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
Mutual-Information Based Few-Shot Classification Malik Boudiaf Imtiaz Masud Ziko Jérôme Rony Jose Dolz Ismail Ben Ayed Pablo Piantanida VLM 32 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 27 0 0 21 Jun 2021
Trainable Class Prototypes for Few-Shot Learning Jianyi Li Guizhong Liu VLM 22 2 0 21 Jun 2021
Task Attended Meta-Learning for Few-Shot Learning Aroof Aimen Sahil Sidheekh N. C. Krishnan 21 4 0 20 Jun 2021
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization Ondrej Bohdal Yongxin Yang Timothy M. Hospedales 34 20 0 19 Jun 2021
Episode Adaptive Embedding Networks for Few-shot Learning Fangbing Liu Qing Wang 24 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 22 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 33 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 18 6 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 30 84 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 25 8 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 31 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 38 20 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 44 24 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 24 47 0 10 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 45 22 0 09 Jun 2021
Attentional Meta-learners for Few-shot Polythetic Classification Ben Day Ramón Viñas Torné Nikola Simidjievski Pietro Lio 20 0 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 48 280 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 34 36 0 08 Jun 2021
Few-Shot Action Localization without Knowing Boundaries Tingting Xie Christos Tzelepis Fan Fu Ioannis Patras 11 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 33 9 0 05 Jun 2021
Meta-Learning with Fewer Tasks through Task Interpolation Huaxiu Yao Linjun Zhang Chelsea Finn 49 54 0 04 Jun 2021
Few-Shot Segmentation via Cycle-Consistent Transformer Gengwei Zhang Guoliang Kang Yi Yang Yunchao Wei ViT 19 179 0 04 Jun 2021
Personalizing Pre-trained Models Mina Khan P. Srivatsa Advait Rane Shriram Chenniappa A. Hazariwala Pattie Maes VLM 55 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 31 2 0 02 Jun 2021
Few-Shot Partial-Label Learning Yunfeng Zhao Guoxian Yu Lei Liu Zhongmin Yan Li-zhen Cui C. Domeniconi 17 4 0 02 Jun 2021
Prior-Enhanced Few-Shot Segmentation with Meta-Prototypes Jian-Wei Zhang Lei Lv Yawei Luo H. Feng Yi Yang Wei Chen VLM 23 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 27 9 0 01 Jun 2021
Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation Binghao Liu Yao Ding Jianbin Jiao Xiangyang Ji QiXiang Ye 29 47 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 31 49 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 13 39 0 29 May 2021
One-shot Learning with Absolute Generalization Hao Su 28 0 0 28 May 2021
ProtAugment: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning Thomas Dopierre Christophe Gravier Wilfried Logerais 22 32 0 27 May 2021
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift Etienne Bennequin Victor Bouvier Myriam Tami Antoine Toubhans C´eline Hudelot 24 12 0 25 May 2021
Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning Kun Yan Zied Bouraoui Ping Wang Shoaib Jameel Steven Schockaert 22 21 0 21 May 2021
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection Shirong Shen Tongtong Wu Guilin Qi Yuan-Fang Li Gholamreza Haffari Sheng Bi 16 40 0 20 May 2021
Generalized Few-Shot Object Detection without Forgetting Zhibo Fan Yuchen Ma Zeming Li Jian Sun VLM ObjD 37 168 0 20 May 2021
Multiple Meta-model Quantifying for Medical Visual Question Answering Tuong Khanh Long Do Binh X. Nguyen Erman Tjiputra Minh-Ngoc Tran Quang-Dieu Tran A. Nguyen 38 99 0 19 May 2021
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments Xiaoxu Li Xiaochen Yang Zhanyu Ma Jing-Hao Xue VLM 43 117 0 17 May 2021
Livewired Neural Networks: Making Neurons That Fire Together Wire Together Thomas Schumacher 35 4 0 17 May 2021
HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities Jiayi Chen Aidong Zhang 22 15 0 17 May 2021
Visual analogy: Deep learning versus compositional models Nicholas Ichien Qing Liu Shuhao Fu K. Holyoak Alan Yuille Hongjing Lu CoGe 30 20 0 14 May 2021
Learning a Universal Template for Few-shot Dataset Generalization Eleni Triantafillou Hugo Larochelle R. Zemel Vincent Dumoulin 32 92 0 14 May 2021
Ensemble Making Few-Shot Learning Stronger Qing Lin Yongbin Liu Wen Wen Z. Tao ViT 19 12 0 12 May 2021
Few-Shot Learning by Integrating Spatial and Frequency Representation Xiangyu Chen Guanghui Wang 42 27 0 11 May 2021
Incremental Few-Shot Instance Segmentation Dan Andrei Ganea B. Boom R. Poppe CLL 18 68 0 11 May 2021
Learning Implicit Temporal Alignment for Few-shot Video Classification Songyang Zhang Jiale Zhou Xuming He AI4TS 46 43 0 11 May 2021
MetaKernel: Learning Variational Random Features with Limited Labels Yingjun Du Haoliang Sun Xiantong Zhen Jun Xu Yilong Yin Ling Shao Cees G. M. Snoek VLM BDL 15 5 0 08 May 2021
Diffusion Mechanism in Residual Neural Network: Theory and Applications Tangjun Wang Zehao Dou Chenglong Bao Zuoqiang Shi DiffM 22 7 0 07 May 2021
Effectively Leveraging Attributes for Visual Similarity Samarth Mishra Zhongping Zhang Yuan-Chung Shen Ranjitha Kumar Venkatesh Saligrama Bryan A. Plummer 13 10 0 04 May 2021