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Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 3,162 papers shown

Title
Few-shot Conformal Prediction with Auxiliary Tasks Adam Fisch Tal Schuster Tommi Jaakkola Regina Barzilay 375 56 0 17 Feb 2021
Robust Domain-Free Domain Generalization with Class-aware Alignment Wenyu Zhang Mohamed Ragab Ramón Sagarna OOD 85 9 0 17 Feb 2021
Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining Swapnil Bhosale Rupayan Chakraborty Sunil Kumar Kopparapu 22 4 0 16 Feb 2021
A General Descent Aggregation Framework for Gradient-based Bi-level Optimization Risheng Liu Pan Mu Xiaoming Yuan Shangzhi Zeng Jin Zhang AI4CE 131 36 0 16 Feb 2021
Few-Shot Graph Learning for Molecular Property Prediction Zhichun Guo Chuxu Zhang Wenhao Yu John E. Herr Olaf Wiest Meng Jiang Nitesh Chawla AI4CE 177 176 0 16 Feb 2021
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning Idan Achituve Aviv Navon Yochai Yemini Gal Chechik Ethan Fetaya GP 64 34 0 15 Feb 2021
One-shot learning for the long term: consolidation with an artificial hippocampal algorithm Gideon Kowadlo Abdelrahman Ahmed D. Rawlinson CLL 32 2 0 15 Feb 2021
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum Prashant Khanduri Siliang Zeng Mingyi Hong Hoi-To Wai Zhaoran Wang Zhuoran Yang 92 132 0 15 Feb 2021
Large-Scale Meta-Learning with Continual Trajectory Shifting Jaewoong Shin Haebeom Lee Boqing Gong Sung Ju Hwang 47 16 0 14 Feb 2021
Multi-Objective Meta Learning Feiyang Ye Baijiong Lin Zhixiong Yue Pengxin Guo Qiao Xiao Yu Zhang 96 49 0 14 Feb 2021
Model-Agnostic Graph Regularization for Few-Shot Learning Ethan Shen Maria Brbic Nicholas Monath Jiaqi Zhai Manzil Zaheer J. Leskovec 60 3 0 14 Feb 2021
Efficient Conditional GAN Transfer with Knowledge Propagation across Classes Mohamad Shahbazi Zhiwu Huang D. Paudel Ajad Chhatkuli Luc Van Gool 83 28 0 12 Feb 2021
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability Alec Farid Anirudha Majumdar 81 36 0 12 Feb 2021
COVID-19 detection from scarce chest x-ray image data using few-shot deep learning approach Shruti Jadon 82 40 0 11 Feb 2021
Freudian and Newtonian Recurrent Cell for Sequential Recommendation Hoyeop Lee Jinbae Im Chang Ouk Kim Sehee Chung 21 0 0 11 Feb 2021
Application of Yolo on Mask Detection Task Ren Liu Ziang Ren 65 35 0 10 Feb 2021
Meta-Learning for Koopman Spectral Analysis with Short Time-series Tomoharu Iwata Yoshinobu Kawahara AI4TS 57 0 0 09 Feb 2021
End-to-end Generative Zero-shot Learning via Few-shot Learning Georgios Chochlakis Efthymios Georgiou Alexandros Potamianos VLM 38 1 0 08 Feb 2021
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning Zhiqiang Shen Zechun Liu Jie Qin Marios Savvides Kwang-Ting Cheng CLL 87 160 0 08 Feb 2021
Meta-Learning with Neural Tangent Kernels Yufan Zhou Zhenyi Wang Jiayi Xian Changyou Chen Jinhui Xu 62 20 0 07 Feb 2021
PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior Tianyu Liu Jie Lu Zheng Yan Guangquan Zhang 56 14 0 07 Feb 2021
Sill-Net: Feature Augmentation with Separated Illumination Representation Hanwang Zhang Zhong Cao Ziang Yan Changshui Zhang 112 26 0 06 Feb 2021
Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs Dora Jambor Komal K. Teru Joelle Pineau William L. Hamilton 72 9 0 05 Feb 2021
Hyperspherical embedding for novel class classification R. S. Pereira Alexis Joly P. Valduriez Fábio Porto 23 2 0 05 Feb 2021
