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Sharing to learn and learning to share; Fitting together Meta-Learning,
  Multi-Task Learning, and Transfer Learning: A meta review
v1v2v3v4v5v6v7 (latest)

Sharing to learn and learning to share; Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta review

23 November 2021
Richa Upadhyay
Ronald Phlypo
Rajkumar Saini
Marcus Liwicki
    CLL
ArXiv (abs)PDFHTML

Papers citing "Sharing to learn and learning to share; Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta review"

23 / 23 papers shown
Title
Generating Personalized Dialogue via Multi-Task Meta-Learning
Generating Personalized Dialogue via Multi-Task Meta-Learning
Jing Yang Lee
Kong Aik Lee
W. Gan
72
14
0
07 Aug 2021
Open-Ended Learning Leads to Generally Capable Agents
Open-Ended Learning Leads to Generally Capable Agents
Open-Ended Learning Team
Adam Stooke
Anuj Mahajan
Catarina Barros
Charlie Deck
...
Nicolas Porcel
Roberta Raileanu
Steph Hughes-Fitt
Valentin Dalibard
Wojciech M. Czarnecki
103
190
0
27 Jul 2021
Recursive Inference for Variational Autoencoders
Recursive Inference for Variational Autoencoders
Minyoung Kim
Vladimir Pavlovic
DRL
50
13
0
17 Nov 2020
A Brief Review of Domain Adaptation
A Brief Review of Domain Adaptation
Abolfazl Farahani
Sahar Voghoei
Khaled Rasheed
H. Arabnia
OOD
59
545
0
07 Oct 2020
Hidden Incentives for Auto-Induced Distributional Shift
Hidden Incentives for Auto-Induced Distributional Shift
David M. Krueger
Tegan Maharaj
Jan Leike
67
52
0
19 Sep 2020
Self-Supervised Meta-Learning for Few-Shot Natural Language
  Classification Tasks
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks
Trapit Bansal
Rishikesh Jha
Tsendsuren Munkhdalai
Andrew McCallum
SSLVLM
89
88
0
17 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
217
625
0
10 Sep 2020
A Survey on Negative Transfer
A Survey on Negative Transfer
Wen Zhang
Lingfei Deng
Lei Zhang
Dongrui Wu
AAML
100
221
0
02 Sep 2020
Learning to Branch for Multi-Task Learning
Learning to Branch for Multi-Task Learning
Pengsheng Guo
Chen-Yu Lee
Daniel Ulbricht
68
179
0
02 Jun 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
395
1,988
0
11 Apr 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
Wei Zhou
Yiying Li
Yongxin Yang
Huaimin Wang
Timothy M. Hospedales
OffRL
68
47
0
11 Mar 2020
TaskNorm: Rethinking Batch Normalization for Meta-Learning
TaskNorm: Rethinking Batch Normalization for Meta-Learning
J. Bronskill
Jonathan Gordon
James Requeima
Sebastian Nowozin
Richard Turner
90
91
0
06 Mar 2020
Meta-Transfer Learning for Zero-Shot Super-Resolution
Meta-Transfer Learning for Zero-Shot Super-Resolution
Jae Woong Soh
Sunwoo Cho
N. Cho
SupR
77
284
0
27 Feb 2020
Localization of Fake News Detection via Multitask Transfer Learning
Localization of Fake News Detection via Multitask Transfer Learning
Jan Christian Blaise Cruz
Julianne Agatha Tan
C. Cheng
58
34
0
21 Oct 2019
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
L. Zintgraf
K. Shiarlis
Maximilian Igl
Sebastian Schulze
Y. Gal
Katja Hofmann
Shimon Whiteson
OffRL
65
279
0
18 Oct 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
305
647
0
19 Sep 2019
Meta Dynamic Pricing: Transfer Learning Across Experiments
Meta Dynamic Pricing: Transfer Learning Across Experiments
Hamsa Bastani
D. Simchi-Levi
Ruihao Zhu
103
93
0
28 Feb 2019
An Integrated Transfer Learning and Multitask Learning Approach for
  Pharmacokinetic Parameter Prediction
An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction
Zhuyifan Ye
Yilong Yang
Xiaoshan Li
Dongsheng Cao
D. Ouyang
50
76
0
21 Dec 2018
Meta-Transfer Learning for Few-Shot Learning
Meta-Transfer Learning for Few-Shot Learning
Qianru Sun
Yaoyao Liu
Tat-Seng Chua
Bernt Schiele
206
1,071
0
06 Dec 2018
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for
  Simultaneous Depth Estimation and Scene Parsing
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing
Dan Xu
Wanli Ouyang
Xiaogang Wang
N. Sebe
MoE
59
479
0
11 May 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
1,221
0
23 Apr 2018
Meta Multi-Task Learning for Sequence Modeling
Meta Multi-Task Learning for Sequence Modeling
Junkun Chen
Xipeng Qiu
Pengfei Liu
Xuanjing Huang
58
92
0
25 Feb 2018
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
375
7,333
0
13 Jun 2016
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