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1606.04080
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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
Similarity Learning based Few Shot Learning for ECG Time Series Classification
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Deep Learning Approaches on Image Captioning: A Review
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H. Pourreza
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136
101
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PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information
Changbin Li
Suraj Kothawade
F. Chen
Rishabh K. Iyer
70
4
0
30 Jan 2022
Few-Shot Transfer Learning for Device-Free Fingerprinting Indoor Localization
Bingchao Chen
Ronald Y. Chang
38
16
0
29 Jan 2022
A Survey on Visual Transfer Learning using Knowledge Graphs
Sebastian Monka
Lavdim Halilaj
Achim Rettinger
121
23
0
27 Jan 2022
The Effect of Diversity in Meta-Learning
Ramnath Kumar
T. Deleu
Yoshua Bengio
81
13
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27 Jan 2022
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation
Jixuan Wang
Kuan-Chieh Wang
Frank Rudzicz
M. Brudno
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66
22
0
27 Jan 2022
Meta-learning Spiking Neural Networks with Surrogate Gradient Descent
Kenneth Stewart
Emre Neftci
93
25
0
26 Jan 2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients
Yassir Bendou
Yuqing Hu
Raphael Lafargue
G. Lioi
Bastien Pasdeloup
S. Pateux
Vincent Gripon
VLM
114
38
0
24 Jan 2022
Learning to Predict Gradients for Semi-Supervised Continual Learning
Yan Luo
Yongkang Wong
Mohan S. Kankanhalli
Qi Zhao
SSL
CLL
70
8
0
23 Jan 2022
Distance-Ratio-Based Formulation for Metric Learning
Hyeongji Kim
P. Parviainen
K. Malde
41
1
0
21 Jan 2022
Cross-Domain Few-Shot Graph Classification
Kaveh Hassani
107
32
0
20 Jan 2022
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework
Xinyi Zou
Y. Yan
Jing-Hao Xue
Si Chen
Hanzi Wang
87
15
0
18 Jan 2022
OmniPrint: A Configurable Printed Character Synthesizer
Haozhe Sun
Wei-Wei Tu
Isabelle M Guyon
SyDa
88
7
0
17 Jan 2022
Towards Sample-efficient Overparameterized Meta-learning
Yue Sun
Adhyyan Narang
Halil Ibrahim Gulluk
Samet Oymak
Maryam Fazel
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71
25
0
16 Jan 2022
Multi-level Second-order Few-shot Learning
Hongguang Zhang
Hongdong Li
Piotr Koniusz
98
35
0
15 Jan 2022
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
93
105
0
15 Jan 2022
Training Free Graph Neural Networks for Graph Matching
Zhiyuan Liu
Yixin Cao
Fuli Feng
Xiang Wang
Jie Tang
Kenji Kawaguchi
Tat-Seng Chua
65
0
0
14 Jan 2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning
Peyman Bateni
Jarred Barber
Raghav Goyal
Vaden Masrani
Jan-Willem van de Meent
Leonid Sigal
Frank Wood
BDL
VLM
93
9
0
13 Jan 2022
MetaDance: Few-shot Dancing Video Retargeting via Temporal-aware Meta-learning
Yuying Ge
Yibing Song
Ruimao Zhang
Ping Luo
VGen
DiffM
42
0
0
13 Jan 2022
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning
A. Zhmoginov
Mark Sandler
Max Vladymyrov
ViT
82
69
0
11 Jan 2022
MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing
Xin Liu
Yuntao wang
S. Xie
Xiaoyu Zhang
Zixian Ma
Daniel J. McDuff
Shwetak N. Patel
75
12
0
11 Jan 2022
Semantics-driven Attentive Few-shot Learning over Clean and Noisy Samples
Orhun Bugra Baran
Ramazan Gokberk Cinbics
75
4
0
09 Jan 2022
Pseudo-labelling and Meta Reweighting Learning for Image Aesthetic Quality Assessment
Xin Jin
Hao Lou
Heng Huang
Xiaodong Li
Shuai Cui
Xiaokun Zhang
Xiqiao Li
45
1
0
08 Jan 2022
Budget-aware Few-shot Learning via Graph Convolutional Network
Shipeng Yan
Songyang Zhang
Xuming He
53
6
0
07 Jan 2022
A Unified Framework for Attention-Based Few-Shot Object Detection
Pierre Le Jeune
Anissa Zergaïnoh-Mokraoui
ObjD
80
2
0
06 Jan 2022
Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation
Kowshik Thopalli
Jayaraman J. Thiagarajan
Rushil Anirudh
