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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 / 3,265 papers shown
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A
  Meta-Learning Approach
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach
Georgios Tsoumplekas
C. Athanasiadis
Dimitrios I. Doukas
Antonios C. Chrysopoulos
P. Mitkas
AI4TS
220
10
0
09 Jun 2024
Anomaly Multi-classification in Industrial Scenarios: Transferring
  Few-shot Learning to a New Task
Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task
Jie Liu
Yao Wu
Xiaotong Luo
Zongze Wu
276
1
0
09 Jun 2024
Fighting Against the Repetitive Training and Sample Dependency Problem
  in Few-shot Named Entity Recognition
Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity RecognitionIEEE Access (IEEE Access), 2024
Chang Tian
Wenpeng Yin
Dan Li
Marie-Francine Moens
287
8
0
08 Jun 2024
OVMR: Open-Vocabulary Recognition with Multi-Modal References
OVMR: Open-Vocabulary Recognition with Multi-Modal ReferencesComputer Vision and Pattern Recognition (CVPR), 2024
Zehong Ma
Shiliang Zhang
Longhui Wei
Qi Tian
VLM
335
3
0
07 Jun 2024
Cooperative Meta-Learning with Gradient Augmentation
Cooperative Meta-Learning with Gradient AugmentationConference on Uncertainty in Artificial Intelligence (UAI), 2024
Jongyun Shin
Seunjin Han
Jangho Kim
VLM
196
3
0
07 Jun 2024
Tensor Polynomial Additive Model
Tensor Polynomial Additive Model
Yang Chen
Ce Zhu
Jiani Liu
Yipeng Liu
TPM
182
0
0
05 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
395
1
0
05 Jun 2024
System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization
System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization
Jixiang Qing
Becky D Langdon
Robert M. Lee
B. Shafei
Mark van der Wilk
Calvin Tsay
Ruth Misener
259
3
0
04 Jun 2024
Few-Shot Classification of Interactive Activities of Daily Living
  (InteractADL)
Few-Shot Classification of Interactive Activities of Daily Living (InteractADL)
Zane Durante
Robathan Harries
Edward Vendrow
Zelun Luo
Yuta Kyuragi
Kazuki Kozuka
Fei-Fei Li
Ehsan Adeli
VLM
254
2
0
03 Jun 2024
Understanding the Cross-Domain Capabilities of Video-Based Few-Shot
  Action Recognition Models
Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models
Georgia Markham
M. Balamurali
Andrew J. Hill
401
3
0
03 Jun 2024
Profiled Transfer Learning for High Dimensional Linear Model
Profiled Transfer Learning for High Dimensional Linear Model
Ziqian Lin
Junlong Zhao
Fang Wang
Han Wang
317
5
0
02 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
290
0
0
01 Jun 2024
Multimodal Cross-Domain Few-Shot Learning for Egocentric Action
  Recognition
Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition
Masashi Hatano
Ryo Hachiuma
Ryoske Fujii
Hideo Saito
EgoV
452
15
0
30 May 2024
Learning Robust Correlation with Foundation Model for Weakly-Supervised
  Few-Shot Segmentation
Learning Robust Correlation with Foundation Model for Weakly-Supervised Few-Shot Segmentation
Xinyang Huang
Chuanglu Zhu
Kebin Liu
Ruiying Ren
Shengjie Liu
230
5
0
30 May 2024
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing
  Optimized Kernel Dependence
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
Hongduan Tian
Yifan Zhang
Tongliang Liu
Bo Du
Yiu-ming Cheung
Bo Han
201
3
0
29 May 2024
On the Limits of Multi-modal Meta-Learning with Auxiliary Task
  Modulation Using Conditional Batch Normalization
On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization
Jordi Armengol-Estapé
Vincent Michalski
Ramnath Kumar
P. St-Charles
Doina Precup
Samira Ebrahimi Kahou
319
0
0
29 May 2024
Compositional Few-Shot Class-Incremental Learning
Compositional Few-Shot Class-Incremental Learning
Yixiong Zou
Shanghang Zhang
Haichen Zhou
Yuhua Li
Ruixuan Li
CLL
159
19
0
27 May 2024
Unsupervised Meta-Learning via In-Context Learning
Unsupervised Meta-Learning via In-Context Learning
Anna Vettoruzzo
Lorenzo Braccaioli
Joaquin Vanschoren
M. Nowaczyk
SSL
361
3
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
389
9
0
24 May 2024
The Impact of Geometric Complexity on Neural Collapse in Transfer
  Learning
The Impact of Geometric Complexity on Neural Collapse in Transfer Learning
Michael Munn
Benoit Dherin
Javier Gonzalvo
AAML
265
5
0
24 May 2024
Towards Client Driven Federated Learning
Towards Client Driven Federated Learning
Songze Li
Chenqing Zhu
FedML
236
2
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
272
16
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
AI4CEDiffM
406
6
0
23 May 2024
Embedding Generalized Semantic Knowledge into Few-Shot Remote Sensing
  Segmentation
Embedding Generalized Semantic Knowledge into Few-Shot Remote Sensing Segmentation
Yuyu Jia
Wei Huang
Junyu Gao
Qi. Wang
Qiang Li
226
11
0
22 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
275
2
0
