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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
Generalized Adaptation for Few-Shot Learning Liang Song Jinlu Liu Yongqiang Qin VLM 71 8 0 25 Nov 2019
Prototype Rectification for Few-Shot Learning Jinlu Liu Liang Song Yongqiang Qin 109 250 0 25 Nov 2019
Differentiable Meta-learning Model for Few-shot Semantic Segmentation Pinzhuo Tian Zhangkai Wu Lei Qi Lei Wang Yinghuan Shi Yang Gao VLM 76 83 0 23 Nov 2019
Instance Cross Entropy for Deep Metric Learning Xinshao Wang Elyor Kodirov Yang Hua N. Robertson 56 5 0 22 Nov 2019
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels Lu Jiang Di Huang Mason Liu Weilong Yang NoLa 51 3 0 21 Nov 2019
Knowledge Graph Transfer Network for Few-Shot Recognition Riquan Chen Tianshui Chen X. Hui Hefeng Wu Guanbin Li Liang Lin SLR 49 63 0 21 Nov 2019
Investigating Active Learning and Meta-Learning for Iterative Peptide Design Rainier Barrett A. White 76 2 0 20 Nov 2019
Learning to Control Latent Representations for Few-Shot Learning of Named Entities Omar U. Florez Erik T. Mueller BDL 96 5 0 19 Nov 2019
Convex Formulation of Overparameterized Deep Neural Networks Cong Fang Yihong Gu Weizhong Zhang Tong Zhang 83 28 0 18 Nov 2019
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features Tao Gui Lizhi Qing Qi Zhang Jiacheng Ye Hang Yan Zichu Fei Xuanjing Huang 42 2 0 18 Nov 2019
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation Juncheng Li Xinze Wang Siliang Tang Haizhou Shi Leilei Gan Yueting Zhuang William Yang Wang SSL 99 70 0 18 Nov 2019
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition Satoshi Tsutsui Yanwei Fu David J. Crandall 120 38 0 17 Nov 2019
Defensive Few-shot Learning Wenbin Li Lei Wang Xingxing Zhang Lei Qi Jing Huo Yang Gao Jiebo Luo 83 7 0 16 Nov 2019
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources Qianhui Wu Zijia Lin Guoxin Wang Hui Chen Börje F. Karlsson Biqing Huang Chin-Yew Lin 96 68 0 14 Nov 2019
Self-Supervised Learning For Few-Shot Image Classification Da Chen YueFeng Chen Yuhong Li Feng Mao Yuan He Hui Xue SSL 75 111 0 14 Nov 2019
Experience-Embedded Visual Foresight Yen-Chen Lin Maria Bauzá Phillip Isola 115 36 0 12 Nov 2019
Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling Yadan Luo Zi Huang Zheng Zhang Ziwei Wang Mahsa Baktashmotlagh Yang Yang CLL BDL 63 25 0 12 Nov 2019
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning Yan Wang Wei-Lun Chao Kilian Q. Weinberger Laurens van der Maaten VLM 89 343 0 12 Nov 2019
Making Good on LSTMs' Unfulfilled Promise Daniel Philps Artur Garcez Tillman Weyde AI4TS 71 2 0 11 Nov 2019
Data Efficient Direct Speech-to-Text Translation with Modality Agnostic Meta-Learning Sathish Indurthi HyoJung Han Nikhil Kumar Lakumarapu Beomseok Lee Insoo Chung Sangha Kim Chanwoo Kim 81 26 0 11 Nov 2019
Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks Trapit Bansal Rishikesh Jha Andrew McCallum SSL 106 121 0 10 Nov 2019
Penalty Method for Inversion-Free Deep Bilevel Optimization Akshay Mehra Jihun Hamm 143 46 0 08 Nov 2019
Learning One-Shot Imitation from Humans without Humans Alessandro Bonardi Stephen James Andrew J. Davison 77 80 0 04 Nov 2019
Metric Learning for Dynamic Text Classification Jeremy Wohlwend Ethan R. Elenberg S. Altschul Shawn Henry Tao Lei 63 11 0 04 Nov 2019
Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning Ignasi Mas J. Morros Verónica Vilaplana 40 2 0 01 Nov 2019
Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks Yiping Song Zequn Liu Wei Bi Rui Yan Ming Zhang 59 35 0 31 Oct 2019
Hierarchical Expert Networks for Meta-Learning Heinke Hihn Daniel A. Braun 100 4 0 31 Oct 2019
Metric Learning with Background Noise Class for Few-shot Detection of Rare Sound Events Kazuki Shimada Yuichiro Koyama A. Inoue 133 23 0 30 Oct 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation Risto Vuorio Shao-Hua Sun Hexiang Hu Joseph J. Lim 101 218 0 30 Oct 2019
When MAML Can Adapt Fast and How to Assist When It Cannot Sébastien M. R. Arnold Shariq Iqbal Fei Sha 42 5 0 30 Oct 2019
Deep Weakly-supervised Anomaly Detection Guansong Pang Chunhua Shen Huidong Jin Anton van den Hengel 89 94 0 30 Oct 2019
Neural Similarity Learning Weiyang Liu Zhen Liu James M. Rehg Le Song 94 30 0 28 Oct 2019
Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data Wanyu Lin Zhaolin Gao Baochun Li 32 1 0 28 Oct 2019
HIDRA: Head Initialization across Dynamic targets for Robust Architectures Rafael Rêgo Drumond L. Brinkmeyer Josif Grabocka Lars Schmidt-Thieme 77 4 0 28 Oct 2019
Hierarchical Clustering with Hard-batch Triplet Loss for Person Re-identification Kaiwei Zeng 121 257 0 27 Oct 2019
Meta Learning for End-to-End Low-Resource Speech Recognition Jui-Yang Hsu Yuan-Jui Chen Hung-yi Lee 71 105 0 26 Oct 2019
Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection Shumin Deng Ningyu Zhang Jiaojian Kang Yichi Zhang Wei Zhang Huajun Chen 96 135 0 25 Oct 2019
No-regret Non-convex Online Meta-Learning Zhenxun Zhuang Yunlong Wang Kezi Yu Songtao Lu CLL OffRL 29 15 0 22 Oct 2019
Improving Siamese Networks for One Shot Learning using Kernel Based Activation functions Shruti Jadon A. Srinivasan 62 17 0 22 Oct 2019
Zero-Shot Recognition via Optimal Transport Wenlin Wang Hongteng Xu Guoyin Wang Wenqi Wang Lawrence Carin OT 33 2 0 20 Oct 2019
Texture Bias Of CNNs Limits Few-Shot Classification Performance Sam Ringer Will Williams T. Ash R. Francis D. Macleod SSL 51 12 0 18 Oct 2019
On Warm-Starting Neural Network Training Jordan T. Ash Ryan P. Adams AI4CE 58 21 0 18 Oct 2019
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 280 647 0 17 Oct 2019
Model-Agnostic Meta-Learning using Runge-Kutta Methods Daniel Jiwoong Im Yibo Jiang Nakul Verma 41 4 0 16 Oct 2019
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification Tianyu Gao Xu Han Hao Zhu Zhiyuan Liu Peng Li Maosong Sun Jie Zhou 267 247 0 16 Oct 2019
Learning Generalisable Omni-Scale Representations for Person Re-Identification Kaiyang Zhou Yongxin Yang Andrea Cavallaro Tao Xiang 119 226 0 15 Oct 2019
Self-supervised Label Augmentation via Input Transformations Hankook Lee Sung Ju Hwang Jinwoo Shin SSL 68 63 0 14 Oct 2019
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels Massimiliano Patacchiola Jack Turner Elliot J. Crowley Michael F. P. O'Boyle Amos Storkey BDL 84 19 0 11 Oct 2019
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification Varun Kumar Hadrien Glaude Cyprien de Lichy William Campbell 82 85 0 09 Oct 2019
When Does Self-supervision Improve Few-shot Learning? Jong-Chyi Su Subhransu Maji B. Hariharan 98 171 0 08 Oct 2019