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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 / 3,260 papers shown
Title
Statistically-Guided Dual-Domain Meta-Learning with Adaptive Multi-Prototype Aggregation for Distributed Fiber Optic Sensing
Statistically-Guided Dual-Domain Meta-Learning with Adaptive Multi-Prototype Aggregation for Distributed Fiber Optic Sensing
Yifan He
H. Zhang
Qiuheng Song
Lin Lei
Zhenxuan Zeng
Haoyang He
Hongyan Wu
108
0
0
24 Dec 2025
Enhancing Conformal Prediction via Class Similarity
Enhancing Conformal Prediction via Class Similarity
Ariel Fargion
Lahav Dabah
Tom Tirer
107
0
0
24 Nov 2025
Breaking Forgetting: Training-Free Few-Shot Class-Incremental Learning via Conditional Diffusion
Breaking Forgetting: Training-Free Few-Shot Class-Incremental Learning via Conditional Diffusion
Haidong Kang
Ketong Qian
Yi Lu
CLL
204
0
0
23 Nov 2025
Matching-Based Few-Shot Semantic Segmentation Models Are Interpretable by Design
Matching-Based Few-Shot Semantic Segmentation Models Are Interpretable by Design
Pasquale De Marinis
Uzay Kaymak
Rogier Brussee
G. Vessio
Giovanna Castellano
124
0
0
22 Nov 2025
Free Lunch to Meet the Gap: Intermediate Domain Reconstruction for Cross-Domain Few-Shot Learning
Free Lunch to Meet the Gap: Intermediate Domain Reconstruction for Cross-Domain Few-Shot LearningInternational Journal of Computer Vision (IJCV), 2025
Tong-yi Zhang
Yifan Zhao
Liangyu Wang
Jia Li
135
1
0
18 Nov 2025
Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size?
Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size?
Xuanyu Chen
Nan Yang
Shuai Wang
Dong Yuan
FedML
266
0
0
15 Nov 2025
Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation
Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation
Runmin Cong
Anpeng Wang
Bin Wan
Cong Zhang
Xiaofei Zhou
Wei Zhang
116
0
0
11 Nov 2025
Data Descriptions from Large Language Models with Influence Estimation
Data Descriptions from Large Language Models with Influence Estimation
Chaeri Kim
Jaeyeon Bae
Taehwan Kim
73
0
0
11 Nov 2025
AGENet: Adaptive Edge-aware Geodesic Distance Learning for Few-Shot Medical Image Segmentation
AGENet: Adaptive Edge-aware Geodesic Distance Learning for Few-Shot Medical Image Segmentation
Ziyuan Gao
72
0
0
11 Nov 2025
FreqGRL: Suppressing Low-Frequency Bias and Mining High-Frequency Knowledge for Cross-Domain Few-Shot Learning
FreqGRL: Suppressing Low-Frequency Bias and Mining High-Frequency Knowledge for Cross-Domain Few-Shot Learning
Siqi Hui
Sanping Zhou
Ye Deng
Wenli Huang
Jinjun Wang
83
0
0
10 Nov 2025
Toward Better Generalization in Few-Shot Learning through the Meta-Component Combination
Toward Better Generalization in Few-Shot Learning through the Meta-Component Combination
Qiuhao Zeng
94
0
0
07 Nov 2025
Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering
Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering
Hossein Abdi
Mingfei Sun
Wei Pan
VLM
205
0
0
03 Nov 2025
Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications
Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free ApplicationsInternational Conference on Machine Learning (ICML), 2025
Zixuan Hu
Yongxian Wei
Li Shen
Zhenyi Wang
Lei Li
Chun Yuan
Dacheng Tao
116
8
0
31 Oct 2025
Few-Shot Remote Sensing Image Scene Classification with CLIP and Prompt Learning
Few-Shot Remote Sensing Image Scene Classification with CLIP and Prompt Learning
I. Dimitrovski
Vlatko Spasev
Ivan Kitanovski
VLM
279
0
0
28 Oct 2025
MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning
MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning
Han Wu
Jie Yin
121
0
0
27 Oct 2025
Connectome-Guided Automatic Learning Rates for Deep Networks
Connectome-Guided Automatic Learning Rates for Deep Networks
Peilin He
Tananun Songdechakraiwut
ODLOOD
280
0
0
27 Oct 2025
Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations
Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations
Faisal Hamman
Pasan Dissanayake
Yanjun Fu
Sanghamitra Dutta
