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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
Learn Faster and Forget Slower via Fast and Stable Task Adaptation
Learn Faster and Forget Slower via Fast and Stable Task Adaptation
Farshid Varno
Lucas May Petry
Lisa Di-Jorio
Stan Matwin
CLL
64
2
0
02 Jul 2020
Drug discovery with explainable artificial intelligence
Drug discovery with explainable artificial intelligence
José Jiménez-Luna
F. Grisoni
G. Schneider
195
645
0
01 Jul 2020
Robustness to Transformations Across Categories: Is Robustness To
  Transformations Driven by Invariant Neural Representations?
Robustness to Transformations Across Categories: Is Robustness To Transformations Driven by Invariant Neural Representations?
Hojin Jang
Syed Suleman Abbas Zaidi
Xavier Boix
Neeraj Prasad
Sharon Gilad-Gutnick
S. Ben-Ami
P. Sinha
OOD
68
4
0
30 Jun 2020
Uniform Priors for Data-Efficient Transfer
Uniform Priors for Data-Efficient Transfer
Samarth Sinha
Karsten Roth
Anirudh Goyal
Marzyeh Ghassemi
Hugo Larochelle
Animesh Garg
OOD
121
0
0
30 Jun 2020
Classification of cancer pathology reports: a large-scale comparative
  study
Classification of cancer pathology reports: a large-scale comparative study
S. Martina
L. Ventura
P. Frasconi
121
11
0
29 Jun 2020
Asymmetric metric learning for knowledge transfer
Asymmetric metric learning for knowledge transfer
Mateusz Budnik
Yannis Avrithis
69
35
0
29 Jun 2020
SoftSort: A Continuous Relaxation for the argsort Operator
SoftSort: A Continuous Relaxation for the argsort Operator
S. Prillo
Julian Martin Eisenschlos
ODL
80
68
0
29 Jun 2020
Few-Shot Microscopy Image Cell Segmentation
Few-Shot Microscopy Image Cell Segmentation
Youssef Dawoud
Julia Hornauer
G. Carneiro
Vasileios Belagiannis
VLM
67
13
0
29 Jun 2020
Improving Few-Shot Learning using Composite Rotation based Auxiliary
  Task
Improving Few-Shot Learning using Composite Rotation based Auxiliary Task
Pratik Mazumder
Pravendra Singh
Vinay P. Namboodiri
72
9
0
29 Jun 2020
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot
  Class-Incremental Learning
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning
Hanbin Zhao
Yongjian Fu
Mintong Kang
Qi Tian
Leilei Gan
Xi Li
CLL
146
104
0
28 Jun 2020
Laplacian Regularized Few-Shot Learning
Laplacian Regularized Few-Shot Learning
Imtiaz Masud Ziko
Jose Dolz
Eric Granger
Ismail Ben Ayed
82
176
0
28 Jun 2020
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy
Lu Liu
Dinesh Manocha
Guodong Long
Jing Jiang
Chengqi Zhang
72
28
0
28 Jun 2020
Unsupervised Deep Representation Learning and Few-Shot Classification of
  PolSAR Images
Unsupervised Deep Representation Learning and Few-Shot Classification of PolSAR Images
Lamei Zhang
Siyu Zhang
B. Zou
Hongwei Dong
SSL
21
0
0
27 Jun 2020
Leveraging Siamese Networks for One-Shot Intrusion Detection Model
Leveraging Siamese Networks for One-Shot Intrusion Detection Model
Hanan Hindy
Christos Tachtatzis
Robert C. Atkinson
David Brosset
Miroslav Bures
I. Andonovic
W. Michie
X. Bellekens
AAML
78
27
0
27 Jun 2020
Gradient-based Editing of Memory Examples for Online Task-free Continual
  Learning
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning
Xisen Jin
Arka Sadhu
Junyi Du
Xiang Ren
CLLKELMBDL
76
99
0
27 Jun 2020
Train and You'll Miss It: Interactive Model Iteration with Weak
  Supervision and Pre-Trained Embeddings
Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings
