Prototypical Networks for Few-shot Learning

15 March 2017

Papers citing "Prototypical Networks for Few-shot Learning"

50 / 1,355 papers shown

Title
Meta-Neighborhoods Siyuan Shan Yang Li Junier Oliva 27 13 0 18 Sep 2019
Metric-Based Few-Shot Learning for Video Action Recognition Chris Careaga Brian Hutchinson Nathan Oken Hodas Lawrence Phillips 27 22 0 14 Sep 2019
Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective Keqin Li Martin Renqiang Min Y. Fu VLM 68 125 0 13 Sep 2019
Modular Meta-Learning with Shrinkage Yutian Chen A. Friesen Feryal M. P. Behbahani Arnaud Doucet David Budden Matthew W. Hoffman Nando de Freitas KELM OffRL 23 35 0 12 Sep 2019
Learning to Propagate for Graph Meta-Learning Lu Liu Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang 29 96 0 11 Sep 2019
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 45 844 0 10 Sep 2019
Discovery of Useful Questions as Auxiliary Tasks Vivek Veeriah Matteo Hessel Zhongwen Xu Richard L. Lewis Janarthanan Rajendran Junhyuk Oh H. V. Hasselt David Silver Satinder Singh LLMAG 22 86 0 10 Sep 2019
PARN: Position-Aware Relation Networks for Few-Shot Learning Ziyang Wu Yuwei Li Lihua Guo Kui Jia 29 86 0 10 Sep 2019
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification Jiawei Wu Wenhan Xiong William Yang Wang 23 69 0 09 Sep 2019
Open Compound Domain Adaptation Ziwei Liu Zhongqi Miao Xingang Pan Xiaohang Zhan Dahua Lin Stella X. Yu Boqing Gong 45 131 0 08 Sep 2019
The Disruptions of 5G on Data-driven Technologies and Applications Dumitrel Loghin Shaofeng Cai Gang Chen Tien Tuan Anh Dinh Feiyi Fan ... Wei Wang Xiaokui Xiao Yang Yang Meihui Zhang Zhonghua Zhang 20 64 0 06 Sep 2019
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs Mingyang Chen Wen Zhang Wei Zhang Qiang Chen Huajun Chen KELM 26 185 0 04 Sep 2019
Meta-Learning with Warped Gradient Descent Sebastian Flennerhag Andrei A. Rusu Razvan Pascanu Francesco Visin Hujun Yin R. Hadsell 8 209 0 30 Aug 2019
Neural Snowball for Few-Shot Relation Learning Tianyu Gao Xu Han Ruobing Xie Zhiyuan Liu Fen Lin Leyu Lin Maosong Sun 32 79 0 29 Aug 2019
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning Zhijun Mai Guosheng Hu Dexiong Chen Fumin Shen Heng Tao Shen 22 41 0 27 Aug 2019
PixelVAE++: Improved PixelVAE with Discrete Prior Hossein Sadeghi Evgeny Andriyash W. Vinci L. Buffoni Mohammad H. Amin BDL DRL 21 33 0 26 Aug 2019
Learning to Discover Novel Visual Categories via Deep Transfer Clustering Kai Han Andrea Vedaldi Andrew Zisserman SSL 21 293 0 26 Aug 2019
An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises F. Mohammadi M. Amini H. Arabnia OffRL 28 22 0 26 Aug 2019
Density estimation in representation space to predict model uncertainty Tiago Ramalho M. Corbalan UQCV BDL 16 38 0 20 Aug 2019
Entropic Out-of-Distribution Detection David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD UQCV 25 32 0 15 Aug 2019
Few-Shot Learning with Global Class Representations Tiange Luo Aoxue Li Tao Xiang Weiran Huang Liwei Wang 24 114 0 14 Aug 2019
Video Face Clustering with Unknown Number of Clusters Makarand Tapaswi M. Law Sanja Fidler CVBM 29 60 0 09 Aug 2019
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector Qi Fan Wei Zhuo Chi-Keung Tang Yu-Wing Tai ObjD 32 525 0 06 Aug 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning Puneet Mangla M. Singh Abhishek Sinha Nupur Kumari V. Balasubramanian Balaji Krishnamurthy SSL 36 327 0 28 Jul 2019
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference Cuong C. Nguyen Thanh-Toan Do G. Carneiro OOD BDL UQCV 19 54 0 27 Jul 2019
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition M. Bishay Georgios Zoumpourlis Ioannis Patras ViT 27 155 0 21 Jul 2019
Revisiting Metric Learning for Few-Shot Image Classification Xiaomeng Li Lequan Yu Chi-Wing Fu Meng Fang Pheng-Ann Heng VLM 24 93 0 06 Jul 2019
Interpretable Counterfactual Explanations Guided by Prototypes A. V. Looveren Janis Klaise FAtt 29 380 0 03 Jul 2019
Few-Shot Representation Learning for Out-Of-Vocabulary Words Ziniu Hu Ting-Li Chen Kai-Wei Chang Yizhou Sun 24 76 0 01 Jul 2019
Few-Shot Video Classification via Temporal Alignment Kaidi Cao Jingwei Ji Zhangjie Cao C. Chang Juan Carlos Niebles AI4TS 32 235 0 27 Jun 2019
Mutual exclusivity as a challenge for deep neural networks Kanishk Gandhi Brenden M. Lake 31 14 0 24 Jun 2019
The Functional Neural Process Christos Louizos Xiahan Shi Klamer Schutte Max Welling BDL 38 77 0 19 Jun 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes James Requeima Jonathan Gordon J. Bronskill Sebastian Nowozin Richard Turner 24 241 0 18 Jun 2019
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 25 59 0 07 Jun 2019
Adaptive Gradient-Based Meta-Learning Methods M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 33 353 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 19 106 0 30 May 2019
Adaptive Deep Kernel Learning Prudencio Tossou Basile Dura François Laviolette M. Marchand Alexandre Lacoste 27 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 19 61 0 27 May 2019
Learning to learn via Self-Critique Antreas Antoniou Amos Storkey SSL 23 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