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Matching Networks for One Shot Learning

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"

50 / 1,022 papers shown
Title
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval
Deunsol Jung
Dahyun Kang
Suha Kwak
Minsu Cho
CLL
27
8
0
14 Nov 2022
Enhancing Few-shot Image Classification with Cosine Transformer
Enhancing Few-shot Image Classification with Cosine Transformer
Quang-Huy Nguyen
Cuong Q. Nguyen
Dung D. Le
Hieu H. Pham
ViT
27
12
0
13 Nov 2022
Few-Shot Learning for Biometric Verification
Few-Shot Learning for Biometric Verification
S. Ahmed
Umaid M. Zaffar
M. Aslam
M. I. Malik
26
0
0
12 Nov 2022
Few-shot Classification with Hypersphere Modeling of Prototypes
Few-shot Classification with Hypersphere Modeling of Prototypes
Ning Ding
Yulin Chen
Ganqu Cui
Xiaobin Wang
Haitao Zheng
Zhiyuan Liu
Pengjun Xie
25
8
0
10 Nov 2022
Few-Shot Character Understanding in Movies as an Assessment to
  Meta-Learning of Theory-of-Mind
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind
Mo Yu
Qiujing Wang
Shunchi Zhang
Yisi Sang
Kangsheng Pu
...
Han Wang
Liyan Xu
Jing Li
Yue Yu
Jie Zhou
24
19
0
09 Nov 2022
Prompt-Based Metric Learning for Few-Shot NER
Prompt-Based Metric Learning for Few-Shot NER
Yanru Chen
Yanan Zheng
Zhilin Yang
VLM
34
27
0
08 Nov 2022
A Survey on Computer Vision based Human Analysis in the COVID-19 Era
A Survey on Computer Vision based Human Analysis in the COVID-19 Era
Fevziye Irem Eyiokur
Alperen Kantarci
M. Erakin
Naser Damer
Ferda Ofli
...
Janez Križaj
A. Salah
Alexander Waibel
Vitomir Štruc
H. K. Ekenel
34
20
0
07 Nov 2022
Reconciliation of Pre-trained Models and Prototypical Neural Networks in
  Few-shot Named Entity Recognition
Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition
Youcheng Huang
Wenqiang Lei
Jie Fu
Jiancheng Lv
6
3
0
07 Nov 2022
KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles
KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles
Dominik Filipiak
A. Fensel
A. Filipowska
30
1
0
06 Nov 2022
Rethinking the Metric in Few-shot Learning: From an Adaptive
  Multi-Distance Perspective
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective
Jinxiang Lai
Siqian Yang
Guannan Jiang
Xi-Zhao Wang
Yuxi Li
...
Xiaozhong Liu
Bin-Bin Gao
Wei Zhang
Yuan Xie
Chengjie Wang
43
6
0
02 Nov 2022
SAGE: Saliency-Guided Mixup with Optimal Rearrangements
SAGE: Saliency-Guided Mixup with Optimal Rearrangements
A. Ma
Nikita Dvornik
Ran Zhang
Leila Pishdad
Konstantinos G. Derpanis
Afsaneh Fazly
28
6
0
31 Oct 2022
A picture of the space of typical learnable tasks
A picture of the space of typical learnable tasks
Rahul Ramesh
J. Mao
Itay Griniasty
Rubing Yang
H. Teoh
M. Transtrum
J. Sethna
Pratik Chaudhari
SSL
DRL
36
5
0
31 Oct 2022
Uncertainty-DTW for Time Series and Sequences
Uncertainty-DTW for Time Series and Sequences
Lei Wang
Piotr Koniusz
11
33
0
30 Oct 2022
Do Pre-trained Models Benefit Equally in Continual Learning?
Do Pre-trained Models Benefit Equally in Continual Learning?