Mayee F. Chen
Daniel Y. Fu
Frederic Sala
Sen Wu
Ravi Teja Mullapudi
Fait Poms
Kayvon Fatahalian
Christopher Ré
61
10
0
26 Jun 2020
Global Convergence and Generalization Bound of Gradient-Based
  Meta-Learning with Deep Neural Nets
Global Convergence and Generalization Bound of Gradient-Based Meta-Learning with Deep Neural Nets
Haoxiang Wang
Ruoyu Sun
Bo Li
MLTAI4CE
91
14
0
25 Jun 2020
Learning Task-General Representations with Generative Neuro-Symbolic
  Modeling
Learning Task-General Representations with Generative Neuro-Symbolic Modeling
Reuben Feinman
Brenden M. Lake
GAN
68
19
0
25 Jun 2020
DOME: Recommendations for supervised machine learning validation in
  biology
DOME: Recommendations for supervised machine learning validation in biology
Ian Walsh
D. Fishman
Dario Garcia-Gasulla
T. Titma
Gianluca Pollastri
The ELIXIR Machine Learning focus group
J. Harrow
Fotis Psomopoulos
Silvio C.E. Tosatto
AI4CE
19
3
0
25 Jun 2020
Set Based Stochastic Subsampling
Set Based Stochastic Subsampling
Bruno Andreis
Seanie Lee
A. Nguyen
Juho Lee
Eunho Yang
Sung Ju Hwang
BDL
44
0
0
25 Jun 2020
OvA-INN: Continual Learning with Invertible Neural Networks
OvA-INN: Continual Learning with Invertible Neural Networks
Guillaume Hocquet
O. Bichler
D. Querlioz
BDLCLL
46
12
0
24 Jun 2020
Discrete Few-Shot Learning for Pan Privacy
Discrete Few-Shot Learning for Pan Privacy
Roei Gelbhart
Benjamin I. P. Rubinstein
32
1
0
23 Jun 2020
Inductive Unsupervised Domain Adaptation for Few-Shot Classification via
  Clustering
Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering
Xin Cong
Yu Bowen
Tingwen Liu
Shiyao Cui
Hengzhu Tang
Bin Wang
52
21
0
23 Jun 2020
Graph Prototypical Networks for Few-shot Learning on Attributed Networks
Graph Prototypical Networks for Few-shot Learning on Attributed Networks
Kaize Ding
Jianling Wang
Jundong Li
Kai Shu
Chenghao Liu
Huan Liu
61
166
0
23 Jun 2020
Deep Learning of Unified Region, Edge, and Contour Models for Automated
  Image Segmentation
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation
Ali Hatamizadeh
SSeg
59
3
0
23 Jun 2020
Meta Learning for Support Recovery in High-dimensional Precision Matrix
  Estimation
Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation
Qian Zhang
Yilin Zheng
Jean Honorio
87
7
0
22 Jun 2020
Auxiliary Learning by Implicit Differentiation
Auxiliary Learning by Implicit Differentiation
Aviv Navon
Idan Achituve
Haggai Maron
Gal Chechik
Ethan Fetaya
87
59
0
22 Jun 2020
Progressive Graph Learning for Open-Set Domain Adaptation
Progressive Graph Learning for Open-Set Domain Adaptation
Yadan Luo
Zijian Wang
Zi Huang
Mahsa Baktash
OOD
94
96
0
22 Jun 2020
Few-shot 3D Point Cloud Semantic Segmentation
Few-shot 3D Point Cloud Semantic Segmentation
Na Zhao
Tat-Seng Chua
Gim Hee Lee
3DPC
114
110
0
22 Jun 2020
Generalized Zero and Few-Shot Transfer for Facial Forgery Detection
Generalized Zero and Few-Shot Transfer for Facial Forgery Detection
Shivangi Aneja
Matthias Nießner
61
43
0
21 Jun 2020
Gradient-EM Bayesian Meta-learning
Gradient-EM Bayesian Meta-learning
Yayi Zou
Xiaoqi Lu
BDL
100
15
0
21 Jun 2020
A Universal Representation Transformer Layer for Few-Shot Image
  Classification
A Universal Representation Transformer Layer for Few-Shot Image Classification
Lu Liu
William L. Hamilton
Guodong Long
Jing Jiang
Hugo Larochelle
ViT
105
127
0
21 Jun 2020
Semantically Tied Paired Cycle Consistency for Any-Shot Sketch-based
