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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
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 121 89 0 16 Jul 2021
Multi-Level Contrastive Learning for Few-Shot Problems Qing Chen Jian Zhang 82 5 0 15 Jul 2021
A Channel Coding Benchmark for Meta-Learning Rui Li Ondrej Bohdal Rajesh K. Mishra Hyeji Kim Da Li Nicholas D. Lane Timothy M. Hospedales 84 9 0 15 Jul 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Zhen junzha Meng Wang 123 1 0 12 Jul 2021
Zero-Shot Compositional Concept Learning Guangyue Xu Parisa Kordjamshidi J. Chai CoGe 139 19 0 12 Jul 2021
TA2N: Two-Stage Action Alignment Network for Few-shot Action Recognition Shuyuan Li Huabin Liu Rui Qian Yuxi Li John See Mengjuan Fei Xiaoyuan Yu W. Lin 112 79 0 10 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 77 6 0 07 Jul 2021
Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes Xiang Li Lingjing Wang Yi Fang 3DPC 20 0 0 07 Jul 2021
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction M. Mendez-Ruiz Jorge Gonzalez-Zapata Gilberto Ochoa-Ruiz Andres Mendez-Vazquez 68 1 0 06 Jul 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks Jun Shu Deyu Meng Zongben Xu 79 8 0 06 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 82 1 0 05 Jul 2021
Few-Shot Learning with a Strong Teacher Han-Jia Ye Lu Ming De-Chuan Zhan Wei-Lun Chao 99 53 0 01 Jul 2021
How to Train Your MAML to Excel in Few-Shot Classification Han-Jia Ye Wei-Lun Chao 109 50 0 30 Jun 2021
Few-Shot Electronic Health Record Coding through Graph Contrastive Learning Shanshan Wang Pengjie Ren Zhumin Chen Zhaochun Ren Huasheng Liang Qiang Yan Evangelos Kanoulas Maarten de Rijke 52 5 0 29 Jun 2021
MAML is a Noisy Contrastive Learner in Classification Chia-Hsiang Kao Wei-Chen Chiu Pin-Yu Chen 37 17 0 29 Jun 2021
High-dimensional separability for one- and few-shot learning Alexander N. Gorban Bogdan Grechuk Evgeny M. Mirkes Sergey V. Stasenko I. Tyukin DRL 87 23 0 28 Jun 2021
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning Yi Zhang Sheng Huang Xiao-song Peng Dan Yang 74 9 0 28 Jun 2021
Interpreting Depression From Question-wise Long-term Video Recording of SDS Evaluation Wanqing Xie Lizhong Liang Yao Lu Chen Wang Jihong Shen Hui Luo Xiaofeng Liu 69 21 0 25 Jun 2021
Mutual-Information Based Few-Shot Classification Malik Boudiaf Imtiaz Masud Ziko Jérôme Rony Jose Dolz Ismail Ben Ayed Pablo Piantanida VLM 76 2 0 23 Jun 2021
TNT: Text-Conditioned Network with Transductive Inference for Few-Shot Video Classification Andrés Villa Juan-Manuel Perez-Rua Victor Escorcia Vladimir Araujo Juan Carlos Niebles Alvaro Soto 62 0 0 21 Jun 2021
Trainable Class Prototypes for Few-Shot Learning Jianyi Li Guizhong Liu VLM 41 2 0 21 Jun 2021
Task Attended Meta-Learning for Few-Shot Learning Aroof Aimen Sahil Sidheekh N. C. Krishnan 31 4 0 20 Jun 2021
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization Ondrej Bohdal Yongxin Yang Timothy M. Hospedales 95 20 0 19 Jun 2021
Episode Adaptive Embedding Networks for Few-shot Learning Fangbing Liu Qing Wang 36 0 0 17 Jun 2021
Transductive Few-Shot Learning: Clustering is All You Need? Imtiaz Masud Ziko Malik Boudiaf Jose Dolz Eric Granger Ismail Ben Ayed 43 3 0 16 Jun 2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning Chaofan CHEN Xiaoshan Yang Changsheng Xu Xuhui Huang Zhe Ma 79 50 0 16 Jun 2021
