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Matching Networks for One Shot Learning
v1v2 (latest)

Matching Networks for One Shot Learning

13 June 2016
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
    VLM
ArXiv (abs)PDFHTML

Papers citing "Matching Networks for One Shot Learning"

50 / 3,162 papers shown
Title
MatchingGAN: Matching-based Few-shot Image Generation
MatchingGAN: Matching-based Few-shot Image Generation
Y. Hong
Li Niu
Jianfu Zhang
Liqing Zhang
VLMGAN
110
68
0
07 Mar 2020
Lightweight Speaker Verification for Online Identification of New
  Speakers with Short Segments
Lightweight Speaker Verification for Online Identification of New Speakers with Short Segments
I. Vélez
C. Rascón
Gibran Fuentes Pineda
84
10
0
06 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
99
91
0
06 Mar 2020
Finding online neural update rules by learning to remember
Finding online neural update rules by learning to remember
Karol Gregor
CLL
78
6
0
06 Mar 2020
Zero-Shot Cross-Lingual Transfer with Meta Learning
Zero-Shot Cross-Lingual Transfer with Meta Learning
Farhad Nooralahzadeh
Giannis Bekoulis
Johannes Bjerva
Isabelle Augenstein
FedML
95
113
0
05 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
122
7
0
05 Mar 2020
Learning Fast Adaptation on Cross-Accented Speech Recognition
Learning Fast Adaptation on Cross-Accented Speech Recognition
Genta Indra Winata
Samuel Cahyawijaya
Zihan Liu
Zhaojiang Lin
Andrea Madotto
Peng Xu
Pascale Fung
103
80
0
04 Mar 2020
Meta Cyclical Annealing Schedule: A Simple Approach to Avoiding
  Meta-Amortization Error
Meta Cyclical Annealing Schedule: A Simple Approach to Avoiding Meta-Amortization Error
Yu-ichi Hayashi
Taiji Suzuki
18
0
0
04 Mar 2020
FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile
  Processors
FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors
Jie Liu
Jiawen Liu
Zhen Xie
Dong Li
107
5
0
03 Mar 2020
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement
  Learning
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning
Haozhe Jasper Wang
Jiale Zhou
Xuming He
OffRLLRM
81
15
0
03 Mar 2020
Weakly-supervised Object Localization for Few-shot Learning and
  Fine-grained Few-shot Learning
Weakly-supervised Object Localization for Few-shot Learning and Fine-grained Few-shot Learning
Xiaojian He
Jinfu Lin
Junming Shen
14
3
0
02 Mar 2020
Novelty-Prepared Few-Shot Classification
Novelty-Prepared Few-Shot Classification
Chao Wang
Ruofan Liu
Han-Jia Ye
Yang Yu
42
0
0
01 Mar 2020
Why is the Mahalanobis Distance Effective for Anomaly Detection?
Why is the Mahalanobis Distance Effective for Anomaly Detection?
Ryo Kamoi
Kei Kobayashi
OODD
203
60
0
01 Mar 2020
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning
Jianhong Zhang
Manli Zhang
Zhiwu Lu
Tao Xiang
Ji-Rong Wen
74
12
0
28 Feb 2020
Learning Representations by Predicting Bags of Visual Words
Learning Representations by Predicting Bags of Visual Words
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
116
118
0
27 Feb 2020
Meta-Transfer Learning for Zero-Shot Super-Resolution
Meta-Transfer Learning for Zero-Shot Super-Resolution
Jae Woong Soh
Sunwoo Cho
N. Cho
SupR
88
285
0
27 Feb 2020
Meta-Learned Confidence for Few-shot Learning
Meta-Learned Confidence for Few-shot Learning
Seong Min Kye
Haebeom Lee
Hoirin Kim
Sung Ju Hwang
59
23
0
27 Feb 2020
Using a thousand optimization tasks to learn hyperparameter search
  strategies
Using a thousand optimization tasks to learn hyperparameter search strategies
Luke Metz
Niru Maheswaranathan
Ruoxi Sun
C. Freeman
Ben Poole
Jascha Narain Sohl-Dickstein
119
46
0
27 Feb 2020
Representation Learning Through Latent Canonicalizations
Representation Learning Through Latent Canonicalizations
Or Litany
Ari S. Morcos
Srinath Sridhar
Leonidas Guibas
Judy Hoffman
SSLOODDRL
36
2
0
26 Feb 2020
Provable Meta-Learning of Linear Representations
Provable Meta-Learning of Linear Representations
Nilesh Tripuraneni
Chi Jin
Michael I. Jordan
OOD
158
192
0
26 Feb 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
32
4
0
26 Feb 2020
The Sample Complexity of Meta Sparse Regression
The Sample Complexity of Meta Sparse Regression
Zhanyu Wang
Jean Honorio
129
3
0
22 Feb 2020
Modelling Latent Skills for Multitask Language Generation
Modelling Latent Skills for Multitask Language Generation
Kris Cao
Dani Yogatama
39
3
0
21 Feb 2020
Memory-Based Graph Networks
Memory-Based Graph Networks
Amir Hosein Khas Ahmadi
Kaveh Hassani
Parsa Moradi
Leo Lee
Q. Morris
GNN
161
91
0
21 Feb 2020
Few-shot acoustic event detection via meta-learning
Few-shot acoustic event detection via meta-learning
Bowen Shi
Ming Sun
Krishna C. Puvvada
Chieh-Chi Kao
Spyros Matsoukas
Chao Wang
79
62
0
21 Feb 2020
Structured Prediction for Conditional Meta-Learning
