Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 1,052 papers shown

Title
Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner Eugene Lee E. Chen Chen-Yi Lee 16 159 0 14 Jul 2020
Submodular Meta-Learning Arman Adibi Aryan Mokhtari Hamed Hassani CLL 21 5 0 11 Jul 2020
Meta-Learning Requires Meta-Augmentation Janarthanan Rajendran A. Irpan Eric Jang 21 93 0 10 Jul 2020
Generalized Few-Shot Video Classification with Video Retrieval and Feature Generation Yongqin Xian Bruno Korbar Matthijs Douze Lorenzo Torresani Bernt Schiele Zeynep Akata VGen 18 18 0 09 Jul 2020
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs Meng Qu Tianyu Gao Louis-Pascal Xhonneux Jian Tang BDL 18 106 0 05 Jul 2020
Drug discovery with explainable artificial intelligence José Jiménez-Luna F. Grisoni G. Schneider 30 625 0 01 Jul 2020
Classification of cancer pathology reports: a large-scale comparative study S. Martina L. Ventura P. Frasconi 19 11 0 29 Jun 2020
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning Xisen Jin Arka Sadhu Junyi Du Xiang Ren CLL KELM BDL 20 95 0 27 Jun 2020
Graph Prototypical Networks for Few-shot Learning on Attributed Networks Kaize Ding Jianling Wang Jundong Li Kai Shu Chenghao Liu Huan Liu 17 156 0 23 Jun 2020
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation Ali Hatamizadeh SSeg 29 3 0 23 Jun 2020
Auxiliary Learning by Implicit Differentiation Aviv Navon Idan Achituve Haggai Maron Gal Chechik Ethan Fetaya 23 59 0 22 Jun 2020
Few-shot 3D Point Cloud Semantic Segmentation Na Zhao Tat-Seng Chua Gim Hee Lee 3DPC 32 105 0 22 Jun 2020
Generalized Zero and Few-Shot Transfer for Facial Forgery Detection Shivangi Aneja Matthias Nießner 21 42 0 21 Jun 2020
Gradient-EM Bayesian Meta-learning Yayi Zou Xiaoqi Lu BDL 27 16 0 21 Jun 2020
A Universal Representation Transformer Layer for Few-Shot Image Classification Lu Liu William L. Hamilton Guodong Long Jing Jiang Hugo Larochelle ViT 29 125 0 21 Jun 2020
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification Carlos Medina A. Devos Matthias Grossglauser SSL 26 50 0 19 Jun 2020
Extensively Matching for Few-shot Learning Event Detection Viet Dac Lai Franck Dernoncourt Thien Huu Nguyen 18 60 0 17 Jun 2020
Self-supervised Knowledge Distillation for Few-shot Learning Jathushan Rajasegaran Salman Khan Munawar Hayat F. Khan M. Shah SSL 31 91 0 17 Jun 2020
Learning to Learn with Feedback and Local Plasticity Jack W Lindsey Ashok Litwin-Kumar CLL 26 31 0 16 Jun 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters Kaiyi Ji J. Lee Yingbin Liang H. Vincent Poor 20 74 0 16 Jun 2020
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning Sungyong Seo Chuizheng Meng Sirisha Rambhatla Yan Liu AI4CE 16 11 0 15 Jun 2020
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 34 161 0 14 Jun 2020
Few-shot Object Detection on Remote Sensing Images J. Deng Xiang Li Yi Fang ObjD 13 131 0 14 Jun 2020
Task-similarity Aware Meta-learning through Nonparametric Kernel Regression Arun Venkitaraman Anders Hansson B. Wahlberg 25 8 0 12 Jun 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 19 102 0 12 Jun 2020
Learning to Learn Kernels with Variational Random Features Xiantong Zhen Hao Sun Yingjun Du Jun Xu Yilong Yin Ling Shao Cees G. M. Snoek DRL 27 34 0 11 Jun 2020
Dataset Condensation with Gradient Matching Bo-Lu Zhao Konda Reddy Mopuri Hakan Bilen DD 36 472 0 10 Jun 2020
Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning Andrei Boiarov O. Granichin O. Granichina 42 6 0 09 Jun 2020
Beyond Triplet Loss: Meta Prototypical N-tuple Loss for Person Re-identification Zhizheng Zhang Cuiling Lan Wenjun Zeng Zhibo Chen Shih-Fu Chang 30 12 0 08 Jun 2020
Multi-view Contrastive Learning for Online Knowledge Distillation Chuanguang Yang Zhulin An Yongjun Xu 14 23 0 07 Jun 2020
Distributionally Robust Weighted $k$ -Nearest Neighbors Shixiang Zhu Liyan Xie Minghe Zhang Rui Gao Yao Xie OOD 21 7 0 07 Jun 2020
UFO-BLO: Unbiased First-Order Bilevel Optimization Valerii Likhosherstov Xingyou Song K. Choromanski Jared Davis Adrian Weller 32 7 0 05 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 17 40,023 0 28 May 2020
Boosting Few-Shot Learning With Adaptive Margin Loss Aoxue Li Weiran Huang Xu Lan Jiashi Feng Zhenguo Li Liwei Wang 19 192 0 28 May 2020
Few-Shot Open-Set Recognition using Meta-Learning Bo Liu Hao Kang Haoxiang Li G. Hua Nuno Vasconcelos BDL EDL 22 89 0 27 May 2020
SSM-Net for Plants Disease Identification in Low Data Regime Shruti Jadon 23 21 0 27 May 2020
Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors B. Haney Alexander Lavin 11 4 0 23 May 2020
Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption Hongyin Luo Shang-Wen Li James R. Glass BDL MedIm 21 9 0 19 May 2020
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning Jia-Fong Yeh Hsin-Ying Lee Bing-Chen Tsai Yi-Rong Chen Ping-Chia Huang Winston H. Hsu 21 14 0 19 May 2020
One-Shot Recognition of Manufacturing Defects in Steel Surfaces Aditya M. Deshpande A. Minai Manish Kumar 16 58 0 12 May 2020
Memory-Augmented Relation Network for Few-Shot Learning J. He Richang Hong Xueliang Liu Mingliang Xu Zhengjun Zha Meng Wang 19 47 0 09 May 2020
MorphoCluster: Efficient Annotation of Plankton images by Clustering Simon-Martin Schroder R. Kiko Reinhard Koch 37 46 0 04 May 2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation Nithin Holla Pushkar Mishra H. Yannakoudakis Ekaterina Shutova 16 28 0 29 Apr 2020
Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review Mahdi Rezaei Mahsa Shahidi 24 53 0 29 Apr 2020
A Perspective on Deep Learning for Molecular Modeling and Simulations Jun Zhang Yao-Kun Lei Zhen Zhang Junhan Chang Maodong Li Xu Han Lijiang Yang Yuqing Yang Y. Gao AI4CE 29 8 0 25 Apr 2020
Few-Shot Class-Incremental Learning Xiaoyu Tao Xiaopeng Hong Xinyuan Chang Songlin Dong Xing Wei Yihong Gong CLL 30 403 0 23 Apr 2020
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification Wei-wei Zhu Haofu Liao Wenbin Li Weijian Li Jiebo Luo 31 17 0 21 Apr 2020
OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in An Open World Zhun Zhong Linchao Zhu Zhiming Luo Shaozi Li Yi Yang N. Sebe VLM CLL 30 113 0 12 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 46 1,928 0 11 Apr 2020
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation Da Li Timothy M. Hospedales 22 102 0 09 Apr 2020