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Prototypical Networks for Few-shot Learning

Prototypical Networks for Few-shot Learning

15 March 2017
Jake C. Snell
Kevin Swersky
R. Zemel
ArXivPDFHTML

Papers citing "Prototypical Networks for Few-shot Learning"

50 / 1,321 papers shown
Title
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
Long Zhou
Fereshteh Shakeri
Aymen Sadraoui
Mounir Kaaniche
J. Pesquet
Ismail Ben Ayed
VLM
86
0
0
21 Dec 2024
Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition
Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition
Wenwen Qiang
Yuxuan Yang
Jingyao Wang
Changwen Zheng
80
0
0
18 Dec 2024
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
Yilong Wang
Zilin Gao
Qilong Wang
Zhaofeng Chen
P. Li
Q. Hu
84
1
0
28 Nov 2024
SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask
  Propagation and Auto-prompting
SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting
Jie Xu
Xiaokang Li
Chengyu Yue
Yuanyuan Wang
Yi Guo
MedIm
81
1
0
26 Nov 2024
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation
Chong Wang
Fengbei Liu
Yuanhong Chen
Helen Frazer
Gustavo Carneiro
36
2
0
07 Nov 2024
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Yuchen He
Xiangfeng Wang
CLL
FedML
40
0
0
04 Nov 2024
FPPL: An Efficient and Non-IID Robust Federated Continual Learning
  Framework
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework
Yuchen He
Chuyun Shen
Xiangfeng Wang
Bo Jin
FedML
32
1
0
04 Nov 2024
Prospective Learning: Learning for a Dynamic Future
Prospective Learning: Learning for a Dynamic Future
Ashwin De Silva
Rahul Ramesh
Rubing Yang
Siyu Yu
Joshua T. Vogelstein
Pratik Chaudhari
AI4TS
91
0
0
31 Oct 2024
ResiDual Transformer Alignment with Spectral Decomposition
ResiDual Transformer Alignment with Spectral Decomposition
Lorenzo Basile
Valentino Maiorca
Luca Bortolussi
Emanuele Rodolà
Francesco Locatello
58
1
0
31 Oct 2024
Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation
Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation
Zhaochong An
Guolei Sun
Yun Liu
Runjia Li
Min Wu
Ming-Ming Cheng
Ender Konukoglu
Serge Belongie
66
4
0
29 Oct 2024
Integrated Image-Text Based on Semi-supervised Learning for Small Sample
  Instance Segmentation
Integrated Image-Text Based on Semi-supervised Learning for Small Sample Instance Segmentation
Ruting Chi
Zhiyi Huang
Yuexing Han
ISeg
43
0
0
21 Oct 2024
Few-Shot Joint Multimodal Entity-Relation Extraction via Knowledge-Enhanced Cross-modal Prompt Model
Few-Shot Joint Multimodal Entity-Relation Extraction via Knowledge-Enhanced Cross-modal Prompt Model
Li Yuan
Yi Cai
Junsheng Huang
VLM
41
2
0
18 Oct 2024
DRACO-DehazeNet: An Efficient Image Dehazing Network Combining Detail Recovery and a Novel Contrastive Learning Paradigm
DRACO-DehazeNet: An Efficient Image Dehazing Network Combining Detail Recovery and a Novel Contrastive Learning Paradigm
G. Lee
T. Dam
Md Meftahul Ferdaus
Daniel Puiu Poenar
Vu N. Duong
42
0
0
18 Oct 2024
Task Consistent Prototype Learning for Incremental Few-shot Semantic
  Segmentation
Task Consistent Prototype Learning for Incremental Few-shot Semantic Segmentation
Wenbo Xu
Yanan Wu
Haoran Jiang
Yang Wang
Qiang Wu
Jian Zhang
CLL
VLM
33
0
0
16 Oct 2024
CLOSER: Towards Better Representation Learning for Few-Shot
  Class-Incremental Learning
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning
Junghun Oh
Sungyong Baik
Kyoung Mu Lee
CLL
47
3
0
08 Oct 2024
Topic-aware Causal Intervention for Counterfactual Detection
Topic-aware Causal Intervention for Counterfactual Detection
Thong Nguyen
Truc-My Nguyen
31
1
0
25 Sep 2024
Across-Game Engagement Modelling via Few-Shot Learning
Across-Game Engagement Modelling via Few-Shot Learning
Kosmas Pinitas
Konstantinos Makantasis
Georgios N. Yannakakis
31
1
0
19 Sep 2024
Few-Shot Learning Approach on Tuberculosis Classification Based on Chest
  X-Ray Images
Few-Shot Learning Approach on Tuberculosis Classification Based on Chest X-Ray Images
A.A.G. Yogi Pramana
Faiz Ihza Permana
Muhammad Fazil Maulana
D. Fudholi
21
2
0
18 Sep 2024
LC-Protonets: Multi-Label Few-Shot Learning for World Music Audio Tagging
LC-Protonets: Multi-Label Few-Shot Learning for World Music Audio Tagging
Charilaos Papaioannou
Emmanouil Benetos
Alexandros Potamianos
36
0
0
17 Sep 2024
Personalized Speech Emotion Recognition in Human-Robot Interaction using Vision Transformers
Personalized Speech Emotion Recognition in Human-Robot Interaction using Vision Transformers
Ruchik Mishra
Andrew Frye
M. M. Rayguru
Dan O. Popa
39
1
0
16 Sep 2024
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
Hugo Porta
Emanuele Dalsasso
Diego Marcos
D. Tuia
95
0
0
14 Sep 2024
Rethinking Meta-Learning from a Learning Lens
Rethinking Meta-Learning from a Learning Lens
Wenwen Qiang
Jingyao Wang
Chuxiong Sun
Jiangmeng Li
Jiangmeng Li
54
1
0
13 Sep 2024