Instance-based learning using the Half-Space Proximal Graph A. Talamantes Edgar Chávez 21 4 0 04 Feb 2021
A Computational Framework for Slang Generation Zhewei Sun R. Zemel Yang Xu 46 21 0 03 Feb 2021
Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation R. Yamashita J. Long Snikitha Banda Jeanne Shen D. Rubin OOD MedIm 70 51 0 02 Feb 2021
Neural Data Augmentation via Example Extrapolation Kenton Lee Kelvin Guu Luheng He Timothy Dozat Hyung Won Chung 76 72 0 02 Feb 2021
Meta-learning with negative learning rates A. Bernacchia 70 17 0 01 Feb 2021
Few-shot Image Classification with Multi-Facet Prototypes Kun Yan Zied Bouraoui Ping Wang Shoaib Jameel Steven Schockaert 45 4 0 01 Feb 2021
On Data Efficiency of Meta-learning Maruan Al-Shedivat Liam Li Eric Xing Ameet Talwalkar FedML 70 25 0 30 Jan 2021
Few-Shot Learning for Road Object Detection Anay Majee Kshitij Agrawal A. Subramanian 117 21 0 29 Jan 2021
A Neural Few-Shot Text Classification Reality Check Thomas Dopierre Christophe Gravier Wilfried Logerais VLM 61 19 0 28 Jan 2021
CORL: Compositional Representation Learning for Few-Shot Classification Ju He Adam Kortylewski Alan Yuille OCL 64 10 0 28 Jan 2021
ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification Manoj Kumar Varun Kumar Hadrien Glaude Cyprien delichy Aman Alok Rahul Gupta VLM 80 18 0 28 Jan 2021
Combat Data Shift in Few-shot Learning with Knowledge Graph Yongchun Zhu Fuzhen Zhuang Xiangliang Zhang Zhiyuan Qi Zhiping Shi Juan Cao Qing He OOD 75 4 0 27 Jan 2021
Edge-Labeling based Directed Gated Graph Network for Few-shot Learning Peixiao Zheng Xin Guo Lin Qi 39 1 0 27 Jan 2021
Similarity of Classification Tasks Cuong C. Nguyen Thanh-Toan Do G. Carneiro 79 7 0 27 Jan 2021
Supervised Momentum Contrastive Learning for Few-Shot Classification Orchid Majumder Avinash Ravichandran Subhransu Maji Alessandro Achille M. Polito Stefano Soatto SSL 100 12 0 26 Jan 2021
Few-Shot Semantic Parsing for New Predicates Zhuang Li Zhuang Li Shuo Huang Gholamreza Haffari NAI 76 9 0 26 Jan 2021
Self Sparse Generative Adversarial Networks W. Qian Yang Xu W. Zuo Hui Li GAN 39 5 0 26 Jan 2021
Online Continual Learning in Image Classification: An Empirical Survey Zheda Mai Ruiwen Li Jihwan Jeong David Quispe Hyunwoo J. Kim Scott Sanner VLM CLL 140 422 0 25 Jan 2021
A Survey on Active Deep Learning: From Model-driven to Data-driven Peng Liu Lizhe Wang Guojin He Lei Zhao 85 14 0 25 Jan 2021
TLRM: Task-level Relation Module for GNN-based Few-Shot Learning Yurong Guo Zhanyu Ma Xiaoxu Li Yuan Dong 60 4 0 25 Jan 2021
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks N. Simard Guillaume Lagrange SSL 39 5 0 24 Jan 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao Nanyi Fei Guangzhen Liu Zhiwu Lu Tao Xiang Songfang Huang 104 37 0 23 Jan 2021
Stress Testing of Meta-learning Approaches for Few-shot Learning Aroof Aimen Sahil Sidheekh Vineet Madan N. C. Krishnan 32 7 0 21 Jan 2021
Progressive Co-Attention Network for Fine-grained Visual Classification Tian Zhang Dongliang Chang Zhanyu Ma Jun Guo 101 42 0 21 Jan 2021
Few-shot Action Recognition with Prototype-centered Attentive Learning Xiatian Zhu Antoine Toisoul Juan-Manuel Prez-Ra Li Zhang Brais Martínez Tao Xiang 91 53 0 20 Jan 2021
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias Stefan Stojanov Anh Thai James M. Rehg 3DPC 71 45 0 18 Jan 2021