Prototypical Networks for Few-shot Learning

15 March 2017

Papers citing "Prototypical Networks for Few-shot Learning"

50 / 1,375 papers shown

Title
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification Zhiquan Ye Zhenhua Ling 27 134 0 16 Jun 2019
Learning to Forget for Meta-Learning Sungyong Baik Seokil Hong Kyoung Mu Lee CLL KELM 22 87 0 13 Jun 2019
Compositional generalization through meta sequence-to-sequence learning Brenden M. Lake CoGe 32 196 0 12 Jun 2019
Boosting Few-Shot Visual Learning with Self-Supervision Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 22 400 0 12 Jun 2019
Progressive Cluster Purification for Transductive Few-shot Learning Chenyang Si Wentao Chen Wei Wang Liang Wang Tieniu Tan VLM 30 1 0 10 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning Han-Jia Ye Hexiang Hu De-Chuan Zhan 30 59 0 07 Jun 2019
Adaptive Gradient-Based Meta-Learning Methods M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 33 354 0 06 Jun 2019
Detecting Local Insights from Global Labels: Supervised & Zero-Shot Sequence Labeling via a Convolutional Decomposition A. Schmaltz 27 8 0 04 Jun 2019
Sequential Scenario-Specific Meta Learner for Online Recommendation Zhengxiao Du Xiaowei Wang Hongxia Yang Jingren Zhou Jie Tang OffRL LRM CLL 36 115 0 02 Jun 2019
Learning to Transfer: Unsupervised Meta Domain Translation Jianxin Lin Yijun Wang Tianyu He Zhibo Chen 27 8 0 01 Jun 2019
Regression Networks for Meta-Learning Few-Shot Classification A. Devos Matthias Grossglauser 22 12 0 31 May 2019
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks Haebeom Lee Hayeon Lee Donghyun Na Saehoon Kim Minseop Park Eunho Yang Sung Ju Hwang BDL OODD 24 106 0 30 May 2019
Adaptive Deep Kernel Learning Prudencio Tossou Basile Dura François Laviolette M. Marchand Alexandre Lacoste 29 29 0 28 May 2019
Image Deformation Meta-Networks for One-Shot Learning Z. Chen Yanwei Fu Yu-xiong Wang Lin Ma Wei Liu M. Hebert 15 217 0 28 May 2019
Dataset2Vec: Learning Dataset Meta-Features H. Jomaa Lars Schmidt-Thieme Josif Grabocka SSL 22 61 0 27 May 2019
Learning to learn via Self-Critique Antreas Antoniou Amos Storkey SSL 26 17 0 24 May 2019
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning Fan Zhou Chengtai Cao Kunpeng Zhang Goce Trajcevski Ting Zhong Ji Geng 24 226 0 23 May 2019
Alpha MAML: Adaptive Model-Agnostic Meta-Learning Harkirat Singh Behl A. G. Baydin Philip Torr 33 67 0 17 May 2019
One-Shot Texture Retrieval with Global Context Metric Kai Zhu Wei Zhai Zhengjun Zha Yang Cao 3DV 25 6 0 16 May 2019
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning Huaiyu Li Weiming Dong Xing Mei Chongyang Ma Feiyue Huang Bao-Gang Hu OffRL 32 98 0 15 May 2019
Hierarchically Structured Meta-learning Huaxiu Yao Ying Wei Junzhou Huang Z. Li 30 203 0 13 May 2019
Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training Avinash Ravichandran Rahul Bhotika Stefano Soatto 27 169 0 10 May 2019
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph Lu Liu Dinesh Manocha Guodong Long Jing Jiang Lina Yao Chengqi Zhang 24 71 0 10 May 2019
Meta-learning of Sequential Strategies Pedro A. Ortega Jane X. Wang Mark Rowland Tim Genewein Z. Kurth-Nelson ... Yee Whye Teh H. V. Hasselt Nando de Freitas M. Botvinick Shane Legg OffRL 27 97 0 08 May 2019
