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Prototypical Networks for Few-shot Learning
v1v2 (latest)

Prototypical Networks for Few-shot Learning

15 March 2017
Jake C. Snell
Kevin Swersky
R. Zemel
ArXiv (abs)PDFHTML

Papers citing "Prototypical Networks for Few-shot Learning"

50 / 3,468 papers shown
Title
CPT: Competence-progressive Training Strategy for Few-shot Node Classification
CPT: Competence-progressive Training Strategy for Few-shot Node Classification
Qilong Yan
Yufeng Zhang
Jinghao Zhang
Jingpu Duan
Jian Yin
220
0
0
01 Jul 2025
INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning
INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning
Wei Luo
Haiming Yao
Yunkang Cao
Qiyu Chen
Ang Gao
Weiming Shen
Weihang Zhang
131
0
0
01 Jul 2025
D$^2$ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition
D2^22ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition
Wenjie Pei
Qizhong Tan
Guangming Lu
Jiandong Tian
Jun Yu
146
3
0
01 Jul 2025
Universal Music Representations? Evaluating Foundation Models on World Music Corpora
Universal Music Representations? Evaluating Foundation Models on World Music Corpora
Charilaos Papaioannou
Emmanouil Benetos
Alexandros Potamianos
44
0
0
20 Jun 2025
Reliable Few-shot Learning under Dual Noises
Reliable Few-shot Learning under Dual Noises
Ji Zhang
Jingkuan Song
Lianli Gao
N. Sebe
Heng Tao Shen
NoLa
40
0
0
19 Jun 2025
Don't throw the baby out with the bathwater: How and why deep learning for ARC
Don't throw the baby out with the bathwater: How and why deep learning for ARC
Jack Cole
Mohamed Osman
LRM
55
0
0
17 Jun 2025
PictSure: Pretraining Embeddings Matters for In-Context Learning Image Classifiers
PictSure: Pretraining Embeddings Matters for In-Context Learning Image Classifiers
Lukas Schiesser
Cornelius Wolff
Sophie Haas
Simon Pukrop
VLM
20
0
0
16 Jun 2025
Few-Shot Learning for Industrial Time Series: A Comparative Analysis Using the Example of Screw-Fastening Process Monitoring
Few-Shot Learning for Industrial Time Series: A Comparative Analysis Using the Example of Screw-Fastening Process Monitoring
X. Tu
Haocheng Zhang
Tao Chengxu
Zuyi Chen
AI4TS
46
0
0
16 Jun 2025
Detecting Sockpuppetry on Wikipedia Using Meta-Learning
Detecting Sockpuppetry on Wikipedia Using Meta-Learning
Luc Raszewski
Christine De Kock
397
0
0
12 Jun 2025
Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation
Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation
Jintao Tong
Ran Ma
Yonghong Tian
Guangyao Chen
Yuhua Li
Ruixuan Li
21
0
0
09 Jun 2025
Generalized Incremental Learning under Concept Drift across Evolving Data Streams
Generalized Incremental Learning under Concept Drift across Evolving Data Streams
En Yu
Jie Lu
G. Zhang
CLL
77
0
0
06 Jun 2025
Hallucinate, Ground, Repeat: A Framework for Generalized Visual Relationship Detection
Hallucinate, Ground, Repeat: A Framework for Generalized Visual Relationship Detection
Shanmukha Vellamcheti
Sanjoy Kundu
Sathyanarayanan N. Aakur
72
0
0
06 Jun 2025
Vocabulary-free few-shot learning for Vision-Language Models
Vocabulary-free few-shot learning for Vision-Language Models
Maxime Zanella
Clément Fuchs
Ismail Ben Ayed
Christophe De Vleeschouwer
VLM
99
0
0
04 Jun 2025
Synthetic Speech Source Tracing using Metric Learning
Synthetic Speech Source Tracing using Metric Learning
Dimitrios Koutsianos
Stavros Zacharopoulos
Yannis Panagakis
Themos Stafylakis
66
0
0
03 Jun 2025
Can Vision Transformers with ResNet's Global Features Fairly Authenticate Demographic Faces?
Can Vision Transformers with ResNet's Global Features Fairly Authenticate Demographic Faces?
