Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 1,022 papers shown

Title
Incremental Object Detection via Meta-Learning K. J. Joseph Jathushan Rajasegaran Salman Khan F. Khan V. Balasubramanian ObjD CLL VLM 177 98 0 17 Mar 2020
Frustratingly Simple Few-Shot Object Detection Xin Wang Thomas E. Huang Trevor Darrell Joseph E. Gonzalez F. I. F. Richard Yu ObjD 95 544 0 16 Mar 2020
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention Jiyang Xie Dongliang Chang Zhanyu Ma Guoqiang Zhang Jun Guo 26 25 0 10 Mar 2020
On the Texture Bias for Few-Shot CNN Segmentation Reza Azad A. Fayjie C. Kauffmann Ismail Ben Ayed M. Pedersoli Jose Dolz SSeg 25 70 0 09 Mar 2020
Lightweight Speaker Verification for Online Identification of New Speakers with Short Segments I. Vélez C. Rascón Gibran Fuentes Pineda 19 10 0 06 Mar 2020
PAC-Bayes meta-learning with implicit task-specific posteriors Cuong C. Nguyen Thanh-Toan Do G. Carneiro BDL 36 7 0 05 Mar 2020
Learning Fast Adaptation on Cross-Accented Speech Recognition Genta Indra Winata Samuel Cahyawijaya Zihan Liu Zhaojiang Lin Andrea Madotto Peng-Tao Xu Pascale Fung 46 80 0 04 Mar 2020
Learning Representations by Predicting Bags of Visual Words Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 28 117 0 27 Feb 2020
Meta-Transfer Learning for Zero-Shot Super-Resolution Jae Woong Soh Sunwoo Cho N. Cho SupR 22 283 0 27 Feb 2020
Memory-Based Graph Networks Amir Hosein Khas Ahmadi Kaveh Hassani Parsa Moradi Leo Lee Q. Morris GNN 29 90 0 21 Feb 2020
Few-shot acoustic event detection via meta-learning Bowen Shi Ming Sun Krishna C. Puvvada Chieh-Chi Kao Spyros Matsoukas Chao Wang 20 60 0 21 Feb 2020
Using Hindsight to Anchor Past Knowledge in Continual Learning Arslan Chaudhry Albert Gordo P. Dokania Philip H. S. Torr David Lopez-Paz KELM CLL 19 233 0 19 Feb 2020
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning Kaiyi Ji Junjie Yang Yingbin Liang 12 49 0 18 Feb 2020
Exploiting the Matching Information in the Support Set for Few Shot Event Classification Viet Dac Lai Franck Dernoncourt Thien Huu Nguyen 15 40 0 13 Feb 2020
Local Nonparametric Meta-Learning Wonjoon Goo S. Niekum 32 3 0 09 Feb 2020
Meta-learning framework with applications to zero-shot time-series forecasting Boris N. Oreshkin Dmitri Carpov Nicolas Chapados Yoshua Bengio UQCV AI4TS AI4CE 39 105 0 07 Feb 2020
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis Jiechao Guan Zhiwu Lu Tao Xiang Ji-Rong Wen 11 12 0 06 Feb 2020
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning Mahesh Kumar Krishna Reddy M. Hossain Mrigank Rochan Yang Wang 20 40 0 01 Feb 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 32 386 0 23 Jan 2020
Optimized Generic Feature Learning for Few-shot Classification across Domains Tonmoy Saikia Thomas Brox Cordelia Schmid VLM 22 48 0 22 Jan 2020
Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition Wenxuan Wang Yanwei Fu Qiang Sun Tao Chen Chenjie Cao Ziqi Zheng Guoqiang Xu Han Qiu Yu-Gang Jiang Xiangyang Xue CVBM 29 14 0 17 Jan 2020
Memorizing Comprehensively to Learn Adaptively: Unsupervised Cross-Domain Person Re-ID with Multi-level Memory Xinyu Zhang Dong Gong Jiewei Cao Chunhua Shen 32 6 0 13 Jan 2020
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning Hongguang Zhang Piotr Koniusz Songlei Jian Hongdong Li Philip H. S. Torr SSL 31 59 0 12 Jan 2020
