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Prototypical Networks for Few-shot Learning

15 March 2017

Papers citing "Prototypical Networks for Few-shot Learning"

50 / 3,468 papers shown

Title
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation Xiang Li Tianhan Wei Yau Pun Chen Yu-Wing Tai Chi-Keung Tang VLM 113 249 0 29 Jul 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning Puneet Mangla M. Singh Abhishek Sinha Nupur Kumari V. Balasubramanian Balaji Krishnamurthy SSL 115 329 0 28 Jul 2019
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference Cuong C. Nguyen Thanh-Toan Do G. Carneiro OOD BDL UQCV 83 54 0 27 Jul 2019
Few-shot Learning for Domain-specific Fine-grained Image Classification Changrui Chen Hongwei Xv Junyu Dong Qiong Li Xin Sun 116 63 0 23 Jul 2019
Relational Generalized Few-Shot Learning Xiahan Shi Leonard Salewski Martin Schiegg Zeynep Akata Max Welling 78 24 0 22 Jul 2019
Automatic detection of rare pathologies in fundus photographs using few-shot learning G. Quellec M. Lamard Pierre-Henri Conze P. Massin B. Cochener 81 77 0 22 Jul 2019
Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition Huseyin Coskun Zeeshan Zia Bugra Tekin Federica Bogo Nassir Navab Federico Tombari H. Sawhney 88 27 0 22 Jul 2019
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition M. Bishay Georgios Zoumpourlis Ioannis Patras ViT 102 155 0 21 Jul 2019
Towards Understanding Generalization in Gradient-Based Meta-Learning Simon Guiroy Vikas Verma C. Pal 73 21 0 16 Jul 2019
Composing Neural Learning and Symbolic Reasoning with an Application to Visual Discrimination Adithya Murali Atharva Sehgal Paul Krogmeier P. Madhusudan 21 4 0 12 Jul 2019
Revisiting Metric Learning for Few-Shot Image Classification Xiaomeng Li Lequan Yu Chi-Wing Fu Meng Fang Pheng-Ann Heng VLM 103 96 0 06 Jul 2019
Interpretable Counterfactual Explanations Guided by Prototypes A. V. Looveren Janis Klaise FAtt 127 389 0 03 Jul 2019
Few-Shot Representation Learning for Out-Of-Vocabulary Words Ziniu Hu Ting-Li Chen Kai-Wei Chang Yizhou Sun 93 77 0 01 Jul 2019
Learning from Web Data with Self-Organizing Memory Module Y. Tu Li Niu Junjie Chen Dawei Cheng Liqing Zhang 88 20 0 28 Jun 2019
Few-Shot Video Classification via Temporal Alignment Kaidi Cao Jingwei Ji Zhangjie Cao C. Chang Juan Carlos Niebles AI4TS 95 242 0 27 Jun 2019
Mutual exclusivity as a challenge for deep neural networks Kanishk Gandhi Brenden M. Lake 109 14 0 24 Jun 2019
Few-Shot Sequence Labeling with Label Dependency Transfer and Pair-wise Embedding Yutai Hou Zhihan Zhou Yijia Liu Ning Wang Wanxiang Che Han Liu Ting Liu 71 9 0 20 Jun 2019
The Functional Neural Process Christos Louizos Xiahan Shi Klamer Schutte Max Welling BDL 89 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 80 244 0 18 Jun 2019
Boosting Supervision with Self-Supervision for Few-shot Learning Jong-Chyi Su Subhransu Maji B. Hariharan SSL AI4MH 68 19 0 17 Jun 2019
A Survey of Optimization Methods from a Machine Learning Perspective Shiliang Sun Zehui Cao Han Zhu Jing Zhao 92 566 0 17 Jun 2019
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification Zhiquan Ye Zhenhua Ling 89 136 0 16 Jun 2019
Learning to Forget for Meta-Learning Sungyong Baik Seokil Hong Kyoung Mu Lee CLL KELM 80 89 0 13 Jun 2019
Cognitive Knowledge Graph Reasoning for One-shot Relational Learning Zhengxiao Du Chang Zhou Ming Ding Hongxia Yang Jie Tang ReLM LRM 72 24 0 13 Jun 2019
