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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"

50 / 131 papers shown
Pre-training Text Representations as Meta Learning
Pre-training Text Representations as Meta Learning
Shangwen Lv
Yuechen Wang
Daya Guo
Duyu Tang
Nan Duan
...
Ryan Ma
Daxin Jiang
Guihong Cao
Ming Zhou
Songlin Hu
AIMatSSLAI4CE
103
10
0
12 Apr 2020
Training few-shot classification via the perspective of minibatch and
  pretraining
Training few-shot classification via the perspective of minibatch and pretrainingCAAI International Conference on Artificial Intelligence (ICCAI), 2020
Meiyu Huang
Xueshuang Xiang
Yao Xu
VLM
93
2
0
10 Apr 2020
Revisiting Few-shot Activity Detection with Class Similarity Control
Revisiting Few-shot Activity Detection with Class Similarity Control
Huijuan Xu
Ximeng Sun
Eric Tzeng
Abir Das
Kate Saenko
Trevor Darrell
172
8
0
31 Mar 2020
DPGN: Distribution Propagation Graph Network for Few-shot Learning
DPGN: Distribution Propagation Graph Network for Few-shot LearningComputer Vision and Pattern Recognition (CVPR), 2020
Ling Yang
Liang Li
Zilun Zhang
Xinyu Zhou
Erjin Zhou
Yu Liu
237
229
0
31 Mar 2020
Instance Credibility Inference for Few-Shot Learning
Instance Credibility Inference for Few-Shot LearningComputer Vision and Pattern Recognition (CVPR), 2020
Yikai Wang
C. Xu
Chen Liu
Li Zhang
Yanwei Fu
190
184
0
26 Mar 2020
Incremental Object Detection via Meta-Learning
Incremental Object Detection via Meta-LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
K. J. Joseph
Jathushan Rajasegaran
Salman Khan
Fahad Shahbaz Khan
V. Balasubramanian
ObjDCLLVLM
392
122
0
17 Mar 2020
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement
  Learning
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2020
Haozhe Jasper Wang
Jiale Zhou
Xuming He
OffRLLRM
167
18
0
03 Mar 2020
Few-Shot Few-Shot Learning and the role of Spatial Attention
Few-Shot Few-Shot Learning and the role of Spatial AttentionInternational Conference on Pattern Recognition (ICPR), 2020
Yann Lifchitz
Yannis Avrithis
Sylvaine Picard
SSL
153
146
0
18 Feb 2020
Deep Learning for Source Code Modeling and Generation: Models,
  Applications and Challenges
Deep Learning for Source Code Modeling and Generation: Models, Applications and ChallengesACM Computing Surveys (ACM CSUR), 2020
T. H. Le
Hao Chen
Muhammad Ali Babar
VLM
253
173
0
13 Feb 2020
Towards Intelligent Pick and Place Assembly of Individualized Products
  Using Reinforcement Learning
Towards Intelligent Pick and Place Assembly of Individualized Products Using Reinforcement Learning
Caterina Neef
Dario Luipers
J. Bollenbacher
Christian Gebel
A. Richert
100
4
0
11 Feb 2020
Meta-Graph: Few Shot Link Prediction via Meta Learning
Meta-Graph: Few Shot Link Prediction via Meta Learning
A. Bose
Ankit Jain
Piero Molino
William L. Hamilton
160
71
0
20 Dec 2019
Unsupervised Few-shot Learning via Self-supervised Training
Unsupervised Few-shot Learning via Self-supervised Training
Zilong Ji
Xiaolong Zou
Tiejun Huang
Si Wu
SSL
124
27
0
20 Dec 2019
Associative Alignment for Few-shot Image Classification
Associative Alignment for Few-shot Image ClassificationEuropean Conference on Computer Vision (ECCV), 2019
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
223
166
0
11 Dec 2019
Zero-shot Text Classification With Generative Language Models
Zero-shot Text Classification With Generative Language Models
Raul Puri
Bryan Catanzaro
VLM
166
116
0
10 Dec 2019
Improved Few-Shot Visual Classification
Improved Few-Shot Visual ClassificationComputer Vision and Pattern Recognition (CVPR), 2019
Peyman Bateni
Raghav Goyal
Vaden Masrani
Frank Wood
Leonid Sigal
VLM
345
261
0
07 Dec 2019
MetalGAN: Multi-Domain Label-Less Image Synthesis Using cGANs and
  Meta-Learning
MetalGAN: Multi-Domain Label-Less Image Synthesis Using cGANs and Meta-LearningNeural Networks (NN), 2019
Tomaso Fontanini
Eleonora Iotti
Luca Donati
Andrea Prati
GANAI4CE
316
26
0
05 Dec 2019
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot
  Classification
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot ClassificationPattern Recognition Letters (PR), 2019
Sivan Doveh
Eli Schwartz
Chao Xue
Rogerio Feris
A. Bronstein
Raja Giryes
Leonid Karlinsky
261
17
0
01 Dec 2019
Which Channel to Ask My Question? Personalized Customer Service Request
  Stream Routing using Deep Reinforcement Learning
Which Channel to Ask My Question? Personalized Customer Service Request Stream Routing using Deep Reinforcement LearningIEEE Access (IEEE Access), 2019
Zining Liu
Chong Long
Xiaolu Lu
Zehong Hu
Jie Zhang
Yafang Wang
109
12
0
24 Nov 2019
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On
  Transformations Co-Occurring In Data
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In DataInternational Conference on Learning Representations (ICLR), 2019
David W. Romero
Mark Hoogendoorn
161
24
0
18 Nov 2019
Unsupervised Reinforcement Learning of Transferable Meta-Skills for
  Embodied Navigation
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied NavigationComputer Vision and Pattern Recognition (CVPR), 2019
Juncheng Li
Xinze Wang
Siliang Tang
Haizhou Shi
Leilei Gan
Yueting Zhuang
William Yang Wang
SSL
316
79
0
18 Nov 2019
Six Degree-of-Freedom Body-Fixed Hovering over Unmapped Asteroids via
  LIDAR Altimetry and Reinforcement Meta-Learning
Six Degree-of-Freedom Body-Fixed Hovering over Unmapped Asteroids via LIDAR Altimetry and Reinforcement Meta-Learning
B. Gaudet
R. Linares
R. Furfaro
78
2
0
16 Nov 2019
Self-Supervised Learning For Few-Shot Image Classification
Self-Supervised Learning For Few-Shot Image ClassificationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Da Chen
YueFeng Chen
Yuhong Li
Feng Mao
Yuan He
Hui Xue
SSL
398
126
0
14 Nov 2019
Penalty Method for Inversion-Free Deep Bilevel Optimization
Penalty Method for Inversion-Free Deep Bilevel OptimizationAsian Conference on Machine Learning (ACML), 2019
Akshay Mehra
Jihun Hamm
839
52
0
08 Nov 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta
  Reinforcement Learning
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement LearningConference on Robot Learning (CoRL), 2019
Tianhe Yu
Deirdre Quillen
Zhanpeng He
Ryan Julian
Avnish Narayan
Hayden Shively
Adithya Bellathur
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
710
1,432
0
24 Oct 2019
Bottom-Up Meta-Policy Search
Bottom-Up Meta-Policy Search
Luckeciano C. Melo
Marcos R. O. A. Máximo
A. Cunha
126
6
0
22 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-LearningInternational Conference on Learning Representations (ICLR), 2019
L. Zintgraf
K. Shiarlis
Maximilian Igl
Sebastian Schulze
Y. Gal
Katja Hofmann
Shimon Whiteson
OffRL
347
304
0
18 Oct 2019
Solving Rubik's Cube with a Robot Hand
Solving Rubik's Cube with a Robot Hand
OpenAI
Ilge Akkaya
Marcin Andrychowicz
Maciek Chociej
Ma-teusz Litwin
...
Peter Welinder
Lilian Weng
Qiming Yuan
Wojciech Zaremba
Lei Zhang
ODL
473
1,375
0
16 Oct 2019
Improving Generalization in Meta Reinforcement Learning using Learned
  Objectives
Improving Generalization in Meta Reinforcement Learning using Learned ObjectivesInternational Conference on Learning Representations (ICLR), 2019
Louis Kirsch
Sjoerd van Steenkiste
Jürgen Schmidhuber
OffRL
275
127
0
09 Oct 2019
RLBench: The Robot Learning Benchmark & Learning Environment
RLBench: The Robot Learning Benchmark & Learning EnvironmentIEEE Robotics and Automation Letters (RA-L), 2019
Stephen James
Z. Ma
David Rovick Arrojo
Andrew J. Davison
SSLVLMOffRL
296
764
0
26 Sep 2019
Decoder Choice Network for Meta-Learning
Decoder Choice Network for Meta-LearningIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2019
Jialin Liu
Jiayi Ji
Longzhi Yang
Chih-Min Lin
Q. Shen
109
10
0
25 Sep 2019
WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal
  Representation of Highly Multivariate Time Series
WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series
Jinho Lee
Seokho Yi
Jaewoo Kang
AI4TS
88
13
0
24 Sep 2019
MetalGAN: a Cluster-based Adaptive Training for Few-Shot Adversarial
