v1v2 (latest)

Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 3,162 papers shown

Title
Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data Carola Figueroa Flores Abel Gonzalez-Garcia Joost van de Weijer Bogdan Raducanu 122 50 0 01 Aug 2018
Comparator Networks Weidi Xie Li Shen Andrew Zisserman CoGe 88 76 0 30 Jul 2018
Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data Yabin Zhang Hui Tang Kui Jia 111 95 0 28 Jul 2018
MaskConnect: Connectivity Learning by Gradient Descent Karim Ahmed Lorenzo Torresani 88 49 0 28 Jul 2018
Few Shot Learning with Simplex Bowen Zhang Xifan Zhang Fan Cheng Deli Zhao 12 1 0 27 Jul 2018
Meta-learning autoencoders for few-shot prediction Tailin Wu J. Peurifoy Isaac L. Chuang Max Tegmark 45 22 0 26 Jul 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 88 68 0 24 Jul 2018
Modeling Taxi Drivers' Behaviour for the Next Destination Prediction Alberto Rossi Gianni Barlacchi Monica Bianchini Bruno Lepri 53 31 0 21 Jul 2018
Few-Shot Adaptation for Multimedia Semantic Indexing Nakamasa Inoue Koichi Shinoda VLM 27 6 0 19 Jul 2018
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 160 1,374 0 16 Jul 2018
Metalearning with Hebbian Fast Weights Tsendsuren Munkhdalai Adam Trischler VLM FedML 75 37 0 12 Jul 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 201 2,074 0 10 Jul 2018
Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration De-An Huang Suraj Nair Danfei Xu Yuke Zhu Animesh Garg Li Fei-Fei Silvio Savarese Juan Carlos Niebles 98 140 0 10 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 90 29 0 08 Jul 2018
One-shot Texture Segmentation Ivan Ustyuzhaninov Claudio Michaelis Wieland Brendel Matthias Bethge VLM 60 17 0 07 Jul 2018
Learning models for visual 3D localization with implicit mapping Dan Rosenbaum F. Besse Fabio Viola Danilo Jimenez Rezende S. M. Ali Eslami 133 30 0 04 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 107 517 0 04 Jul 2018
Conditional Neural Processes M. Garnelo Dan Rosenbaum Chris J. Maddison Tiago Ramalho D. Saxton Murray Shanahan Yee Whye Teh Danilo Jimenez Rezende S. M. Ali Eslami UQCV BDL 94 708 0 04 Jul 2018
Tracking Emerges by Colorizing Videos Carl Vondrick Abhinav Shrivastava Alireza Fathi S. Guadarrama Kevin Patrick Murphy 100 377 0 25 Jun 2018
Attention-based Few-Shot Person Re-identification Using Meta Learning Alireza Rahimpour Hairong Qi 50 5 0 24 Jun 2018
One-shot Learning for Question-Answering in Gaokao History Challenge Zhuosheng Zhang Zhao Hai RALM 110 30 0 24 Jun 2018
Uncertainty in Multitask Transfer Learning Alexandre Lacoste Boris N. Oreshkin Wonchang Chung Thomas Boquet Negar Rostamzadeh David M. Krueger BDL UQCV SSL 105 21 0 20 Jun 2018
DynMat, a network that can learn after learning J. H. Lee OffRL 108 5 0 16 Jun 2018
Cross-modal Hallucination for Few-shot Fine-grained Recognition Frederik Pahde P. Jähnichen T. Klein Moin Nabi 92 21 0 13 Jun 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 187 732 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 255 357 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 145 320 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 67 23 0 12 Jun 2018
Data augmentation instead of explicit regularization Alex Hernández-García Peter König 111 144 0 11 Jun 2018
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 309 504 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 73 39 0 11 Jun 2018
Adversarial Meta-Learning Chengxiang Yin Jian Tang Zhiyuan Xu Yanzhi Wang 95 42 0 08 Jun 2018
Large-scale Bisample Learning on ID Versus Spot Face Recognition Xiangyu Zhu Hao Liu Zhen Lei Hailin Shi Fan Yang Dong Yi Guojun Qi Stan Z. Li CVBM 147 47 0 08 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 310 674 0 07 Jun 2018
Meta-Learning by the Baldwin Effect Chrisantha Fernando Jakub Sygnowski Simon Osindero Jane X. Wang Tom Schaul Denis Teplyashin Pablo Sprechmann Alexander Pritzel Andrei A. Rusu 87 39 0 06 Jun 2018
Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare Ingyo Chung Saehoon Kim Juho Lee Kwang Joon Kim Sung Ju Hwang Eunho Yang BDL FedML 82 16 0 05 Jun 2018
Deep Mixture of Experts via Shallow Embedding Xin Wang Feng Yu Lisa Dunlap Yi-An Ma Ruth Wang Azalia Mirhoseini Trevor Darrell Joseph E. Gonzalez MoE 43 1 0 05 Jun 2018
Meta-Learner with Linear Nulling Sung Whan Yoon Jun Seo Jaekyun Moon 19 1 0 04 Jun 2018
On the Importance of Attention in Meta-Learning for Few-Shot Text Classification Xiang Jiang Mohammad Havaei Gabriel Chartrand Hassan Chouaib Thomas Vincent Andrew Jesson Nicolas Chapados Stan Matwin VLM 33 18 0 03 Jun 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning Kelvin Xu Ellis Ratner Anca Dragan Sergey Levine Chelsea Finn 111 65 0 31 May 2018
Forward Amortized Inference for Likelihood-Free Variational Marginalization L. Ambrogioni Umut Güçlü Julia Berezutskaya Eva W. P. van den Borne Yağmur Güçlütürk Max Hinne E. Maris Marcel van Gerven BDL VLM 70 17 0 29 May 2018
Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks Vishal Kaushal Anurag Sahoo Khoshrav Doctor Narasimha Raju Uppalapati Suyash Shetty Pankaj Singh Rishabh K. Iyer Ganesh Ramakrishnan VLM 58 10 0 28 May 2018
Object-Level Representation Learning for Few-Shot Image Classification Liangqu Long Wei Wang Jun Wen Meihui Zhang Qian Lin Beng Chin Ooi VLM 53 9 0 28 May 2018
Few-Shot Segmentation Propagation with Guided Networks Kate Rakelly Evan Shelhamer Trevor Darrell Alexei A. Efros Sergey Levine 94 119 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 116 670 0 25 May 2018
Meta-Learning Probabilistic Inference For Prediction Jonathan Gordon J. Bronskill Matthias Bauer Sebastian Nowozin Richard Turner BDL 138 265 0 24 May 2018
Been There, Done That: Meta-Learning with Episodic Recall Samuel Ritter Jane X. Wang Z. Kurth-Nelson Siddhant M. Jayakumar Charles Blundell Razvan Pascanu M. Botvinick CLL 72 84 0 24 May 2018
SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels Or Litany Daniel Freedman NoLa 57 13 0 24 May 2018
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 117 1,320 0 23 May 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 176 1,333 0 23 May 2018