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A Simple Neural Attentive Meta-Learner
v1v2v3 (latest)

A Simple Neural Attentive Meta-Learner

11 July 2017
Nikhil Mishra
Mostafa Rohaninejad
Xi Chen
Pieter Abbeel
    OOD
ArXiv (abs)PDFHTML

Papers citing "A Simple Neural Attentive Meta-Learner"

31 / 131 papers shown
Similarity R-C3D for Few-shot Temporal Activity Detection
Similarity R-C3D for Few-shot Temporal Activity Detection
Huijuan Xu
Bingyi Kang
Ximeng Sun
Jiashi Feng
Kate Saenko
Trevor Darrell
169
11
0
25 Dec 2018
Guiding Policies with Language via Meta-Learning
Guiding Policies with Language via Meta-LearningInternational Conference on Learning Representations (ICLR), 2018
John D. Co-Reyes
Abhishek Gupta
Suvansh Sanjeev
Nick Altieri
Jacob Andreas
John DeNero
Pieter Abbeel
Sergey Levine
LM&Ro
178
67
0
19 Nov 2018
Concept Learning through Deep Reinforcement Learning with
  Memory-Augmented Neural Networks
Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural Networks
Jing Shi
Jiaming Xu
Yiqun Yao
Bo Xu
143
27
0
15 Nov 2018
Learning and Planning with a Semantic Model
Learning and Planning with a Semantic Model
Yi Wu
Yuxin Wu
Aviv Tamar
Stuart J. Russell
Georgia Gkioxari
Yuandong Tian
152
17
0
28 Sep 2018
Meta-Learning for Low-Resource Neural Machine Translation
Meta-Learning for Low-Resource Neural Machine Translation
Jiatao Gu
Yong Wang
Yun Chen
Dong Wang
Victor O.K. Li
284
357
0
25 Aug 2018
Learning to Support: Exploiting Structure Information in Support Sets
  for One-Shot Learning
Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning
Jinchao Liu
S. Gibson
Margarita Osadchy
88
8
0
22 Aug 2018
Improving Generalization via Scalable Neighborhood Component Analysis
Improving Generalization via Scalable Neighborhood Component Analysis
Zhirong Wu
Alexei A. Efros
Stella X. Yu
BDL
168
152
0
14 Aug 2018
Few Shot Learning with Simplex
Bowen Zhang
Xifan Zhang
Fan Cheng
Deli Zhao
96
1
0
27 Jul 2018
Metalearning with Hebbian Fast Weights
Metalearning with Hebbian Fast Weights
Tsendsuren Munkhdalai
Adam Trischler
VLMFedML
165
42
0
12 Jul 2018
RepMet: Representative-based metric learning for classification and
  one-shot object detection
RepMet: Representative-based metric learning for classification and one-shot object detection
Leonid Karlinsky
J. Shtok
Sivan Harary
Eli Schwartz
Mattias Marder
Rogerio Feris
Raja Giryes
A. Bronstein
VLMObjD
509
340
0
12 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
UQCVBDL
620
530
0
11 Jun 2018
On the Importance of Attention in Meta-Learning for Few-Shot Text
  Classification
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification
Xiang Jiang
Mohammad Havaei
Gabriel Chartrand
Hassan Chouaib
Thomas Vincent
Andrew Jesson
Nicolas Chapados
Stan Matwin
VLM
106
20
0
03 Jun 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning
Kelvin Xu
Ellis Ratner
Anca Dragan
Sergey Levine
Chelsea Finn
318
67
0
31 May 2018
AgileNet: Lightweight Dictionary-based Few-shot Learning
AgileNet: Lightweight Dictionary-based Few-shot Learning
M. Ghasemzadeh
Fang Lin
B. Rouhani
F. Koushanfar
Ke Huang
104
7
0
21 May 2018
Dynamic Few-Shot Visual Learning without Forgetting
Dynamic Few-Shot Visual Learning without Forgetting
Spyros Gidaris
N. Komodakis
VLM
496
1,185
0
25 Apr 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL
Gotta Learn Fast: A New Benchmark for Generalization in RL
Alex Nichol
Vicki Pfau
Christopher Hesse
Oleg Klimov
John Schulman
VLMOffRL
188
183
0
10 Apr 2018
Meta-Learning Update Rules for Unsupervised Representation Learning
Meta-Learning Update Rules for Unsupervised Representation Learning
Luke Metz
Niru Maheswaranathan
Brian Cheung
Jascha Narain Sohl-Dickstein
SSLOOD
280
127
0
31 Mar 2018
Meta-Learning for Semi-Supervised Few-Shot Classification
Meta-Learning for Semi-Supervised Few-Shot ClassificationInternational Conference on Learning Representations (ICLR), 2018
Mengye Ren
Eleni Triantafillou
S. S. Ravi
Jake C. Snell
Kevin Swersky
J. Tenenbaum
Hugo Larochelle
R. Zemel
SSL
305
1,394
0
02 Mar 2018
Meta-Reinforcement Learning of Structured Exploration Strategies
Meta-Reinforcement Learning of Structured Exploration Strategies
Abhishek Gupta
Russell Mendonca
YuXuan Liu
Pieter Abbeel
Sergey Levine
OffRL
281
370
0
20 Feb 2018
Evolved Policy Gradients
Evolved Policy Gradients
Rein Houthooft
Richard Y. Chen
Phillip Isola
Bradly C. Stadie
Filip Wolski
Jonathan Ho
Pieter Abbeel
425
235
0
13 Feb 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
Erin Grant
Chelsea Finn
Sergey Levine
Trevor Darrell
Thomas Griffiths
BDL
279
537
0
26 Jan 2018
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace
Yoonho Lee
Seungjin Choi
169
27
0
17 Jan 2018
Rapid Adaptation with Conditionally Shifted Neurons
Rapid Adaptation with Conditionally Shifted Neurons
Tsendsuren Munkhdalai
Xingdi Yuan
Soroush Mehri
Adam Trischler
201
13
0
28 Dec 2017
A Bridge Between Hyperparameter Optimization and Learning-to-learn
A Bridge Between Hyperparameter Optimization and Learning-to-learn
Luca Franceschi
Michele Donini
P. Frasconi
Massimiliano Pontil
199
21
0
18 Dec 2017
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Juil Sock
Timothy M. Hospedales
1.4K
4,478
0
16 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
368
1,330
0
10 Nov 2017
Learning Markov Chain in Unordered Dataset
Learning Markov Chain in Unordered Dataset
Yifan Hao
Haiying Zhao
Ruslan Salakhutdinov
Nebojsa Jojic
CML
167
1
0
08 Nov 2017
Meta-Learning and Universality: Deep Representations and Gradient
  Descent can Approximate any Learning Algorithm
Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm
Chelsea Finn
Sergey Levine
SSL
292
231
0
31 Oct 2017
Meta Learning Shared Hierarchies
Meta Learning Shared HierarchiesInternational Conference on Learning Representations (ICLR), 2017
Kevin Frans
Jonathan Ho
Xi Chen
Pieter Abbeel
John Schulman
202
372
0
26 Oct 2017
Gaussian Prototypical Networks for Few-Shot Learning on Omniglot
Gaussian Prototypical Networks for Few-Shot Learning on Omniglot
Stanislav Fort
109
89
0
09 Aug 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Zhenguo Li
Fengwei Zhou
Fei Chen
Hang Li
369
1,213
0
31 Jul 2017
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