Pavan Turaga
56
0
0
05 Jan 2022
Class-Incremental Continual Learning into the eXtended DER-verse
Matteo Boschini
Lorenzo Bonicelli
Pietro Buzzega
Angelo Porrello
Simone Calderara
CLL
BDL
109
142
0
03 Jan 2022
Distributed Evolution Strategies Using TPUs for Meta-Learning
Alex Sheng
J. He
39
2
0
01 Jan 2022
On the Role of Neural Collapse in Transfer Learning
Tomer Galanti
András Gyorgy
Marcus Hutter
SSL
100
93
0
30 Dec 2021
Feature-context driven Federated Meta-Learning for Rare Disease Prediction
Bingyang Chen
Tao Chen
Xingjie Zeng
Weishan Zhang
Qinghua Lu
Zhaoxiang Hou
Jiehan Zhou
A. Helal
FedML
69
1
0
29 Dec 2021
Towards continual task learning in artificial neural networks: current approaches and insights from neuroscience
David McCaffary
CLL
51
5
0
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Associative Adversarial Learning Based on Selective Attack
Runqi Wang
Xiaoyue Duan
Baochang Zhang
Shenjun Xue
Wentao Zhu
David Doermann
G. Guo
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83
0
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28 Dec 2021
MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios
Xiaofeng Pan
Ming Li
Jing Zhang
Keren Yu
Luping Wang
Hong Wen
Chengjun Mao
Bo Cao
78
8
0
27 Dec 2021
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains
Yuan Cheng
Ci-Siang Lin
Fu-En Yang
Yu-Chiang Frank Wang
64
2
0
27 Dec 2021
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve
Lei Wang
Jun Liu
Piotr Koniusz
98
21
0
23 Dec 2021
Dual Path Structural Contrastive Embeddings for Learning Novel Objects
Bingbin Li
E. Cui
Yanan Li
Donghui Wang
Weng Kee Wong
49
1
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Meta-Learning and Self-Supervised Pretraining for Real World Image Translation
Ileana Rugina
Rumen Dangovski
Mark S. Veillette
Pooya Khorrami
Brian Cheung
Olga Simek
M. Soljavcić
VLM
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78
2
0
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Few-Shot Object Detection: A Comprehensive Survey
Mona Köhler
M. Eisenbach
H. Groß
ObjD
94
68
0
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Cost Aggregation Is All You Need for Few-Shot Segmentation
Sunghwan Hong
Seokju Cho
Jisu Nam
Seungryong Kim
ViT
71
25
0
22 Dec 2021
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey
Jiaoyan Chen
Yuxia Geng
Zhuo Chen
Jeff Z. Pan
Yuan He
Wen Zhang
Ian Horrocks
Hua-zeng Chen
141
49
0
18 Dec 2021
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks
G. Han
Yicheng He
Shiyuan Huang
Jiawei Ma
Shih-Fu Chang
ObjD
137
104
0
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Adaptively Customizing Activation Functions for Various Layers
Haigen Hu
Aizhu Liu
Q. Guan
Xiaoxin Li
Shengyong Chen
Qianwei Zhou
40
11
0
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Semantic-Based Few-Shot Learning by Interactive Psychometric Testing
Lu Yin
Vlado Menkovski
Yulong Pei
Mykola Pechenizkiy
71
1
0
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Hierarchical Variational Memory for Few-shot Learning Across Domains
Yingjun Du
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
VLM
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108
21
0
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Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent Detection
Ayush Kumar
Vijit Malik
Jithendra Vepa
71
1
0
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Exploring Category-correlated Feature for Few-shot Image Classification
Jing Xu
Xinglin Pan
Xu Luo
Wenjie Pei
Zenglin Xu
81
4
0
14 Dec 2021
Hybrid Graph Neural Networks for Few-Shot Learning
Tianyuan Yu
Sen He
Yi-Zhe Song
Tao Xiang
60
64
0
13 Dec 2021
Shaping Visual Representations with Attributes for Few-Shot Recognition
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
83
7
0
13 Dec 2021
Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning
Guangyu Sun
Zhangpu Liu
Lianggong Wen
Jing Shi
Chenliang Xu
76
3
0
12 Dec 2021
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