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
Towards Task Sampler Learning for Meta-Learning Wenwen Qiang Jingyao Wang Xingzhe Su Changwen Zheng Gang Hua Hui Xiong 27 10 0 18 Jul 2023
Unifying Token and Span Level Supervisions for Few-Shot Sequence Labeling Zifeng Cheng Qingyu Zhou Zhiwei Jiang Xuemin Zhao Yunbo Cao Qing Gu 20 3 0 16 Jul 2023
A metric learning approach for endoscopic kidney stone identification Jorge Gonzalez-Zapata F. Lopez-Tiro Elias Villalvazo-Avila Daniel Flores-Araiza Jacques Hubert Andres Mendez-Vazquez G. Ochoa-Ruiz C. Daul 36 4 0 13 Jul 2023
Feature Activation Map: Visual Explanation of Deep Learning Models for Image Classification Yiwen Liao Yongsheng Gao Weichuan Zhang FAtt 12 0 0 11 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 24 70 0 10 Jul 2023
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models? Zihao Jiang Yunkai Dang Dong Pang Huishuai Zhang Weiran Huang VLM 33 2 0 09 Jul 2023
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation Dahyun Kang Piotr Koniusz Minsu Cho Naila Murray VLM ViT 28 25 0 07 Jul 2023
Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning P. JishnuJaykumar Kamalesh Palanisamy Yu-Wei Chao Xinya Du Yu Xiang VLM 23 12 0 06 Jul 2023
Task-Specific Alignment and Multiple Level Transformer for Few-Shot Action Recognition Fei-Yu Guo Li Zhu Yiwang Wang Jing Sun ViT 29 6 0 05 Jul 2023
LPN: Language-guided Prototypical Network for few-shot classification Kaihui Cheng Chule Yang Xiao Liu Naiyang Guan Zhiyuan Wang 47 0 0 04 Jul 2023
Contrastive Meta-Learning for Few-shot Node Classification Song Wang Zhen Tan Huan Liu Jundong Li 26 15 0 27 Jun 2023
An Integral Projection-based Semantic Autoencoder for Zero-Shot Learning William Heyden Habib Ullah M. Salman Siddiqui Fadi Al Machot VLM 21 4 0 26 Jun 2023
Practical Equivariances via Relational Conditional Neural Processes Daolang Huang Manuel Haussmann Ulpu Remes S. T. John Grégoire Clarté K. Luck Samuel Kaski Luigi Acerbi BDL 60 8 0 19 Jun 2023
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning Yifan Zhao Tong Zhang Jia Li Yonghong Tian 44 19 0 18 Jun 2023
Federated Few-shot Learning Song Wang Xingbo Fu Kaize Ding Chen Chen Huiyuan Chen Jundong Li FedML 42 22 0 17 Jun 2023
FewSAR: A Few-shot SAR Image Classification Benchmark Rui Zhang Ziqi Wang Yongqian Li Jiabao Wang Zhiteng Wang 20 1 0 16 Jun 2023
One-Shot Learning of Visual Path Navigation for Autonomous Vehicles Zhongying CuiZhu François Charette A. Ghafourian Debo Shi Matthew Cui Anjali Krishnamachar I. S. Bozchalooi 29 1 0 15 Jun 2023
Compositional Prototypical Networks for Few-Shot Classification Qiang Lyu Weiqiang Wang 18 9 0 11 Jun 2023
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning Yingjun Du Jiayi Shen Xiantong Zhen Cees G. M. Snoek 27 1 0 08 Jun 2023
Unsupervised augmentation optimization for few-shot medical image segmentation Quan Quan Shang Zhao Qingsong Yao Heqin Zhu S. Kevin Zhou 29 1 0 08 Jun 2023
Assessing Phrase Break of ESL Speech with Pre-trained Language Models and Large Language Models Zhiyi Wang Shaoguang Mao Wenshan Wu Yan Xia Yan Deng Jonathan Tien 23 4 0 08 Jun 2023
Meta-Learning in Spiking Neural Networks with Reward-Modulated STDP Arsham Gholamzadeh Khoee Alireza Javaheri Saeed Reza Kheradpisheh M. Ganjtabesh OOD 28 4 0 07 Jun 2023
Learning Embeddings for Sequential Tasks Using Population of Agents Mridul Mahajan Georgios Tzannetos Goran Radanović Adish Singla FedML 28 0 0 05 Jun 2023
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation Shuo Lei Xuchao Zhang Jianfeng He Fanglan Chen Chang-Tien Lu VLM 4 15 0 03 Jun 2023
