Prototypical Networks for Few-shot Learning

15 March 2017

Papers citing "Prototypical Networks for Few-shot Learning"

50 / 1,401 papers shown

Title
Relational Embedding for Few-Shot Classification Dahyun Kang Heeseung Kwon Juhong Min Minsu Cho 39 185 0 22 Aug 2021
Unsupervised Local Discrimination for Medical Images Huai Chen Renzhen Wang Xiuying Wang Jieyu Li Qu Fang Hui Li Jianhao Bai Qing Peng Deyu Meng Lisheng Wang SSL 22 7 0 21 Aug 2021
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection Limeng Qiao Yuxuan Zhao Zhiyuan Li Xi Qiu Jianan Wu Chi Zhang ObjD 30 197 0 20 Aug 2021
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey S. Niyas S. Pawan Anand Kumar Jeny Rajan MedIm 60 83 0 19 Aug 2021
A Survey on Open Set Recognition Atefeh Mahdavi Marco M. Carvalho BDL 29 35 0 18 Aug 2021
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting Anna Kukleva Hilde Kuehne Bernt Schiele CLL 20 50 0 18 Aug 2021
Few-Shot Batch Incremental Road Object Detection via Detector Fusion Anuj Tambwekar Kshitij Agrawal Anay Majee A. Subramanian ObjD 16 5 0 18 Aug 2021
Learning Oculomotor Behaviors from Scanpath Beibin Li Nicholas Nuechterlein E. Barney Claire E. Foster Minah Kim ... Li Feng Quan Wang P. Ventola Linda G. Shapiro Frederick Shic 21 5 0 11 Aug 2021
Prototype Completion for Few-Shot Learning Baoquan Zhang Xutao Li Yunming Ye Shanshan Feng VLM 68 18 0 11 Aug 2021
The Role of Global Labels in Few-Shot Classification and How to Infer Them Ruohan Wang Massimiliano Pontil C. Ciliberto VLM 41 17 0 09 Aug 2021
Transductive Few-Shot Classification on the Oblique Manifold Guodong Qi Huimin Yu Zhaohui Lu Shuzhao Li 24 45 0 09 Aug 2021
One-Shot Object Affordance Detection in the Wild Wei Zhai Hongcheng Luo Jing Zhang Yang Cao Dacheng Tao 79 44 0 08 Aug 2021
Generating Personalized Dialogue via Multi-Task Meta-Learning Jing Yang Lee Kong Aik Lee W. Gan 35 14 0 07 Aug 2021
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer Zhihe Lu Sen He Xiatian Zhu Li Zhang Yi-Zhe Song Tao Xiang ViT 171 173 0 06 Aug 2021
Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature Learning Yan Bai J. Jiao Shengsen Wu Yihang Lou Jun Liu Xuetao Feng Ling-yu Duan 36 7 0 06 Aug 2021
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding Sheng Huang Wanqi Yang Lei Wang Luping Zhou Ming Yang 38 8 0 06 Aug 2021
Uniform Sampling over Episode Difficulty Sébastien M. R. Arnold Guneet Singh Dhillon Avinash Ravichandran Stefano Soatto 29 14 0 03 Aug 2021
Few-Shot and Continual Learning with Attentive Independent Mechanisms Eugene Lee Cheng-Han Huang Chen-Yi Lee CLL 23 25 0 29 Jul 2021
Bayesian Embeddings for Few-Shot Open World Recognition John Willes James Harrison Ali Harakeh Chelsea Finn Marco Pavone Steven Waslander BDL OffRL 27 18 0 29 Jul 2021
Proposal-based Few-shot Sound Event Detection for Speech and Environmental Sounds with Perceivers Piper Wolters Logan Sizemore Chris Daw Brian Hutchinson Lauren A. Phillips 37 11 0 28 Jul 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 120 3,858 0 28 Jul 2021
Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning Reece Walsh Mohamed H. Abdelpakey M. Shehata Mostafa M. Mohamed 3DH 30 21 0 27 Jul 2021
Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization Chiyuan Zhang M. Raghu Jon M. Kleinberg Samy Bengio OOD 32 30 0 27 Jul 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback Mike Wu Noah D. Goodman Chris Piech Chelsea Finn 40 19 0 23 Jul 2021
