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
P4E: Few-Shot Event Detection as Prompt-Guided Identification and Localization Sha Li Liyuan Liu Yiqing Xie Heng Ji Jiawei Han 41 4 0 15 Feb 2022
Cross Domain Few-Shot Learning via Meta Adversarial Training Jirui Qi Richong Zhang Chune Li Yongyi Mao 11 3 0 11 Feb 2022
Spectral Propagation Graph Network for Few-shot Time Series Classification Ling Yang linda Qiao Luxia Zhang 13 2 0 08 Feb 2022
MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation Yuntao Du Xinjun Zhu Lu Chen Ziquan Fang Yunjun Gao VLM OffRL 29 46 0 08 Feb 2022
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One-Shot Learning Yash Jakhotiya Vaibhav Kumar Ashwin Pathak Raj Sanjay Shah 11 1 0 04 Feb 2022
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks Lang Liu M. M. Fard Sen Zhao OOD 31 3 0 04 Feb 2022
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty Jaehoon Oh Sungnyun Kim Namgyu Ho Jin-Hwa Kim Hwanjun Song Se-Young Yun 30 34 0 01 Feb 2022
Fully Online Meta-Learning Without Task Boundaries Jathushan Rajasegaran Chesea Finn Sergey Levine CLL 22 3 0 01 Feb 2022
Compositional Multi-Object Reinforcement Learning with Linear Relation Networks Davide Mambelli Frederik Trauble Stefan Bauer Bernhard Schölkopf Francesco Locatello OCL 35 17 0 31 Jan 2022
A Survey on Visual Transfer Learning using Knowledge Graphs Sebastian Monka Lavdim Halilaj Achim Rettinger 33 23 0 27 Jan 2022
The Effect of Diversity in Meta-Learning Ramnath Kumar T. Deleu Yoshua Bengio 16 13 0 27 Jan 2022
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation Jixuan Wang Kuan-Chieh Jackson Wang Frank Rudzicz M. Brudno VLM 25 21 0 27 Jan 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 22 31 0 20 Jan 2022
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework Xinyi Zou Y. Yan Jing-Hao Xue Si Chen Hanzi Wang 43 14 0 18 Jan 2022
Multi-level Second-order Few-shot Learning Hongguang Zhang Hongdong Li Piotr Koniusz 13 33 0 15 Jan 2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning Peyman Bateni Jarred Barber Raghav Goyal Vaden Masrani Jan-Willem van de Meent Leonid Sigal Frank Wood BDL VLM 50 9 0 13 Jan 2022
MetaDance: Few-shot Dancing Video Retargeting via Temporal-aware Meta-learning Yuying Ge Yibing Song Ruimao Zhang Ping Luo VGen DiffM 25 0 0 13 Jan 2022
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning A. Zhmoginov Mark Sandler Max Vladymyrov ViT 33 68 0 11 Jan 2022
Semantics-driven Attentive Few-shot Learning over Clean and Noisy Samples Orhun Bugra Baran Ramazan Gokberk Cinbics 27 4 0 09 Jan 2022
A Unified Framework for Attention-Based Few-Shot Object Detection Pierre Le Jeune Anissa Zergaïnoh-Mokraoui ObjD 38 2 0 06 Jan 2022
Discrete and continuous representations and processing in deep learning: Looking forward Ruben Cartuyvels Graham Spinks Marie-Francine Moens OCL 33 20 0 04 Jan 2022
On the Role of Neural Collapse in Transfer Learning Tomer Galanti András Gyorgy Marcus Hutter SSL 21 88 0 30 Dec 2021
Feature-context driven Federated Meta-Learning for Rare Disease Prediction Bingyang Chen Tao Chen Xingjie Zeng Weishan Zhang Qinghua Lu Zhaoxiang Hou Jiehan Zhou A. Helal FedML 32 1 0 29 Dec 2021
Associative Adversarial Learning Based on Selective Attack Runqi Wang Xiaoyue Duan Baochang Zhang Shenjun Xue Wentao Zhu David Doermann G. Guo AAML 34 0 0 28 Dec 2021
MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios Xiaofeng Pan Ming Li Jing Zhang Keren Yu Luping Wang Hong Wen Chengjun Mao Bo Cao 10 8 0 27 Dec 2021
