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Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

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Title
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning Kevin Maik Jablonka D. Ongari S. M. Moosavi B. Smit AI4CE 85 365 0 18 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 78 14 0 17 Jan 2020
CycleCluster: Modernising Clustering Regularisation for Deep Semi-Supervised Classification P. Sellars Angelica Aviles-Rivero Carola Bibiane Schönlieb 18 0 0 15 Jan 2020
Learning similarity measures from data B. Mathisen A. Aamodt Kerstin Bach H. Langseth 35 51 0 15 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 80 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 Torr SSL 103 60 0 12 Jan 2020
Few-shot Action Recognition with Permutation-invariant Attention Hongguang Zhang Li Zhang Xiaojuan Qi Hongdong Li Philip Torr Piotr Koniusz 45 3 0 12 Jan 2020
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning Tailin Wu 128 1 0 11 Jan 2020
Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer Hongguang Zhang Philip Torr Piotr Koniusz ViT 72 3 0 06 Jan 2020
From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems Osvaldo Simeone Sangwoo Park Joonhyuk Kang AI4CE 104 62 0 05 Jan 2020
Automated Relational Meta-learning Huaxiu Yao Xian Wu Zhiqiang Tao Yaliang Li Bolin Ding Ruirui Li Z. Li 97 90 0 03 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 93 71 0 31 Dec 2019
FLAT: Few-Shot Learning via Autoencoding Transformation Regularizers Haohang Xu H. Xiong Guojun Qi 41 2 0 29 Dec 2019
Variational Metric Scaling for Metric-Based Meta-Learning Jiaxin Chen Li-Ming Zhan Xiao-Ming Wu K. F. Chung 67 48 0 26 Dec 2019
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 310 1,211 0 24 Dec 2019
Siamese Networks for Large-Scale Author Identification Chakaveh Saedi Mark Dras 85 38 0 23 Dec 2019
Learning to Impute: A General Framework for Semi-supervised Learning Wei-Hong Li Chuan-Sheng Foo Hakan Bilen SSL 73 10 0 22 Dec 2019
Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks Joanna Materzynska Tete Xiao Roei Herzig Huijuan Xu Xiaolong Wang Trevor Darrell CoGe 64 176 0 20 Dec 2019
Meta-Graph: Few Shot Link Prediction via Meta Learning A. Bose Ankit Jain Piero Molino William L. Hamilton 84 66 0 20 Dec 2019
Unsupervised Few-shot Learning via Self-supervised Training Zilong Ji Xiaolong Zou Tiejun Huang Si Wu SSL 66 24 0 20 Dec 2019
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning Zhongjie Yu Lin Chen Zhongwei Cheng Jiebo Luo 80 110 0 19 Dec 2019
One-Shot Weakly Supervised Video Object Segmentation Mennatullah Siam Naren Doraiswamy Boris N. Oreshkin Hengshuai Yao Martin Jägersand VOS 45 2 0 18 Dec 2019
Continuous Meta-Learning without Tasks James Harrison Apoorva Sharma Chelsea Finn Marco Pavone CLL OOD 98 79 0 18 Dec 2019
Semantic Regularization: Improve Few-shot Image Classification by Reducing Meta Shift Da Chen Yongliang Yang Zunlei Feng Xiang Wu Min-Gyoo Song Wenbin Li Yuan He Hui Xue Feng Mao VLM 23 1 0 18 Dec 2019
A Broader Study of Cross-Domain Few-Shot Learning Yunhui Guo Noel Codella Leonid Karlinsky James V. Codella John R. Smith Kate Saenko Tajana Simunic Rogerio Feris 88 45 0 16 Dec 2019
One-Shot Induction of Generalized Logical Concepts via Human Guidance M. Das Nandini Ramanan J. Doppa S. Natarajan NAI 15 1 0 15 Dec 2019