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work Qiangchang Wang Yilong Yin 23 0 0 02 Jun 2023
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning Tao Zhang Wu Huang 13 2 0 30 May 2023
Task-Equivariant Graph Few-shot Learning Sungwon Kim Junseok Lee Namkyeong Lee Wonjoon Kim Seung-Deok Choi Chanyoung Park 26 6 0 30 May 2023
Epistemic Graph: A Plug-And-Play Module For Hybrid Representation Learning Jin Yuan Yang Zhang Yangzhou Du Zhongchao Shi Xin Geng Jianping Fan Yong Rui 29 0 0 30 May 2023
LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning Amirhossein Abaskohi S. Rothe Yadollah Yaghoobzadeh VLM 32 16 0 29 May 2023
Few-shot Class-incremental Audio Classification Using Adaptively-refined Prototypes Wei-xin Xie Yanxiong Li Qianhua He Wenchang Cao Tuomas Virtanen CLL 30 6 0 29 May 2023
The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification Linhao Qu X. Luo Kexue Fu Manning Wang Zhijian Song 35 22 0 29 May 2023
propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans Zi Chen Jiazheng Li Jie Zhao Yiting Liu Hongfeng Li Bin Dong Lei Tang Li Zhang 18 1 0 29 May 2023
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning Zhenrui Yue Huimin Zeng Mengfei Lan Heng Ji D. Wang VLM 26 14 0 27 May 2023
Instance-based Max-margin for Practical Few-shot Recognition Minghao Fu Kevin Zhu Jianxin Wu 35 2 0 27 May 2023
EXnet: Efficient In-context Learning for Data-less Text classification Debaditya Shome Kuldeep Yadav 23 1 0 24 May 2023
Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation Shuting He Xudong Jiang Wei Jiang Henghui Ding 3DPC 32 33 0 23 May 2023
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification Idio Guarino Chao Wang A. Finamore A. Pescapé Dario Rossi 21 11 0 21 May 2023
MsPrompt: Multi-step Prompt Learning for Debiasing Few-shot Event Detection Siyuan Wang Jianming Zheng Xuejun Hu Fei Cai Chengyu Song Xueshan Luo 29 6 0 16 May 2023
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification J. Chen Richong Zhang Yongyi Mao Jie Xue 27 78 0 16 May 2023
SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification M. Mendez-Ruiz Jorge Gonzalez-Zapata Iván Reyes-Amezcua Daniel Flores-Araiza F. Lopez-Tiro Andres Mendez-Vazquez G. Ochoa-Ruiz 29 2 0 15 May 2023
Learning More Discriminative Local Descriptors for Few-shot Learning Qi Song Siyun Zhou Liwei Xu 22 2 0 15 May 2023
Meta-DM: Applications of Diffusion Models on Few-Shot Learning W. Hu Xiurong Jiang Jiarun Liu Yuqi Yang Hui Tian DiffM 23 7 0 14 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
Robust Saliency-Aware Distillation for Few-shot Fine-grained Visual Recognition Haiqi Liu Cheng Chen Xinrong Gong Tong Zhang 32 9 0 12 May 2023
Few-shot Action Recognition via Intra- and Inter-Video Information Maximization Huabin Liu W. Lin Tieyuan Chen Yuxi Li Shuyuan Li John See 44 5 0 10 May 2023
Plug-and-Play Multilingual Few-shot Spoken Words Recognition Aaqib Saeed Vasileios Tsouvalas 12 0 0 03 May 2023
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models Qiufeng Wang Xu Yang Shuxia Lin Jing Wang Xin Geng 23 10 0 03 May 2023
Discovering the Effectiveness of Pre-Training in a Large-scale Car-sharing Platform Kyungchul Park Hyun-Kyo Chung 17 0 0 02 May 2023
Few-shot Classification via Ensemble Learning with Multi-Order Statistics Sai Yang Fan Liu Delong Chen Jun Zhou 24 6 0 30 Apr 2023
Analogy-Forming Transformers for Few-Shot 3D Parsing N. Gkanatsios M. Singh Zhaoyuan Fang Shubham Tulsiani Katerina Fragkiadaki 3DPC 3DV 21 2 0 27 Apr 2023