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Meta Networks

Meta Networks

2 March 2017
Tsendsuren Munkhdalai
Hong-ye Yu
    GNN
    AI4CE
ArXivPDFHTML

Papers citing "Meta Networks"

42 / 192 papers shown
Title
Optimizing quantum heuristics with meta-learning
Optimizing quantum heuristics with meta-learning
M. Wilson
Rachel Stromswold
Filip Wudarski
Stuart Hadfield
N. Tubman
E. Rieffel
17
75
0
08 Aug 2019
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
Qi Fan
Wei Zhuo
Chi-Keung Tang
Yu-Wing Tai
ObjD
27
525
0
06 Aug 2019
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
OOD
BDL
UQCV
19
54
0
27 Jul 2019
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot
  Action Recognition
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition
M. Bishay
Georgios Zoumpourlis
Ioannis Patras
ViT
27
155
0
21 Jul 2019
Revisiting Metric Learning for Few-Shot Image Classification
Revisiting Metric Learning for Few-Shot Image Classification
Xiaomeng Li
Lequan Yu
Chi-Wing Fu
Meng Fang
Pheng-Ann Heng
VLM
24
93
0
06 Jul 2019
Few-Shot Video Classification via Temporal Alignment
Few-Shot Video Classification via Temporal Alignment
Kaidi Cao
Jingwei Ji
Zhangjie Cao
C. Chang
Juan Carlos Niebles
AI4TS
27
235
0
27 Jun 2019
Multi-Level Matching and Aggregation Network for Few-Shot Relation
  Classification
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification
Zhiquan Ye
Zhenhua Ling
27
134
0
16 Jun 2019
Learning to Forget for Meta-Learning
Learning to Forget for Meta-Learning
Sungyong Baik
Seokil Hong
Kyoung Mu Lee
CLL
KELM
22
87
0
13 Jun 2019
Boosting Few-Shot Visual Learning with Self-Supervision
Boosting Few-Shot Visual Learning with Self-Supervision
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
22
400
0
12 Jun 2019
Sequential Scenario-Specific Meta Learner for Online Recommendation
Sequential Scenario-Specific Meta Learner for Online Recommendation
Zhengxiao Du
Xiaowei Wang
Hongxia Yang
Jingren Zhou
Jie Tang
OffRL
LRM
CLL
33
115
0
02 Jun 2019
Image Deformation Meta-Networks for One-Shot Learning
Image Deformation Meta-Networks for One-Shot Learning
Z. Chen
Yanwei Fu
Yu-xiong Wang
Lin Ma
Wei Liu
M. Hebert
15
217
0
28 May 2019
Learning to learn via Self-Critique
Learning to learn via Self-Critique
Antreas Antoniou
Amos Storkey
SSL
23
17
0
24 May 2019
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
Huaiyu Li
Weiming Dong
Xing Mei
Chongyang Ma
Feiyue Huang
Bao-Gang Hu
OffRL
32
98
0
15 May 2019
Hierarchically Structured Meta-learning
Hierarchically Structured Meta-learning
Huaxiu Yao
Ying Wei
Junzhou Huang
Z. Li
30
203
0
13 May 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
BDL
38
128
0
17 Apr 2019
Large-Scale Long-Tailed Recognition in an Open World
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
45
1,135
0
10 Apr 2019
Few-Shot Learning with Localization in Realistic Settings
Few-Shot Learning with Localization in Realistic Settings
Davis Wertheimer
Bharath Hariharan
19
140
0
09 Apr 2019
A Closer Look at Few-shot Classification
A Closer Look at Few-shot Classification
Wei-Yu Chen
Yen-Cheng Liu
Z. Kira
Y. Wang
Jia-Bin Huang
51
1,754
0
08 Apr 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few
  Examples
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Eleni Triantafillou
Tyler Lixuan Zhu
Vincent Dumoulin
Pascal Lamblin
Utku Evci
...
Ross Goroshin
Carles Gelada
Kevin Swersky
Pierre-Antoine Manzagol
Hugo Larochelle
51
612
0
07 Mar 2019
Induction Networks for Few-Shot Text Classification
Induction Networks for Few-Shot Text Classification
Ruiying Geng
Binhua Li
Yongbin Li
Xiao-Dan Zhu
Ping Jian
Jian Sun
