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Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 3,162 papers shown

Title
Putting a bug in ML: The moth olfactory network learns to read MNIST Charles B. Delahunt J. Nathan Kutz 50 31 0 15 Feb 2018
Sharkzor: Interactive Deep Learning for Image Triage, Sort and Summary M. Pirrung Nathan Hilliard A. Yankov Nancy O'Brien Paul Weidert Court D. Corley Nathan Oken Hodas 22 13 0 14 Feb 2018
Learning Deep Disentangled Embeddings with the F-Statistic Loss Karl Ridgeway Michael C. Mozer FedML DRL CoGe 92 219 0 14 Feb 2018
Few-Shot Learning with Metric-Agnostic Conditional Embeddings Nathan Hilliard Lawrence Phillips Scott Howland A. Yankov Court D. Corley Nathan Oken Hodas SSL 85 159 0 12 Feb 2018
Deep Meta-Learning: Learning to Learn in the Concept Space Fengwei Zhou Bin Wu Zhenguo Li SSL 81 123 0 10 Feb 2018
Local Contrast Learning Chuanyun Xu Yang Zhang Xin Feng Yongxin Ge Yihao Zhang Jianwu Long 33 0 0 10 Feb 2018
Few-shot learning of neural networks from scratch by pseudo example optimization Akisato Kimura Zoubin Ghahramani Koh Takeuchi Tomoharu Iwata N. Ueda 94 52 0 08 Feb 2018
Efficient Video Object Segmentation via Network Modulation L. Yang Yanran Wang Xuehan Xiong Jianchao Yang Aggelos K. Katsaggelos VOS 95 350 0 04 Feb 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes Erin Grant Chelsea Finn Sergey Levine Trevor Darrell Thomas Griffiths BDL 102 510 0 26 Jan 2018
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace Yoonho Lee Seungjin Choi 66 27 0 17 Jan 2018
Low-Shot Learning from Imaginary Data Yu-Xiong Wang Ross B. Girshick M. Hebert Bharath Hariharan VLM 144 677 0 16 Jan 2018
Feature Space Transfer for Data Augmentation Bo Liu Xudong Wang Mandar Dixit Roland Kwitt Nuno Vasconcelos CVBM 95 95 0 13 Jan 2018
A Computational Model of Commonsense Moral Decision Making Richard Kim Max Kleiman-Weiner A. Abeliuk E. Awad Sohan Dsouza J. Tenenbaum Iyad Rahwan 75 56 0 12 Jan 2018
Weakly Supervised One-Shot Detection with Attention Similarity Networks Gil Keren Maximilian Schmitt T. Kehrenberg Björn Schuller WSOD 141 10 0 10 Jan 2018
Deep Nearest Class Mean Model for Incremental Odor Classification Yu Cheng Kin-Yeung Wong Kevin Hung Zhizhong Li Weitong Li Jun Zhang 45 10 0 08 Jan 2018
Rapid Adaptation with Conditionally Shifted Neurons Tsendsuren Munkhdalai Xingdi Yuan Soroush Mehri Adam Trischler 58 13 0 28 Dec 2017
Deep Meta Learning for Real-Time Target-Aware Visual Tracking Janghoon Choi Junseok Kwon Kyoung Mu Lee 91 10 0 26 Dec 2017
Low-Shot Learning with Imprinted Weights Qi Matthew A. Brown D. Lowe VLM 59 12 0 19 Dec 2017
A Bridge Between Hyperparameter Optimization and Learning-to-learn Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 92 20 0 18 Dec 2017
Learning Low-shot facial representations via 2D warping Shen Yan CVBM 31 0 0 13 Dec 2017
Co-domain Embedding using Deep Quadruplet Networks for Unseen Traffic Sign Recognition Junsik Kim Seokju Lee Tae-Hyun Oh In So Kweon 89 21 0 05 Dec 2017
Structured Set Matching Networks for One-Shot Part Labeling Jonghyun Choi Jayant Krishnamurthy Aniruddha Kembhavi Ali Farhadi 84 23 0 05 Dec 2017
Recurrent Neural Networks for Semantic Instance Segmentation Amaia Salvador Míriam Bellver Victor Campos Manel Baradad F. Marqués Jordi Torres Xavier Giró-i-Nieto SSeg 69 62 0 02 Dec 2017
Label Efficient Learning of Transferable Representations across Domains and Tasks Zelun Luo Yuliang Zou Judy Hoffman Li Fei-Fei 80 277 0 30 Nov 2017
