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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
Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding Jiechao Guan Zhiwu Lu Tao Xiang Timothy M. Hospedales 50 0 0 02 Dec 2020
A Study of Few-Shot Audio Classification Piper Wolters Chris Careaga Brian Hutchinson Lauren A. Phillips 104 10 0 02 Dec 2020
Few-Shot Classification with Feature Map Reconstruction Networks Davis Wertheimer Luming Tang B. Hariharan 87 240 0 02 Dec 2020
ReMP: Rectified Metric Propagation for Few-Shot Learning Yang Zhao Chunyuan Li Ping Yu Changyou Chen 87 6 0 02 Dec 2020
Prototype-based Incremental Few-Shot Semantic Segmentation Fabio Cermelli Massimiliano Mancini Yongqin Xian Zeynep Akata Barbara Caputo VLM CLL 74 25 0 30 Nov 2020
AFD-Net: Adaptive Fully-Dual Network for Few-Shot Object Detection Longyao Liu Bo Ma Yulin Zhang Xin Yi Haozhi Li ObjD 41 22 0 30 Nov 2020
Multi-scale Adaptive Task Attention Network for Few-Shot Learning Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 73 30 0 30 Nov 2020
Annotation-Efficient Untrimmed Video Action Recognition Yixiong Zou Shanghang Zhang Guangyao Chen Yonghong Tian Kurt Keutzer J. M. F. Moura 58 5 0 30 Nov 2020
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification Xiaoxu Li Jijie Wu Z. Sun Zhanyu Ma Jie Cao Jing-Hao Xue 72 127 0 29 Nov 2020
PCPs: Patient Cardiac Prototypes Dani Kiyasseh T. Zhu David Clifton 56 1 0 28 Nov 2020
Is Support Set Diversity Necessary for Meta-Learning? Amrith Rajagopal Setlur Oscar Li Virginia Smith 104 16 0 28 Nov 2020
Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys G. Tadesse C. Cintas Skyler Speakman Komminist Weldemariam 19 0 0 25 Nov 2020
Match Them Up: Visually Explainable Few-shot Image Classification Bowen Wang Liangzhi Li Manisha Verma Yuta Nakashima R. Kawasaki Hajime Nagahara FAtt 61 26 0 25 Nov 2020
CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking Heng Fan Haibin Ling 89 10 0 25 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 86 72 0 24 Nov 2020
BiOpt: Bi-Level Optimization for Few-Shot Segmentation Jinlu Liu Liang Song Yongqiang Qin VLM 30 0 0 23 Nov 2020
RNNP: A Robust Few-Shot Learning Approach Pratik Mazumder Pravendra Singh Vinay P. Namboodiri NoLa 38 18 0 22 Nov 2020
Zero-Shot Learning with Knowledge Enhanced Visual Semantic Embeddings Karan Sikka Jihua Huang Andrew Silberfarb Prateeth Nayak Luke Rohrer Pritish Sahu John Byrnes Ajay Divakaran R. Rohwer 47 4 0 21 Nov 2020
One Shot Learning for Speech Separation Yuan-Kuei Wu Kuan-Po Huang Yu Tsao Hung-yi Lee VLM 63 8 0 20 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning Meng Ye Xiaoyu Lin Giedrius Burachas Ajay Divakaran Yi Yao 110 3 0 19 Nov 2020
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation Soopil Kim Sion An Philip Chikontwe Sang Hyun Park 49 41 0 19 Nov 2020
A Review of Generalized Zero-Shot Learning Methods Farhad Pourpanah Moloud Abdar Yuxuan Luo Xinlei Zhou Ran Wang C. P. Lim Xizhao Wang Q. M. Jonathan Wu VLM 150 361 0 17 Nov 2020
Dynamic backdoor attacks against federated learning Anbu Huang AAML FedML 49 20 0 15 Nov 2020
Towards Zero-Shot Learning with Fewer Seen Class Examples Vinay Kumar Verma Ashish Mishra Anubha Pandey H. Murthy Piyush Rai VLM 79 16 0 14 Nov 2020
Low-Resource Adaptation of Neural NLP Models Farhad Nooralahzadeh 83 0 0 09 Nov 2020
Enhanced Few-shot Learning for Intrusion Detection in Railway Video Surveillance Xiao Gong Xi Chen Wei Chen 98 28 0 09 Nov 2020