21 May 2024
Perturbing the Gradient for Alleviating Meta Overfitting
Perturbing the Gradient for Alleviating Meta Overfitting
Manas Gogoi
Sambhavi Tiwari
Shekhar Verma
229
1
0
20 May 2024
Image to Pseudo-Episode: Boosting Few-Shot Segmentation by Unlabeled
  Data
Image to Pseudo-Episode: Boosting Few-Shot Segmentation by Unlabeled DataSocial Science Research Network (SSRN), 2024
Jie Zhang
Yuhan Li
Yude Wang
Stephen Lin
Shiguang Shan
202
0
0
14 May 2024
Support-Query Prototype Fusion Network for Few-shot Medical Image
  Segmentation
Support-Query Prototype Fusion Network for Few-shot Medical Image Segmentation
Sissi Xiaoxiao Wu
Zhenguo Gao
Xiaowei Chen
Yakai Wang
Shulei Qu
Na Li
OOD
326
2
0
13 May 2024
Data-Efficient and Robust Task Selection for Meta-Learning
Data-Efficient and Robust Task Selection for Meta-Learning
Donglin Zhan
James Anderson
OOD
302
3
0
11 May 2024
Class-relevant Patch Embedding Selection for Few-Shot Image
  Classification
Class-relevant Patch Embedding Selection for Few-Shot Image Classification
Weihao Jiang
Haoyang Cui
Kun He
VLM
233
2
0
06 May 2024
Intra-task Mutual Attention based Vision Transformer for Few-Shot
  Learning
Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning
Weihao Jiang
Yu Xie
Kun He
ViT
334
1
0
06 May 2024
A Survey of Few-Shot Learning for Biomedical Time Series
A Survey of Few-Shot Learning for Biomedical Time SeriesIEEE Reviews in Biomedical Engineering (RBME), 2024
Chenqi Li
Timothy Denison
Tingting Zhu
271
8
0
03 May 2024
Improving Concept Alignment in Vision-Language Concept Bottleneck Models
Improving Concept Alignment in Vision-Language Concept Bottleneck Models
Nithish Muthuchamy Selvaraj
Xiaobao Guo
Bingquan Shen
A. Kong
Alex C. Kot
VLM
323
0
0
03 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 RecognitionIEEE transactions on multimedia (IEEE TMM), 2024
Hongyu Qu
Rui Yan
Xiangbo Shu
Haoliang Gao
Peng Huang
Guo-Sen Xie
447
16
0
03 May 2024
Accelerating Convergence in Bayesian Few-Shot Classification
Accelerating Convergence in Bayesian Few-Shot ClassificationInternational Conference on Machine Learning (ICML), 2024
Tianjun Ke
Haoqun Cao
Feng Zhou
321
1
0
02 May 2024
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious
  Correlation
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
Min Zhang
Haoxuan Li
Leilei Gan
Kun Kuang
OODD
283
18
0
30 Apr 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
334
2
0
30 Apr 2024
PEFSL: A deployment Pipeline for Embedded Few-Shot Learning on a FPGA
  SoC
PEFSL: A deployment Pipeline for Embedded Few-Shot Learning on a FPGA SoC
Lucas Grativol Ribeiro
Lubin Gauthier
Mathieu Léonardon
Jérémy Morlier
Antoine Lavrard-Meyer
Guillaume Muller
Virginie Fresse
Matthieu Arzel
183
1
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
257
5
0
29 Apr 2024
One-Shot Image Restoration
One-Shot Image Restoration
Deborah Pereg
SupR
267
2
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
222
2
0
26 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
249
3
0
25 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
219
3
0
25 Apr 2024
A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset
A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-datasetScientific Data (Sci Data), 2024
S. Woerner
Arthur Jaques
Christian F. Baumgartner
VLM
324
2
0
24 Apr 2024
Learning-to-learn enables rapid learning with phase-change memory-based
  in-memory computing
Learning-to-learn enables rapid learning with phase-change memory-based in-memory computing
Thomas Ortner
Horst Petschenig
Athan Vasilopoulos
Roland Renner
Spela Brglez
Thomas Limbacher
Enrique Pinero
Alejandro Linares Barranco
A. Pantazi
Robert Legenstein
180
0
0
22 Apr 2024
FedMeS: Personalized Federated Continual Learning Leveraging Local
  Memory
FedMeS: Personalized Federated Continual Learning Leveraging Local Memory
Jingru Xie
Chenqi Zhu
Songze Li
FedMLCLL
262
1
0
19 Apr 2024
Meta-Auxiliary Learning for Micro-Expression Recognition
Meta-Auxiliary Learning for Micro-Expression Recognition
Wenwen Qiang
Yunhan Tian
Yuxuan Yang
Xiaoxin Chen
Changwen Zheng
Jingyao Wang
472
12
0
18 Apr 2024
Group-On: Boosting One-Shot Segmentation with Supportive Query
Group-On: Boosting One-Shot Segmentation with Supportive Query
Hanjing Zhou
Mingze Yin
Benlin Liu
Jian Wu
Jian Wu
VLMISeg
362
1
0
18 Apr 2024
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale
  Approach
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach
Mir Rayat Imtiaz Hossain
Mennatullah Siam
Leonid Sigal
James J. Little
VLM
265
20
0
17 Apr 2024
Context-Aware Siamese Networks for Efficient Emotion Recognition in
  Conversation
Context-Aware Siamese Networks for Efficient Emotion Recognition in Conversation
Barbara Gendron
Gaël Guibon
221
1
0
17 Apr 2024
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