17
184
0
27 Feb 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based
  memory module
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
Tiago Ramalho
M. Garnelo
BDL
33
77
0
07 Feb 2019
Few-shot Learning with Meta Metric Learners
Few-shot Learning with Meta Metric Learners
Yu Cheng
Mo Yu
Xiaoxiao Guo
Bowen Zhou
30
19
0
26 Jan 2019
Deep Online Learning via Meta-Learning: Continual Adaptation for
  Model-Based RL
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
Anusha Nagabandi
Chelsea Finn
Sergey Levine
OffRL
CLL
14
192
0
18 Dec 2018
Toward Multimodal Model-Agnostic Meta-Learning
Toward Multimodal Model-Agnostic Meta-Learning
Risto Vuorio
Shao-Hua Sun
Hexiang Hu
Joseph J. Lim
55
31
0
18 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
75
1,060
0
06 Dec 2018
One-Shot Instance Segmentation
One-Shot Instance Segmentation
Claudio Michaelis
Ivan Ustyuzhaninov
Matthias Bethge
Alexander S. Ecker
ISeg
37
89
0
28 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
36
24
0
15 Nov 2018
FewRel: A Large-Scale Supervised Few-Shot Relation Classification
  Dataset with State-of-the-Art Evaluation
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
Xu Han
Hao Zhu
Pengfei Yu
Ziyun Wang
Yuan Yao
Zhiyuan Liu
Maosong Sun
SLR
19
602
0
24 Oct 2018
Unsupervised Learning via Meta-Learning
Unsupervised Learning via Meta-Learning
Kyle Hsu
Sergey Levine
Chelsea Finn
SSL
OffRL
31
229
0
04 Oct 2018
Few-Shot Goal Inference for Visuomotor Learning and Planning
Few-Shot Goal Inference for Visuomotor Learning and Planning
Annie Xie
Avi Singh
Sergey Levine
Chelsea Finn
OffRL
40
71
0
30 Sep 2018
Saliency for Fine-grained Object Recognition in Domains with Scarce
  Training Data
Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data
Carola Figueroa Flores
Abel Gonzalez-Garcia
Joost van de Weijer
Bogdan Raducanu
27
50
0
01 Aug 2018
Large Margin Few-Shot Learning
Large Margin Few-Shot Learning
Yong Wang
Xiao-Ming Wu
Qimai Li
Jiatao Gu
Wangmeng Xiang
Lei Zhang
V. Li
MQ
29
29
0
08 Jul 2018
Unsupervised Meta-Learning for Reinforcement Learning
Unsupervised Meta-Learning for Reinforcement Learning
Abhishek Gupta
Benjamin Eysenbach
Chelsea Finn
Sergey Levine
SSL
OffRL
54
106
0
12 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
14
18
0
03 Jun 2018
Task-Agnostic Meta-Learning for Few-shot Learning
Task-Agnostic Meta-Learning for Few-shot Learning
Muhammad Abdullah Jamal
Guo-Jun Qi
M. Shah
52
456
0
20 May 2018
Memory-based Parameter Adaptation
Memory-based Parameter Adaptation
Pablo Sprechmann
Siddhant M. Jayakumar
Jack W. Rae
Alexander Pritzel
Adria Puigdomenech Badia
Benigno Uria
Oriol Vinyals
Demis Hassabis
Razvan Pascanu
Charles Blundell
ODL
OOD
VLM
16
101
0
28 Feb 2018
Federated Meta-Learning with Fast Convergence and Efficient
  Communication
Federated Meta-Learning with Fast Convergence and Efficient Communication
Fei Chen
Mi Luo
Zhenhua Dong
Zhenguo Li
Xiuqiang He
FedML
34
388
0
22 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
26
505
0
26 Jan 2018
Rapid Adaptation with Conditionally Shifted Neurons
Rapid Adaptation with Conditionally Shifted Neurons
Tsendsuren Munkhdalai
Xingdi Yuan
Soroush Mehri
Adam Trischler
21
13
0
28 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
Philip Torr
Timothy M. Hospedales
92
4,017
0
16 Nov 2017
Deeper, Broader and Artier Domain Generalization
Deeper, Broader and Artier Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
59
1,414
0
09 Oct 2017
Neural Semantic Encoders
Neural Semantic Encoders
Tsendsuren Munkhdalai
Hong-ye Yu
222
131
0
14 Jul 2016
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