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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 / 1,001 papers shown
Title
Towards Exact Computation of Inductive Bias
Towards Exact Computation of Inductive Bias
Akhilan Boopathy
William Yue
Jaedong Hwang
Abhiram Iyer
Ila Fiete
36
0
0
22 Jun 2024
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation
Yong Wu
Yang Wang
Sanqing Qu
Zhijun Li
Guang Chen
32
1
0
13 Jun 2024
Noise-Aware Differentially Private Regression via Meta-Learning
Noise-Aware Differentially Private Regression via Meta-Learning
Ossi Raisa
Stratis Markou
Matthew Ashman
W. Bruinsma
Marlon Tobaben
Antti Honkela
Richard Turner
71
1
0
12 Jun 2024
Latent Representation Matters: Human-like Sketches in One-shot Drawing
  Tasks
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks
Victor Boutin
Rishav Mukherji
Aditya Agrawal
Sabine Muzellec
Thomas Fel
Thomas Serre
Rufin VanRullen
DiffM
37
0
0
10 Jun 2024
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation
Erik Landolsi
Fredrik Kahl
DiffM
58
1
0
05 Jun 2024
Memory-guided Network with Uncertainty-based Feature Augmentation for
  Few-shot Semantic Segmentation
Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentation
Xinyue Chen
Miaojing Shi
44
0
0
01 Jun 2024
Unsupervised Meta-Learning via In-Context Learning
Unsupervised Meta-Learning via In-Context Learning
Anna Vettoruzzo
Lorenzo Braccaioli
Joaquin Vanschoren
M. Nowaczyk
SSL
61
0
0
25 May 2024
Dissecting the Interplay of Attention Paths in a Statistical Mechanics
  Theory of Transformers
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers
Lorenzo Tiberi
Francesca Mignacco
Kazuki Irie
H. Sompolinsky
44
6
0
24 May 2024
Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching
  Transformation
Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation
Jiayi Chen
Rong Quan
Jie Qin
42
1
0
24 May 2024
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization
Zexi Li
Lingzhi Gao
Chao Wu
AI4CE
DiffM
55
3
0
23 May 2024
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision
  and Text
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text
Yuyu Jia
Qing Zhou
Wei Huang
Junyu Gao
Qi. Wang
VLM
37
1
0
21 May 2024
MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition
MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition
Hongyu Qu
Rui Yan
Xiangbo Shu
Haoliang Gao
Peng Huang
Guo-Sen Xie
56
4
0
03 May 2024
UniFS: Universal Few-shot Instance Perception with Point Representations
UniFS: Universal Few-shot Instance Perception with Point Representations
Sheng Jin
Ruijie Yao
Lumin Xu
Wentao Liu
Chao Qian
Ji Wu
Ping Luo
48
2
0
30 Apr 2024
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in
  the Wild
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild
Donggyun Kim
Seongwoong Cho
Semin Kim
Chong Luo
Seunghoon Hong
VLM
45
2
0
29 Apr 2024
One-Shot Image Restoration
One-Shot Image Restoration
Deborah Pereg
SupR
29
1
0
26 Apr 2024
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named
  Entity Recognition
A Unified Label-Aware Contrastive Learning Framework for Few-Shot Named Entity Recognition
Haojie Zhang
Yimeng Zhuang
43
0
0
26 Apr 2024
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer
  Learning for Skin Disease Classification in Long-Tail Distribution
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution
Zeynep Özdemir
H. Keles
Ö. Ö. Tanriöver
36
0
0
25 Apr 2024
Conditional Distribution Modelling for Few-Shot Image Synthesis with
  Diffusion Models
Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models
Parul Gupta
Munawar Hayat
Abhinav Dhall
