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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
Meta-Adversarial Inverse Reinforcement Learning for Decision-making
  Tasks
Meta-Adversarial Inverse Reinforcement Learning for Decision-making Tasks
Pin Wang
Hanhan Li
Ching-yao Chan
120
9
0
23 Mar 2021
Supervised Contrastive Replay: Revisiting the Nearest Class Mean
  Classifier in Online Class-Incremental Continual Learning
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning
Zheda Mai
Ruiwen Li
Hyunwoo J. Kim
Scott Sanner
CLL
99
188
0
22 Mar 2021
Hierarchical Representation based Query-Specific Prototypical Network
  for Few-Shot Image Classification
Hierarchical Representation based Query-Specific Prototypical Network for Few-Shot Image Classification
Yaohui Li
Huaxiong Li
Haoxing Chen
Chunlin Chen
67
4
0
21 Mar 2021
Multi-level Metric Learning for Few-shot Image Recognition
Multi-level Metric Learning for Few-shot Image Recognition
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
70
21
0
21 Mar 2021
A Modular and Unified Framework for Detecting and Localizing Video
  Anomalies
A Modular and Unified Framework for Detecting and Localizing Video Anomalies
Keval Doshi
Yasin Yılmaz
84
18
0
21 Mar 2021
CLTA: Contents and Length-based Temporal Attention for Few-shot Action
  Recognition
CLTA: Contents and Length-based Temporal Attention for Few-shot Action Recognition
Yang Bo
Yangdi Lu
Wenbo He
VLM
92
0
0
18 Mar 2021
Real-Time Visual Object Tracking via Few-Shot Learning
Real-Time Visual Object Tracking via Few-Shot Learning
Jinghao Zhou
Yue Liu
Peng Wang
Peixia Li
Weihao Gan
Wei Wu
Junjie Yan
Wanli Ouyang
67
5
0
18 Mar 2021
SHARP: Environment and Person Independent Activity Recognition with
  Commodity IEEE 802.11 Access Points
SHARP: Environment and Person Independent Activity Recognition with Commodity IEEE 802.11 Access Points
Francesca Meneghello
D. Garlisi
Nicolò Dal Fabbro
I. Tinnirello
Michele Rossi
61
56
0
17 Mar 2021
Gradient Projection Memory for Continual Learning
Gradient Projection Memory for Continual Learning
Gobinda Saha
Isha Garg
Kaushik Roy
VLMCLL
89
292
0
17 Mar 2021
Meta-learning of Pooling Layers for Character Recognition
Meta-learning of Pooling Layers for Character Recognition
Takato Otsuzuki
Heon Song
S. Uchida
Hideaki Hayashi
63
3
0
17 Mar 2021
Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning
Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning
Namyeong Kwon
Hwidong Na
Gabriel Huang
Simon Lacoste-Julien
55
7
0
16 Mar 2021
How to distribute data across tasks for meta-learning?
How to distribute data across tasks for meta-learning?
Alexandru Cioba
Michael Bromberg
Qian Wang
R. Niyogi
Georgios Batzolis
Jezabel R. Garcia
Da-shan Shiu
A. Bernacchia
FedML
68
8
0
15 Mar 2021
Evolving parametrized Loss for Image Classification Learning on Small Datasets
Zhaoyang Hai
Xiabi Liu
50
0
0
15 Mar 2021
Robust MAML: Prioritization task buffer with adaptive learning process
  for model-agnostic meta-learning
Robust MAML: Prioritization task buffer with adaptive learning process for model-agnostic meta-learning
Thanh Nguyen
Tung M. Luu
T. Pham
Sanzhar Rakhimkul
Chang D. Yoo
58
11
0
15 Mar 2021
Detecting Human-Object Interaction via Fabricated Compositional Learning
Detecting Human-Object Interaction via Fabricated Compositional Learning
Zhi Hou
B. Yu
Yu Qiao
Xiaojiang Peng
Dacheng Tao
131
99
0
15 Mar 2021
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor
  Neural Network
