Prototypical Networks for Few-shot Learning

15 March 2017

Papers citing "Prototypical Networks for Few-shot Learning"

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Title
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation Lei Ke Xia Li Martin Danelljan Yu-Wing Tai Chi-Keung Tang Feng Yu VOS 26 71 0 22 Jun 2021
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images Shaofei Wang Marko Mihajlovic Qianli Ma Andreas Geiger Siyu Tang 3DH 22 99 0 22 Jun 2021
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification Dong Lee Sae-Young Chung 34 20 0 22 Jun 2021
Trainable Class Prototypes for Few-Shot Learning Jianyi Li Guizhong Liu VLM 22 2 0 21 Jun 2021
RSG: A Simple but Effective Module for Learning Imbalanced Datasets Jianfeng Wang Thomas Lukasiewicz Xiaolin Hu Jianfei Cai Zhenghua Xu SyDa 30 84 0 18 Jun 2021
SPeCiaL: Self-Supervised Pretraining for Continual Learning Lucas Caccia Joelle Pineau CLL SSL 29 18 0 16 Jun 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Haoxiang Wang Han Zhao Yue Liu 37 88 0 16 Jun 2021
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning Hayeon Lee Sewoong Lee Song Chong Sung Ju Hwang 23 26 0 16 Jun 2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning Chaofan CHEN Xiaoshan Yang Changsheng Xu Xuhui Huang Zhe Ma 33 50 0 16 Jun 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data Ashraful Islam Chun-Fu Chen Yikang Shen Leonid Karlinsky Rogerio Feris Richard J. Radke 30 84 0 14 Jun 2021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data Feng Liu Wenkai Xu Jie Lu Danica J. Sutherland 35 20 0 14 Jun 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 51 24 0 11 Jun 2021
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation Haoang Chi Feng Liu Wenjing Yang L. Lan Tongliang Liu Bo Han William Cheung James T. Kwok 40 27 0 11 Jun 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning Youngtaek Oh Dong-Jin Kim In So Kweon 49 64 0 10 Jun 2021
Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification Yang Liu Weifeng Zhang Chao Xiang Tu Zheng Deng Cai Xiaofei He FedML 24 47 0 10 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 45 22 0 09 Jun 2021
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation Ho Kei Cheng Yu-Wing Tai Chi-Keung Tang VOS 48 280 0 09 Jun 2021
Meta-Learning Reliable Priors in the Function Space Jonas Rothfuss Dominique Heyn Jinfan Chen Andreas Krause 42 27 0 06 Jun 2021
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation Dong Min Dong Bok Lee Eunho Yang Sung Ju Hwang 25 160 0 06 Jun 2021
DAMSL: Domain Agnostic Meta Score-based Learning J. Cai B. Cai S. Shen 29 5 0 06 Jun 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation Yingjun Du Nithin Holla Xiantong Zhen Cees G. M. Snoek Ekaterina Shutova 35 9 0 05 Jun 2021
Entity Concept-enhanced Few-shot Relation Extraction Shan Yang Yongfei Zhang Guanglin Niu Qinghua Zhao Shiliang Pu 38 63 0 04 Jun 2021
Few-Shot Segmentation via Cycle-Consistent Transformer Gengwei Zhang Guoliang Kang Yi Yang Yunchao Wei ViT 22 179 0 04 Jun 2021
Stochastic Whitening Batch Normalization Shengdong Zhang E. Nezhadarya H. Fashandi Jiayi Liu Darin Graham Mohak Shah 21 10 0 03 Jun 2021
Multi-Label Few-Shot Learning for Aspect Category Detection Mengting Hu Shiwan Zhao Honglei Guo Chao Xue H. Gao Tiegang Gao Renhong Cheng Zhong Su 13 39 0 29 May 2021
