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 Long-Tailed Learning: A Survey Yifan Zhang Bingyi Kang Bryan Hooi Shuicheng Yan Jiashi Feng VLM 23 561 0 09 Oct 2021
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification Jinghan Sun Dong Wei Kai Ma Liansheng Wang Yefeng Zheng 32 8 0 09 Oct 2021
SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification Baoquan Zhang Shanshan Feng Xutao Li Yunming Ye Rui Ye 32 40 0 09 Oct 2021
Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning Sungyong Baik Janghoon Choi Heewon Kim Dohee Cho Jaesik Min Kyoung Mu Lee 21 97 0 08 Oct 2021
Weak Novel Categories without Tears: A Survey on Weak-Shot Learning Li Niu VLM OffRL 21 2 0 06 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-xiong Wang 37 13 0 06 Oct 2021
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning Cat P. Le Juncheng Dong Mohammadreza Soltani Vahid Tarokh 28 11 0 05 Oct 2021
Learning Online Visual Invariances for Novel Objects via Supervised and Self-Supervised Training Valerio Biscione J. Bowers 51 13 0 04 Oct 2021
Meta-learning an Intermediate Representation for Few-shot Block-wise Prediction of Landslide Susceptibility Li Chen Yulin Ding Saeid Pirasteh Han Hu Qing Zhu Haowei Zeng Haojia Yu Qisen Shang Yongfei Song 24 9 0 03 Oct 2021
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond Risheng Liu Yaohua Liu Shangzhi Zeng Jin Zhang 35 80 0 01 Oct 2021
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation Jay Patravali Gaurav Mittal Ye Yu Fuxin Li Mei Chen 18 19 0 30 Sep 2021
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis Qi Chen Changjian Shui M. Marchand 45 43 0 29 Sep 2021
Fine-Grained Zero-Shot Learning with DNA as Side Information Sarkhan Badirli Zeynep Akata G. Mohler Christel Picard M. M. Dundar SyDa BDL 48 35 0 29 Sep 2021
PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask Xiaoliu Luo Zhuotao Tian Taiping Zhang Bei Yu Yuan Yan Tang Jiaya Jia 46 37 0 28 Sep 2021
Multimodality in Meta-Learning: A Comprehensive Survey Yao Ma Shilin Zhao Weixiao Wang Yaoman Li Irwin King 57 53 0 28 Sep 2021
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images Pierre Le Jeune M. Lebbah Anissa Zergaïnoh-Mokraoui Hanene Azzag ObjD 30 9 0 27 Sep 2021
Sparse Spatial Transformers for Few-Shot Learning Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen ViT 24 32 0 27 Sep 2021
Disentangled Feature Representation for Few-shot Image Classification Hao Cheng Yufei Wang Haoliang Li Alex C. Kot Bihan Wen 57 28 0 26 Sep 2021
Learning by Examples Based on Multi-level Optimization Shentong Mo P. Xie 29 0 0 22 Sep 2021
A Few-Shot Learning Approach for Sound Source Distance Estimation Using Relation Networks Amirreza Sobhdel R. Razavi-Far 47 4 0 22 Sep 2021
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models Ivan Vulić Pei-hao Su Sam Coope D. Gerz Paweł Budzianowski I. Casanueva Nikola Mrkvsić Tsung-Hsien Wen 27 36 0 21 Sep 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-xiong Wang José M. F. Moura 35 28 0 20 Sep 2021
Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks Gaël Guibon Matthieu Labeau Hélène Flamein Luce Lefeuvre Chloé Clavel 52 33 0 20 Sep 2021
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning Shuai Shao Lei Xing Yan Wang Rui Xu Chunyan Zhao Yanjiang Wang Baodi Liu 43 35 0 16 Sep 2021
Few-Shot Object Detection by Attending to Per-Sample-Prototype Hojun Lee Myunggi Lee Nojun Kwak ObjD 33 30 0 16 Sep 2021
