ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1606.04080
  4. Cited By
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
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and
  Architectures
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
Jeongun Ryu
Jaewoong Shin
Haebeom Lee
Sung Ju Hwang
AAMLOOD
50
8
0
13 Jun 2020
UniT: Unified Knowledge Transfer for Any-shot Object Detection and
  Segmentation
UniT: Unified Knowledge Transfer for Any-shot Object Detection and Segmentation
Siddhesh Khandelwal
Raghav Goyal
Leonid Sigal
VLM
112
2
0
12 Jun 2020
Learning-to-Learn Personalised Human Activity Recognition Models
Learning-to-Learn Personalised Human Activity Recognition Models
A. Wijekoon
Nirmalie Wiratunga
HAI
55
4
0
12 Jun 2020
Attentive Feature Reuse for Multi Task Meta learning
Attentive Feature Reuse for Multi Task Meta learning
Kiran Lekkala
Laurent Itti
OOD
71
7
0
12 Jun 2020
Task-similarity Aware Meta-learning through Nonparametric Kernel
  Regression
Task-similarity Aware Meta-learning through Nonparametric Kernel Regression
Arun Venkitaraman
Anders Hansson
B. Wahlberg
84
8
0
12 Jun 2020
Backdoor Attacks on Federated Meta-Learning
Backdoor Attacks on Federated Meta-Learning
Chien-Lun Chen
L. Golubchik
Marco Paolieri
FedML
68
32
0
12 Jun 2020
How many winning tickets are there in one DNN?
How many winning tickets are there in one DNN?
Kathrin Grosse
Michael Backes
UQCV
36
2
0
12 Jun 2020
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OODHAI
69
110
0
12 Jun 2020
Learning to Learn Kernels with Variational Random Features
Learning to Learn Kernels with Variational Random Features
Xiantong Zhen
Hao Sun
Yingjun Du
Jun Xu
Yilong Yin
Ling Shao
Cees G. M. Snoek
DRL
72
34
0
11 Jun 2020
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph
  Link Prediction
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction
Jinheon Baek
Dong Bok Lee
Sung Ju Hwang
101
90
0
11 Jun 2020
What makes instance discrimination good for transfer learning?
What makes instance discrimination good for transfer learning?
Nanxuan Zhao
Zhirong Wu
Rynson W. H. Lau
Stephen Lin
SSL
81
171
0
11 Jun 2020
Dataset Condensation with Gradient Matching
Dataset Condensation with Gradient Matching
Bo Zhao
Konda Reddy Mopuri
Hakan Bilen
DD
159
505
0
10 Jun 2020
Few-shot Slot Tagging with Collapsed Dependency Transfer and
  Label-enhanced Task-adaptive Projection Network
Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network
Yutai Hou
Wanxiang Che
Y. Lai
Zhihan Zhou
Yijia Liu
Han Liu
Ting Liu
59
194
0
10 Jun 2020
Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning
Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning
Andrei Boiarov
O. Granichin
O. Granichina
115
6
0
09 Jun 2020
Beyond Triplet Loss: Meta Prototypical N-tuple Loss for Person
  Re-identification
Beyond Triplet Loss: Meta Prototypical N-tuple Loss for Person Re-identification
Zhizheng Zhang
Cuiling Lan
Wenjun Zeng
Zhibo Chen
Shih-Fu Chang
90
12
0
08 Jun 2020
Multi-step Estimation for Gradient-based Meta-learning
Multi-step Estimation for Gradient-based Meta-learning
Jin-Hwa Kim
Junyoung Park
Yongseok Choi
75
1
0
08 Jun 2020
Multi-view Contrastive Learning for Online Knowledge Distillation
Multi-view Contrastive Learning for Online Knowledge Distillation
Chuanguang Yang
Zhulin An
Yongjun Xu
77
24
0
07 Jun 2020
A Generic First-Order Algorithmic Framework for Bi-Level Programming
  Beyond Lower-Level Singleton
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton
Risheng Liu
Pan Mu
Xiaoming Yuan
Shangzhi Zeng
Jin Zhang
78
131
0
07 Jun 2020
Distributionally Robust Weighted $k$-Nearest Neighbors
Distributionally Robust Weighted kkk-Nearest Neighbors
Shixiang Zhu
Liyan Xie
Minghe Zhang
Rui Gao
Yao Xie
OOD
95
7
0
07 Jun 2020
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning
Yuqing Hu
Vincent Gripon
S. Pateux
80
168
0
06 Jun 2020
Rapid Task-Solving in Novel Environments
Rapid Task-Solving in Novel Environments
Samuel Ritter
Ryan Faulkner
Laurent Sartran
Adam Santoro
M. Botvinick
David Raposo
71
29
0
05 Jun 2020
UFO-BLO: Unbiased First-Order Bilevel Optimization
UFO-BLO: Unbiased First-Order Bilevel Optimization
Valerii Likhosherstov
Xingyou Song
K. Choromanski
Jared Davis
Adrian Weller
130
7
0
05 Jun 2020
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction
Francesco Marchetti
Federico Becattini
Lorenzo Seidenari
A. Bimbo
78
121
0
05 Jun 2020
Meta Dialogue Policy Learning
Meta Dialogue Policy Learning
Yumo Xu
Chenguang Zhu
Baolin Peng
Michael Zeng
OffRL
49
7
0
03 Jun 2020
Towards Context-Agnostic Learning Using Synthetic Data
Towards Context-Agnostic Learning Using Synthetic Data
Charles Jin
Martin Rinard
OOD
113
1
0
29 May 2020
High-order structure preserving graph neural network for few-shot
  learning