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers Yunhui Guo Xudong Wang Yubei Chen Stella X. Yu 26 45 0 23 Jul 2021
MCDAL: Maximum Classifier Discrepancy for Active Learning Jae-Won Cho Dong-Jin Kim Yunjae Jung In So Kweon 18 46 0 23 Jul 2021
LARGE: Latent-Based Regression through GAN Semantics Yotam Nitzan Rinon Gal Ofir Brenner Daniel Cohen-Or GAN 31 26 0 22 Jul 2021
Boosting Few-Shot Classification with View-Learnable Contrastive Learning Xu Luo Yuxuan Chen Liangjiang Wen Lili Pan Zenglin Xu VLM SSL 24 25 0 20 Jul 2021
All the attention you need: Global-local, spatial-channel attention for image retrieval Chull Hwan Song Hye Joo Han Yannis Avrithis 18 40 0 16 Jul 2021
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction Yaqing Wang Abulikemu Abuduweili Quanming Yao Dejing Dou 42 68 0 16 Jul 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 47 88 0 16 Jul 2021
A Channel Coding Benchmark for Meta-Learning Rui Li Ondrej Bohdal Rajesh K. Mishra Hyeji Kim Da Li Nicholas D. Lane Timothy M. Hospedales 36 9 0 15 Jul 2021
FLEX: Unifying Evaluation for Few-Shot NLP Jonathan Bragg Arman Cohan Kyle Lo Iz Beltagy 208 104 0 15 Jul 2021
Leveraging Hierarchical Structures for Few-Shot Musical Instrument Recognition Hugo Flores Garcia Aldo Aguilar Ethan Manilow Bryan Pardo 48 32 0 14 Jul 2021
Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition Xinda Liu Lili Wang Xiaoguang Han ViT 46 66 0 14 Jul 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Zhen junzha Meng Wang 32 1 0 12 Jul 2021
TA2N: Two-Stage Action Alignment Network for Few-shot Action Recognition Shuyuan Li Huabin Liu Rui Qian Yuxi Li John See Mengjuan Fei Xiaoyuan Yu W. Lin 31 76 0 10 Jul 2021
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction M. Mendez-Ruiz Jorge Gonzalez-Zapata G. Ochoa-Ruiz Andres Mendez-Vazquez 43 1 0 06 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 39 1 0 05 Jul 2021
Learning from scarce information: using synthetic data to classify Roman fine ware pottery Santos J. Núñez Jareño Daniël P. van Helden Evgeny M. Mirkes I. Tyukin Penelope Allison 39 5 0 03 Jul 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets Hayeon Lee Eunyoung Hyung Sung Ju Hwang 42 43 0 02 Jul 2021
Cross-domain Few-shot Learning with Task-specific Adapters Weihong Li Xialei Liu Hakan Bilen OOD 34 113 0 01 Jul 2021
Attention-based multi-channel speaker verification with ad-hoc microphone arrays Che-Yuan Liang Junqi Chen Shanzheng Guan Xiao-Lei Zhang 27 9 0 01 Jul 2021
Personalized Federated Learning with Gaussian Processes Idan Achituve Aviv Shamsian Aviv Navon Gal Chechik Ethan Fetaya FedML 32 100 0 29 Jun 2021
Representation based meta-learning for few-shot spoken intent recognition Ashish R. Mittal Samarth Bharadwaj Shreya Khare Saneem A. Chemmengath Karthik Sankaranarayanan Brian Kingsbury 20 12 0 29 Jun 2021
Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition Meihan Tong Shuai Wang Bin Xu Yixin Cao Minghui Liu Lei Hou Juan-Zi Li 38 51 0 29 Jun 2021
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data Jongjin Park Sukmin Yun Jongheon Jeong Jinwoo Shin 39 29 0 29 Jun 2021
High-dimensional separability for one- and few-shot learning Alexander N. Gorban Bogdan Grechuk Evgeny M. Mirkes Sergey V. Stasenko I. Tyukin DRL 48 20 0 28 Jun 2021
One-Shot Affordance Detection Hongcheng Luo Wei Zhai Jing Zhang Yang Cao Dacheng Tao 16 29 0 28 Jun 2021
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning Yi Zhang Sheng Huang Xiao-song Peng Dan Yang 33 9 0 28 Jun 2021