Learning to Compare: Relation Network for Few-Shot Learning

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Learning to Compare: Relation Network for Few-Shot Learning

16 November 2017

Li Zhang

Timothy M. Hospedales

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Papers citing "Learning to Compare: Relation Network for Few-Shot Learning"

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Title
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
Object-Level Representation Learning for Few-Shot Image Classification Liangqu Long Wei Wang Jun Wen Meihui Zhang Qian Lin Beng Chin Ooi VLM 45 9 0 28 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 134 265 0 24 May 2018
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 115 1,318 0 23 May 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip Torr Andrea Vedaldi ODL 111 932 0 21 May 2018
Stacked Semantic-Guided Attention Model for Fine-Grained Zero-Shot Learning YunLong Yu Zhong Ji Yanwei Fu Jichang Guo Yanwei Pang Zhongfei Zhang VLM 81 27 0 21 May 2018
Task-Agnostic Meta-Learning for Few-shot Learning Muhammad Abdullah Jamal Guo-Jun Qi M. Shah 94 464 0 20 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 73 125 0 11 May 2018
Complementary Attributes: A New Clue to Zero-Shot Learning Xiaofeng Xu Ivor W. Tsang Chuancai Liu VLM 46 16 0 17 Apr 2018
Multi-level Semantic Feature Augmentation for One-shot Learning Z. Chen Yanwei Fu Yinda Zhang Yu-Gang Jiang Xiangyang Xue Leonid Sigal 90 236 0 15 Apr 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
Learning to Learn Image Classifiers with Visual Analogy Linjun Zhou Peng Cui Shiqiang Yang Wenwu Zhu Q. Tian 21 0 0 17 Oct 2017
Learning Non-Metric Visual Similarity for Image Retrieval Noa Garcia George Vogiatzis 44 37 0 05 Sep 2017
Learning a Deep Embedding Model for Zero-Shot Learning Li Zhang Tao Xiang S. Gong SyDa VLM 166 705 0 15 Nov 2016