Few-shot Action Recognition with Permutation-invariant Attention Hongguang Zhang Li Zhang Xiaojuan Qi Hongdong Li Philip H. S. Torr Piotr Koniusz 19 3 0 12 Jan 2020
From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems Osvaldo Simeone Sangwoo Park Joonhyuk Kang AI4CE 28 62 0 05 Jan 2020
Diversity Transfer Network for Few-Shot Learning Mengting Chen Yuxin Fang Xinggang Wang Heng Luo Yifeng Geng Xinyu Zhang Chang Huang Wenyu Liu Bo Wang 15 69 0 31 Dec 2019
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 73 1,182 0 24 Dec 2019
Meta-Graph: Few Shot Link Prediction via Meta Learning A. Bose Ankit Jain Piero Molino William L. Hamilton 30 63 0 20 Dec 2019
Machine Unlearning Lucas Bourtoule Varun Chandrasekaran Christopher A. Choquette-Choo Hengrui Jia Adelin Travers Baiwu Zhang David Lie Nicolas Papernot MU 27 807 0 09 Dec 2019
One-Shot Object Detection with Co-Attention and Co-Excitation Ting-I Hsieh Yi-Chen Lo Hwann-Tzong Chen Tyng-Luh Liu ObjD 11 165 0 28 Nov 2019
Learning Multi-level Weight-centric Features for Few-shot Learning Min-Siong Liang Shaoli Huang Shirui Pan Biwei Huang Wei Liu 25 10 0 28 Nov 2019
Meta-Learning of Neural Architectures for Few-Shot Learning T. Elsken B. Staffler J. H. Metzen Frank Hutter 14 136 0 25 Nov 2019
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation Juncheng Li Qing Guo Siliang Tang Haizhou Shi Fei Wu Yueting Zhuang William Yang Wang SSL 40 68 0 18 Nov 2019
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition Satoshi Tsutsui Yanwei Fu David J. Crandall 16 37 0 17 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 14 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 16 108 0 14 Nov 2019
Experience-Embedded Visual Foresight Yen-Chen Lin Maria Bauzá Phillip Isola 22 35 0 12 Nov 2019
Metric Learning with Background Noise Class for Few-shot Detection of Rare Sound Events Kazuki Shimada Yuichiro Koyama A. Inoue 10 23 0 30 Oct 2019
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation Risto Vuorio Shao-Hua Sun Hexiang Hu Joseph J. Lim 30 219 0 30 Oct 2019
Neural Similarity Learning Weiyang Liu Zhen Liu James M. Rehg Le Song 27 29 0 28 Oct 2019
Hierarchical Clustering with Hard-batch Triplet Loss for Person Re-identification Kaiwei Zeng 30 255 0 27 Oct 2019
Meta Learning for End-to-End Low-Resource Speech Recognition Jui-Yang Hsu Yuan-Jui Chen Hung-yi Lee 22 103 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 31 131 0 25 Oct 2019
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 204 630 0 17 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 208 244 0 16 Oct 2019
Learning Generalisable Omni-Scale Representations for Person Re-Identification Kaiyang Zhou Yongxin Yang Andrea Cavallaro Tao Xiang 30 217 0 15 Oct 2019
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification Varun Kumar Hadrien Glaude Cyprien de Lichy William Campbell 21 83 0 09 Oct 2019
When Does Self-supervision Improve Few-shot Learning? Jong-Chyi Su Subhransu Maji B. Hariharan 19 168 0 08 Oct 2019
Graph Few-shot Learning via Knowledge Transfer Huaxiu Yao Chuxu Zhang Ying Wei Meng Jiang Suhang Wang Junzhou Huang Nitesh V. Chawla Z. Li 45 162 0 07 Oct 2019
Meta-Learning Deep Energy-Based Memory Models Sergey Bartunov Jack W. Rae Simon Osindero Timothy Lillicrap 29 34 0 07 Oct 2019