  Colorization
MetalGAN: a Cluster-based Adaptive Training for Few-Shot Adversarial ColorizationInternational Conference on Image Analysis and Processing (ICIAP), 2019
Tomaso Fontanini
Eleonora Iotti
Andrea Prati
GAN
167
4
0
17 Sep 2019
Meta-Learning with Implicit Gradients
Meta-Learning with Implicit GradientsNeural Information Processing Systems (NeurIPS), 2019
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
465
945
0
10 Sep 2019
Efficient Automatic Meta Optimization Search for Few-Shot Learning
Efficient Automatic Meta Optimization Search for Few-Shot LearningChinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2019
Xinyue Zheng
Xuanjing Huang
Qigang Wang
Peng Wang
Feiyu Xu
74
0
0
06 Sep 2019
Meta Learning for Task-Driven Video Summarization
Meta Learning for Task-Driven Video Summarization
Xuelong Li
Hongli Li
Yongsheng Dong
97
22
0
29 Jul 2019
Efficient Exploration via State Marginal Matching
Efficient Exploration via State Marginal Matching
Lisa Lee
Benjamin Eysenbach
Emilio Parisotto
Eric Xing
Sergey Levine
Ruslan Salakhutdinov
346
267
0
12 Jun 2019
Progressive Cluster Purification for Transductive Few-shot Learning
Progressive Cluster Purification for Transductive Few-shot Learning
Chenyang Si
Wentao Chen
Wei Wang
Liang Wang
Tieniu Tan
VLM
83
1
0
10 Jun 2019
Learning to Transfer: Unsupervised Meta Domain Translation
Learning to Transfer: Unsupervised Meta Domain Translation
Jianxin Lin
Yijun Wang
Tianyu He
Zhibo Chen
164
8
0
01 Jun 2019
Discrete Infomax Codes for Supervised Representation Learning
Discrete Infomax Codes for Supervised Representation LearningEntropy (Entropy), 2019
Yoonho Lee
Wonjae Kim
Wonpyo Park
Seungjin Choi
237
4
0
28 May 2019
Learning to learn via Self-Critique
Learning to learn via Self-Critique
Antreas Antoniou
Amos Storkey
SSL
290
17
0
24 May 2019
Meta Reinforcement Learning with Task Embedding and Shared Policy
Meta Reinforcement Learning with Task Embedding and Shared PolicyInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Lin Lan
Zhenguo Li
X. Guan
Peijie Wang
OffRL
289
52
0
16 May 2019
Meta-Learning for Low-resource Natural Language Generation in
  Task-oriented Dialogue Systems
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue SystemsInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Fei Mi
Shiyu Huang
Jiyong Zhang
Boi Faltings
154
101
0
14 May 2019
Meta-learners' learning dynamics are unlike learners'
Meta-learners' learning dynamics are unlike learners'
Neil C. Rabinowitz
OffRL
206
16
0
03 May 2019
Hyperbolic Image Embeddings
Hyperbolic Image Embeddings
Valentin Khrulkov
L. Mirvakhabova
E. Ustinova
Ivan Oseledets
Victor Lempitsky
244
354
0
03 Apr 2019
Learning from Adversarial Features for Few-Shot Classification
Learning from Adversarial Features for Few-Shot Classification
Wei Shen
Ziqiang Shi
Jun Sun
91
10
0
25 Mar 2019
Dense Classification and Implanting for Few-Shot Learning
Dense Classification and Implanting for Few-Shot Learning
Yann Lifchitz
Yannis Avrithis
Sylvaine Picard
Andrei Bursuc
VLM
184
202
0
12 Mar 2019
Alignment Based Matching Networks for One-Shot Classification and
  Open-Set Recognition
Alignment Based Matching Networks for One-Shot Classification and Open-Set Recognition
Paresh Malalur
Tommi Jaakkola
ObjDVLM
83
0
0
11 Mar 2019
Online Meta-Learning
Online Meta-Learning
Chelsea Finn
Aravind Rajeswaran
Sham Kakade
Sergey Levine
CLL
357
296
0
22 Feb 2019
Episodic Training for Domain Generalization
Episodic Training for Domain GeneralizationIEEE International Conference on Computer Vision (ICCV), 2019
Da Li
Jianshu Zhang
Yongxin Yang
Cong Liu
Yi-Zhe Song
Timothy M. Hospedales
OOD
440
476
0
31 Jan 2019
Mid-Level Visual Representations Improve Generalization and Sample
  Efficiency for Learning Visuomotor Policies
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies
Alexander Sax
Bradley Emi
Amir Zamir
Leonidas Guibas
Silvio Savarese
Jitendra Malik
SSL
212
16
0
31 Dec 2018
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