Cross-Batch Memory for Embedding Learning Xun Wang H. Zhang Weilin Huang Matthew R. Scott 151 247 0 14 Dec 2019
Towards Contextual Learning in Few-shot Object Classification M. Fortin B. Chaib-draa 61 3 0 13 Dec 2019
Multi-level Similarity Learning for Low-Shot Recognition Hongwei Xv Changrui Chen Junyu Dong Shu Zhang Qiong Li 30 1 0 13 Dec 2019
Meta-Learning Initializations for Image Segmentation S. Hendryx Andrew B. Leach P. Hein Clayton T. Morrison VLM 85 25 0 13 Dec 2019
Associative Alignment for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 75 151 0 11 Dec 2019
A Two-Stage Approach to Few-Shot Learning for Image Recognition Debasmit Das C. S. George Lee 108 126 0 10 Dec 2019
Meta-Learning without Memorization Mingzhang Yin George Tucker Mingyuan Zhou Sergey Levine Chelsea Finn VLM 62 188 0 09 Dec 2019
Machine Unlearning Lucas Bourtoule Varun Chandrasekaran Christopher A. Choquette-Choo Hengrui Jia Adelin Travers Baiwu Zhang David Lie Nicolas Papernot MU 197 890 0 09 Dec 2019
Improved Few-Shot Visual Classification Peyman Bateni Raghav Goyal Vaden Masrani Frank Wood Leonid Sigal VLM 85 234 0 07 Dec 2019
Revisiting Few-Shot Learning for Facial Expression Recognition Anca-Nicoleta Ciubotaru A. Devos Behzad Bozorgtabar Jean-Philippe Thiran M. Gabrani CVBM 63 11 0 05 Dec 2019
MetaFun: Meta-Learning with Iterative Functional Updates Jin Xu Jean-François Ton Hyunjik Kim Adam R. Kosiorek Yee Whye Teh 78 68 0 05 Dec 2019
Post-Mortem Iris Recognition Resistant to Biological Eye Decay Processes Mateusz Trokielewicz A. Czajka P. Maciejewicz CVBM 48 10 0 05 Dec 2019
Adjusting Decision Boundary for Class Imbalanced Learning Byungju Kim Junmo Kim 153 76 0 04 Dec 2019
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification Sivan Doveh Eli Schwartz Chao Xue Rogerio Feris A. Bronstein Raja Giryes Leonid Karlinsky 124 17 0 01 Dec 2019
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images Zhaohui Yang Miaojing Shi Chao Xu V. Ferrari Yannis Avrithis WSOD 88 10 0 01 Dec 2019
Image Based Identification of Ghanaian Timbers Using the XyloTron: Opportunities, Risks and Challenges Prabu Ravindran E. Ebanyenle Alberta Asi Ebeheakey Kofi Bonsu Abban Ophilious Lambog Richard Soares Adriana Costa A. Wiedenhoeft 22 18 0 01 Dec 2019
VIABLE: Fast Adaptation via Backpropagating Learned Loss Leo Feng L. Zintgraf Bei Peng Shimon Whiteson 57 1 0 29 Nov 2019
Unlocking the Full Potential of Small Data with Diverse Supervision Ziqi Pang Zhiyuan Hu P. Tokmakov Yu-Xiong Wang M. Hebert 30 0 0 29 Nov 2019
One-Shot Object Detection with Co-Attention and Co-Excitation Ting-I Hsieh Yi-Chen Lo Hwann-Tzong Chen Tyng-Luh Liu ObjD 107 167 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 116 11 0 28 Nov 2019
Deep Template-based Object Instance Detection Jean-Philippe Mercier Mathieu Garon Philippe Giguère Jean-François Lalonde 33 0 0 26 Nov 2019
Decoupling Features and Coordinates for Few-shot RGB Relocalization Siyan Dong Songyin Wu Yixin Zhuang Kai Xu Shanghang Zhang Baoquan Chen 58 0 0 26 Nov 2019
Few-Shot Knowledge Graph Completion Chuxu Zhang Huaxiu Yao Chao Huang Meng Jiang Z. Li Nitesh Chawla 54 205 0 26 Nov 2019
Meta-Learning of Neural Architectures for Few-Shot Learning T. Elsken B. Staffler J. H. Metzen Frank Hutter 88 139 0 25 Nov 2019