Prototypical Networks for Few-shot Learning

15 March 2017

Papers citing "Prototypical Networks for Few-shot Learning"

50 / 1,294 papers shown

Title
OpenForest: A data catalogue for machine learning in forest monitoring Arthur Ouaknine T. Kattenborn Etienne Laliberté David Rolnick 53 6 0 01 Nov 2023
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction Shiao Meng Xuming Hu Aiwei Liu Shuang Li Fukun Ma Yawen Yang Lijie Wen 47 7 0 24 Oct 2023
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition Megha Thukral H. Haresamudram Thomas Ploetz 40 4 0 22 Oct 2023
Multi-label Open-set Audio Classification Sripathi Sridhar Mark Cartwright VLM 40 3 0 20 Oct 2023
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation Philipp Borchert Jochen De Weerdt Kristof Coussement Arno De Caigny Marie-Francine Moens 31 1 0 18 Oct 2023
Deep Conditional Shape Models for 3D cardiac image segmentation Athira J. Jacob Puneet Sharma Daniel Rückert 3DV 27 3 0 16 Oct 2023
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies Kieran Wood Samuel Kessler Stephen J. Roberts S. Zohren AI4TS 33 2 0 16 Oct 2023
Few-shot Action Recognition with Captioning Foundation Models Xiang Wang Shiwei Zhang Hangjie Yuan Yingya Zhang Changxin Gao Deli Zhao Nong Sang VLM 35 7 0 16 Oct 2023
In-Context Learning for Few-Shot Molecular Property Prediction Christopher Fifty J. Leskovec Sebastian Thrun 36 5 0 13 Oct 2023
Federated Multi-Level Optimization over Decentralized Networks Shuoguang Yang Xuezhou Zhang Mengdi Wang AI4CE 28 0 0 10 Oct 2023
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques Mike Huisman Aske Plaat Jan N. van Rijn MLT 48 9 0 09 Oct 2023
Coloring Deep CNN Layers with Activation Hue Loss Louis-Franccois Bouchard Mohsen Ben Lazreg Matthew Toews LLMSV 33 0 0 05 Oct 2023
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification Feihong He Gang Li Hui Xiong VLM ViT 54 2 0 05 Oct 2023
Domain Adaptive Few-Shot Open-Set Learning Debabrata Pal Deeptej More Sai Bhargav Dipesh Tamboli Vaneet Aggarwal Biplab Banerjee 29 2 0 22 Sep 2023
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words Yating Xu Conghui Hu Na Zhao Gim Hee Lee 3DPC 25 6 0 20 Sep 2023
Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation Yazhou Zhu Shidong Wang Tong Xin Zheng-Wei Zhang Haofeng Zhang 18 10 0 20 Sep 2023
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition Shubham Trehan U. Ramachandran Ruth Scimeca Sathyanarayanan N. Aakur 21 0 0 18 Sep 2023
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification Junjie Zhu Yiying Li Chunping Qiu Ke Yang Naiyang Guan Xiaodong Yi 32 6 0 17 Sep 2023
Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer Yazhou Zhu Shidong Wang Tong Xin Haofeng Zhang ViT MedIm 38 14 0 09 Sep 2023
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays Aroof Aimen Arsh Verma Makarand Tapaswi N. C. Krishnan 35 0 0 08 Sep 2023
Prototype-based Dataset Comparison Nanne van Noord 31 6 0 05 Sep 2023
Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples Guanghui Li Mingqi Gao Heng Liu Xiantong Zhen Feng Zheng VOS 34 3 0 05 Sep 2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification Marzi Heidari Abdullah Alchihabi Qing En Yuhong Guo VLM 34 0 0 04 Sep 2023
Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data Seunghan Yang Byeonggeun Kim Kyuhong Shim Simyoung Chang 31 1 0 31 Aug 2023
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER Guanting Dong Zechen Wang Jinxu Zhao Gang Zhao Daichi Guo ... Keqing He Xuefeng Li Liwen Wang Xinyue Cui Weiran Xu 37 19 0 28 Aug 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions Zemin Liu Yuan N. Li Nan-Fang Chen Qian Wang Bryan Hooi Bin He FaML 14 13 0 26 Aug 2023
