Prototypical Networks for Few-shot Learning

15 March 2017

Papers citing "Prototypical Networks for Few-shot Learning"

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Title
Domain invariant hierarchical embedding for grocery products recognition A. Tonioni Luigi Di Stefano BDL 19 33 0 02 Feb 2019
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification Blaž Škrlj Matej Martinc Jan Kralj Nada Lavrac Senja Pollak 27 44 0 01 Feb 2019
Hyperspherical Prototype Networks Pascal Mettes Elise van der Pol Cees G. M. Snoek 24 123 0 29 Jan 2019
Deep Learning on Small Datasets without Pre-Training using Cosine Loss Björn Barz Joachim Denzler 27 129 0 25 Jan 2019
Attentive Neural Processes Hyunjik Kim A. Mnih Jonathan Richard Schwarz M. Garnelo S. M. Ali Eslami Dan Rosenbaum Oriol Vinyals Yee Whye Teh 54 429 0 17 Jan 2019
Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting With Limited Training Data Harshita Seth Pulkit Kumar Muktabh Mayank Srivastava 19 12 0 12 Jan 2019
Anticipation and next action forecasting in video: an end-to-end model with memory F. Pirri L. Mauro Edoardo Alati Valsamis Ntouskos Mahdieh Izadpanahkakhk Elham Omrani AI4TS 30 13 0 11 Jan 2019
Low-Shot Learning from Imaginary 3D Model Frederik Pahde M. Puscas Jannik Wolff T. Klein N. Sebe Moin Nabi 9 11 0 04 Jan 2019
Similarity R-C3D for Few-shot Temporal Activity Detection Huijuan Xu Bingyi Kang Ximeng Sun Jiashi Feng Kate Saenko Trevor Darrell 24 11 0 25 Dec 2018
Deep Metric Transfer for Label Propagation with Limited Annotated Data Bin Liu Zhirong Wu Han Hu Stephen Lin 29 63 0 20 Dec 2018
Toward Multimodal Model-Agnostic Meta-Learning Risto Vuorio Shao-Hua Sun Hexiang Hu Joseph J. Lim 57 31 0 18 Dec 2018
Few-shot classification in Named Entity Recognition Task Alexander Fritzler V. Logacheva M. Kretov 17 196 0 14 Dec 2018
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 68 657 0 10 Dec 2018
Meta-Transfer Learning for Few-Shot Learning Qianru Sun Yaoyao Liu Tat-Seng Chua Bernt Schiele 75 1,061 0 06 Dec 2018
Learning to match transient sound events using attentional similarity for few-shot sound recognition Szu-Yu Chou Kai-Hsiang Cheng J. Jang Yi-Hsuan Yang 27 59 0 04 Dec 2018
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 59 1,397 0 03 Dec 2018
One-Shot Instance Segmentation Claudio Michaelis Ivan Ustyuzhaninov Matthias Bethge Alexander S. Ecker ISeg 37 89 0 28 Nov 2018
Recent Advances in Open Set Recognition: A Survey Chuanxing Geng Sheng-Jun Huang Songcan Chen BDL ObjD 59 759 0 21 Nov 2018
Guiding Policies with Language via Meta-Learning John D. Co-Reyes Abhishek Gupta Suvansh Sanjeev Nick Altieri Jacob Andreas John DeNero Pieter Abbeel Sergey Levine LM&Ro 26 63 0 19 Nov 2018
Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural Networks Jing Shi Jiaming Xu Yiqun Yao Bo Xu 36 24 0 15 Nov 2018
Power Normalizing Second-order Similarity Network for Few-shot Learning Hongguang Zhang Piotr Koniusz 28 59 0 10 Nov 2018
A Bayesian Perspective of Statistical Machine Learning for Big Data R. Sambasivan Sourish Das S. Sahu BDL GP 24 19 0 09 Nov 2018
Few-shot learning with attention-based sequence-to-sequence models Bertrand Higy P. Bell 27 6 0 08 Nov 2018
Truncated Back-propagation for Bilevel Optimization Amirreza Shaban Ching-An Cheng Nathan Hatch Byron Boots 36 263 0 25 Oct 2018
Training neural audio classifiers with few data Jordi Pons Joan Serrà Xavier Serra 24 57 0 24 Oct 2018
