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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
Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment
  Gaps
Few-shot Scooping Under Domain Shift via Simulated Maximal Deployment Gaps
Yifan Zhu
Pranay Thangeda
Erica Tevere
Ashish Goel
Erik Kramer
Hari Nayar
Melkior Ornik
Kris K. Hauser
76
0
0
06 Aug 2024
Set2Seq Transformer: Temporal and Positional-Aware Set Representations for Sequential Multiple-Instance Learning
Set2Seq Transformer: Temporal and Positional-Aware Set Representations for Sequential Multiple-Instance Learning
Athanasios Efthymiou
Stevan Rudinac
Monika Kackovic
Nachoem Wijnberg
Marcel Worring
ViT
95
0
0
06 Aug 2024
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier
  Logits
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits
Mateusz Ochal
Massimiliano Patacchiola
Malik Boudiaf
Sen Wang
85
0
0
04 Aug 2024
MetaWearS: A Shortcut in Wearable Systems Lifecycle with Only a Few
  Shots
MetaWearS: A Shortcut in Wearable Systems Lifecycle with Only a Few Shots
Alireza Amirshahi
Maedeh H.Toosi
Siamak Mohammadi
Stefano Albini
Pasquale Davide Schiavone
G. Ansaloni
A. Aminifar
David Atienza
50
0
0
04 Aug 2024
Deep Learning based Visually Rich Document Content Understanding: A Survey
Deep Learning based Visually Rich Document Content Understanding: A Survey
Muhammad Ali
Jean Lee
Salman Khan
Eduard Hovy
126
6
0
02 Aug 2024
Compositional Physical Reasoning of Objects and Events from Videos
Compositional Physical Reasoning of Objects and Events from Videos
Zhenfang Chen
Shilong Dong
Kexin Yi
Yunzhu Li
Mingyu Ding
Antonio Torralba
Joshua B. Tenenbaum
Chuang Gan
OCL
135
3
0
02 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
ObjDVLM
147
0
0
01 Aug 2024
Task-Adapter: Task-specific Adaptation of Image Models for Few-shot
  Action Recognition
Task-Adapter: Task-specific Adaptation of Image Models for Few-shot Action Recognition
Congqi Cao
Guibiao Liao
Yating Yu
Kanglin Liu
Lingtong Min
Yanning Zhang
130
4
0
01 Aug 2024
Label-Guided Prompt for Multi-label Few-shot Aspect Category Detection
Label-Guided Prompt for Multi-label Few-shot Aspect Category Detection
ChaoFeng Guan
Yaohui Zhu
Yu Bai
LingYun Wang
64
0
0
30 Jul 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
OODTTA
175
7
0
28 Jul 2024
Detached and Interactive Multimodal Learning
Detached and Interactive Multimodal Learning
Yunfeng Fan
Wenchao Xu
Yining Qi
Junhong Liu
Song Guo
130
3
0
28 Jul 2024
Symmetrical Joint Learning Support-query Prototypes for Few-shot
  Segmentation
Symmetrical Joint Learning Support-query Prototypes for Few-shot Segmentation
Qun Li
Baoquan Sun
Fu Xiao
Yonggang Qi
B. Bhanu
96
0
0
27 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
102
5
0
26 Jul 2024
SOAP: Enhancing Spatio-Temporal Relation and Motion Information
  Capturing for Few-Shot Action Recognition
SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action Recognition
Wenbo Huang
Jinghui Zhang
Xuwei Qian
Zhen Wu
Meng Wang
Lei Zhang
91
3
0
23 Jul 2024
No Re-Train, More Gain: Upgrading Backbones with Diffusion model for Pixel-Wise and Weakly-Supervised Few-Shot Segmentation
No Re-Train, More Gain: Upgrading Backbones with Diffusion model for Pixel-Wise and Weakly-Supervised Few-Shot Segmentation
Shuai Chen
Fanman Meng
Chenhao Wu
Haoran Wei
Runtong Zhang
Qingbo Wu
Linfeng Xu
Hongliang Li
86
0
0
23 Jul 2024
Computer Audition: From Task-Specific Machine Learning to Foundation
  Models
Computer Audition: From Task-Specific Machine Learning to Foundation Models
