden
13
7
0
03 Mar 2022
Identifying Suitable Tasks for Inductive Transfer Through the Analysis
  of Feature Attributions
Identifying Suitable Tasks for Inductive Transfer Through the Analysis of Feature Attributions
Alexander Pugantsov
R. McCreadie
23
0
0
02 Feb 2022
Robust Natural Language Processing: Recent Advances, Challenges, and
  Future Directions
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions
Marwan Omar
Soohyeon Choi
Daehun Nyang
David A. Mohaisen
32
57
0
03 Jan 2022
Interpretable Low-Resource Legal Decision Making
Interpretable Low-Resource Legal Decision Making
R. Bhambhoria
Hui Liu
Samuel Dahan
Xiao-Dan Zhu
ELM
AILaw
32
9
0
01 Jan 2022
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning
Milad Abdollahzadeh
Touba Malekzadeh
Ngai-man Cheung
28
28
0
27 Oct 2021
Learning More for Free - A Multi Task Learning Approach for Improved
  Pathology Classification in Capsule Endoscopy
Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy
Anuja Vats
Marius Pedersen
A. Mohammed
Ø. Hovde
16
7
0
30 Jun 2021
One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task
  Learning on Semantic Parsing Datasets
One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets
Marco Damonte
Emilio Monti
AIMat
38
6
0
08 Jun 2021
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection
Xu Guo
Boyang Albert Li
Han Yu
Chunyan Miao
AAML
28
17
0
19 Apr 2021
What to Pre-Train on? Efficient Intermediate Task Selection
What to Pre-Train on? Efficient Intermediate Task Selection
Clifton A. Poth
Jonas Pfeiffer
Andreas Rucklé
Iryna Gurevych
21
94
0
16 Apr 2021
Language Modelling as a Multi-Task Problem
Language Modelling as a Multi-Task Problem
Leon Weber
Jaap Jumelet
Elia Bruni
Dieuwke Hupkes
29
13
0
27 Jan 2021
LiteMuL: A Lightweight On-Device Sequence Tagger using Multi-task
  Learning
LiteMuL: A Lightweight On-Device Sequence Tagger using Multi-task Learning
S. Kumari
Vibhav Agarwal
B. Challa
Kranti Chalamalasetti
Sourav Ghosh
Harshavardhana
Barath Raj Kandur Raja
21
1
0
15 Dec 2020
Measuring and Harnessing Transference in Multi-Task Learning
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
Controlling the Interaction Between Generation and Inference in
  Semi-Supervised Variational Autoencoders Using Importance Weighting
Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting
G. Felhi
Joseph Leroux
Djamé Seddah
BDL
26
1
0
13 Oct 2020
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning
  in NLP Using Fewer Parameters & Less Data
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data
Jonathan Pilault
Amine Elhattami
C. Pal
CLL
MoE
30
89
0
19 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
53
609
0
10 Sep 2020
Neural MOS Prediction for Synthesized Speech Using Multi-Task Learning
  With Spoofing Detection and Spoofing Type Classification
Neural MOS Prediction for Synthesized Speech Using Multi-Task Learning With Spoofing Detection and Spoofing Type Classification
Yeunju Choi
Youngmoon Jung
Hoirin Kim
16
27
0
16 Jul 2020
Learning Functions to Study the Benefit of Multitask Learning
Learning Functions to Study the Benefit of Multitask Learning
Gabriele Bettgenhauser
Michael A. Hedderich
Dietrich Klakow
14
4
0
09 Jun 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
MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech
MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech
Jakob Drachmann Havtorn
Jan Latko
Joakim Edin
Lasse Borgholt
Lars Maaløe
Lorenzo Belgrano
Nicolai Frost Jakobsen
R. Sdun
Zeljko Agic
19
3
0
02 May 2020
Multi-Task Self-Supervised Learning for Disfluency Detection
Multi-Task Self-Supervised Learning for Disfluency Detection
Shaolei Wang
Wanxiang Che
Qi Liu
Pengda Qin
Ting Liu
William Yang Wang
SSL
22
56
0
15 Aug 2019
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
21
228
0
10 Jul 2019
Variational Sequential Labelers for Semi-Supervised Learning
Variational Sequential Labelers for Semi-Supervised Learning
Mingda Chen
Qingming Tang
Karen Livescu
Kevin Gimpel
SSL
DRL
BDL
VLM
27
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
16
36
0
18 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 J. Guibas
Jitendra Malik
Silvio Savarese
24
503
0
18 May 2019
A Review of Keyphrase Extraction
A Review of Keyphrase Extraction
Eirini Papagiannopoulou
Grigorios Tsoumakas
18
166
0
13 May 2019
Advancing NLP with Cognitive Language Processing Signals
Advancing NLP with Cognitive Language Processing Signals
Nora Hollenstein
Maria Barrett
M. Troendle
Francesco Bigiolli
N. Langer
Ce Zhang
19
39
0
04 Apr 2019
Better, Faster, Stronger Sequence Tagging Constituent Parsers
Better, Faster, Stronger Sequence Tagging Constituent Parsers
David Vilares
Mostafa Abdou
Anders Søgaard
33
22
0
28 Feb 2019
Symbolic inductive bias for visually grounded learning of spoken
  language
Symbolic inductive bias for visually grounded learning of spoken language
Grzegorz Chrupała
22
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
22
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
16
233
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
27
48
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
9
27
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
30
467
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
32
13
0
17 Sep 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
29
67
0
13 Aug 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
33
17
0
05 May 2018
Scheduled Multi-Task Learning: From Syntax to Translation
Scheduled Multi-Task Learning: From Syntax to Translation
E. Kiperwasser
Miguel Ballesteros
30
82
0
24 Apr 2018
Multi-task Learning of Pairwise Sequence Classification Tasks Over
  Disparate Label Spaces
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces
Isabelle Augenstein
Sebastian Ruder
Anders Søgaard
SSL
17
73
0
27 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
37
9
0
02 Nov 2017
Latent Multi-task Architecture Learning
Latent Multi-task Architecture Learning
Sebastian Ruder
Joachim Bingel
Isabelle Augenstein
Anders Søgaard
CVBM
27
171
0
23 May 2017
Imagination improves Multimodal Translation
Imagination improves Multimodal Translation
Desmond Elliott
Ákos Kádár
29
136
0
11 May 2017
Semi-supervised Multitask Learning for Sequence Labeling
Semi-supervised Multitask Learning for Sequence Labeling
Marek Rei
27
247
0
24 Apr 2017
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