Structured Prediction for Conditional Meta-Learning
Ruohan Wang
Y. Demiris
C. Ciliberto
CLL
70
6
0
20 Feb 2020
Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and
  Practice
Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice
Yabin Zhang
Bin Deng
Hui Tang
Lei Zhang
Kui Jia
AI4CE
63
75
0
20 Feb 2020
Using Hindsight to Anchor Past Knowledge in Continual Learning
Using Hindsight to Anchor Past Knowledge in Continual Learning
Arslan Chaudhry
Albert Gordo
P. Dokania
Philip Torr
David Lopez-Paz
KELMCLL
102
237
0
19 Feb 2020
Curriculum in Gradient-Based Meta-Reinforcement Learning
Curriculum in Gradient-Based Meta-Reinforcement Learning
Bhairav Mehta
T. Deleu
Sharath Chandra Raparthy
C. Pal
Liam Paull
102
20
0
19 Feb 2020
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning
Kaiyi Ji
Junjie Yang
Yingbin Liang
103
50
0
18 Feb 2020
Few-Shot Few-Shot Learning and the role of Spatial Attention
Few-Shot Few-Shot Learning and the role of Spatial Attention
Yann Lifchitz
Yannis Avrithis
Sylvaine Picard
SSL
65
7
0
18 Feb 2020
Unraveling Meta-Learning: Understanding Feature Representations for
  Few-Shot Tasks
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks
Micah Goldblum
Steven Reich
Liam H. Fowl
Renkun Ni
Valeriia Cherepanova
Tom Goldstein
SSLOffRL
109
75
0
17 Feb 2020
CRL: Class Representative Learning for Image Classification
CRL: Class Representative Learning for Image Classification
Mayanka Chandrashekar
Yugyung Lee
VLM
105
1
0
16 Feb 2020
Automatically Discovering and Learning New Visual Categories with
  Ranking Statistics
Automatically Discovering and Learning New Visual Categories with Ranking Statistics
Kai Han
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Andrea Vedaldi
Andrew Zisserman
SSL
81
185
0
13 Feb 2020
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
Jonas Rothfuss
Vincent Fortuin
Martin Josifoski
Andreas Krause
UQCV
93
127
0
13 Feb 2020
Exploiting the Matching Information in the Support Set for Few Shot
  Event Classification
Exploiting the Matching Information in the Support Set for Few Shot Event Classification
Viet Dac Lai
Franck Dernoncourt
Thien Huu Nguyen
64
41
0
13 Feb 2020
Task-Robust Model-Agnostic Meta-Learning
Task-Robust Model-Agnostic Meta-Learning
Liam Collins
Aryan Mokhtari
Sanjay Shakkottai
OOD
59
13
0
12 Feb 2020
Meta-Learning across Meta-Tasks for Few-Shot Learning
Nanyi Fei
Zhiwu Lu
Yizhao Gao
Jia Tian
Tao Xiang
Ji-Rong Wen
273
11
0
11 Feb 2020
Incremental Meta-Learning via Indirect Discriminant Alignment
Incremental Meta-Learning via Indirect Discriminant Alignment
Qing Liu
Orchid Majumder
Alessandro Achille
Avinash Ravichandran
Rahul Bhotika
Stefano Soatto
CLL
51
6
0
11 Feb 2020
Local Nonparametric Meta-Learning
Local Nonparametric Meta-Learning
Wonjoon Goo
S. Niekum
85
3
0
09 Feb 2020
Task Augmentation by Rotating for Meta-Learning
Task Augmentation by Rotating for Meta-Learning
Jialin Liu
Yong Li
Chih-Min Lin
119
33
0
08 Feb 2020
Meta-learning framework with applications to zero-shot time-series
  forecasting
Meta-learning framework with applications to zero-shot time-series forecasting
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
UQCVAI4TSAI4CE
256
113
0
07 Feb 2020
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis
Jiechao Guan
Zhiwu Lu
Tao Xiang
Ji-Rong Wen
46
12
0
06 Feb 2020
Revisiting Meta-Learning as Supervised Learning
Revisiting Meta-Learning as Supervised Learning
Wei-Lun Chao
Han-Jia Ye
De-Chuan Zhan
M. Campbell
Kilian Q. Weinberger
OODFedML
88
24
0
03 Feb 2020
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning
Mahesh Kumar Krishna Reddy
M. Hossain
Mrigank Rochan
Yang Wang
65
40
0
01 Feb 2020
Graph-based Interpolation of Feature Vectors for Accurate Few-Shot
  Classification
Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification
Yuqing Hu
Vincent Gripon
S. Pateux
73
28
0
27 Jan 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise
  Transformation
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation
Hung-Yu Tseng
Hsin-Ying Lee
Jia-Bin Huang
Ming-Hsuan Yang
96
395
0
23 Jan 2020
Continual Local Replacement for Few-shot Learning
Continual Local Replacement for Few-shot Learning
Canyu Le
Zhonggui Chen
Xihan Wei
Biao Wang
Lei Zhang
BDLCLL
57
2
0
23 Jan 2020
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive
  Model Selection
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection
Mi Luo
Fei Chen
Pengxiang Cheng
Zhenhua Dong
Xiuqiang He
Jiashi Feng
Zhenguo Li
96
48
0
22 Jan 2020
Optimized Generic Feature Learning for Few-shot Classification across
  Domains
Optimized Generic Feature Learning for Few-shot Classification across Domains
Tonmoy Saikia
Thomas Brox
Cordelia Schmid
VLM
77
49
0
22 Jan 2020
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