Andreas Triantafyllopoulos
Iosif Tsangko
Alexander Gebhard
A. Mesaros
Tuomas Virtanen
Björn Schuller
100
4
0
22 Jul 2024
Pre-Training and Prompting for Few-Shot Node Classification on
  Text-Attributed Graphs
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs
Huan-jing Zhao
Beining Yang
Yukuo Cen
Junyu Ren
Chenhui Zhang
Yuxiao Dong
Evgeny Kharlamov
Shu Zhao
Jie Tang
VLM
96
8
0
22 Jul 2024
Craft: Cross-modal Aligned Features Improve Robustness of Prompt Tuning
Craft: Cross-modal Aligned Features Improve Robustness of Prompt Tuning
Jingchen Sun
Rohan Sharma
Vishnu Suresh Lokhande
Changyou Chen
116
0
0
22 Jul 2024
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and
  Self-Training
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training
Yuqi Liu
Mengyu Li
Ximing Li
Lan Huang
Fausto Giunchiglia
Yanchun Liang
Xiaoyue Feng
Renchu Guan
SSL
102
4
0
20 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
83
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
181
4
0
20 Jul 2024
Enhancing Graph Neural Networks with Limited Labeled Data by Actively
  Distilling Knowledge from Large Language Models
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models
Quan Li
Tianxiang Zhao
Lingwei Chen
Junjie Xu
Suhang Wang
AI4CE
123
0
0
19 Jul 2024
Configural processing as an optimized strategy for robust object
  recognition in neural networks
Configural processing as an optimized strategy for robust object recognition in neural networks
Hojin Jang
Pawan Sinha
Xavier Boix
59
1
0
18 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
79
0
0
17 Jul 2024
Privacy-Preserving Adaptive Re-Identification without Image Transfer
Privacy-Preserving Adaptive Re-Identification without Image Transfer
Hamza Rami
Jhony H. Giraldo
Nicolas Winckler
Stéphane Lathuilière
55
0
0
17 Jul 2024
Non-parametric regularization for class imbalance federated medical
  image classification
Non-parametric regularization for class imbalance federated medical image classification
Jeffry Wicaksana
Zengqiang Yan
Kwang-Ting Cheng
FedML
90
0
0
17 Jul 2024
This Probably Looks Exactly Like That: An Invertible Prototypical
  Network
This Probably Looks Exactly Like That: An Invertible Prototypical Network
Zachariah Carmichael
Timothy Redgrave
Daniel Gonzalez Cedre
Walter J. Scheirer
BDL
126
2
0
16 Jul 2024
Siamese Transformer Networks for Few-shot Image Classification
Siamese Transformer Networks for Few-shot Image Classification
Weihao Jiang
Shuoxi Zhang
Kun He
ViT
120
0
0
16 Jul 2024
Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection
Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection
Ye Jiang
Taihang Wang
Xiaoman Xu
Yimin Wang
Xingyi Song
Diana Maynard
94
2
0
16 Jul 2024
Beyond Mask: Rethinking Guidance Types in Few-shot Segmentation
Beyond Mask: Rethinking Guidance Types in Few-shot Segmentation
Shijie Chang
Youwei Pang
Xiaoqi Zhao
Lihe Zhang
Huchuan Lu
97
1
0
16 Jul 2024
Learning to Unlearn for Robust Machine Unlearning
Learning to Unlearn for Robust Machine Unlearning
Mark He Huang
Lin Geng Foo
Jun Liu
MU
109
12
0
15 Jul 2024
Few-Shot Bioacoustic Event Detection with Frame-Level Embedding Learning
  System
Few-Shot Bioacoustic Event Detection with Frame-Level Embedding Learning System
PengYuan Zhao
ChengWei Lu
Li-Wei Zou
66
0
0
14 Jul 2024
NODE-Adapter: Neural Ordinary Differential Equations for Better
  Vision-Language Reasoning
NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning
Yi Zhang
Chun-Wun Cheng
Ke Yu
Zhihai He
Carola-Bibiane Schonlieb
Angelica I Aviles-Rivero
VLM
89
2
0