Thanh-Toan Do
DiffM
46
1
0
25 Apr 2024
Flatness Improves Backbone Generalisation in Few-shot Classification
Flatness Improves Backbone Generalisation in Few-shot Classification
Rui Li
Martin Trapp
Marcus Klasson
Arno Solin
45
0
0
11 Apr 2024
An Effective Automated Speaking Assessment Approach to Mitigating Data Scarcity and Imbalanced Distribution
An Effective Automated Speaking Assessment Approach to Mitigating Data Scarcity and Imbalanced Distribution
Tien-Hong Lo
Fu-An Chao
Tzu-I Wu
Yao-Ting Sung
Berlin Chen
23
3
0
11 Apr 2024
Using Few-Shot Learning to Classify Primary Lung Cancer and Other Malignancy with Lung Metastasis in Cytological Imaging via Endobronchial Ultrasound Procedures
Using Few-Shot Learning to Classify Primary Lung Cancer and Other Malignancy with Lung Metastasis in Cytological Imaging via Endobronchial Ultrasound Procedures
Ching-Kai Lin
Di-Chun Wei
Yun-Chien Cheng
34
0
0
09 Apr 2024
FedSelect: Personalized Federated Learning with Customized Selection of
  Parameters for Fine-Tuning
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning
Rishub Tamirisa
Chulin Xie
Wenxuan Bao
Andy Zhou
Ron Arel
Aviv Shamsian
33
6
0
03 Apr 2024
Advancing Extrapolative Predictions of Material Properties through
  Learning to Learn
Advancing Extrapolative Predictions of Material Properties through Learning to Learn
Kohei Noda
Araki Wakiuchi
Yoshihiro Hayashi
Ryo Yoshida
AI4CE
40
0
0
25 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for
  Neural Networks
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks
Tangjun Wang
Chenglong Bao
Zuoqiang Shi
DiffM
49
0
0
23 Mar 2024
Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented
  Device-Informed Data Simulation
Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented Device-Informed Data Simulation
Jiyi Chen
Pengyu Li
Yutong Wang
Pei-Cheng Ku
Qing Qu
29
3
0
19 Mar 2024
MENTOR: Multilingual tExt detectioN TOward leaRning by analogy
MENTOR: Multilingual tExt detectioN TOward leaRning by analogy
Hsin-Ju Lin
Tsu-Chun Chung
Ching-Chun Hsiao
Pin-Yu Chen
Wei-Chen Chiu
Ching-Chun Huang
27
0
0
12 Mar 2024
Neural Additive Image Model: Interpretation through Interpolation
Neural Additive Image Model: Interpretation through Interpolation
Arik Reuter
Anton Thielmann
Benjamin Saefken
DiffM
34
1
0
06 Mar 2024
VRP-SAM: SAM with Visual Reference Prompt
VRP-SAM: SAM with Visual Reference Prompt
Yanpeng Sun
Jiahui Chen
Shan Zhang
Xinyu Zhang
Qiang Chen
Gang Zhang
Errui Ding
Jingdong Wang
Zechao Li
52
31
0
27 Feb 2024
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for
  Optimized Learning Fusion
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion
Zijun Long
George Killick
Lipeng Zhuang
Gerardo Aragon Camarasa
Zaiqiao Meng
R. McCreadie
VLM
50
2
0
22 Feb 2024
HyperFast: Instant Classification for Tabular Data
HyperFast: Instant Classification for Tabular Data
David Bonet
D. M. Montserrat
Xavier Giró-i-Nieto
A. Ioannidis
46
15
0
22 Feb 2024
Active Few-Shot Fine-Tuning
Active Few-Shot Fine-Tuning
Jonas Hübotter
Bhavya Sukhija
Lenart Treven
Yarden As
Andreas Krause
42
1
0
13 Feb 2024
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via
  Temporal-Viewpoint Alignment
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment
Lei Wang
Jun Liu
Liang Zheng
Tom Gedeon
Piotr Koniusz
30
9
0
07 Feb 2024
Efficient Availability Attacks against Supervised and Contrastive
  Learning Simultaneously
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously
Yihan Wang
Yifan Zhu
Xiao-Shan Gao
AAML
25
6
0
06 Feb 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base
