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Meta-Learning in Neural Networks: A Survey

Meta-Learning in Neural Networks: A Survey

11 April 2020
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
    OOD
ArXivPDFHTML

Papers citing "Meta-Learning in Neural Networks: A Survey"

32 / 832 papers shown
Title
Learning to Generate Novel Domains for Domain Generalization
Learning to Generate Novel Domains for Domain Generalization
Kaiyang Zhou
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
OOD
33
445
0
07 Jul 2020
MPLP: Learning a Message Passing Learning Protocol
MPLP: Learning a Message Passing Learning Protocol
E. Randazzo
Eyvind Niklasson
A. Mordvintsev
22
4
0
02 Jul 2020
Don't Wait, Just Weight: Improving Unsupervised Representations by
  Learning Goal-Driven Instance Weights
Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights
Linus Ericsson
Henry Gouk
Timothy M. Hospedales
SSL
14
0
0
22 Jun 2020
On the Theory of Transfer Learning: The Importance of Task Diversity
On the Theory of Transfer Learning: The Importance of Task Diversity
Nilesh Tripuraneni
Michael I. Jordan
Chi Jin
27
216
0
20 Jun 2020
FISAR: Forward Invariant Safe Reinforcement Learning with a Deep Neural
  Network-Based Optimize
FISAR: Forward Invariant Safe Reinforcement Learning with a Deep Neural Network-Based Optimize
Chuangchuang Sun
Dong-Ki Kim
Jonathan P. How
19
7
0
19 Jun 2020
MetaSDF: Meta-learning Signed Distance Functions
MetaSDF: Meta-learning Signed Distance Functions
Vincent Sitzmann
E. R. Chan
Richard Tucker
Noah Snavely
Gordon Wetzstein
33
247
0
17 Jun 2020
Flexible Dataset Distillation: Learn Labels Instead of Images
Flexible Dataset Distillation: Learn Labels Instead of Images
Ondrej Bohdal
Yongxin Yang
Timothy M. Hospedales
DD
21
109
0
15 Jun 2020
Attentive Feature Reuse for Multi Task Meta learning
Attentive Feature Reuse for Multi Task Meta learning
Kiran Lekkala
Laurent Itti
OOD
19
7
0
12 Jun 2020
Task-similarity Aware Meta-learning through Nonparametric Kernel
  Regression
Task-similarity Aware Meta-learning through Nonparametric Kernel Regression
Arun Venkitaraman
Anders Hansson
B. Wahlberg
25
8
0
12 Jun 2020
Multi-step Estimation for Gradient-based Meta-learning
Multi-step Estimation for Gradient-based Meta-learning
Jin-Hwa Kim
Junyoung Park
Yongseok Choi
22
1
0
08 Jun 2020
Joint learning of variational representations and solvers for inverse
  problems with partially-observed data
Joint learning of variational representations and solvers for inverse problems with partially-observed data
Ronan Fablet
Lucas Drumetz
F. Rousseau
8
18
0
05 Jun 2020
DREAM Architecture: a Developmental Approach to Open-Ended Learning in
  Robotics
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics
Stéphane Doncieux
Nicolas Bredèche
L. L. Goff
Benoît Girard
Alexandre Coninx
...
Natalia Díaz Rodríguez
David Filliat
Timothy M. Hospedales
A. E. Eiben
Richard J. Duro
19
19
0
13 May 2020
Meta-Transfer Learning for Code-Switched Speech Recognition
Meta-Transfer Learning for Code-Switched Speech Recognition
Genta Indra Winata
Samuel Cahyawijaya
Zhaojiang Lin
Zihan Liu
Peng Xu
Pascale Fung
46
55
0
29 Apr 2020
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
262
656
0
23 Mar 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
30
46
0
11 Mar 2020
Learning State-Dependent Losses for Inverse Dynamics Learning
Learning State-Dependent Losses for Inverse Dynamics Learning
Kristen Morse
Neha Das
Yixin Lin
Austin S. Wang
Akshara Rai
Franziska Meier
AI4CE
19
6
0
10 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
71
89
0
06 Mar 2020
PAC-Bayes meta-learning with implicit task-specific posteriors
PAC-Bayes meta-learning with implicit task-specific posteriors
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
BDL
39
7
0
05 Mar 2020
Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures
Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures
Alexander Luedtke
Incheoul Chung
Oleg Sofrygin
4
4
0
26 Feb 2020
Towards explainable meta-learning
Towards explainable meta-learning
Katarzyna Wo'znica
P. Biecek
22
4
0
11 Feb 2020
Perception and Navigation in Autonomous Systems in the Era of Learning:
  A Survey
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey
Yang Tang
Chaoqiang Zhao
Jianrui Wang
Chongzhen Zhang
Qiyu Sun
Weixing Zheng
W. Du
Feng Qian
Jürgen Kurths
18
65
0
08 Jan 2020
Pyramid Convolutional RNN for MRI Image Reconstruction
Pyramid Convolutional RNN for MRI Image Reconstruction
Eric Z. Chen
Puyang Wang
Xiao Chen
Terrence Chen
Shanhui Sun
13
41
0
02 Dec 2019
Meta-Learning of Neural Architectures for Few-Shot Learning
Meta-Learning of Neural Architectures for Few-Shot Learning
T. Elsken
B. Staffler
J. H. Metzen
Frank Hutter
20
136
0
25 Nov 2019
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
204
631
0
17 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
186
640
0
19 Sep 2019
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
110
717
0
13 Jun 2018
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
219
498
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
176
666
0
07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
374
11,700
0
09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization
Forward and Reverse Gradient-Based Hyperparameter Optimization
Luca Franceschi
Michele Donini
P. Frasconi
Massimiliano Pontil
133
409
0
06 Mar 2017
An Introduction to Deep Learning for the Physical Layer
An Introduction to Deep Learning for the Physical Layer
Tim O'Shea
J. Hoydis
AI4CE
89
2,172
0
02 Feb 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,327
0
05 Nov 2016
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