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural Network
Yang Liu
Tu Zheng
Mingli Song
Deng Cai
Xiaofei He
117
26
0
15 Mar 2021
Improving Context-Based Meta-Reinforcement Learning with Self-Supervised
  Trajectory Contrastive Learning
Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning
Bernie Wang
Si-ting Xu
Kurt Keutzer
Yang Gao
Bichen Wu
SSLOffRL
61
7
0
10 Mar 2021
Multi-Pretext Attention Network for Few-shot Learning with
  Self-supervision
Multi-Pretext Attention Network for Few-shot Learning with Self-supervision
Hainan Li
Renshuai Tao
Jun Li
Haotong Qin
Yifu Ding
Shuo Wang
Xianglong Liu
SSL
64
8
0
10 Mar 2021
SMIL: Multimodal Learning with Severely Missing Modality
SMIL: Multimodal Learning with Severely Missing Modality
Mengmeng Ma
Jian Ren
Long Zhao
Sergey Tulyakov
Cathy H. Wu
Xi Peng
103
265
0
09 Mar 2021
MetaView: Few-shot Active Object Recognition
MetaView: Few-shot Active Object Recognition
Wei Wei
Haonan Yu
Haichao Zhang
Wenyuan Xu
Ying Nian Wu
80
4
0
07 Mar 2021
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental
  Learning
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning
A. Cheraghian
Shafin Rahman
Pengfei Fang
S. Roy
L. Petersson
Mehrtash Harandi
CLL
144
186
0
06 Mar 2021
Harnessing Geometric Constraints from Emotion Labels to improve Face
  Verification
Harnessing Geometric Constraints from Emotion Labels to improve Face Verification
Anand Ramakrishnan
Minh Pham
Jacob Whitehill
3DHCVBM
52
0
0
05 Mar 2021
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification
Shunyu Jiang
Fuli Feng
Weijia Chen
Xiang Li
Xiangnan He
149
18
0
05 Mar 2021
Meta Learning Black-Box Population-Based Optimizers
Meta Learning Black-Box Population-Based Optimizers
H. Gomes
B. Léger
Christian Gagné
163
13
0
05 Mar 2021
Few-shot Learning for Slot Tagging with Attentive Relational Network
Few-shot Learning for Slot Tagging with Attentive Relational Network
Cennet Oguz
Ngoc Thang Vu
49
10
0
03 Mar 2021
Meta-Learning with Variational Bayes
Meta-Learning with Variational Bayes
Lucas Lingle
BDLOOD
49
0
0
03 Mar 2021
Task Aligned Generative Meta-learning for Zero-shot Learning
Task Aligned Generative Meta-learning for Zero-shot Learning
Zhe Liu
Yun Yvonna Li
Lina Yao
Xianzhi Wang
Guodong Long
VLM
68
37
0
03 Mar 2021
Few-shot Open-set Recognition by Transformation Consistency
Few-shot Open-set Recognition by Transformation Consistency
Minki Jeong
Seokeon Choi
Changick Kim
110
52
0
02 Mar 2021
Task-Adaptive Neural Network Search with Meta-Contrastive Learning
Task-Adaptive Neural Network Search with Meta-Contrastive Learning
Wonyong Jeong
Hayeon Lee
G. Park
Eunyoung Hyung
Jinheon Baek
Sung Ju Hwang
95
10
0
02 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant
  Representations for Few-Shot Learning
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning
Mamshad Nayeem Rizve
Salman Khan
Fahad Shahbaz Khan
M. Shah
144
114
0
01 Mar 2021
E$^2$CM: Early Exit via Class Means for Efficient Supervised and
  Unsupervised Learning
E2^22CM: Early Exit via Class Means for Efficient Supervised and Unsupervised Learning
Alperen Görmez
Venkateswara Dasari
Erdem Koyuncu
35
7
0
01 Mar 2021
Universal-Prototype Enhancing for Few-Shot Object Detection
Universal-Prototype Enhancing for Few-Shot Object Detection
Aming Wu
Yahong Han
Linchao Zhu
Yi Yang
ObjD
100
87
0
01 Mar 2021
Few-Shot Lifelong Learning
Few-Shot Lifelong Learning
Pratik Mazumder
Pravendra Singh
Piyush Rai
CLL
80
122
0
01 Mar 2021
Meta-learning representations for clustering with infinite Gaussian