  Image Retrieval
Semantically Tied Paired Cycle Consistency for Any-Shot Sketch-based Image Retrieval
Anjan Dutta
Zeynep Akata
GAN
56
24
0
20 Jun 2020
Unsupervised Image Classification for Deep Representation Learning
Unsupervised Image Classification for Deep Representation Learning
Weijie Chen
Shiliang Pu
Di Xie
Shicai Yang
Yilu Guo
Luojun Lin
SSLVLM
75
14
0
20 Jun 2020
Self-Supervised Prototypical Transfer Learning for Few-Shot
  Classification
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification
Carlos Medina
A. Devos
Matthias Grossglauser
SSL
80
51
0
19 Jun 2020
Meta Learning in the Continuous Time Limit
Meta Learning in the Continuous Time Limit
Ruitu Xu
Lin Chen
Amin Karbasi
60
14
0
19 Jun 2020
Predictive Complexity Priors
Predictive Complexity Priors
Eric T. Nalisnick
Jonathan Gordon
José Miguel Hernández-Lobato
BDLUQCV
106
19
0
18 Jun 2020
Unsupervised Meta-Learning through Latent-Space Interpolation in
  Generative Models
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
Siavash Khodadadeh
Sharare Zehtabian
Saeed Vahidian
Weijia Wang
Bill Lin
Ladislau Bölöni
53
36
0
18 Jun 2020
Extensively Matching for Few-shot Learning Event Detection
Extensively Matching for Few-shot Learning Event Detection
Viet Dac Lai
Franck Dernoncourt
Thien Huu Nguyen
95
60
0
17 Jun 2020
Self-supervised Knowledge Distillation for Few-shot Learning
Self-supervised Knowledge Distillation for Few-shot Learning
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
M. Shah
SSL
96
93
0
17 Jun 2020
Enhancing Few-Shot Image Classification with Unlabelled Examples
Enhancing Few-Shot Image Classification with Unlabelled Examples
Peyman Bateni
Jarred Barber
Jan-Willem van de Meent
Frank Wood
VLMSSL
132
57
0
17 Jun 2020
Learning to Learn with Feedback and Local Plasticity
Learning to Learn with Feedback and Local Plasticity
Jack W Lindsey
Ashok Litwin-Kumar
CLL
74
33
0
16 Jun 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial
  Parameters
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters
Kaiyi Ji
Jason D. Lee
Yingbin Liang
H. Vincent Poor
206
76
0
16 Jun 2020
Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised
  Performance
Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised Performance
L. Smith
A. Conovaloff
SSL
75
8
0
16 Jun 2020
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest
  CT Images
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images
Xiaocong Chen
Lina Yao
Tao Zhou
Jinming Dong
Yu Zhang
79
172
0
16 Jun 2020
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for
  Meta-Learning
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning
Sungyong Seo
Chuizheng Meng
Sirisha Rambhatla
Yan Liu
AI4CE
94
11
0
15 Jun 2020
LFD-ProtoNet: Prototypical Network Based on Local Fisher Discriminant
  Analysis for Few-shot Learning
LFD-ProtoNet: Prototypical Network Based on Local Fisher Discriminant Analysis for Few-shot Learning
K. Mukaiyama
Issei Sato
Masashi Sugiyama
24
2
0
15 Jun 2020
Graph Meta Learning via Local Subgraphs
Graph Meta Learning via Local Subgraphs
Kexin Huang
Marinka Zitnik
123
166
0
14 Jun 2020
Few-shot Object Detection on Remote Sensing Images
Few-shot Object Detection on Remote Sensing Images
J. Deng
Xiang Li
Yi Fang
ObjD
69
136
0
14 Jun 2020
Proximal Mapping for Deep Regularization
Proximal Mapping for Deep Regularization
Mao Li
Yingyi Ma
Xinhua Zhang
47
3
0
14 Jun 2020
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