Factors for the Generalisation of Identity Relations by Neural Networks R. Kopparti Tillman Weyde 32 2 0 13 Jun 2019
Compositional generalization through meta sequence-to-sequence learning Brenden M. Lake CoGe 132 199 0 12 Jun 2019
Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification Chia-Wen Kuo Chih-Yao Ma Jia-Bin Huang Z. Kira 62 2 0 12 Jun 2019
Boosting Few-Shot Visual Learning with Self-Supervision Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 103 406 0 12 Jun 2019
Learning Predicates as Functions to Enable Few-shot Scene Graph Prediction Apoorva Dornadula Austin Narcomey Ranjay Krishna Michael S. Bernstein Li Fei-Fei OCL 58 3 0 12 Jun 2019
Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition Ping Hu Ximeng Sun Kate Saenko Stan Sclaroff OCL CoGe 83 25 0 11 Jun 2019
Human-Machine Collaboration for Fast Land Cover Mapping Caleb Robinson Anthony Ortiz Kolya Malkin Blake Elias Andi Peng Dan Morris B. Dilkina Nebojsa Jojic 70 20 0 10 Jun 2019
Few-Shot Learning with Per-Sample Rich Supervision Roman Visotsky Yuval Atzmon Gal Chechik 56 7 0 10 Jun 2019
Progressive Cluster Purification for Transductive Few-shot Learning Chenyang Si Wentao Chen Wei Wang Liang Wang Tieniu Tan VLM 42 1 0 10 Jun 2019
Zero-Shot Image Classification Using Coupled Dictionary Embedding Mohammad Rostami Soheil Kolouri Zak Murez Yuri Owekcho Eric Eaton Kuyngnam Kim VLM 44 15 0 10 Jun 2019
Generative Continual Concept Learning Mohammad Rostami Soheil Kolouri J. McClelland Praveen K. Pilly CLL BDL 50 46 0 10 Jun 2019
Domain Adaptive Dialog Generation via Meta Learning Kun Qian Zhou Yu VLM OffRL 92 130 0 08 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning Han-Jia Ye Hexiang Hu De-Chuan Zhan 125 59 0 07 Jun 2019
Adaptive Gradient-Based Meta-Learning Methods M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 143 356 0 06 Jun 2019
Automated Machine Learning: State-of-The-Art and Open Challenges Radwa El Shawi Mohamed Maher Sherif Sakr 58 162 0 05 Jun 2019
Baby steps towards few-shot learning with multiple semantics Eli Schwartz Leonid Karlinsky Rogerio Feris Raja Giryes A. Bronstein VLM 117 107 0 05 Jun 2019
Discriminative Few-Shot Learning Based on Directional Statistics Junyoung Park Subin Yi Yongseok Choi D.-Y. Cho Jiwon Kim 18 4 0 05 Jun 2019
Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study Satoshi Tsutsui Dian Zhi Md. Alimoor Reza David J. Crandall Chen Yu OCL 38 3 0 04 Jun 2019
Detecting Local Insights from Global Labels: Supervised & Zero-Shot Sequence Labeling via a Convolutional Decomposition A. Schmaltz 92 8 0 04 Jun 2019
One-Way Prototypical Networks Anna M. Kruspe VLM 103 14 0 03 Jun 2019
Learning to Self-Train for Semi-Supervised Few-Shot Classification Xinzhe Li Qianru Sun Yaoyao Liu Shibao Zheng Qin Zhou Tat-Seng Chua Bernt Schiele SSL 113 272 0 03 Jun 2019
Incorporating Biological Knowledge with Factor Graph Neural Network for Interpretable Deep Learning Tianle Ma A. Zhang FaML 59 13 0 03 Jun 2019
Sequential Scenario-Specific Meta Learner for Online Recommendation Zhengxiao Du Xiaowei Wang Hongxia Yang Jingren Zhou Jie Tang OffRL LRM CLL 98 119 0 02 Jun 2019
Incremental Few-Shot Learning for Pedestrian Attribute Recognition Liuyu Xiang Xiaoming Jin Guiguang Ding Jungong Han Leida Li CLL 59 30 0 02 Jun 2019
Learning to Transfer: Unsupervised Meta Domain Translation Jianxin Lin Yijun Wang Tianyu He Zhibo Chen 107 8 0 01 Jun 2019
Regression Networks for Meta-Learning Few-Shot Classification A. Devos Matthias Grossglauser 64 12 0 31 May 2019