Meta-Learning with Adaptive Hyperparameters Sungyong Baik Myungsub Choi Janghoon Choi Heewon Kim Kyoung Mu Lee 120 126 0 31 Oct 2020
Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification Shuman Peng Weilian Song Martin Ester 30 3 0 31 Oct 2020
Why Do Better Loss Functions Lead to Less Transferable Features? Simon Kornblith Ting-Li Chen Honglak Lee Mohammad Norouzi FaML 121 92 0 30 Oct 2020
Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction Haiyang Yu Ningyu Zhang Shumin Deng Hongbin Ye Wei Zhang Huajun Chen 69 49 0 30 Oct 2020
Dynamic Boundary Time Warping for Sub-sequence Matching with Few Examples Łukasz Borchmann Dawid Jurkiewicz Filip Graliñski Tomasz Górecki 48 0 0 27 Oct 2020
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference Jianguo Zhang Kazuma Hashimoto Wenhao Liu Chien-Sheng Wu Yao Wan Philip S. Yu R. Socher Caiming Xiong 100 93 0 25 Oct 2020
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting Mahesh Kumar Krishna Reddy Mrigank Rochan Yiwei Lu Yang Wang 84 27 0 23 Oct 2020
Zero-Shot Learning from scratch (ZFS): leveraging local compositional representations Tristan Sylvain Linda Petrini R. Devon Hjelm VLM 46 7 0 22 Oct 2020
Few-shot Image Recognition with Manifolds Debasmit Das J. Moon C. S. George Lee 80 9 0 22 Oct 2020
Online Structured Meta-learning Huaxiu Yao Yingbo Zhou M. Mahdavi Z. Li R. Socher Caiming Xiong 90 28 0 22 Oct 2020
Graph Attention Networks for Speaker Verification Jee-weon Jung Hee-Soo Heo Ha-Jin Yu Joon Son Chung 93 27 0 22 Oct 2020
Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training Yingyao Wang Junwei Bao Guangyi Liu Youzheng Wu Xiaodong He Bowen Zhou Tiejun Zhao 59 41 0 21 Oct 2020
Learning to Learn Variational Semantic Memory Xiantong Zhen Yingjun Du Huan Xiong Qiang Qiu Cees G. M. Snoek Ling Shao SSL BDL VLM DRL 66 36 0 20 Oct 2020
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition Yuqian Fu Li Zhang Junke Wang Yanwei Fu Yu-Gang Jiang 82 99 0 20 Oct 2020
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion Shuaiyi Nie Shu Guo Zhenyu Chen Juwei Yue Lihong Wang Tingwen Liu Hongbo Xu 165 119 0 19 Oct 2020
Meta-learning the Learning Trends Shared Across Tasks Jathushan Rajasegaran Salman Khan Munawar Hayat Fahad Shahbaz Khan M. Shah 45 7 0 19 Oct 2020
Self-training for Few-shot Transfer Across Extreme Task Differences Cheng Perng Phoo B. Hariharan SSL 126 109 0 15 Oct 2020
Function Contrastive Learning of Transferable Meta-Representations Muhammad Waleed Gondal S. Joshi Nasim Rahaman Stefan Bauer Manuel Wüthrich Bernhard Schölkopf SSL 47 19 0 14 Oct 2020
Cross-Domain Few-Shot Learning by Representation Fusion Thomas Adler Johannes Brandstetter Michael Widrich Andreas Mayr David P. Kreil Michael K Kopp Günter Klambauer Sepp Hochreiter OOD 101 45 0 13 Oct 2020
Few-shot Action Recognition with Implicit Temporal Alignment and Pair Similarity Optimization Congqi Cao Yajuan Li Qinyi Lv Peng Wang Yanning Zhang 61 32 0 13 Oct 2020
Generalized Few-shot Semantic Segmentation Zhuotao Tian Xin Lai Li Jiang Shu Liu Michelle Shu Hengshuang Zhao Jiaya Jia VLM 73 82 0 11 Oct 2020
Addressing the Real-world Class Imbalance Problem in Dermatology W. Weng Jonathan Deaton Vivek Natarajan Gamaleldin F. Elsayed Yuan Liu 62 14 0 09 Oct 2020
A Survey of Deep Meta-Learning Mike Huisman Jan N. van Rijn Aske Plaat 201 334 0 07 Oct 2020
Variational Feature Disentangling for Fine-Grained Few-Shot Classification Jingyi Xu Hieu M. Le Mingzhen Huang ShahRukh Athar Dimitris Samaras DRL 48 55 0 07 Oct 2020