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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
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start Wenpeng Yin Nazneen Rajani Dragomir R. Radev R. Socher Caiming Xiong 90 69 0 06 Oct 2020
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection Hoang Nguyen Chenwei Zhang Congying Xia Philip S. Yu 85 27 0 06 Oct 2020
Shot in the Dark: Few-Shot Learning with No Base-Class Labels Z. Chen Subhransu Maji Erik Learned-Miller SSL VLM 53 20 0 06 Oct 2020
Improving Few-Shot Learning through Multi-task Representation Learning Theory Quentin Bouniot I. Redko Romaric Audigier Angélique Loesch Amaury Habrard 99 10 0 05 Oct 2020
Robust High-dimensional Memory-augmented Neural Networks G. Karunaratne Manuel Schmuck Manuel Le Gallo G. Cherubini Luca Benini Abu Sebastian Abbas Rahimi 82 103 0 05 Oct 2020
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts Xudong Wang Long Lian Zhongqi Miao Ziwei Liu Stella X. Yu 137 394 0 05 Oct 2020
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization Lanqing Li Rui Yang Dijun Luo OffRL 80 9 0 02 Oct 2020
Taking Modality-free Human Identification as Zero-shot Learning Zhizhe Liu Xingxing Zhang Zhenfeng Zhu Shuai Zheng Yao Zhao Jian Cheng 54 4 0 02 Oct 2020
Fast Few-Shot Classification by Few-Iteration Meta-Learning A. S. Tripathi Martin Danelljan Luc Van Gool Radu Timofte 82 6 0 01 Oct 2020
Meta-Consolidation for Continual Learning K. J. Joseph V. Balasubramanian CLL 99 56 0 01 Oct 2020
MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization Yangbin Chen Yun Ma Tom Ko Jianping Wang Qing Li VLM 56 8 0 29 Sep 2020
A Primal-Dual Subgradient Approachfor Fair Meta Learning Chenxu Zhao Feng Chen Zhuoyi Wang Latifur Khan FaML 47 0 0 26 Sep 2020
Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images Zixuan Xiao Wei Xue P. Zhong 124 33 0 26 Sep 2020
A Few-shot Learning Approach for Historical Ciphered Manuscript Recognition Mohamed Ali Souibgui Alicia Fornés Yousri Kessentini Crina Tudor 83 20 0 26 Sep 2020
Attribute Propagation Network for Graph Zero-shot Learning Lu Liu Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang VLM 82 75 0 24 Sep 2020
Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning Henry Kvinge Zach New Nico Courts J. H. Lee Lauren A. Phillips Court D. Corley Aaron Tuor Andrew Avila Nathan Oken Hodas 31 2 0 23 Sep 2020
Representation Learning from Limited Educational Data with Crowdsourced Labels Wentao Wang Guowei Xu Wenbiao Ding Gale Yan Huang Guoliang Li Jiliang Tang Zitao Liu SSL 118 12 0 23 Sep 2020
Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding Su Zhu Ruisheng Cao Lu Chen Kai Yu VLM 65 9 0 21 Sep 2020
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition Tianshui Chen Liang Lin Riquan Chen X. Hui Hefeng Wu 96 157 0 20 Sep 2020
Weak-shot Fine-grained Classification via Similarity Transfer Junjie Chen Li Niu Liu Liu Liqing Zhang 98 21 0 19 Sep 2020
Online Speaker Diarization with Relation Network Xiang Li Yucheng Zhao Chong Luo Wenjun Zeng 32 2 0 17 Sep 2020
Using Sensory Time-cue to enable Unsupervised Multimodal Meta-learning Qiong Liu Yanxia Zhang AI4TS 23 2 0 16 Sep 2020
Augmented Natural Language for Generative Sequence Labeling Ben Athiwaratkun Cicero Nogueira dos Santos Jason Krone Bing Xiang VLM 73 64 0 15 Sep 2020
SML: Semantic Meta-learning for Few-shot Semantic Segmentation Ayyappa Kumar Pambala Titir Dutta Soma Biswas 105 23 0 14 Sep 2020
Adaptive Text Recognition through Visual Matching Chuhan Zhang Ankush Gupta Andrew Zisserman VLM 62 22 0 14 Sep 2020
