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1606.04080
Cited By
Matching Networks for One Shot Learning
13 June 2016
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
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Papers citing
"Matching Networks for One Shot Learning"
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Title
Marrying up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding
Bingfeng Luo
Yansong Feng
Zheng Wang
Songfang Huang
Rui Yan
Dongyan Zhao
11
39
0
15 May 2018
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples
Xiu-Shen Wei
Peng Wang
Lingqiao Liu
Chunhua Shen
Jianxin Wu
19
124
0
11 May 2018
Towards a universal neural network encoder for time series
Joan Serrà
Santiago Pascual
Alexandros Karatzoglou
AI4TS
32
119
0
10 May 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
32
3,408
0
05 May 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL
Alex Nichol
Vicki Pfau
Christopher Hesse
Oleg Klimov
John Schulman
VLM
OffRL
15
177
0
10 Apr 2018
The Kanerva Machine: A Generative Distributed Memory
Yan Wu
Greg Wayne
Alex Graves
Timothy Lillicrap
VLM
SyDa
17
38
0
05 Apr 2018
Fast Parametric Learning with Activation Memorization
Jack W. Rae
Chris Dyer
Peter Dayan
Timothy Lillicrap
KELM
27
46
0
27 Mar 2018
Large Margin Deep Networks for Classification
Gamaleldin F. Elsayed
Dilip Krishnan
H. Mobahi
Kevin Regan
Samy Bengio
MQ
20
281
0
15 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang
P. Patras
Hamed Haddadi
36
1,303
0
12 Mar 2018
Cross-domain Recommendation via Deep Domain Adaptation
Heishiro Kanagawa
Hayato Kobayashi
N. Shimizu
Yukihiro Tagami
Taiji Suzuki
21
92
0
08 Mar 2018
On First-Order Meta-Learning Algorithms
Alex Nichol
Joshua Achiam
John Schulman
22
2,213
0
08 Mar 2018
LSTD: A Low-Shot Transfer Detector for Object Detection
Hao Chen
Yali Wang
Guoyou Wang
Yu Qiao
ObjD
25
337
0
05 Mar 2018
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
BRUNO: A Deep Recurrent Model for Exchangeable Data
I. Korshunova
Jonas Degrave
Ferenc Huszár
Y. Gal
A. Gretton
J. Dambre
BDL
24
33
0
21 Feb 2018
Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing
Somnath Basu Roy Chowdhury
K. Annervaz
Ambedkar Dukkipati
20
10
0
16 Feb 2018
Putting a bug in ML: The moth olfactory network learns to read MNIST
Charles B. Delahunt
J. Nathan Kutz
16
31
0
15 Feb 2018
Few-Shot Learning with Metric-Agnostic Conditional Embeddings
Nathan Hilliard
Lawrence Phillips
Scott Howland
A. Yankov
Court D. Corley
Nathan Oken Hodas
SSL
31
158
0
12 Feb 2018
Few-shot learning of neural networks from scratch by pseudo example optimization
Akisato Kimura
Zoubin Ghahramani
Koh Takeuchi
Tomoharu Iwata
N. Ueda
27
52
0
08 Feb 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
Erin Grant
Chelsea Finn
Sergey Levine
Trevor Darrell
Thomas L. Griffiths
BDL
21
506
0
26 Jan 2018
A Computational Model of Commonsense Moral Decision Making
Richard Kim
Max Kleiman-Weiner
A. Abeliuk
E. Awad
Sohan Dsouza
J. Tenenbaum
Iyad Rahwan
20
56
0
12 Jan 2018
Deep Nearest Class Mean Model for Incremental Odor Classification
Yu Cheng
Kin-Yeung Wong
Kevin Hung
Zhizhong Li
Weitong Li
Jun Zhang
23
10
0
08 Jan 2018
Rapid Adaptation with Conditionally Shifted Neurons
Tsendsuren Munkhdalai
Xingdi Yuan
Soroush Mehri
Adam Trischler
21
13
0
28 Dec 2017
A Bridge Between Hyperparameter Optimization and Learning-to-learn
Luca Franceschi
Michele Donini
P. Frasconi
Massimiliano Pontil
27
20
0
18 Dec 2017
Label Efficient Learning of Transferable Representations across Domains and Tasks
Zelun Luo
Yuliang Zou
Judy Hoffman