108
1
0
24 Oct 2025
CO-PFL: Contribution-Oriented Personalized Federated Learning for Heterogeneous Networks
CO-PFL: Contribution-Oriented Personalized Federated Learning for Heterogeneous Networks
Ke Xing
Yanjie Dong
Xiaoyi Fan
Runhao Zeng
Victor C. M. Leung
M. Jamal Deen
Xiping Hu
FedML
128
0
0
23 Oct 2025
Neural Variational Dropout Processes
Neural Variational Dropout ProcessesInternational Conference on Learning Representations (ICLR), 2025
Insu Jeon
Youngjin Park
Gunhee Kim
BDLUQCV
271
3
0
22 Oct 2025
Enhancing Few-Shot Classification of Benchmark and Disaster Imagery with ATTBHFA-Net
Enhancing Few-Shot Classification of Benchmark and Disaster Imagery with ATTBHFA-Net
G. Lee
Tanmoy Dam
Md Meftahul Ferdaus
Daniel Puiu Poenar
Vu N. Duong
97
0
0
21 Oct 2025
Image augmentation with invertible networks in interactive satellite image change detection
Image augmentation with invertible networks in interactive satellite image change detection
Hichem Sahbi
161
0
0
21 Oct 2025
ProtoMol: Enhancing Molecular Property Prediction via Prototype-Guided Multimodal Learning
ProtoMol: Enhancing Molecular Property Prediction via Prototype-Guided Multimodal Learning
Yingxu Wang
Kunyu Zhang
Jiaxin Huang
Nan Yin
Siwei Liu
Eran Segal
112
2
0
19 Oct 2025
ProtoTopic: Prototypical Network for Few-Shot Medical Topic Modeling
ProtoTopic: Prototypical Network for Few-Shot Medical Topic Modeling
Martin Licht
Sara Ketabi
Farzad Khalvati
MedIm
72
0
0
15 Oct 2025
Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learning
Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Hao Tang
Shengfeng He
Jing Qin
152
2
0
13 Oct 2025
FML-bench: A Benchmark for Automatic ML Research Agents Highlighting the Importance of Exploration Breadth
FML-bench: A Benchmark for Automatic ML Research Agents Highlighting the Importance of Exploration Breadth
Qiran Zou
Hou Hei Lam
Wenhao Zhao
Yiming Tang
Tingting Chen
S. Yu
Tianyi Zhang
Chang Liu
X. Ji
Dianbo Liu
LLMAG
117
0
0
12 Oct 2025
Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation
Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation
Xiaofeng Cao
Mingwei Xu
Xin Yu
Jiangchao Yao
Wei Ye
...
Minling Zhang
Ivor Tsang
Yew-Soon Ong
James T. Kwok
Heng Tao Shen
140
3
0
10 Oct 2025
On the Alignment Between Supervised and Self-Supervised Contrastive Learning
On the Alignment Between Supervised and Self-Supervised Contrastive Learning
Achleshwar Luthra
Priyadarsi Mishra
Tomer Galanti
SSL
163
0
0
09 Oct 2025
Label-frugal satellite image change detection with generative virtual exemplar learning
Label-frugal satellite image change detection with generative virtual exemplar learning
Hichem Sahbi
124
0
0
08 Oct 2025
Combined Hyperbolic and Euclidean Soft Triple Loss Beyond the Single Space Deep Metric Learning
Combined Hyperbolic and Euclidean Soft Triple Loss Beyond the Single Space Deep Metric Learning
Shozo Saeki
Minoru Kawahara
Hirohisa Aman
92
0
0
07 Oct 2025
BuilderBench -- A benchmark for generalist agents
BuilderBench -- A benchmark for generalist agents
Raj Ghugare
Catherine Ji
Kathryn Wantlin
Jin Schofield
Benjamin Eysenbach
120
1
0
07 Oct 2025
ContextNav: Towards Agentic Multimodal In-Context Learning
ContextNav: Towards Agentic Multimodal In-Context Learning
Honghao Fu
Yuan Ouyang
Kai-Wei Chang
Yiwei Wang
Zi Huang
Yujun Cai
160
0
0
06 Oct 2025
Attention-Enhanced Prototypical Learning for Few-Shot Infrastructure Defect Segmentation
Attention-Enhanced Prototypical Learning for Few-Shot Infrastructure Defect Segmentation
Christina Thrainer
Md Meftahul Ferdaus
Mahdi Abdelguerfi
Christian Guetl
Steven Sloan
Kendall N. Niles
Ken Pathak
88
0
0
06 Oct 2025
Using predefined vector systems as latent space configuration for neural network supervised training on data with arbitrarily large number of classes
Using predefined vector systems as latent space configuration for neural network supervised training on data with arbitrarily large number of classes
Nikita Gabdullin
132
2
0
05 Oct 2025
Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL
Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL
Ruitao Wu
Yifan Zhao
Guangyao Chen
Jia Li
191
0
0
04 Oct 2025
Provenance Networks: End-to-End Exemplar-Based Explainability
Provenance Networks: End-to-End Exemplar-Based Explainability
Ali Kayyam
Anusha Madan Gopal
M. Anthony Lewis
BDL
92
0
0
03 Oct 2025
Task-Level Contrastiveness for Cross-Domain Few-Shot Learning
Task-Level Contrastiveness for Cross-Domain Few-Shot Learning
Kristi Topollai
A. Choromańska
108
0
0
03 Oct 2025
GLAI: GreenLightningAI for Accelerated Training through Knowledge Decoupling
GLAI: GreenLightningAI for Accelerated Training through Knowledge Decoupling
Jose I. Mestre
Alberto Fernández-Hernández
Cristian Pérez-Corral
Manuel F. Dolz
Jose Duato
Enrique S. Quintana-Ortí
165
0
0
01 Oct 2025
Continual Learning with Query-Only Attention
Continual Learning with Query-Only Attention
Gautham Udayakumar Bekal
Ashish Pujari
Scott David Kelly
CLL
240
0
0
01 Oct 2025
"Stop replacing salt with sugar!'': Towards Intuitive Human-Agent Teaching
"Stop replacing salt with sugar!'': Towards Intuitive Human-Agent Teaching
Nikolaos Kondylidis
Andrea Rafanelli
Ilaria Tiddi
A. T. Teije
F. V. Harmelen
72
0
0
29 Sep 2025
VT-FSL: Bridging Vision and Text with LLMs for Few-Shot Learning
VT-FSL: Bridging Vision and Text with LLMs for Few-Shot Learning
Wenhao Li
Qiangchang Wang
Xianjing Meng
Z. Wu
Yilong Yin
VLM
280
0
0
29 Sep 2025
MetaChest: Generalized few-shot learning of pathologies from chest X-rays
MetaChest: Generalized few-shot learning of pathologies from chest X-rays
Berenice Montalvo-Lezama
Gibran Fuentes-Pineda
116
0
0
29 Sep 2025
Adaptive Policy Backbone via Shared Network
Adaptive Policy Backbone via Shared Network
Bumgeun Park
Donghwan Lee
OffRLOnRL
148
0
0
26 Sep 2025
Automatic Red Teaming LLM-based Agents with Model Context Protocol Tools
Automatic Red Teaming LLM-based Agents with Model Context Protocol Tools
Ping He
Changjiang Li
Xingshuang Lin
Xuhong Zhang
R. Beyah
LLMAGAAML
146
1
0
25 Sep 2025
MoTiC: Momentum Tightness and Contrast for Few-Shot Class-Incremental Learning
MoTiC: Momentum Tightness and Contrast for Few-Shot Class-Incremental Learning
Zeyu He
Shuai Huang
Yuwu Lu
Ming Zhao
CLL
88
0
0
24 Sep 2025
Adaptive Model Ensemble for Continual Learning
Adaptive Model Ensemble for Continual Learning
Yuchuan Mao
Zhi Gao
Xiaomeng Fan
Yuwei Wu
Yunde Jia
Chenchen Jing
CLLKELM
100
0
0
24 Sep 2025
A$^2$M$^2$-Net: Adaptively Aligned Multi-Scale Moment for Few-Shot Action Recognition
A2^22M2^22-Net: Adaptively Aligned Multi-Scale Moment for Few-Shot Action RecognitionInternational Journal of Computer Vision (IJCV), 2025
Zilin Gao
Qilong Wang
Bingbing Zhang
Q. Hu
P. Li
124
0
0
22 Sep 2025
Statistical Insight into Meta-Learning via Predictor Subspace Characterization and Quantification of Task Diversity
Statistical Insight into Meta-Learning via Predictor Subspace Characterization and Quantification of Task Diversity
Saptati Datta
Nicolas W. Hengartner
Yulia Pimonova
Natalie E. Klein
Nicholas Lubbers
112
0
0
22 Sep 2025
Dual-View Alignment Learning with Hierarchical-Prompt for Class-Imbalance Multi-Label Classification
Dual-View Alignment Learning with Hierarchical-Prompt for Class-Imbalance Multi-Label ClassificationIEEE Transactions on Image Processing (IEEE TIP), 2025
Sheng Huang
Jiexuan Yan
B. Liu
Bo Liu
Richang Hong
VLM
132
0
0
22 Sep 2025
TS-P$^2$CL: Plug-and-Play Dual Contrastive Learning for Vision-Guided Medical Time Series Classification
TS-P2^22CL: Plug-and-Play Dual Contrastive Learning for Vision-Guided Medical Time Series Classification
Qiáo Xu
Pengfei Wang
Bo Zhong
Tianwen Qian
Xiaoling Wang
Ye Wang
Hong-ye Yu
AI4TSVLM
92
0
0
22 Sep 2025
White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation
White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation
Jiyun Im
Subeen Lee
Miso Lee
Jae-Pil Heo
3DPC
180
0
0
17 Sep 2025
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