  Classes
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes
Raphael Lafargue
Yassir Bendou
Bastien Pasdeloup
J. Diguet
Ian Reid
Vincent Gripon
Jack Valmadre
39
0
0
29 Jan 2024
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental
  Learning
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning
Songsong Tian
Lusi Li
Weijun Li
Hang Ran
Li Li
X. Ning
CLL
VLM
36
3
0
26 Jan 2024
Noise Contrastive Estimation-based Matching Framework for Low-Resource
  Security Attack Pattern Recognition
Noise Contrastive Estimation-based Matching Framework for Low-Resource Security Attack Pattern Recognition
Tu Nguyen
Nedim Srndic
Alexander Neth
AAML
37
3
0
18 Jan 2024
Any-Way Meta Learning
Any-Way Meta Learning
Junhoo Lee
Yearim Kim
Hyunho Lee
Nojun Kwak
29
0
0
10 Jan 2024
Low-Resource Vision Challenges for Foundation Models
Low-Resource Vision Challenges for Foundation Models
Yunhua Zhang
Hazel Doughty
Cees G. M. Snoek
VLM
30
5
0
09 Jan 2024
Improving Intrusion Detection with Domain-Invariant Representation
  Learning in Latent Space
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space
Padmaksha Roy
Tyler Cody
Himanshu Singhal
Kevin Choi
Ming Jin
OOD
26
1
0
28 Dec 2023
Exploring intra-task relations to improve meta-learning algorithms
Exploring intra-task relations to improve meta-learning algorithms
P. Agarwal
Shreya Singh
OOD
25
1
0
27 Dec 2023
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object
  Detection
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection
Hefei Mei
Taijin Zhao
Shiyuan Tang
Heqian Qiu
Lanxiao Wang
Minjian Zhang
Fanman Meng
Hongliang Li
ObjD
27
1
0
27 Dec 2023
DARNet: Bridging Domain Gaps in Cross-Domain Few-Shot Segmentation with
  Dynamic Adaptation
DARNet: Bridging Domain Gaps in Cross-Domain Few-Shot Segmentation with Dynamic Adaptation
Haoran Fan
Qi Fan
M. Pagnucco
Yang Song
19
3
0
08 Dec 2023
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation
Yuan Wang
Naisong Luo
Tianzhu Zhang
36
11
0
29 Nov 2023
CUCL: Codebook for Unsupervised Continual Learning
CUCL: Codebook for Unsupervised Continual Learning
Chen Cheng
Jingkuan Song
Xiaosu Zhu
Junchen Zhu
Lianli Gao
H. Shen
CLL
25
2
0
25 Nov 2023
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial
  Beauty Prediction
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction
Luojun Lin
Zhifeng Shen
Jia-Li Yin
Qipeng Liu
Yuanlong Yu
Weijie Chen
CVBM
26
4
0
23 Nov 2023
Meta-learning of semi-supervised learning from tasks with heterogeneous
  attribute spaces
Meta-learning of semi-supervised learning from tasks with heterogeneous attribute spaces
Tomoharu Iwata
Atsutoshi Kumagai
24
2
0
09 Nov 2023
Two Complementary Perspectives to Continual Learning: Ask Not Only What
  to Optimize, But Also How
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How
Timm Hess
Tinne Tuytelaars
Gido M. van de Ven
41
7
0
08 Nov 2023
OpenForest: A data catalogue for machine learning in forest monitoring
OpenForest: A data catalogue for machine learning in forest monitoring
Arthur Ouaknine
T. Kattenborn
Etienne Laliberté
David Rolnick
45
5
0
01 Nov 2023
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot
  Document-Level Relation Extraction
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction
Shiao Meng
Xuming Hu
Aiwei Liu
Shuang Li
Fukun Ma
Yawen Yang
Lijie Wen
35
7
0
24 Oct 2023
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity
  Recognition
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition
Megha Thukral
H. Haresamudram
Thomas Ploetz
31
4
0
22 Oct 2023
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