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains Yuan Cheng Ci-Siang Lin Fu-En Yang Yu-Chiang Frank Wang 32 1 0 27 Dec 2021
Learning Aligned Cross-Modal Representation for Generalized Zero-Shot Classification Zhiyu Fang Xiaobin Zhu Chun Yang Zheng Han Jingyan Qin Xu-Cheng Yin 22 17 0 24 Dec 2021
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve Lei Wang Jun Liu Piotr Koniusz 42 20 0 23 Dec 2021
Dual Path Structural Contrastive Embeddings for Learning Novel Objects Bingbin Li E. Cui Yanan Li Donghui Wang Weng Kee Wong 19 1 0 23 Dec 2021
Few-Shot Object Detection: A Comprehensive Survey Mona Köhler M. Eisenbach H. Groß ObjD 32 59 0 22 Dec 2021
Translational Concept Embedding for Generalized Compositional Zero-shot Learning He Huang Wei Tang Jiawei Zhang Philip S. Yu CoGe 26 2 0 20 Dec 2021
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks G. Han Yicheng He Shiyuan Huang Jiawei Ma Shih-Fu Chang ObjD 38 103 0 17 Dec 2021
Semantic-Based Few-Shot Learning by Interactive Psychometric Testing Lu Yin Vlado Menkovski Yulong Pei Mykola Pechenizkiy 27 1 0 16 Dec 2021
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 43 21 0 15 Dec 2021
Exploring Category-correlated Feature for Few-shot Image Classification Jing Xu Xinglin Pan Xu Luo Wenjie Pei Zenglin Xu 27 4 0 14 Dec 2021
Hybrid Graph Neural Networks for Few-Shot Learning Tianyuan Yu Sen He Yi-Zhe Song Tao Xiang 28 60 0 13 Dec 2021
Shaping Visual Representations with Attributes for Few-Shot Recognition Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 34 7 0 13 Dec 2021
Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species Changsheng Lu Piotr Koniusz 35 33 0 12 Dec 2021
Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF Su Zhu Lu Chen Ruisheng Cao Zhi Chen Qingliang Miao Kai Yu 24 2 0 09 Dec 2021
Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning Rongkai Ma Pengfei Fang Gilat Avraham Yan Zuo Tianyu Zhu Tom Drummond Mehrtash Harandi VLM 16 13 0 07 Dec 2021
Label Hallucination for Few-Shot Classification Yiren Jian Lorenzo Torresani 22 40 0 06 Dec 2021
Curriculum Meta-Learning for Few-shot Classification Emmanouil Stergiadis Priyanka Agrawal Oliver Squire VLM 13 5 0 06 Dec 2021
MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples Yuying Ge Ruimao Zhang Ping Luo 20 7 0 06 Dec 2021
Stage Conscious Attention Network (SCAN) : A Demonstration-Conditioned Policy for Few-Shot Imitation Jia-Fong Yeh Chi-Ming Chung Hung-Ting Su Yi-Ting Chen Winston H. Hsu 35 3 0 04 Dec 2021
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples Sen Jia Shuguo Jiang Zhijie Lin Nanying Li Meng Xu Shiqi Yu VLM 40 275 0 03 Dec 2021
AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration Bowen Li Chen Wang Pranay Reddy Seungchan Kim Sebastian Scherer ViT 15 25 0 03 Dec 2021
Adaptive Poincaré Point to Set Distance for Few-Shot Classification Rongkai Ma Pengfei Fang Tom Drummond Mehrtash Harandi 21 45 0 03 Dec 2021
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention Kun Yan Chenbin Zhang Jun Hou Ping Wang Zied Bouraoui Shoaib Jameel Steven Schockaert 16 19 0 02 Dec 2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning Shuai Shao Lei Xing Rui Xu Weifeng Liu Yanjiang Wang Baodi Liu 48 30 0 01 Dec 2021
Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning Zhe Liu Yun Yvonna Li L. Yao Julian McAuley Sam Dixon 24 11 0 01 Dec 2021