Abu Sufian
Marco Leo
Cosimo Distante
Anirudha Ghosh
Debaditya Barman
ViT
31
0
0
03 Jun 2025
RoNFA: Robust Neural Field-based Approach for Few-Shot Image Classification with Noisy Labels
RoNFA: Robust Neural Field-based Approach for Few-Shot Image Classification with Noisy Labels
Nan Xiang
Lifeng Xing
Dequan Jin
NoLa
35
0
0
03 Jun 2025
Random Registers for Cross-Domain Few-Shot Learning
Random Registers for Cross-Domain Few-Shot Learning
Shuai Yi
Yixiong Zou
Yuhua Li
Ruixuan Li
80
0
0
03 Jun 2025
Towards Auto-Annotation from Annotation Guidelines: A Benchmark through 3D LiDAR Detection
Towards Auto-Annotation from Annotation Guidelines: A Benchmark through 3D LiDAR Detection
Yechi Ma
Wei Hua
Shu Kong
68
0
0
03 Jun 2025
Overcoming Data Scarcity in Scanning Tunnelling Microscopy Image Segmentation
Overcoming Data Scarcity in Scanning Tunnelling Microscopy Image Segmentation
Nikola L. Kolev
Max Trouton
F. F. Canova
Geoff Thornton
D. Gao
Neil J. Curson
Taylor J. Z. Stock
75
0
0
02 Jun 2025
Unlearning's Blind Spots: Over-Unlearning and Prototypical Relearning Attack
Unlearning's Blind Spots: Over-Unlearning and Prototypical Relearning Attack
SeungBum Ha
Saerom Park
Sung Whan Yoon
MUCLL
90
0
1
02 Jun 2025
Bregman Centroid Guided Cross-Entropy Method
Bregman Centroid Guided Cross-Entropy Method
Yuliang Gu
H. Cao
Marco Caccamo
N. Hovakimyan
42
0
0
02 Jun 2025
Self-supervised Latent Space Optimization with Nebula Variational Coding
Self-supervised Latent Space Optimization with Nebula Variational Coding
Yida Wang
D. Tan
Nassir Navab
Federico Tombari
DRLSSL
85
1
0
02 Jun 2025
Performance Analysis of Few-Shot Learning Approaches for Bangla Handwritten Character and Digit Recognition
Performance Analysis of Few-Shot Learning Approaches for Bangla Handwritten Character and Digit Recognition
Mehedi Ahamed
Radib Bin Kabir
Tawsif Tashwar Dipto
M. Mushabbir
Sabbir Ahmed
M. H. Kabir
34
0
0
31 May 2025
The iNaturalist Sounds Dataset
The iNaturalist Sounds Dataset
Mustafa Chasmai
Alexander Shepard
Subhransu Maji
Grant Van Horn
46
2
0
31 May 2025
No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction
No Audiogram: Leveraging Existing Scores for Personalized Speech Intelligibility Prediction
Haoshuai Zhou
Changgeng Mo
Boxuan Cao
Linkai Li
Shan Xiang Wang
41
0
0
31 May 2025
Chameleon: A MatMul-Free Temporal Convolutional Network Accelerator for End-to-End Few-Shot and Continual Learning from Sequential Data
Chameleon: A MatMul-Free Temporal Convolutional Network Accelerator for End-to-End Few-Shot and Continual Learning from Sequential Data
Douwe den Blanken
Charlotte Frenkel
43
0
0
30 May 2025
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification
Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification
Xinliu Zhong
Leo Hwa Liang
Angela S. Koh
Yeo Si Yong
124
0
0
30 May 2025
Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift
Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift
Minh-Son To
Paul F RWilson
Viet Nguyen
Mohamed Harmanani
Michael Cooper
Fahimeh Fooladgar
Purang Abolmaesumi
Parvin Mousavi
Rahul G. Krishnan
53
0
0
29 May 2025
Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs
Generalized Category Discovery in Event-Centric Contexts: Latent Pattern Mining with LLMs
Yi Luo
Qiwen Wang
Junqi Yang
Luyao Tang
Zhenghao Lin
ZhenZhe Ying
Weiqiang Wang
Chen Lin
60
0
0
29 May 2025
Concentrate on Weakness: Mining Hard Prototypes for Few-Shot Medical Image Segmentation
Concentrate on Weakness: Mining Hard Prototypes for Few-Shot Medical Image Segmentation
Jianchao Jiang
Haofeng Zhang
62
0
0
28 May 2025
Frequency-Adaptive Discrete Cosine-ViT-ResNet Architecture for Sparse-Data Vision
Frequency-Adaptive Discrete Cosine-ViT-ResNet Architecture for Sparse-Data Vision
Ziyue Kang
Weichuan Zhang
36
0
0
28 May 2025
Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors
Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors
Haodong Lu
Xinyu Zhang
Kristen Moore
Jason Xue
Lina Yao
Anton van den Hengel
Dong Gong
CLLVLM
69
0
0
27 May 2025
Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective
Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective
Junnan Liu
Hongwei Liu
Linchen Xiao
Shudong Liu
Taolin Zhang
Zihan Ma
Songyang Zhang
Kai Chen
LRM
143
0
0
26 May 2025
Optimization-Inspired Few-Shot Adaptation for Large Language Models
Optimization-Inspired Few-Shot Adaptation for Large Language Models
Boyan Gao
Xin Wang
Yibo Yang
David A. Clifton
69
0
0
25 May 2025
FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration
FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration
Huan Wang
Haoran Li
H. Chen
Jun Yan
Lijuan Wang
Jiahua Shi
Shiping Chen
Jun Shen
FedML
49
0
0
25 May 2025
Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy
Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy
Carlos Salazar-Ruiz
F. Lopez-Tiro
Iván Reyes-Amezcua
Clément Larose
Gilberto Ochoa-Ruiz
Christian Daul
37
0
0
23 May 2025
PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose Estimation
U. Jeong
J. Freer
Seungryul Baek
H. Chang
K. Kim
3DH
88
0
0
23 May 2025
Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification
Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification
Shuxian Ma
Zihao Dong
Runmin Cong
Sam Kwong
Xiuli Shao
110
0
0
23 May 2025
Improving Generalization in Heterogeneous Federated Continual Learning via Spatio-Temporal Gradient Matching with Prototypical Coreset
Improving Generalization in Heterogeneous Federated Continual Learning via Spatio-Temporal Gradient Matching with Prototypical Coreset
Minh-Duong Nguyen
Le-Tuan Nguyen
Quoc-Viet Pham
CLL
30
0
0
22 May 2025
Prompt Tuning Vision Language Models with Margin Regularizer for Few-Shot Learning under Distribution Shifts
Prompt Tuning Vision Language Models with Margin Regularizer for Few-Shot Learning under Distribution Shifts
Debarshi Brahma
Anuska Roy
Soma Biswas
VLM
222
1
0
21 May 2025
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning
Linjie Li
Zhenyu Wu
Yang Ji
MoECLL
37
0
0
21 May 2025
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex
Muquan Yu
Mu Nan
Hossein Adeli
Jacob S. Prince
John A. Pyles
Leila Wehbe
Margaret M. Henderson
Michael J. Tarr
Andrew F. Luo
MedImViT
92
0
0
21 May 2025
Leveraging Foundation Models for Multimodal Graph-Based Action Recognition
Leveraging Foundation Models for Multimodal Graph-Based Action Recognition
Fatemeh Ziaeetabar
Florentin Wörgötter
72
0
0
21 May 2025
A MIND for Reasoning: Meta-learning for In-context Deduction
A MIND for Reasoning: Meta-learning for In-context Deduction
Leonardo Bertolazzi
Manuel Vargas Guzmán
Raffaella Bernardi
Maciej Malicki
Jakub Szymanik
ReLMLRM
72
0
0
20 May 2025
Zero-Shot Adaptation of Behavioral Foundation Models to Unseen Dynamics
Zero-Shot Adaptation of Behavioral Foundation Models to Unseen Dynamics
Maksim Bobrin
Ilya Zisman
Alexander Nikulin
Vladislav Kurenkov
Dmitry V. Dylov
OffRL
73
0
0
19 May 2025
GMM-Based Comprehensive Feature Extraction and Relative Distance Preservation For Few-Shot Cross-Modal Retrieval
GMM-Based Comprehensive Feature Extraction and Relative Distance Preservation For Few-Shot Cross-Modal Retrieval
Chengsong Sun
Weiping Li
Xiang Li
Yunxing Liu
Lianlei Shan
VLM
98
0
0
19 May 2025
ProMi: An Efficient Prototype-Mixture Baseline for Few-Shot Segmentation with Bounding-Box Annotations
ProMi: An Efficient Prototype-Mixture Baseline for Few-Shot Segmentation with Bounding-Box Annotations
Florent Chiaroni
Ali Ayub
Ola Ahmad
71
0
0
18 May 2025
Spectral-Spatial Self-Supervised Learning for Few-Shot Hyperspectral Image Classification
Spectral-Spatial Self-Supervised Learning for Few-Shot Hyperspectral Image Classification
Wenchen Chen
Yanmei Zhang
Zhongwei Xiao
Jianping Chu
Xingbo Wang
114
0
0
18 May 2025
AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery
AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery
Yifan Dai
Xuanbai Ren
Tengfei Ma
Qipeng Yan
Yiping Liu
Yuansheng Liu
Xiangxiang Zeng
174
0
0
17 May 2025
Generalizable Vision-Language Few-Shot Adaptation with Predictive Prompts and Negative Learning
Generalizable Vision-Language Few-Shot Adaptation with Predictive Prompts and Negative Learning
Sriram Mandalika
VLM
73
0
0
16 May 2025
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