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation Xu Han Hao Zhu Pengfei Yu Ziyun Wang Yuan Yao Zhiyuan Liu Maosong Sun SLR 24 602 0 24 Oct 2018
Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning Zhiwu Lu Jiechao Guan Aoxue Li Tao Xiang An Zhao Ji-Rong Wen 28 64 0 19 Oct 2018
Incremental Few-Shot Learning with Attention Attractor Networks Mengye Ren Renjie Liao Ethan Fetaya R. Zemel CLL 32 181 0 16 Oct 2018
Deep Transfer Reinforcement Learning for Text Summarization Yaser Keneshloo Naren Ramakrishnan Chandan K. Reddy 29 37 0 15 Oct 2018
Fast Context Adaptation via Meta-Learning L. Zintgraf K. Shiarlis Vitaly Kurin Katja Hofmann Shimon Whiteson 20 37 0 08 Oct 2018
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 39 756 0 08 Oct 2018
Task-Embedded Control Networks for Few-Shot Imitation Learning Stephen James Michael Bloesch Andrew J. Davison 38 135 0 08 Oct 2018
Unsupervised Learning via Meta-Learning Kyle Hsu Sergey Levine Chelsea Finn SSL OffRL 37 229 0 04 Oct 2018
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks Juho Lee Yoonho Lee Jungtaek Kim Adam R. Kosiorek Seungjin Choi Yee Whye Teh 23 274 0 01 Oct 2018
Knowledge-guided Semantic Computing Network Guangming Shi Zhongqiang Zhang Dahua Gao Xuemei Xie Yihao Feng Xinrui Ma Danhua Liu 20 8 0 29 Sep 2018
Improving Generalization via Scalable Neighborhood Component Analysis Zhirong Wu Alexei A. Efros Stella X. Yu BDL 22 144 0 14 Aug 2018
Small Sample Learning in Big Data Era Jun Shu Zongben Xu Deyu Meng 31 71 0 14 Aug 2018
Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data Carola Figueroa Flores Abel Gonzalez-Garcia Joost van de Weijer Bogdan Raducanu 30 50 0 01 Aug 2018
The Variational Homoencoder: Learning to learn high capacity generative models from few examples Luke B. Hewitt Maxwell Nye Andreea Gane Tommi Jaakkola J. Tenenbaum BDL DRL GAN 31 68 0 24 Jul 2018
Large Margin Few-Shot Learning Yong Wang Xiao-Ming Wu Qimai Li Jiatao Gu Wangmeng Xiang Lei Zhang V. Li MQ 37 29 0 08 Jul 2018
Neural Processes M. Garnelo Jonathan Richard Schwarz Dan Rosenbaum Fabio Viola Danilo Jimenez Rezende S. M. Ali Eslami Yee Whye Teh BDL UQCV GP 19 506 0 04 Jul 2018
Uncertainty in Multitask Transfer Learning Alexandre Lacoste Boris N. Oreshkin Wonchang Chung Thomas Boquet Negar Rostamzadeh David M. Krueger BDL UQCV SSL 24 21 0 20 Jun 2018
Cross-modal Hallucination for Few-shot Fine-grained Recognition Frederik Pahde P. Jähnichen T. Klein Moin Nabi 44 21 0 13 Jun 2018
RepMet: Representative-based metric learning for classification and one-shot object detection Leonid Karlinsky J. Shtok Sivan Harary Eli Schwartz Mattias Marder Rogerio Feris Raja Giryes A. Bronstein VLM ObjD 20 318 0 12 Jun 2018
Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 54 106 0 12 Jun 2018
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 231 500 0 11 Jun 2018
Auto-Meta: Automated Gradient Based Meta Learner Search Jaehong Kim Sangyeul Lee Sungwan Kim Moonsu Cha Jung Kwon Lee Youngduck Choi Yongseok Choi Dong-Yeon Cho Jiwon Kim AI4CE 33 39 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 178 666 0 07 Jun 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning Kelvin Xu Ellis Ratner Anca Dragan Sergey Levine Chelsea Finn 29 66 0 31 May 2018
Few-Shot Segmentation Propagation with Guided Networks Kate Rakelly Evan Shelhamer Trevor Darrell Alexei A. Efros Sergey Levine 37 118 0 25 May 2018