Kuan-Ying Lee
Yuanyi Zhong
Yu-xiong Wang
CLL
24
28
0
27 Oct 2022
Towards Practical Few-Shot Query Sets: Transductive Minimum Description
  Length Inference
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference
Ségolène Martin
Malik Boudiaf
Émilie Chouzenoux
J. Pesquet
Ismail Ben Ayed
24
8
0
26 Oct 2022
From Points to Functions: Infinite-dimensional Representations in
  Diffusion Models
From Points to Functions: Infinite-dimensional Representations in Diffusion Models
Sarthak Mittal
Guillaume Lajoie
Stefan Bauer
Arash Mehrjou
DiffM
34
30
0
25 Oct 2022
Better Few-Shot Relation Extraction with Label Prompt Dropout
Better Few-Shot Relation Extraction with Label Prompt Dropout
Peiyuan Zhang
Wei Lu
VLM
19
24
0
25 Oct 2022
MARS: Meta-Learning as Score Matching in the Function Space
MARS: Meta-Learning as Score Matching in the Function Space
Krunoslav Lehman Pavasovic
Jonas Rothfuss
Andreas Krause
BDL
30
4
0
24 Oct 2022
Functional Indirection Neural Estimator for Better Out-of-distribution
  Generalization
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization
K. Pham
Hung Le
Man Ngo
T. Tran
OODD
30
1
0
23 Oct 2022
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic
  Disorders
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders
Ömer Sümer
Fabio Hellmann
Alexander Hustinx
Tzung-Chien Hsieh
Elisabeth André
P. Krawitz
CVBM
15
7
0
23 Oct 2022
Deep domain adaptation for polyphonic melody extraction
Kavya Ranjan Saxena
Vipul Arora
29
0
0
22 Oct 2022
Meta-learning Pathologies from Radiology Reports using Variance Aware
  Prototypical Networks
Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks
Arijit Sehanobish
Kawshik Kannan
Nabila Abraham
Anasuya Das
Benjamin Odry
VLM
26
0
0
22 Oct 2022
A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning
A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning
Yanjun Qi
Han Sun
Ningzhong Liu
Huiyu Zhou
29
8
0
22 Oct 2022
CEFR-Based Sentence Difficulty Annotation and Assessment
CEFR-Based Sentence Difficulty Annotation and Assessment
Yuki Arase
Satoru Uchida
Tomoyuki Kajiwara
12
22
0
21 Oct 2022
DeepRING: Learning Roto-translation Invariant Representation for LiDAR
  based Place Recognition
DeepRING: Learning Roto-translation Invariant Representation for LiDAR based Place Recognition
Shan Lu
Xuecheng Xu
Li Tang
R. Xiong
Yue Wang
3DPC
17
6
0
20 Oct 2022
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation
Yong Wu
Shekhor Chanda
M. Hosseinzadeh
Zhi Liu
Yang Wang
VLM
29
7
0
18 Oct 2022
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot
  Named Entity Recognition
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition
J. Wang
Chengcheng Han
Chengyu Wang
Chuanqi Tan
Minghui Qiu
Songfang Huang
Jun Huang
Ming Gao
24
21
0
17 Oct 2022
DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers
DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers
Gaurav Kumar Nayak
Ruchit Rawal
Anirban Chakraborty
11
3
0
17 Oct 2022
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal
  Knowledge Graphs
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs
Ruijie Wang
Zheng Li
Dachun Sun
Shengzhong Liu
Jinning Li
Bing Yin
Tarek F. Abdelzaher
OffRL
21
41
0
16 Oct 2022
Neural Routing in Meta Learning
Neural Routing in Meta Learning
Jicang Cai
Saeed Vahidian
Weijia Wang
M. Joneidi
Bill Lin
18
0
0
14 Oct 2022
Visual Classification via Description from Large Language Models
Visual Classification via Description from Large Language Models
Sachit Menon
Carl Vondrick
VLM
23
287
0
13 Oct 2022
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets
Anurag Roy
David Johnson Ekka
Saptarshi Ghosh
Abir Das
23
1
0
13 Oct 2022
A Unified Framework with Meta-dropout for Few-shot Learning
A Unified Framework with Meta-dropout for Few-shot Learning
Shaobo Lin
Xingyu Zeng
Rui Zhao
16
1
0
12 Oct 2022
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection
Shizhen Zhao
Xiaojuan Qi
3DPC
45
17
0
11 Oct 2022
Knowledge-Driven New Drug Recommendation
Knowledge-Driven New Drug Recommendation
Zhenbang Wu
Huaxiu Yao
Zhe Su
David M. Liebovitz
Lucas Glass
James Zou
Chelsea Finn
Jimeng Sun
18
4
0
11 Oct 2022
FS-DETR: Few-Shot DEtection TRansformer with prompting and without
  re-training
FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training
Adrian Bulat
Ricardo Guerrero
Brais Martínez
Georgios Tzimiropoulos
42
30
0
10 Oct 2022
Multi-Modal Fusion by Meta-Initialization
Multi-Modal Fusion by Meta-Initialization
Matthew Jackson
Shreshth A. Malik
Michael T. Matthews
Yousuf Mohamed-Ahmed
29
0
0
10 Oct 2022
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect
  Category Detection
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection
Fei Zhao
Yuchen Shen
Zhanghua Wu
Xinyu Dai
33
11
0
09 Oct 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from
  Mixture-of-Experts
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
Tao Zhong
Zhixiang Chi
Li Gu
Yang Wang
Yuanhao Yu
Jingshan Tang
OOD
66
29
0
08 Oct 2022
Images as Weight Matrices: Sequential Image Generation Through Synaptic
  Learning Rules
Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules
Kazuki Irie
Jürgen Schmidhuber
37
5
0
07 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Kuilin Chen
Chi-Guhn Lee
SSL
40
3
0
07 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning
BaseTransformers: Attention over base data-points for One Shot Learning
Mayug Maniparambil
Kevin McGuinness
Noel E. O'Connor
31
3
0
05 Oct 2022
Exploring Effective Knowledge Transfer for Few-shot Object Detection
Exploring Effective Knowledge Transfer for Few-shot Object Detection
Zhiyuan Zhao
Qingjie Liu
Yunhong Wang
35
9
0
05 Oct 2022
Predictive Event Segmentation and Representation with Neural Networks: A
  Self-Supervised Model Assessed by Psychological Experiments
Predictive Event Segmentation and Representation with Neural Networks: A Self-Supervised Model Assessed by Psychological Experiments
Hamit Basgol
I. Ayhan
Emre Ugur
29
1
0
04 Oct 2022
Are All Losses Created Equal: A Neural Collapse Perspective
Are All Losses Created Equal: A Neural Collapse Perspective
Jinxin Zhou
Chong You
Xiao Li
Kangning Liu
Sheng Liu
Qing Qu
Zhihui Zhu
36
58
0
04 Oct 2022
On Stability and Generalization of Bilevel Optimization Problem
Meng Ding
Ming Lei
Yunwen Lei
Di Wang
Jinhui Xu
32
0
0
03 Oct 2022
Few-Shot Segmentation via Rich Prototype Generation and Recurrent
  Prediction Enhancement
Few-Shot Segmentation via Rich Prototype Generation and Recurrent Prediction Enhancement
Hongsheng Wang
Xiaoqi Zhao
Youwei Pang
Jinqing Qi
VLM
36
2
0
03 Oct 2022
Efficient Meta-Learning for Continual Learning with Taylor Expansion
  Approximation
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation
Xiaohan Zou
Tong Lin
CLL
21
2
0
03 Oct 2022
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of
  ORBIT Challenge 2022
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022
Liming Gu
Zhixiang Chi
Huan Liu
Yuanhao Yu
Yang Wang
27
5
0
01 Oct 2022
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning
Xiu-Shen Wei
Hesheng Xu
Faen Zhang
Yuxin Peng
Wei Zhou
27
14
0
28 Sep 2022
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