Few-Shot Adaptive Gaze Estimation Seonwook Park Shalini De Mello Pavlo Molchanov Umar Iqbal Otmar Hilliges Jan Kautz 33 193 0 06 May 2019
Learning Meta Model for Zero- and Few-shot Face Anti-spoofing Yunxiao Qin Chenxu Zhao Xiangyu Zhu Zezheng Wang Zitong Yu Tianyu Fu Feng Zhou Jingping Shi Zhen Lei CVBM 24 115 0 29 Apr 2019
Transferrable Prototypical Networks for Unsupervised Domain Adaptation Yingwei Pan Ting Yao Yehao Li Yu Wang Chong-Wah Ngo Tao Mei 38 338 0 25 Apr 2019
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning Thanh-Toan Do Toan M. Tran Ian Reid B. V. Kumar Tuan Hoang G. Carneiro 30 66 0 18 Apr 2019
Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images Junsik Kim Tae-Hyun Oh Seokju Lee Fei Pan In So Kweon DRL 36 73 0 17 Apr 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Yaoyao Liu Bernt Schiele Qianru Sun BDL 40 128 0 17 Apr 2019
Few Shot Speaker Recognition using Deep Neural Networks Prashant Anand A. Singh Siddharth Srivastava Brejesh Lall 33 39 0 17 Apr 2019
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 48 1,137 0 10 Apr 2019
Relational Knowledge Distillation Wonpyo Park Dongju Kim Yan Lu Minsu Cho 16 1,387 0 10 Apr 2019
Few-Shot Learning with Localization in Realistic Settings Davis Wertheimer Bharath Hariharan 19 140 0 09 Apr 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 63 1,754 0 08 Apr 2019
Learning to Adapt for Stereo A. Tonioni Oscar Rahnama Thomas Joy Luigi Di Stefano Thalaiyasingam Ajanthan Philip Torr 13 84 0 05 Apr 2019
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning Wenbin Li Lei Wang Jinglin Xu Jing Huo Yang Gao Jiebo Luo 33 484 0 28 Mar 2019
An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening Qian Wang K. Ismail T. Breckon 22 17 0 25 Mar 2019
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning Yongqin Xian Saurabh Sharma Bernt Schiele Zeynep Akata GAN VLM 36 483 0 25 Mar 2019
Interpreting Neural Networks Using Flip Points Roozbeh Yousefzadeh D. O’Leary AAML FAtt 22 17 0 21 Mar 2019
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval Anjan Dutta Zeynep Akata 33 143 0 08 Mar 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Eleni Triantafillou Tyler Lixuan Zhu Vincent Dumoulin Pascal Lamblin Utku Evci ... Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol Hugo Larochelle 53 612 0 07 Mar 2019
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning Yizhe Zhu Jianwen Xie Zhiqiang Tang Xi Peng Ahmed Elgammal VLM 25 119 0 01 Mar 2019
Provable Guarantees for Gradient-Based Meta-Learning M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 42 147 0 27 Feb 2019
Induction Networks for Few-Shot Text Classification Ruiying Geng Binhua Li Yongbin Li Xiao-Dan Zhu Ping Jian Jian Sun 39 184 0 27 Feb 2019
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation Antreas Antoniou Amos Storkey SSL 35 74 0 26 Feb 2019
A Theoretical Analysis of Contrastive Unsupervised Representation Learning Sanjeev Arora H. Khandeparkar M. Khodak Orestis Plevrakis Nikunj Saunshi SSL 65 764 0 25 Feb 2019
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-Time Gabriel Huang Hugo Larochelle Simon Lacoste-Julien SSL OOD 40 21 0 22 Feb 2019
Adaptive Cross-Modal Few-Shot Learning Chen Xing Negar Rostamzadeh Boris N. Oreshkin Pedro H. O. Pinheiro 33 271 0 19 Feb 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module Tiago Ramalho M. Garnelo BDL 33 77 0 07 Feb 2019