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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
Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition Yixiong Zou Shanghang Zhang Jianpeng Yu Yonghong Tian José M. F. Moura 50 16 0 07 Aug 2020
Few-Shot Drum Transcription in Polyphonic Music Yu Wang Justin Salamon M. Cartwright Nicholas J. Bryan J. P. Bello 148 20 0 06 Aug 2020
Few-shot Classification via Adaptive Attention Zihang Jiang Bingyi Kang Kuangqi Zhou Jiashi Feng 51 19 0 06 Aug 2020
F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation Y. Hong Li Niu Jianfu Zhang Weijie Zhao Chenghan Fu Liqing Zhang GAN 95 87 0 05 Aug 2020
I-AID: Identifying Actionable Information from Disaster-related Tweets Hamada M. Zahera Rricha Jalota M. A. Sherif A. N. Ngomo 58 14 0 04 Aug 2020
Prior Guided Feature Enrichment Network for Few-Shot Segmentation Zhuotao Tian Hengshuang Zhao Michelle Shu Zhicheng Yang Ruiyu Li Jiaya Jia 94 520 0 04 Aug 2020
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation Atmadeep Banerjee SSeg VLM 45 5 0 01 Aug 2020
Designing Neural Speaker Embeddings with Meta Learning Manoj Kumar Tae Jin Park Somer Bishop Shrikanth Narayanan 85 10 0 31 Jul 2020
Learning from Few Samples: A Survey Nihar Bendre Hugo Terashima-Marín Peyman Najafirad VLM BDL 87 54 0 30 Jul 2020
Improving Generalization in Meta-learning via Task Augmentation Huaxiu Yao Long-Kai Huang Linjun Zhang Ying Wei Li Tian James Zou Junzhou Huang Z. Li 119 84 0 26 Jul 2020
Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-Learning Shen Zhang Fei Ye Bingnan Wang T. Habetler 46 81 0 25 Jul 2020
Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection Xianyu Chen Ming Jiang Qi Zhao ObjD 37 14 0 23 Jul 2020
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 294 338 0 22 Jul 2020
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach Xian Zhong Cheng Gu Wenxin Huang Lin Li Shuqin Chen Chia-Wen Lin SSL 39 12 0 21 Jul 2020
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes Jake C. Snell R. Zemel 109 63 0 20 Jul 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation Cheng Ouyang C. Biffi Chen Chen Turkay Kart Huaqi Qiu Daniel Rueckert 104 210 0 20 Jul 2020
One-Shot Learning for Language Modelling Talip Uçar Adrián González-Martín Matthew Lee Adrian Daniel Szwarc 27 3 0 19 Jul 2020
Meta-learning for Few-shot Natural Language Processing: A Survey Wenpeng Yin 81 78 0 19 Jul 2020
Few-Shot Defect Segmentation Leveraging Abundant Normal Training Samples Through Normal Background Regularization and Crop-and-Paste Operation Dongyun Lin Yanpeng Cao Wenbin Zhu Yiqun Li UQCV 135 6 0 18 Jul 2020
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection Jiaxi Wu Songtao Liu Di Huang Yunhong Wang ObjD 136 287 0 18 Jul 2020
Explanation-Guided Training for Cross-Domain Few-Shot Classification Jiamei Sun Sebastian Lapuschkin Wojciech Samek Yunqing Zhao Ngai-Man Cheung Alexander Binder 72 90 0 17 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning Evan Vogelbaum Rumen Dangovski L. Jing Marin Soljacic 117 3 0 17 Jul 2020
Adaptive Task Sampling for Meta-Learning Chenghao Liu Zhihao Wang Doyen Sahoo Yuan Fang Kun Zhang Guosheng Lin 104 55 0 17 Jul 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs Dasol Hwang Jinyoung Park Sunyoung Kwon KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 103 69 0 16 Jul 2020
Learning to Learn with Variational Information Bottleneck for Domain Generalization Yingjun Du Jun Xu Huan Xiong Qiang Qiu Xiantong Zhen Cees G. M. Snoek Ling Shao BDL OOD 80 169 0 15 Jul 2020