Synbols: Probing Learning Algorithms with Synthetic Datasets Alexandre Lacoste Pau Rodríguez Frederic Branchaud-Charron Parmida Atighehchian Massimo Caccia I. Laradji Alexandre Drouin Matt Craddock Laurent Charlin David Vázquez 81 14 0 14 Sep 2020
Few-shot Learning with LSSVM Base Learner and Transductive Modules Haoqing Wang Zhihong Deng 37 1 0 12 Sep 2020
Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition Siteng Huang Min Zhang Yachen Kang Donglin Wang 49 43 0 10 Sep 2020
Proxy Network for Few Shot Learning Bin Xiao Chien-Liang Liu W. Hsaio 30 5 0 09 Sep 2020
One-shot Text Field Labeling using Attention and Belief Propagation for Structure Information Extraction Mengli Cheng Minghui Qiu Xing Shi Jun Huang Wei Lin VLM 75 27 0 09 Sep 2020
Region Comparison Network for Interpretable Few-shot Image Classification Z. Xue Lixin Duan Wen Li Lin Chen Jiebo Luo 61 16 0 08 Sep 2020
Information Theoretic Meta Learning with Gaussian Processes Michalis K. Titsias Francisco J. R. Ruiz Sotirios Nikoloutsopoulos Alexandre Galashov FedML 106 15 0 07 Sep 2020
A Survey on Machine Learning from Few Samples Jiang Lu Pinghua Gong Jieping Ye Jianwei Zhang Changshu Zhang 98 52 0 06 Sep 2020
Class Interference Regularization Bharti Munjal S. Amin Fabio Galasso 38 0 0 04 Sep 2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation Sicheng Zhao Xiangyu Yue Shanghang Zhang Yue Liu Han Zhao ... Ravi Krishna Joseph E. Gonzalez Alberto L. Sangiovanni-Vincentelli Sanjit A. Seshia Kurt Keutzer 135 270 0 01 Sep 2020
Few-Shot Object Detection via Knowledge Transfer Geonuk Kim Hong G Jung Seong-Whan Lee ObjD 90 28 0 28 Aug 2020
All About Knowledge Graphs for Actions P. Ghosh Nirat Saini L. Davis Abhinav Shrivastava 80 31 0 28 Aug 2020
Meta-Learning with Shared Amortized Variational Inference E. Iakovleva Jakob Verbeek Alahari Karteek OOD FedML BDL 55 22 0 27 Aug 2020
Transductive Information Maximization For Few-Shot Learning Malik Boudiaf Imtiaz Masud Ziko Jérôme Rony José Dolz Pablo Piantanida Ismail Ben Ayed VLM 83 79 0 25 Aug 2020
Learning to Learn in a Semi-Supervised Fashion Yun-Chun Chen Chao-Te Chou Y. Wang SSL 94 6 0 25 Aug 2020
Few-Shot Image Classification via Contrastive Self-Supervised Learning Jianyi Li Guizhong Liu VLM SSL MQ 46 13 0 23 Aug 2020
Few-Shot Learning with Intra-Class Knowledge Transfer Vivek Roy Yan Xu Yu-Xiong Wang Kris Kitani Ruslan Salakhutdinov M. Hebert VLM 57 3 0 22 Aug 2020
BOIL: Towards Representation Change for Few-shot Learning Jaehoon Oh Hyungjun Yoo ChangHwan Kim Seyoung Yun 49 9 0 20 Aug 2020
Dataset Bias in Few-shot Image Recognition Shuqiang Jiang Yaohui Zhu Chenlong Liu Xinhang Song Xiangyang Li Weiqing Min 93 22 0 18 Aug 2020
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis Zhipeng Bao Yu-Xiong Wang M. Hebert 85 11 0 16 Aug 2020
PointMixup: Augmentation for Point Clouds Yunlu Chen Vincent Tao Hu E. Gavves Thomas Mensink Pascal Mettes Pengwan Yang Cees G. M. Snoek 3DPC 76 158 0 14 Aug 2020
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation Xianghui Yang Bairun Wang Kaige Chen Xinchi Zhou Shuai Yi Wanli Ouyang Luping Zhou 63 49 0 14 Aug 2020
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective Baifeng Shi Dinghuai Zhang Qi Dai Zhanxing Zhu Yadong Mu Jingdong Wang OOD 72 112 0 10 Aug 2020
Cooperative Bi-path Metric for Few-shot Learning Zeyuan Wang Yifan Zhao Jia Li Yonghong Tian 53 35 0 10 Aug 2020
Unravelling Small Sample Size Problems in the Deep Learning World Rohit Keshari Soumyadeep Ghosh S. Chhabra Mayank Vatsa Richa Singh 102 33 0 08 Aug 2020