Dual Compensation Residual Networks for Class Imbalanced Learning Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 30 5 0 25 Aug 2023
Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction Jiaying Gong Wei-Te Chen Hoda Eldardiry VLM 13 6 0 16 Aug 2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems? Davide Buffelli Ashish Gupta Agnieszka Strzalka Vassilis Plachouras OffRL LRM 36 1 0 16 Aug 2023
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement Zhen-Hu Ning Zhuotao Tian Guangming Lu Wenjie Pei 3DPC 28 14 0 06 Aug 2023
M $^3$ Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition Hao Tang Jun Liu Shuanglin Yan Rui Yan Zechao Li Jinhui Tang 23 38 0 06 Aug 2023
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification Menglong Lu Zhen Huang Zhiliang Tian Yunxiang Zhao Xuanyu Fei Dongsheng Li OOD 36 5 0 04 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Yibo Yang Haobo Yuan Hefei Ling Jianlong Wu Lefei Zhang Zhouchen Lin Philip Torr Dacheng Tao Guohao Li CLL 31 8 0 03 Aug 2023
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning Baoquan Zhang Chuyao Luo Demin Yu Huiwei Lin Xutao Li Yunming Ye Bowen Zhang DiffM 42 44 0 31 Jul 2023
Feed-Forward Source-Free Domain Adaptation via Class Prototypes Ondrej Bohdal Da Li Timothy M. Hospedales VLM TTA CLL 21 3 0 20 Jul 2023
Online Continual Learning for Robust Indoor Object Recognition Umberto Michieli Mete Ozay 31 9 0 19 Jul 2023
Exploring Binary Classification Loss For Speaker Verification Bing Han Zhengyang Chen Y. Qian CVBM 27 10 0 17 Jul 2023
Multiscale Memory Comparator Transformer for Few-Shot Video Segmentation Mennatullah Siam R. Karim Henghui Zhao Richard P. Wildes VOS 38 2 0 15 Jul 2023
A metric learning approach for endoscopic kidney stone identification Jorge Gonzalez-Zapata F. Lopez-Tiro Elias Villalvazo-Avila Daniel Flores-Araiza Jacques Hubert Andres Mendez-Vazquez G. Ochoa-Ruiz C. Daul 36 4 0 13 Jul 2023
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation Zhaoxin Fan Puquan Pan Zeren Zhang C. Chen Tianyang Wang Si Zheng Min Xu VLM 44 0 0 13 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 29 70 0 10 Jul 2023
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models? Zihao Jiang Yunkai Dang Dong Pang Huishuai Zhang Weiran Huang VLM 52 2 0 09 Jul 2023
Meta-Learning Adversarial Bandit Algorithms M. Khodak Ilya Osadchiy Keegan Harris Maria-Florina Balcan Kfir Y. Levy Ron Meir Zhiwei Steven Wu FedML 28 2 0 05 Jul 2023
Multi-Modal Prototypes for Open-World Semantic Segmentation Yu-Hao Yang Chaofan Ma Chen Ju Fei Zhang Jiangchao Yao Ya Zhang Yanfeng Wang VLM 42 9 0 05 Jul 2023
LPN: Language-guided Prototypical Network for few-shot classification Kaihui Cheng Chule Yang Xiao Liu Naiyang Guan Zhiyuan Wang 47 0 0 04 Jul 2023
A Multimodal Prototypical Approach for Unsupervised Sound Classification Saksham Singh Kushwaha Magdalena Fuentes 39 8 0 21 Jun 2023
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning Ye Wang Yaxiong Wang Guoshuai Zhao Xueming Qian CLL 36 1 0 19 Jun 2023
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation Shuang Zhou Xiao Shi Huang Ninghao Liu Huachi Zhou F. Chung Longhai Huang 42 23 0 18 Jun 2023
Channel-Spatial-Based Few-Shot Bird Sound Event Detection Lingwen Liu Yuxuan Feng Haitao Fu Yajie Yang Xin Pan Chenlei Jin 23 0 0 18 Jun 2023
FewSAR: A Few-shot SAR Image Classification Benchmark Rui Zhang Ziqi Wang Yong Li Jiabao Wang Zhiteng Wang 20 1 0 16 Jun 2023