Prototypical Networks for Few-shot Learning

15 March 2017

Papers citing "Prototypical Networks for Few-shot Learning"

50 / 1,321 papers shown

Title
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 47 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 Yongqian Li Jiabao Wang Zhiteng Wang 20 1 0 16 Jun 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization Ramnath Kumar Kushal Majmundar Dheeraj M. Nagaraj A. Suggala ODL 34 6 0 15 Jun 2023
One-Shot Learning of Visual Path Navigation for Autonomous Vehicles Zhongying CuiZhu François Charette A. Ghafourian Debo Shi Matthew Cui Anjali Krishnamachar I. S. Bozchalooi 37 1 0 15 Jun 2023
Single-Image-Based Deep Learning for Segmentation of Early Esophageal Cancer Lesions Haipeng Li Di Liu Yunzhi Zeng Shuaicheng Liu Tao Gan N. Rao Jin-lin Yang Bing Zeng 26 6 0 09 Jun 2023
Word sense extension Lei Yu Yang Xu 21 4 0 09 Jun 2023
Improving neural network representations using human similarity judgments Lukas Muttenthaler Lorenz Linhardt Jonas Dippel Robert A. Vandermeulen Katherine L. Hermann Andrew Kyle Lampinen Simon Kornblith 45 31 0 07 Jun 2023
Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting Systems Manuele Rusci Tinne Tuytelaars 27 5 0 03 Jun 2023
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning Tao Zhang Wu Huang 24 2 0 30 May 2023
Learning without Forgetting for Vision-Language Models Da-Wei Zhou Yuanhan Zhang Jingyi Ning Jingyi Ning De-Chuan Zhan De-Chuan Zhan Ziwei Liu VLM CLL 74 37 0 30 May 2023
The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification Linhao Qu X. Luo Kexue Fu Manning Wang Zhijian Song 43 22 0 29 May 2023
propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans Zi Chen Jiazheng Li Jie Zhao Yiting Liu Hongfeng Li Bin Dong Lei Tang Li Zhang 25 1 0 29 May 2023
Adapting Language-Audio Models as Few-Shot Audio Learners Jinhua Liang Xubo Liu Haohe Liu Huy P Phan Emmanouil Benetos Mark D. Plumbley Wenwu Wang VLM 37 19 0 28 May 2023
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning Zhenrui Yue Huimin Zeng Mengfei Lan Heng Ji D. Wang VLM 26 14 0 27 May 2023
Instance-based Max-margin for Practical Few-shot Recognition Minghao Fu Kevin Zhu Jianxin Wu 40 2 0 27 May 2023
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation Liyao Tang Zhe Chen Shanshan Zhao Chaoyue Wang Dacheng Tao 33 12 0 25 May 2023
Fantastic DNN Classifiers and How to Identify them without Data Nathaniel R. Dean D. Sarkar 23 1 0 24 May 2023
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification Mujeen Sung James Gung Elman Mansimov Nikolaos Pappas Raphael Shu Salvatore Romeo Yi Zhang Vittorio Castelli 33 7 0 24 May 2023
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Yangqiu Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 37 2 0 23 May 2023
Learning to detect an animal sound from five examples I. Nolasco Shubhr Singh V. Morfi Vincent Lostanlen A. Strandburg-Peshkin ... Michael G. Emmerson E. Versace E. Grout Haohe Liu D. Stowell 48 37 0 22 May 2023
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification Idio Guarino Chao Wang A. Finamore A. Pescapé Dario Rossi 21 11 0 21 May 2023
PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search Mozhi Zhang Hang Yan Yaqian Zhou Xipeng Qiu 26 10 0 20 May 2023
Learning In-context Learning for Named Entity Recognition Jiawei Chen Yaojie Lu Hongyu Lin Jie Lou Wei Jia Dai Dai Hua Wu Boxi Cao Xianpei Han Le Sun NAI 49 19 0 18 May 2023
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks Wenfang Sun Yingjun Du Xiantong Zhen Fan Wang Lingling Wang Cees G. M. Snoek 19 3 0 17 May 2023
Exploring the Space of Key-Value-Query Models with Intention M. Garnelo Wojciech M. Czarnecki 43 7 0 17 May 2023
Learning More Discriminative Local Descriptors for Few-shot Learning Qi Song Siyun Zhou Liwei Xu 25 2 0 15 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 33 4 0 13 May 2023
An Exploration of Encoder-Decoder Approaches to Multi-Label Classification for Legal and Biomedical Text Yova Kementchedjhieva Ilias Chalkidis 34 22 0 09 May 2023
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction Wanli Li T. Qian Yi Song Zeyu Zhang Jiawei Li Zhuang Chen Lixin Zou 79 1 0 03 May 2023
Adaptive manifold for imbalanced transductive few-shot learning Michalis Lazarou Yannis Avrithis Tania Stathaki 21 6 0 27 Apr 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning Yi Rong Xiongbo Lu Zhaoyang Sun Yaxiong Chen Shengwu Xiong 28 10 0 26 Apr 2023
Glocal Energy-based Learning for Few-Shot Open-Set Recognition Haoyu Wang Guansong Pang Peng Wang Lei Zhang Wei Wei Yanning Zhang 27 12 0 24 Apr 2023
Hyperbolic Geometry in Computer Vision: A Survey Pengfei Fang Mehrtash Harandi Trung Le Dinh Q. Phung 27 4 0 21 Apr 2023
Spaiche: Extending State-of-the-Art ASR Models to Swiss German Dialects Clément Sicard Kajetan Pyszkowski Victor Gillioz 26 7 0 20 Apr 2023
Scale Federated Learning for Label Set Mismatch in Medical Image Classification Zhipeng Deng Luyang Luo Hao Chen FedML 24 1 0 14 Apr 2023
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery Shaozhe Hao Kai Han Kwan-Yee K. Wong 48 16 0 14 Apr 2023
Task Adaptive Feature Transformation for One-Shot Learning Imtiaz Masud Ziko Freddy Lecue Ismail Ben Ayed VLM 35 1 0 13 Apr 2023
LSFSL: Leveraging Shape Information in Few-shot Learning Deepan Padmanabhan Shruthi Gowda Elahe Arani Bahram Zonooz 31 6 0 13 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 43 0 0 13 Apr 2023
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning Tejas Anvekar Dena Bazazian 3DPC 37 8 0 12 Apr 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta Akshay K. Jagadish M. Botvinick Jane X. Wang Eric Schulz 35 25 0 12 Apr 2023
NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems Jason Yik Korneel Van den Berghe Douwe den Blanken Younes Bouhadjar Maxime Fabre ... Fatima Tuz Zohora Charlotte Frenkel Vijay Janapa Reddi Charlotte Frenkel Vijay Janapa Reddi 36 18 0 10 Apr 2023
From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot Keypoint Detection Changsheng Lu Hao Zhu Piotr Koniusz 48 11 0 06 Apr 2023