Contextualizing Meta-Learning via Learning to Decompose Han-Jia Ye Da-Wei Zhou Lanqing Hong Zhenguo Li Xiu-Shen Wei De-Chuan Zhan 83 7 0 15 Jun 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data Ashraful Islam Chun-Fu Chen Yikang Shen Leonid Karlinsky Rogerio Feris Richard J. Radke 133 85 0 14 Jun 2021
NDPNet: A novel non-linear data projection network for few-shot fine-grained image classification Weichuan Zhang Xuefang Liu Zhengrong Xue Yongsheng Gao Changming Sun 67 9 0 13 Jun 2021
Robust Graph Meta-learning for Weakly-supervised Few-shot Node Classification Kaize Ding Jianling Wang Jundong Li James Caverlee Huan Liu OOD OffRL 82 6 0 12 Jun 2021
Learngene: From Open-World to Your Learning Task Qiufeng Wang Xin Geng Shuxia Lin Shiyu Xia Lei Qi Ning Xu 90 23 0 12 Jun 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 98 25 0 11 Jun 2021
Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification Yang Liu Weifeng Zhang Chao Xiang Tu Zheng Deng Cai Xiaofei He FedML 123 48 0 10 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 97 23 0 09 Jun 2021
Attentional Meta-learners for Few-shot Polythetic Classification Ben Day Ramón Viñas Torné Nikola Simidjievski Pietro Lio 32 1 0 09 Jun 2021
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation Ho Kei Cheng Yu-Wing Tai Chi-Keung Tang VOS 98 287 0 09 Jun 2021
A critical look at the current train/test split in machine learning Jimin Tan Jianan Yang Sai Wu Gang Chen Jake Zhao OOD 38 39 0 08 Jun 2021
Few-Shot Action Localization without Knowing Boundaries Tingting Xie Christos Tzelepis Fan Fu Ioannis Patras 65 5 0 08 Jun 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation Yingjun Du Nithin Holla Xiantong Zhen Cees G. M. Snoek Ekaterina Shutova 78 9 0 05 Jun 2021
Meta-Learning with Fewer Tasks through Task Interpolation Huaxiu Yao Linjun Zhang Chelsea Finn 114 56 0 04 Jun 2021
Few-Shot Segmentation via Cycle-Consistent Transformer Gengwei Zhang Guoliang Kang Yi Yang Yunchao Wei ViT 107 186 0 04 Jun 2021
Personalizing Pre-trained Models Mina Khan P. Srivatsa Advait Rane Shriram Chenniappa A. Hazariwala Pattie Maes VLM 91 5 0 02 Jun 2021
One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations Henry Kvinge Scott Howland Nico Courts Lauren A. Phillips John Buckheit ... J. H. Lee Sandeep Tiwari J. Hibler Court D. Corley Nathan Oken Hodas OODD OOD 33 2 0 02 Jun 2021
Few-Shot Partial-Label Learning Yunfeng Zhao Guoxian Yu Lei Liu Zhongmin Yan Li-zhen Cui C. Domeniconi 29 4 0 02 Jun 2021
Prior-Enhanced Few-Shot Segmentation with Meta-Prototypes Jian-Wei Zhang Lei Lv Yawei Luo Hao Feng Yi Yang Wei Chen VLM 38 4 0 01 Jun 2021
Memory Wrap: a Data-Efficient and Interpretable Extension to Image Classification Models B. La Rosa Roberto Capobianco Daniele Nardi VLM 45 9 0 01 Jun 2021
Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation Binghao Liu Yao Ding Jianbin Jiao Xiangyang Ji QiXiang Ye 102 48 0 01 Jun 2021
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works A. Shoeibi Parisa Moridian Marjane Khodatars Navid Ghassemi M. Jafari ... Juan M Gorriz Javier Ramírez Abbas Khosravi S. Nahavandi U. Acharya 87 54 0 29 May 2021
Multi-Label Few-Shot Learning for Aspect Category Detection Mengting Hu Shiwan Zhao Honglei Guo Chao Xue H. Gao Tiegang Gao Renhong Cheng Zhong Su 62 40 0 29 May 2021
One-shot Learning with Absolute Generalization Hao Su 30 0 0 28 May 2021