How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning Yikai Wang Li Zhang Yuan Yao Yanwei Fu 135 44 0 15 Jul 2020
Concept Learners for Few-Shot Learning Kaidi Cao Maria Brbic J. Leskovec VLM OffRL 92 4 0 14 Jul 2020
Attentive Graph Neural Networks for Few-Shot Learning Hao Cheng Qiufeng Wang Wee Peng Tay Bihan Wen 41 13 0 14 Jul 2020
Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification Yucan Zhou Yu Wang Jianfei Cai Yu Zhou Q. Hu Weiping Wang VLM 65 12 0 13 Jul 2020
Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine Pseudo-Labeling with Visual-Semantic Meta-Embedding Jinhai Yang Han Yang Lin Chen 53 20 0 11 Jul 2020
$n$ -Reference Transfer Learning for Saliency Prediction Yan Luo Yongkang Wong Mohan Kankanhalli Qi Zhao 32 5 0 09 Jul 2020
Invertible Zero-Shot Recognition Flows Yuming Shen Jie Qin Lei Huang BDL AI4CE 101 103 0 09 Jul 2020
Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant Network Ademola Oladosu Tony Xu Philip Ekfeldt Brian A. Kelly M. Cranmer S. Ho A. Price-Whelan Gabriella Contardo 50 1 0 08 Jul 2020
Predicting the Accuracy of a Few-Shot Classifier Myriam Bontonou Louis Bethune Vincent Gripon 78 4 0 08 Jul 2020
Few-Shot One-Class Classification via Meta-Learning A. Frikha Denis Krompass Hans-Georg Koepken Volker Tresp 80 56 0 08 Jul 2020
On Learning Semantic Representations for Million-Scale Free-Hand Sketches Peng Xu Yongye Huang Tongtong Yuan Tao Xiang Timothy M. Hospedales Yi-Zhe Song Liang Wang SSL 83 4 0 07 Jul 2020
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs Meng Qu Tianyu Gao Louis-Pascal Xhonneux Jian Tang BDL 98 112 0 05 Jul 2020
MetaConcept: Learn to Abstract via Concept Graph for Weakly-Supervised Few-Shot Learning Baoquan Zhang Ka-Cheong Leung Yunming Ye Xutao Li 91 1 0 05 Jul 2020
Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation B. Yan Dong Wang Huchuan Lu Xiaoyun Yang 107 175 0 04 Jul 2020
A Few-Shot Sequential Approach for Object Counting Negin Sokhandan Pegah Kamousi Alejandro Posada Eniola Alese Negar Rostamzadeh 57 3 0 03 Jul 2020
Uniform Priors for Data-Efficient Transfer Samarth Sinha Karsten Roth Anirudh Goyal Marzyeh Ghassemi Hugo Larochelle Animesh Garg OOD 121 0 0 30 Jun 2020
Improving Few-Shot Learning using Composite Rotation based Auxiliary Task Pratik Mazumder Pravendra Singh Vinay P. Namboodiri 72 9 0 29 Jun 2020
Laplacian Regularized Few-Shot Learning Imtiaz Masud Ziko Jose Dolz Eric Granger Ismail Ben Ayed 82 176 0 28 Jun 2020
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy Lu Liu Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang 69 28 0 28 Jun 2020
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification Xiaoxu Li Liyun Yu Xiaochen Yang Zhanyu Ma Jing-Hao Xue Jie Cao Jun Guo 70 16 0 27 Jun 2020
Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings Mayee F. Chen Daniel Y. Fu Frederic Sala Sen Wu Ravi Teja Mullapudi Fait Poms Kayvon Fatahalian Christopher Ré 61 10 0 26 Jun 2020
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy Yu Tian Gabriel Maicas L. Pu Rajvinder Singh Johan Verjans G. Carneiro MedIm 76 39 0 26 Jun 2020
Discrete Few-Shot Learning for Pan Privacy Roei Gelbhart Benjamin I. P. Rubinstein 32 1 0 23 Jun 2020
Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering Xin Cong Yu Bowen Tingwen Liu Shiyao Cui Hengzhu Tang Bin Wang 52 21 0 23 Jun 2020
Graph Prototypical Networks for Few-shot Learning on Attributed Networks Kaize Ding Jianling Wang Jundong Li Kai Shu Chenghao Liu Huan Liu 58 165 0 23 Jun 2020