Partner-Assisted Learning for Few-Shot Image Classification Jiawei Ma Hanchen Xie G. Han Shih-Fu Chang Aram Galstyan Wael AbdAlmageed VLM 34 66 0 15 Sep 2021
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD Chen Fan Parikshit Ram Sijia Liu FedML 61 16 0 15 Sep 2021
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification Jedrzej Kozerawski M. Turk VLM MQ 27 5 0 14 Sep 2021
Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning Chi Zhang Henghui Ding Guosheng Lin Ruibo Li Changhu Wang Chunhua Shen 42 40 0 13 Sep 2021
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention Jiawei Chen Hongyu Lin Xianpei Han Le Sun 95 27 0 13 Sep 2021
Fine-Grained Few Shot Learning with Foreground Object Transformation Chaofei Wang S. Song Qisen Yang Xiang Li Gao Huang 34 23 0 13 Sep 2021
Exploring Task Difficulty for Few-Shot Relation Extraction Jiale Han Bo Cheng Wei Lu 22 74 0 12 Sep 2021
Rapid Model Architecture Adaption for Meta-Learning Yiren Zhao Xitong Gao Ilia Shumailov Nicolò Fusi Robert D. Mullins 40 4 0 10 Sep 2021
LibFewShot: A Comprehensive Library for Few-shot Learning Wenbin Li Ziyi Ziyi Wang Xuesong Yang C. Dong ... Jing Huo Yinghuan Shi Lei Wang Yang Gao Jiebo Luo VLM 116 66 0 10 Sep 2021
Knowledge-Aware Meta-learning for Low-Resource Text Classification Huaxiu Yao Yingxin Wu Maruan Al-Shedivat Eric Xing VLM CLIP 72 11 0 10 Sep 2021
Adaptive Few-Shot Learning PoC Ultrasound COVID-19 Diagnostic System Michael Karnes Shehan Perera S. Adhikari Alper Yilmaz 20 7 0 08 Sep 2021
Few-shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network with Adaptive Sample Pair Formation Kexin Feng Theodora Chaspari 19 26 0 07 Sep 2021
Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis Zejiang Hou S. Kung 19 1 0 07 Sep 2021
Iterative Pseudo-Labeling with Deep Feature Annotation and Confidence-Based Sampling B. C. Benato A. Telea A. X. Falcão 28 12 0 06 Sep 2021
Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition Xiyao Liu Zhong Ji Yanwei Pang Zhongfei Zhang 33 17 0 03 Sep 2021
Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning Zhong Ji Zhishen Hou Xiyao Liu Yanwei Pang Jungong Han 22 20 0 03 Sep 2021
Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification Yike Wu Bo Zhang Gang Yu Weixiao Zhang Bin Wang Tao Chen Jiayuan Fan ObjD 34 24 0 30 Aug 2021
Binocular Mutual Learning for Improving Few-shot Classification Ziqi Zhou Xi Qiu Jiangtao Xie Jianan Wu Chi Zhang SSL 18 76 0 27 Aug 2021
Few-shot Visual Relationship Co-localization Revant Teotia Vaibhav Mishra Mayank Maheshwari Anand Mishra 20 1 0 26 Aug 2021
Learning Class-level Prototypes for Few-shot Learning Minglei Yuan Wenhai Wang Tao Wang Chunhao Cai Qian Xu Tong Lu VLM 25 3 0 25 Aug 2021
Normal Learning in Videos with Attention Prototype Network Chao Hu Fan Wu Weijie Wu Weibin Qiu Shengxin Lai 25 1 0 25 Aug 2021
Adaptation-Agnostic Meta-Training Jiaxin Chen Li-Ming Zhan Xiao-Ming Wu K. F. Chung 37 0 0 24 Aug 2021
Relational Embedding for Few-Shot Classification Dahyun Kang Heeseung Kwon Juhong Min Minsu Cho 39 185 0 22 Aug 2021
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection Limeng Qiao Yuxuan Zhao Zhiyuan Li Xi Qiu Jianan Wu Chi Zhang ObjD 30 197 0 20 Aug 2021
Few Shot Activity Recognition Using Variational Inference Neeraj Kumar Siddhansh Narang BDL VLM 18 5 0 20 Aug 2021