High-order structure preserving graph neural network for few-shot learning
Guangfeng Lin
Ying Yang
Y. Fan
Xiao-bing Kang
Kaiyang Liao
Fan Zhao
68
1
0
29 May 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
1.2K
42,712
0
28 May 2020
Boosting Few-Shot Learning With Adaptive Margin Loss
Boosting Few-Shot Learning With Adaptive Margin Loss
Aoxue Li
Weiran Huang
Xu Lan
Jiashi Feng
Zhenguo Li
Liwei Wang
121
194
0
28 May 2020
TOAN: Target-Oriented Alignment Network for Fine-Grained Image
  Categorization with Few Labeled Samples
TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples
Huaxi Huang
Junjie Zhang
Jian Zhang
Qiang Wu
Chang Xu
89
57
0
28 May 2020
Few-Shot Open-Set Recognition using Meta-Learning
Few-Shot Open-Set Recognition using Meta-Learning
Bo Liu
Hao Kang
Haoxiang Li
G. Hua
Nuno Vasconcelos
BDLEDL
68
93
0
27 May 2020
Looking back to lower-level information in few-shot learning
Looking back to lower-level information in few-shot learning
Zhongjie Yu
S. Raschka
48
5
0
27 May 2020
SSM-Net for Plants Disease Identification in Low Data Regime
SSM-Net for Plants Disease Identification in Low Data Regime
Shruti Jadon
110
22
0
27 May 2020
Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors
Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors
B. Haney
Alexander Lavin
56
4
0
23 May 2020
One of these (Few) Things is Not Like the Others
One of these (Few) Things is Not Like the Others
Nat Roth
Justin Wagle
VLM
15
0
0
22 May 2020
Robust Layout-aware IE for Visually Rich Documents with Pre-trained
  Language Models
Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models
Mengxi Wei
Yifan He
Qiong Zhang
VLM
48
41
0
22 May 2020
A Concise Review of Recent Few-shot Meta-learning Methods
A Concise Review of Recent Few-shot Meta-learning Methods
Xiaoxu Li
Z. Sun
Jing-Hao Xue
Zhanyu Ma
VLMOffRL
113
134
0
22 May 2020
Prototypical Q Networks for Automatic Conversational Diagnosis and
  Few-Shot New Disease Adaption
Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption
Hongyin Luo
Shang-Wen Li
James R. Glass
BDLMedIm
129
9
0
19 May 2020
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot
  Learning
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning
Jia-Fong Yeh
Hsin-Ying Lee
Bing-Chen Tsai
Yi-Rong Chen
Ping Huang
Winston H. Hsu
75
14
0
19 May 2020
Compositional Few-Shot Recognition with Primitive Discovery and
  Enhancing
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing
Yixiong Zou
Shanghang Zhang
Ke Chen
Yonghong Tian
Yaowei Wang
J. M. F. Moura
49
27
0
12 May 2020
One-Shot Recognition of Manufacturing Defects in Steel Surfaces
One-Shot Recognition of Manufacturing Defects in Steel Surfaces
Aditya M. Deshpande
A. Minai
Manish Kumar
48
58
0
12 May 2020
Dynamic Memory Induction Networks for Few-Shot Text Classification
Dynamic Memory Induction Networks for Few-Shot Text Classification
Ruiying Geng
Binhua Li
Yongbin Li
Jian Sun
Xiao-Dan Zhu
56
79
0
12 May 2020
A Comparison of Few-Shot Learning Methods for Underwater Optical and
  Sonar Image Classification
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification
Mateusz Ochal
Jose Vazquez
Y. Pétillot
Sen Wang
73
26
0
10 May 2020
Memory-Augmented Relation Network for Few-Shot Learning
Memory-Augmented Relation Network for Few-Shot Learning
J. He
Richang Hong
Xueliang Liu
Mingliang Xu
Zhengjun Zha
Meng Wang
96
50
0
09 May 2020
Transforming task representations to perform novel tasks
Transforming task representations to perform novel tasks
Andrew Kyle Lampinen
James L. McClelland
44
5
0
08 May 2020
One-Shot Object Detection without Fine-Tuning
One-Shot Object Detection without Fine-Tuning
Xiang Li
Lin Zhang
Yau Pun Chen
Yu-Wing Tai
Chi-Keung Tang
ObjDVLM
71
28
0
08 May 2020
A Review of Computer Vision Methods in Network Security
A Review of Computer Vision Methods in Network Security
Jiawei Zhao
Rahat Masood
Suranga Seneviratne
AAML
52
48
0
07 May 2020
Gradual Relation Network: Decoding Intuitive Upper Extremity Movement
  Imaginations Based on Few-Shot EEG Learning
Gradual Relation Network: Decoding Intuitive Upper Extremity Movement Imaginations Based on Few-Shot EEG Learning
Kyung-Hwan Shim
Ji-Hoon Jeong
Seong-Whan Lee
27
3
0
06 May 2020
MorphoCluster: Efficient Annotation of Plankton images by Clustering
MorphoCluster: Efficient Annotation of Plankton images by Clustering
Simon-Martin Schroder
R. Kiko
Reinhard Koch
106
46
0
04 May 2020
Generalized Reinforcement Meta Learning for Few-Shot Optimization
Generalized Reinforcement Meta Learning for Few-Shot Optimization
R. Anantha
S. Pulman
Srinivas Chappidi
OffRL
37
2
0
04 May 2020
One-Shot Image Classification by Learning to Restore Prototypes
One-Shot Image Classification by Learning to Restore Prototypes
Wanqi Xue
Wei Wang
VLM
90
52
0
04 May 2020
Previous
123...464748...626364
Next