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity
Junkun Chen
Jilin Mei
Liang Chen
Fangzhou Zhao
Yu Hu
Yu Hu
ObjD
48
0
0
09 Sep 2024
Large Margin Prototypical Network for Few-shot Relation Classification
  with Fine-grained Features
Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features
M. Fan
Yeqi Bai
Mingming Sun
Ping Li
36
32
0
06 Sep 2024
A New First-Order Meta-Learning Algorithm with Convergence Guarantees
A New First-Order Meta-Learning Algorithm with Convergence Guarantees
El Mahdi Chayti
Martin Jaggi
32
1
0
05 Sep 2024
FungiTastic: A multi-modal dataset and benchmark for image categorization
FungiTastic: A multi-modal dataset and benchmark for image categorization
Lukás Picek
Klara Janouskova
Milan Šulc
Jirí Matas
77
1
0
24 Aug 2024
Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors
Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors
Manuele Rusci
Francesco Paci
Marco Fariselli
Eric Flamand
Tinne Tuytelaars
38
0
0
22 Aug 2024
Meta-Learning Guided Label Noise Distillation for Robust Signal
  Modulation Classification
Meta-Learning Guided Label Noise Distillation for Robust Signal Modulation Classification
Xiaoyang Hao
Zhixi Feng
Tongqing Peng
Shuyuan Yang
NoLa
43
5
0
09 Aug 2024
Joint Neural Networks for One-shot Object Recognition and Detection
Joint Neural Networks for One-shot Object Recognition and Detection
Camilo Vargas
Qianni Zhang
E. Izquierdo
ObjD
VLM
48
0
0
01 Aug 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Cheems Wang
Yiqin Lv
Yixiu Mao
Yun Qu
Yi Tian Xu
Xiangyang Ji
OOD
TTA
79
7
0
28 Jul 2024
Enhancing Dysarthric Speech Recognition for Unseen Speakers via
  Prototype-Based Adaptation
Enhancing Dysarthric Speech Recognition for Unseen Speakers via Prototype-Based Adaptation
Shiyao Wang
Shiwan Zhao
Jiaming Zhou
Aobo Kong
Yong Qin
39
4
0
26 Jul 2024
MetaAug: Meta-Data Augmentation for Post-Training Quantization
MetaAug: Meta-Data Augmentation for Post-Training Quantization
Cuong Pham
Hoang Anh Dung
Cuong C. Nguyen
Trung Le
Dinh Q. Phung
Gustavo Carneiro
Thanh-Toan Do
MQ
46
0
0
20 Jul 2024
A Comprehensive Review of Few-shot Action Recognition
A Comprehensive Review of Few-shot Action Recognition
Yuyang Wanyan
Xiaoshan Yang
Weiming Dong
Changsheng Xu
VLM
80
3
0
20 Jul 2024
Novel Deep Neural Network Classifier Characterization Metrics with
  Applications to Dataless Evaluation
Novel Deep Neural Network Classifier Characterization Metrics with Applications to Dataless Evaluation
Nathaniel R. Dean
Dilip Sarkar
35
0
0
17 Jul 2024
A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry
A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry
Martin Lindström
Borja Rodríguez Gálvez
Ragnar Thobaben
Mikael Skoglund
40
0
0
10 Jul 2024
Cross-Architecture Auxiliary Feature Space Translation for Efficient
  Few-Shot Personalized Object Detection
Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection
F. Barbato
Umberto Michieli
J. Moon
Pietro Zanuttigh
Mete Ozay
44
2
0
01 Jul 2024
The Balanced-Pairwise-Affinities Feature Transform
The Balanced-Pairwise-Affinities Feature Transform
Daniel Shalam
Simon Korman
48
0
0
25 Jun 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware
  Prompting
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
Tiange Zhang
Qing Cai
Feng Gao
Lin Qi
Junyu Dong
42
1
0
24 Jun 2024
Towards Exact Computation of Inductive Bias
Towards Exact Computation of Inductive Bias
Akhilan Boopathy
William Yue
Jaedong Hwang
Abhiram Iyer
Ila Fiete
44
0
0
22 Jun 2024
First-Order Methods for Linearly Constrained Bilevel Optimization
First-Order Methods for Linearly Constrained Bilevel Optimization
Guy Kornowski
Swati Padmanabhan
Kai Wang
Zhe Zhang
S. Sra
82
5
0
18 Jun 2024
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers
Guangtao Zheng
Wenqian Ye
Aidong Zhang
54
1
0
15 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
Few-Shot Anomaly Detection via Category-Agnostic Registration Learning
Few-Shot Anomaly Detection via Category-Agnostic Registration Learning
Chaoqin Huang
Haoyan Guan
Aofan Jiang
Yanfeng Wang
Michael W. Spratling
Xinchao Wang
Ya Zhang
59
0
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
82
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
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
32
3
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
34
0
0
09 Jun 2024
OVMR: Open-Vocabulary Recognition with Multi-Modal References
OVMR: Open-Vocabulary Recognition with Multi-Modal References
Zehong Ma
Shiliang Zhang
Longhui Wei
Qi Tian
VLM
44
0
0
07 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
TE-NeXt: A LiDAR-Based 3D Sparse Convolutional Network for Traversability Estimation
TE-NeXt: A LiDAR-Based 3D Sparse Convolutional Network for Traversability Estimation
Antonio Santo
J. J. Cabrera
David Valiente
C. Viegas
Arturo Gil
3DPC
3DV
50
1
0
03 Jun 2024
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