11 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
126
0
0
10 Jul 2024
ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models
ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models
Lev Ayzenberg
Raja Giryes
H. Greenspan
VLMMedIm
96
6
0
09 Jul 2024
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
Yan Liu
Bin Guo
Nuo Li
Yasan Ding
Zhouyangzi Zhang
Zhiwen Yu
143
1
0
09 Jul 2024
DMSD-CDFSAR: Distillation from Mixed-Source Domain for Cross-Domain
  Few-shot Action Recognition
DMSD-CDFSAR: Distillation from Mixed-Source Domain for Cross-Domain Few-shot Action Recognition
Fei-Yu Guo
YiKang Wang
Han Qi
Li Zhu
Jing Sun
115
2
0
08 Jul 2024
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
Xiaojie Li
Yibo Yang
Jianlong Wu
Guohao Li
Ming-Hsuan Yang
Liqiang Nie
M. Zhang
Mamba
101
6
0
08 Jul 2024
FedTSA: A Cluster-based Two-Stage Aggregation Method for
  Model-heterogeneous Federated Learning
FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning
Boyu Fan
Chenrui Wu
Xiang Su
Pan Hui
FedML
118
3
0
06 Jul 2024
Neural varifolds: an aggregate representation for quantifying the
  geometry of point clouds
Neural varifolds: an aggregate representation for quantifying the geometry of point clouds
Juheon Lee
Xiaohao Cai
Carola-Bibian Schönlieb
Simon Masnou
3DPC
90
1
0
05 Jul 2024
Exploration of Class Center for Fine-Grained Visual Classification
Exploration of Class Center for Fine-Grained Visual Classification
Hang Yao
Qiguang Miao
Peipei Zhao
Chaoneng Li
Xin Li
Guanwen Feng
Ruyi Liu
VLM
97
6
0
05 Jul 2024
Few-Shot Keyword Spotting from Mixed Speech
Few-Shot Keyword Spotting from Mixed Speech
Junming Yuan
Ying Shi
Lantian Li
D. Wang
A. Hamdulla
108
0
0
05 Jul 2024
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision
  Transformer
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer
Qian Feng
Hanbin Zhao
Chao Zhang
Jiahua Dong
Henghui Ding
Yu-Gang Jiang
Hui Qian
VLM
71
5
0
04 Jul 2024
E2MPL:An Enduring and Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation
E2MPL:An Enduring and Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation
Wanqi Yang
Haoran Wang
Lei Wang
Ge Song
Yang Gao
Yang Gao
96
0
0
04 Jul 2024
SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot
  Object Detection
SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection
Anay Majee
Ryan Sharp
Rishabh K. Iyer
105
1
0
02 Jul 2024
Semantically Guided Representation Learning For Action Anticipation
Semantically Guided Representation Learning For Action Anticipation
Anxhelo Diko
D. Avola
Bardh Prenkaj
Federico Fontana
Luigi Cinque
AI4TS
66
3
0
02 Jul 2024
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt
  during Large Language Model Fine-tuning
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
Jiaru Zou
Mengyu Zhou
Tao Li
Shi Han
Dongmei Zhang
109
8
0
02 Jul 2024
Hybrid Feature Collaborative Reconstruction Network for Few-Shot
  Fine-Grained Image Classification
Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image Classification
Shulei Qiu
Wanqi Yang
Ming Yang
96
0
0
02 Jul 2024
Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual
  Prompts
Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts
Pasquale De Marinis
Nicola Fanelli
Raffaele Scaringi
Emanuele Colonna
Giuseppe Fiameni
G. Vessio
Giovanna Castellano
MLLMVLM
84
2
0
02 Jul 2024
Unleash the Power of Local Representations for Few-Shot Classification
Unleash the Power of Local Representations for Few-Shot Classification
Shi Tang
Guiming Luo
Xinchen Ye
Zhiyi Xia
71
0
0
02 Jul 2024
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