Semi-Supervised and Active Few-Shot Learning with Prototypical Networks Rinu Boney Alexander Ilin VLM 83 27 0 29 Nov 2017
Learning to cluster in order to transfer across domains and tasks Yen-Chang Hsu Zhaoyang Lv Z. Kira OOD 101 221 0 28 Nov 2017
Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017 M. Botvinick David Barrett Peter W. Battaglia Nando de Freitas D. Kumaran ... Greg Wayne T. Weber Daan Wierstra Shane Legg Demis Hassabis LRM 94 35 0 22 Nov 2017
Few-shot Learning by Exploiting Visual Concepts within CNNs Boyang Deng Qing Liu Siyuan Qiao Alan Yuille 76 4 0 22 Nov 2017
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise Kuang-Huei Lee Xiaodong He Lei Zhang Linjun Yang NoLa 83 458 0 20 Nov 2017
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 434 4,063 0 16 Nov 2017
Zero-Shot Learning via Class-Conditioned Deep Generative Models Wenlin Wang Yunchen Pu Vinay Kumar Verma Kai Fan Yizhe Zhang Changyou Chen Piyush Rai Lawrence Carin BDL VLM 124 147 0 15 Nov 2017
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 151 1,076 0 12 Nov 2017
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 331 887 0 11 Nov 2017
Few-Shot Learning with Graph Neural Networks Victor Garcia Satorras Joan Bruna GNN 188 1,241 0 10 Nov 2017
Learning Markov Chain in Unordered Dataset Yao-Hung Hubert Tsai Haiying Zhao Ruslan Salakhutdinov Nebojsa Jojic CML 81 1 0 08 Nov 2017
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning Clemens Rosenbaum Tim Klinger Matthew D Riemer 101 249 0 03 Nov 2017
Learning with Latent Language Jacob Andreas Dan Klein Sergey Levine 105 136 0 01 Nov 2017
Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification Jack Lanchantin Arshdeep Sekhon Ritambhara Singh Yanjun Qi 59 1 0 30 Oct 2017
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions Scott E. Reed Yutian Chen T. Paine Aaron van den Oord S. M. Ali Eslami Danilo Jimenez Rezende Oriol Vinyals Nando de Freitas 123 88 0 27 Oct 2017
One-shot and few-shot learning of word embeddings Andrew Kyle Lampinen James L. McClelland 69 23 0 27 Oct 2017
Improving One-Shot Learning through Fusing Side Information Yao-Hung Hubert Tsai Ruslan Salakhutdinov FedML 53 51 0 23 Oct 2017
Learning to Recognize Actions from Limited Training Examples Using a Recurrent Spiking Neural Model Priyadarshini Panda N. Srinivasa 68 27 0 19 Oct 2017
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks Han Zhang Tao Xu Hongsheng Li Shaoting Zhang Xiaogang Wang Xiaolei Huang Dimitris N. Metaxas GAN 123 1,064 0 19 Oct 2017
Meta-Learning via Feature-Label Memory Network Dawit Mureja Hyunsin Park Chang D. Yoo 35 2 0 19 Oct 2017
Learning to Learn Image Classifiers with Visual Analogy Linjun Zhou Peng Cui Shiqiang Yang Wenwu Zhu Q. Tian 28 0 0 17 Oct 2017
Recent Advances in Zero-shot Recognition Yanwei Fu Tao Xiang Yu-Gang Jiang Xiangyang Xue Leonid Sigal S. Gong BDL VLM 79 178 0 13 Oct 2017
Lung Cancer Screening Using Adaptive Memory-Augmented Recurrent Networks Aryan Mobiny S. Moulik H. Nguyen 46 13 0 11 Oct 2017
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments Maruan Al-Shedivat Trapit Bansal Yuri Burda Ilya Sutskever Igor Mordatch Pieter Abbeel CLL 79 354 0 10 Oct 2017
Learning to Generalize: Meta-Learning for Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 129 1,436 0 10 Oct 2017
Efficient K-Shot Learning with Regularized Deep Networks Donghyun Yoo Haoqi Fan Vishnu Boddeti Kris Kitani 50 31 0 06 Oct 2017