Li Fei-Fei
37
275
0
30 Nov 2017
Learning to cluster in order to transfer across domains and tasks
Yen-Chang Hsu
Zhaoyang Lv
Z. Kira
OOD
29
216
0
28 Nov 2017
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip H. S. Torr
Timothy M. Hospedales
53
4,014
0
16 Nov 2017
Data Augmentation Generative Adversarial Networks
Antreas Antoniou
Amos Storkey
Harrison Edwards
MedIm
GAN
31
1,065
0
12 Nov 2017
Building machines that adapt and compute like brains
Brenden Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
254
890
0
11 Nov 2017
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions
Scott E. Reed
Yutian Chen
T. Paine
Aaron van den Oord
S. M. Ali Eslami
Danilo Jimenez Rezende
Oriol Vinyals
Nando de Freitas
38
88
0
27 Oct 2017
Recent Advances in Zero-shot Recognition
Yanwei Fu
Tao Xiang
Yu-Gang Jiang
Xiangyang Xue
Leonid Sigal
S. Gong
BDL
VLM
16
175
0
13 Oct 2017
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks
Danfei Xu
Suraj Nair
Yuke Zhu
J. Gao
Animesh Garg
Li Fei-Fei
Silvio Savarese
14
193
0
04 Oct 2017
Connectivity Learning in Multi-Branch Networks
Karim Ahmed
Lorenzo Torresani
21
26
0
27 Sep 2017
Few-Shot Image Recognition by Predicting Parameters from Activations
Siyuan Qiao
Chenxi Liu
Wei Shen
Alan Yuille
VLM
26
553
0
12 Jun 2017
Retrosynthetic reaction prediction using neural sequence-to-sequence models
Bowen Liu
Bharath Ramsundar
Prasad Kawthekar
Jade Shi
Joseph Gomes
Quang Luu Nguyen
Stephen Ho
Jack L. Sloane
P. Wender
Vijay S. Pande
20
411
0
06 Jun 2017
Discriminative k-shot learning using probabilistic models
Matthias Bauer
Mateo Rojas-Carulla
J. Swiatkowski
Bernhard Schölkopf
Richard Turner
VLM
18
71
0
01 Jun 2017
Contextual Explanation Networks
Maruan Al-Shedivat
Kumar Avinava Dubey
Eric P. Xing
CML
35
82
0
29 May 2017
Comparison of Maximum Likelihood and GAN-based training of Real NVPs
Ivo Danihelka
Balaji Lakshminarayanan
Benigno Uria
Daan Wierstra
Peter Dayan
GAN
24
53
0
15 May 2017
Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective
Jing Zhang
Wanqing Li
P. Ogunbona
Dong Xu
OOD
27
46
0
11 May 2017
End-to-end representation learning for Correlation Filter based tracking
Jack Valmadre
Luca Bertinetto
João F. Henriques
Andrea Vedaldi
Philip H. S. Torr
15
1,396
0
20 Apr 2017
Spatio-Temporal Facial Expression Recognition Using Convolutional Neural Networks and Conditional Random Fields
Behzad Hassani
Mohammad H. Mahoor
CVBM
19
86
0
20 Mar 2017
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
34
7,999
0
15 Mar 2017
Learning to Remember Rare Events
Lukasz Kaiser
Ofir Nachum
Aurko Roy
Samy Bengio
RALM
CLL
29
362
0
09 Mar 2017
Neural Episodic Control
Alexander Pritzel
Benigno Uria
Sriram Srinivasan
A. Badia
Oriol Vinyals
Demis Hassabis
Daan Wierstra
Charles Blundell
OffRL
BDL
17
344
0
06 Mar 2017
Attentive Recurrent Comparators
Pranav Shyam
Shubham Gupta
Ambedkar Dukkipati
VLM
14
108
0
02 Mar 2017
Active One-shot Learning
Mark P. Woodward
Chelsea Finn
VLM
OffRL
8
130
0
21 Feb 2017
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,502
0
25 Jan 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Dynamic Key-Value Memory Networks for Knowledge Tracing
Jiani Zhang
Xingjian Shi
Irwin King
Dit-Yan Yeung
AI4Ed
KELM
29
595
0
24 Nov 2016
RL
2
^2
2
: Fast Reinforcement Learning via Slow Reinforcement Learning
Yan Duan
John Schulman
Xi Chen
Peter L. Bartlett
Ilya Sutskever
Pieter Abbeel
OffRL
31
1,007
0
09 Nov 2016
Energy-based Generative Adversarial Network
J. Zhao
Michaël Mathieu
Yann LeCun
GAN
56
1,108
0
11 Sep 2016
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