  mixture models
Meta-learning representations for clustering with infinite Gaussian mixture models
Tomoharu Iwata
46
5
0
01 Mar 2021
Meta-learning One-class Classifiers with Eigenvalue Solvers for
  Supervised Anomaly Detection
Meta-learning One-class Classifiers with Eigenvalue Solvers for Supervised Anomaly Detection
Tomoharu Iwata
Atsutoshi Kumagai
51
2
0
01 Mar 2021
Domain Adaptation for Learning Generator from Paired Few-Shot Data
Domain Adaptation for Learning Generator from Paired Few-Shot Data
Chunyue Teng
Pin-Yu Chen
Wei-Chen Chiu
TTA
13
0
0
25 Feb 2021
Meta-Learning for improving rare word recognition in end-to-end ASR
Meta-Learning for improving rare word recognition in end-to-end ASR
Florian Lux
Ngoc Thang Vu
427
12
0
25 Feb 2021
Trajectory-Based Meta-Learning for Out-Of-Vocabulary Word Embedding
  Learning
Trajectory-Based Meta-Learning for Out-Of-Vocabulary Word Embedding Learning
Gordon Buck
Andreas Vlachos
59
1
0
24 Feb 2021
Enabling the Network to Surf the Internet
Enabling the Network to Surf the Internet
Zhuoling Li
Haohan Wang
Tymoteusz Świstek
Weixin Chen
Yuanzheng Li
Haoqian Wang
CLL
114
4
0
24 Feb 2021
Dual-Awareness Attention for Few-Shot Object Detection
Dual-Awareness Attention for Few-Shot Object Detection
Tung-I Chen
Yueh-Cheng Liu
Hung-Ting Su
Yu-Cheng Chang
Yu-Hsiang Lin
Jia-Fong Yeh
Wen-Chin Chen
Winston H. Hsu
ObjD
118
100
0
24 Feb 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
Amrith Rajagopal Setlur
Oscar Li
Virginia Smith
161
13
0
23 Feb 2021
Minimally-Supervised Structure-Rich Text Categorization via Learning on
  Text-Rich Networks
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks
Xinyang Zhang
Chenwei Zhang
Xin Luna Dong
Jingbo Shang
Jiawei Han
65
18
0
23 Feb 2021
Few-shot Network Anomaly Detection via Cross-network Meta-learning
Few-shot Network Anomaly Detection via Cross-network Meta-learning
Kaize Ding
Qinghai Zhou
Hanghang Tong
Huan Liu
177
128
0
22 Feb 2021
MetaDelta: A Meta-Learning System for Few-shot Image Classification
MetaDelta: A Meta-Learning System for Few-shot Image Classification
Yudong Chen
Chaoyu Guan
Zhikun Wei
Xin Eric Wang
Wenwu Zhu
VLM
59
18
0
22 Feb 2021
Learning Compositional Representation for Few-shot Visual Question
  Answering
Learning Compositional Representation for Few-shot Visual Question Answering
Dalu Guo
Dacheng Tao
OODCoGe
64
4
0
21 Feb 2021
Fast On-Device Adaptation for Spiking Neural Networks via
  Online-Within-Online Meta-Learning
Fast On-Device Adaptation for Spiking Neural Networks via Online-Within-Online Meta-Learning
Bleema Rosenfeld
Bipin Rajendran
Osvaldo Simeone
OffRL
99
9
0
21 Feb 2021
On Fast Adversarial Robustness Adaptation in Model-Agnostic
  Meta-Learning
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning
Ren Wang
Kaidi Xu
Sijia Liu
Pin-Yu Chen
Tsui-Wei Weng
Chuang Gan
Meng Wang
AAML
100
47
0
20 Feb 2021
Meta-Learning Dynamics Forecasting Using Task Inference
Meta-Learning Dynamics Forecasting Using Task Inference
Rui Wang
Robin Walters
Rose Yu
OODAI4TSAI4CE
138
36
0
20 Feb 2021
Condensed Composite Memory Continual Learning
Condensed Composite Memory Continual Learning
Felix Wiewel
Binh Yang
DD
75
34
0
19 Feb 2021
One-shot action recognition in challenging therapy scenarios
One-shot action recognition in challenging therapy scenarios
Alberto Sabater
Laura Santos
J. Santos-Victor
Alexandre Bernardino
Luis Montesano
Ana C. Murillo
129
38
0
17 Feb 2021
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