v1v2 (latest)

Prototypical Networks for Few-shot Learning

15 March 2017

Papers citing "Prototypical Networks for Few-shot Learning"

50 / 3,468 papers shown

Title
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 110 108 0 30 May 2019
Meta Dropout: Learning to Perturb Features for Generalization Haebeom Lee Taewook Nam Eunho Yang Sung Ju Hwang OOD 68 3 0 30 May 2019
Adaptive Deep Kernel Learning Prudencio Tossou Basile Dura François Laviolette M. Marchand Alexandre Lacoste 98 29 0 28 May 2019
Discrete Infomax Codes for Supervised Representation Learning Yoonho Lee Wonjae Kim Wonpyo Park Seungjin Choi 64 4 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 85 223 0 28 May 2019
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal Hongyang Li David Eigen Samuel F. Dodge Matthew D. Zeiler Xiaogang Wang VLM 124 343 0 27 May 2019
A Plug-in Method for Representation Factorization in Connectionist Models Jee Seok Yoon Wonjun Ko Heung-Il Suk 71 1 0 27 May 2019
Dataset2Vec: Learning Dataset Meta-Features H. Jomaa Lars Schmidt-Thieme Josif Grabocka SSL 107 64 0 27 May 2019
Learning to learn via Self-Critique Antreas Antoniou Amos Storkey SSL 98 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 77 233 0 23 May 2019
Variational Prototype Replays for Continual Learning Mengmi Zhang Tao Wang J. Lim Gabriel Kreiman Jiashi Feng VLM CLL 73 15 0 23 May 2019
Leveraging Semantic Embeddings for Safety-Critical Applications T. Brunner Frederik Diehl Michael Truong-Le Alois Knoll 29 5 0 19 May 2019
Alpha MAML: Adaptive Model-Agnostic Meta-Learning Harkirat Singh Behl A. G. Baydin Philip Torr 96 68 0 17 May 2019
One-Shot Texture Retrieval with Global Context Metric Kai Zhu Wei Zhai Zhengjun Zha Yang Cao 3DV 122 6 0 16 May 2019
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning Sung Whan Yoon Jun Seo Jaekyun Moon 86 275 0 16 May 2019
Meta Reinforcement Learning with Task Embedding and Shared Policy Lin Lan Zhenguo Li X. Guan Peijie Wang OffRL 130 50 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 74 98 0 15 May 2019
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems Fei Mi Minlie Huang Jiyong Zhang Boi Faltings 96 101 0 14 May 2019
Hierarchically Structured Meta-learning Huaxiu Yao Ying Wei Junzhou Huang Z. Li 90 205 0 13 May 2019
Few-Shot Viewpoint Estimation Hung-Yu Tseng Shalini De Mello Jonathan Tremblay Sifei Liu Stan Birchfield Ming-Hsuan Yang Jan Kautz 3DPC 73 16 0 13 May 2019
Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training Avinash Ravichandran Rahul Bhotika Stefano Soatto 81 170 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 113 72 0 10 May 2019
Data-Efficient Mutual Information Neural Estimator Xiaoyu Lin Indranil Sur Samuel A. Nastase Ajay Divakaran Uri Hasson Mohamed R. Amer DRL 71 21 0 08 May 2019
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records Xi Sheryl Zhang Fengyi Tang H. H. Dodge Jiayu Zhou Fei Wang 54 110 0 08 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 125 101 0 08 May 2019
Few-Shot Adaptive Gaze Estimation Seonwook Park Shalini De Mello Pavlo Molchanov Umar Iqbal Otmar Hilliges Jan Kautz 81 201 0 06 May 2019
Few-Shot Unsupervised Image-to-Image Translation Ming-Yuan Liu Xun Huang Arun Mallya Tero Karras Timo Aila J. Lehtinen Jan Kautz 78 610 0 05 May 2019
Edge-labeling Graph Neural Network for Few-shot Learning Jongmin Kim Taesup Kim Sungwoong Kim Chang D. Yoo 109 458 0 04 May 2019
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning Spyros Gidaris N. Komodakis 99 231 0 03 May 2019
A Content-Based Approach to Email Triage Action Prediction: Exploration and Evaluation Sudipto Mukherjee Ke Jiang 24 0 0 30 Apr 2019
Learning to Find Common Objects Across Few Image Collections Amirreza Shaban Amir M. Rahimi Shray Bansal Stephen Gould Byron Boots Leonid Sigal 51 1 0 29 Apr 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 96 118 0 29 Apr 2019
Transferrable Prototypical Networks for Unsupervised Domain Adaptation Yingwei Pan Ting Yao Yehao Li Yu Wang Chong-Wah Ngo Tao Mei 99 349 0 25 Apr 2019
Hierarchical Meta Learning Yingtian Zou Jiashi Feng 53 4 0 19 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 68 67 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 78 73 0 17 Apr 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Yaoyao Liu Bernt Schiele Qianru Sun BDL 183 128 0 17 Apr 2019
Few Shot Speaker Recognition using Deep Neural Networks Prashant Anand A. Singh Siddharth Srivastava Brejesh Lall 67 40 0 17 Apr 2019
Temporal Cycle-Consistency Learning Debidatta Dwibedi Y. Aytar Jonathan Tompson P. Sermanet Andrew Zisserman SSL AI4TS 98 277 0 16 Apr 2019
Semi-supervised Domain Adaptation via Minimax Entropy Kuniaki Saito Donghyun Kim Stan Sclaroff Trevor Darrell Kate Saenko 103 625 0 13 Apr 2019
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning Xin Wang Feng Yu Ruth Wang Trevor Darrell Joseph E. Gonzalez 85 105 0 11 Apr 2019
MxML: Mixture of Meta-Learners for Few-Shot Classification Minseop Park Jungtaek Kim Saehoon Kim Yanbin Liu Seungjin Choi OODD 35 8 0 11 Apr 2019
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 217 1,164 0 10 Apr 2019
Relational Knowledge Distillation Wonpyo Park Dongju Kim Yan Lu Minsu Cho 163 1,432 0 10 Apr 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 184 1,849 0 10 Apr 2019
Few-Shot Learning with Localization in Realistic Settings Davis Wertheimer Bharath Hariharan 73 145 0 09 Apr 2019
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout Heda Song M. Torres Ender Ozcan I. Triguero 62 8 0 08 Apr 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 191 1,771 0 08 Apr 2019
Leveraging the Invariant Side of Generative Zero-Shot Learning Jingjing Li Mengmeng Jing Ke Lu Zhengming Ding Lei Zhu Zi Huang VLM GAN 47 307 0 08 Apr 2019
Meta-Learning with Differentiable Convex Optimization Kwonjoon Lee Subhransu Maji Avinash Ravichandran Stefano Soatto 128 1,271 0 07 Apr 2019