Prototypical Networks for Few-shot Learning

15 March 2017

Papers citing "Prototypical Networks for Few-shot Learning"

50 / 1,523 papers shown

Title
Cross-Modulation Networks for Few-Shot Learning Hugo Prol Vincent Dumoulin Luis Herranz 38 15 0 01 Dec 2018
One-Shot Instance Segmentation Claudio Michaelis Ivan Ustyuzhaninov Matthias Bethge Alexander S. Ecker ISeg 44 89 0 28 Nov 2018
Recent Advances in Open Set Recognition: A Survey Chuanxing Geng Sheng-Jun Huang Songcan Chen BDL ObjD 68 761 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 38 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 29 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 42 263 0 25 Oct 2018
Training neural audio classifiers with few data Jordi Pons Joan Serrà Xavier Serra 35 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 24 603 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 33 64 0 19 Oct 2018
Incremental Few-Shot Learning with Attention Attractor Networks Mengye Ren Renjie Liao Ethan Fetaya R. Zemel CLL 37 181 0 16 Oct 2018
Deep Transfer Reinforcement Learning for Text Summarization Yaser Keneshloo Naren Ramakrishnan Chandan K. Reddy 40 37 0 15 Oct 2018
Fast Context Adaptation via Meta-Learning L. Zintgraf K. Shiarlis Vitaly Kurin Katja Hofmann Shimon Whiteson 25 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 43 135 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 28 274 0 01 Oct 2018
Knowledge-guided Semantic Computing Network Guangming Shi Zhongqiang Zhang Dahua Gao Xuemei Xie Yihao Feng Xinrui Ma Danhua Liu 29 8 0 29 Sep 2018
One-Shot Relational Learning for Knowledge Graphs Wenhan Xiong Mo Yu Shiyu Chang Xiaoxiao Guo William Yang Wang 26 217 0 27 Aug 2018
Meta-Learning for Low-Resource Neural Machine Translation Jiatao Gu Yong Wang Yun Chen Kyunghyun Cho Victor O.K. Li 50 342 0 25 Aug 2018
Improving Generalization via Scalable Neighborhood Component Analysis Zhirong Wu Alexei A. Efros Stella X. Yu BDL 24 145 0 14 Aug 2018
Small Sample Learning in Big Data Era Jun Shu Zongben Xu Deyu Meng 38 71 0 14 Aug 2018
Attributes' Importance for Zero-Shot Pose-Classification Based on Wearable Sensors Hiroki Ohashi Mohammad Al-Naser Sheraz Ahmed Katsuyuki Nakamura Takuto Sato Andreas Dengel 21 24 0 02 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 35 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
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 44 1,364 0 16 Jul 2018
Large Margin Few-Shot Learning Yong Wang Xiao-Ming Wu Qimai Li Jiatao Gu Wangmeng Xiang Lei Zhang Victor O.K. Li MQ 42 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 33 511 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 33 21 0 20 Jun 2018
Cross-modal Hallucination for Few-shot Fine-grained Recognition Frederik Pahde P. Jähnichen T. Klein Moin Nabi 48 21 0 13 Jun 2018
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 202 351 0 12 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 36 318 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
MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning Bo Zhao Xinwei Sun Yanwei Fu Yuan Yao Yizhou Wang 29 23 0 12 Jun 2018
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 239 500 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 184 666 0 07 Jun 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning Kelvin Xu Ellis Ratner Anca Dragan Sergey Levine Chelsea Finn 39 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
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning Yanbin Liu Juho Lee Minseop Park Saehoon Kim Eunho Yang Sung Ju Hwang Yi Yang 26 666 0 25 May 2018
Meta-Learning Probabilistic Inference For Prediction Jonathan Gordon J. Bronskill Matthias Bauer Sebastian Nowozin Richard Turner BDL 55 263 0 24 May 2018
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 56 1,307 0 23 May 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 91 1,317 0 23 May 2018
Adapted Deep Embeddings: A Synthesis of Methods for $k$ -Shot Inductive Transfer Learning Tyler R. Scott Karl Ridgeway Michael C. Mozer 24 84 0 22 May 2018
Task-Agnostic Meta-Learning for Few-shot Learning Muhammad Abdullah Jamal Guo-Jun Qi M. Shah 52 457 0 20 May 2018
Diverse Few-Shot Text Classification with Multiple Metrics Mo Yu Xiaoxiao Guo Jinfeng Yi Shiyu Chang Saloni Potdar Yu Cheng Gerald Tesauro Haoyu Wang Bowen Zhou 17 214 0 19 May 2018
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples Xiu-Shen Wei Peng Wang Lingqiao Liu Chunhua Shen Jianxin Wu 31 124 0 11 May 2018
Towards a universal neural network encoder for time series Joan Serrà Santiago Pascual Alexandros Karatzoglou AI4TS 32 119 0 10 May 2018