ProtAugment: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning Thomas Dopierre Christophe Gravier Wilfried Logerais 22 32 0 27 May 2021
True Few-Shot Learning with Language Models Ethan Perez Douwe Kiela Kyunghyun Cho 23 428 0 24 May 2021
Prototype Guided Federated Learning of Visual Feature Representations Umberto Michieli Mete Ozay FedML 24 37 0 19 May 2021
Multiple Meta-model Quantifying for Medical Visual Question Answering Tuong Khanh Long Do Binh X. Nguyen Erman Tjiputra Minh-Ngoc Tran Quang-Dieu Tran A. Nguyen 38 99 0 19 May 2021
Exemplar-Based Open-Set Panoptic Segmentation Network Jaedong Hwang Seoung Wug Oh Joon-Young Lee Bohyung Han VLM 33 50 0 18 May 2021
Few-NERD: A Few-Shot Named Entity Recognition Dataset Ning Ding Guangwei Xu Yulin Chen Xiaobin Wang Xu Han Pengjun Xie Haitao Zheng Zhiyuan Liu 26 230 0 16 May 2021
Learning a Universal Template for Few-shot Dataset Generalization Eleni Triantafillou Hugo Larochelle R. Zemel Vincent Dumoulin 32 92 0 14 May 2021
Towards Novel Target Discovery Through Open-Set Domain Adaptation Taotao Jing Hongfu Liu Zhengming Ding 47 32 0 06 May 2021
Few-shot Partial Multi-view Learning Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Jiebo Luo 36 1 0 05 May 2021
Hallucination Improves Few-Shot Object Detection Weilin Zhang Yu-xiong Wang ObjD 59 110 0 04 May 2021
Pseudo Siamese Network for Few-shot Intent Generation Congying Xia Caiming Xiong Philip Yu ViT 66 21 0 03 May 2021
Subspace Representation Learning for Few-shot Image Classification Ting-Yao Hu Zhi-Qi Cheng Alexander G. Hauptmann 39 5 0 02 May 2021
Updatable Siamese Tracker with Two-stage One-shot Learning Xing Sun G. Han Lihong Guo Tingfa Xu Jianan Li Peixun Liu 26 8 0 30 Apr 2021
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples Mahmoud Assran Mathilde Caron Ishan Misra Piotr Bojanowski Armand Joulin Nicolas Ballas Michael G. Rabbat SSL 29 147 0 28 Apr 2021
Rich Semantics Improve Few-shot Learning Mohamed Afham Salman Khan Muhammad Haris Khan Muzammal Naseer Fahad Shahbaz Khan VLM 37 24 0 26 Apr 2021
Mutual Contrastive Learning for Visual Representation Learning Chuanguang Yang Zhulin An Linhang Cai Yongjun Xu VLM SSL 108 75 0 26 Apr 2021
Demystification of Few-shot and One-shot Learning I. Tyukin A. Gorban Muhammad H. Alkhudaydi Qinghua Zhou 29 13 0 25 Apr 2021
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System Congyin Xia Wenpeng Yin Yihao Feng Philip Yu CLL VLM 27 51 0 24 Apr 2021
Opening up Open-World Tracking Yang Liu Idil Esen Zulfikar Jonathon Luiten Achal Dave Deva Ramanan Bastian Leibe Aljosa Osep Laura Leal-Taixé 31 51 0 22 Apr 2021
Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks Yuansheng Hua Lichao Mou Jianzhe Lin Konrad Heidler Xiaoxiang Zhu 41 19 0 22 Apr 2021
Stateless Neural Meta-Learning using Second-Order Gradients Mike Huisman Aske Plaat Jan N. van Rijn 37 7 0 21 Apr 2021
Do We Really Need Gold Samples for Sample Weighting Under Label Noise? Aritra Ghosh Andrew Lan NoLa 34 9 0 19 Apr 2021
Few-shot Learning for Topic Modeling Tomoharu Iwata BDL 27 6 0 19 Apr 2021
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes O. Sabo Yanai Elazar Yoav Goldberg Ido Dagan 30 38 0 17 Apr 2021
Memorisation versus Generalisation in Pre-trained Language Models Michael Tänzer Sebastian Ruder Marek Rei 94 50 0 16 Apr 2021