Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 1,052 papers shown

Title
Continual Learning in Low-rank Orthogonal Subspaces Arslan Chaudhry Naeemullah Khan P. Dokania Philip H. S. Torr CLL 33 114 0 22 Oct 2020
Online Structured Meta-learning Huaxiu Yao Yingbo Zhou M. Mahdavi Z. Li R. Socher Caiming Xiong 44 28 0 22 Oct 2020
Learning to Learn Variational Semantic Memory Xiantong Zhen Yingjun Du Huan Xiong Qiang Qiu Cees G. M. Snoek Ling Shao SSL BDL VLM DRL 15 34 0 20 Oct 2020
Federated Unsupervised Representation Learning Fengda Zhang Kun Kuang Zhaoyang You T. Shen Jun Xiao Yin Zhang Chao-Xiang Wu Yueting Zhuang Xiaolin Li FedML 28 134 0 18 Oct 2020
Bilevel Optimization: Convergence Analysis and Enhanced Design Kaiyi Ji Junjie Yang Yingbin Liang 28 245 0 15 Oct 2020
Cross-Domain Few-Shot Learning by Representation Fusion Thomas Adler Johannes Brandstetter Michael Widrich Andreas Mayr David P. Kreil Michael K Kopp G. Klambauer Sepp Hochreiter OOD 25 44 0 13 Oct 2020
Few-shot Learning for Multi-label Intent Detection Yutai Hou Y. Lai Yushan Wu Wanxiang Che Ting Liu VLM 21 48 0 11 Oct 2020
Generalized Few-shot Semantic Segmentation Zhuotao Tian Xin Lai Li Jiang Shu Liu Michelle Shu Hengshuang Zhao Jiaya Jia VLM 27 80 0 11 Oct 2020
Few-shot Learning for Spatial Regression Tomoharu Iwata Yusuke Tanaka 30 11 0 09 Oct 2020
Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning Yi Yang Arzoo Katiyar NAI 28 61 0 06 Oct 2020
Improving Few-Shot Learning through Multi-task Representation Learning Theory Quentin Bouniot I. Redko Romaric Audigier Angélique Loesch Amaury Habrard 45 10 0 05 Oct 2020
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts Xudong Wang Long Lian Zhongqi Miao Ziwei Liu Stella X. Yu 33 379 0 05 Oct 2020
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization Lanqing Li Rui Yang Dijun Luo OffRL 25 10 0 02 Oct 2020
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning Weili Nie Zhiding Yu Lei Mao Ankit B. Patel Yuke Zhu Anima Anandkumar VLM LRM 10 75 0 02 Oct 2020
Fast Few-Shot Classification by Few-Iteration Meta-Learning A. S. Tripathi Martin Danelljan Luc Van Gool Radu Timofte 29 6 0 01 Oct 2020
Interventional Few-Shot Learning Zhongqi Yue Hanwang Zhang Qianru Sun Xiansheng Hua 26 225 0 28 Sep 2020
Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images Zixuan Xiao Wei Xue P. Zhong 33 32 0 26 Sep 2020
Attribute Propagation Network for Graph Zero-shot Learning Lu Liu Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang VLM 27 75 0 24 Sep 2020
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition Tianshui Chen Liang Lin Riquan Chen X. Hui Hefeng Wu 12 153 0 20 Sep 2020
Weak-shot Fine-grained Classification via Similarity Transfer Junjie Chen Li Niu Liu Liu Liqing Zhang 36 21 0 19 Sep 2020
'Less Than One'-Shot Learning: Learning N Classes From M<N Samples Ilia Sucholutsky Matthias Schonlau VLM 8 42 0 17 Sep 2020
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks Trapit Bansal Rishikesh Jha Tsendsuren Munkhdalai Andrew McCallum SSL VLM 20 87 0 17 Sep 2020
SML: Semantic Meta-learning for Few-shot Semantic Segmentation Ayyappa Kumar Pambala Titir Dutta Soma Biswas 24 22 0 14 Sep 2020
Federated Model Distillation with Noise-Free Differential Privacy Lichao Sun Lingjuan Lyu FedML 26 106 0 11 Sep 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization Qi Zhu Carl Yang Yidan Xu Haonan Wang Chao Zhang Jiawei Han 37 116 0 11 Sep 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling C. Kim Jinseo Jeong Gunhee Kim CLL 21 101 0 08 Sep 2020
Few-Shot Object Detection via Knowledge Transfer Geonuk Kim Hong G Jung Seong-Whan Lee ObjD 26 27 0 28 Aug 2020
Dataset Bias in Few-shot Image Recognition Shuqiang Jiang Yaohui Zhu Chenlong Liu Xinhang Song Xiangyang Li Weiqing Min 29 22 0 18 Aug 2020
Offline Meta-Reinforcement Learning with Advantage Weighting E. Mitchell Rafael Rafailov Xue Bin Peng Sergey Levine Chelsea Finn OffRL 33 103 0 13 Aug 2020
Cooperative Bi-path Metric for Few-shot Learning Zeyuan Wang Yifan Zhao Jia Li Yonghong Tian 13 35 0 10 Aug 2020
Few-Shot Drum Transcription in Polyphonic Music Yu Wang Justin Salamon M. Cartwright Nicholas J. Bryan J. P. Bello 19 20 0 06 Aug 2020
I-AID: Identifying Actionable Information from Disaster-related Tweets Hamada M. Zahera Rricha Jalota M. A. Sherif A. N. Ngomo 8 13 0 04 Aug 2020
Learning from Few Samples: A Survey Nihar Bendre Hugo Terashima-Marín Peyman Najafirad VLM BDL 26 54 0 30 Jul 2020
A Hybrid Approach to Audio-to-Score Alignment Ruchit Agrawal S. Dixon 13 5 0 28 Jul 2020
Improving Generalization in Meta-learning via Task Augmentation Huaxiu Yao Long-Kai Huang Linjun Zhang Ying Wei Li Tian James Zou Junzhou Huang Z. Li 50 81 0 26 Jul 2020
Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-Learning Shen Zhang Fei Ye Bingnan Wang T. Habetler 6 75 0 25 Jul 2020
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild Yang Xiao Vincent Lepetit Renaud Marlet 3DPC 46 314 0 23 Jul 2020
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 215 330 0 22 Jul 2020
DEAL: Deep Evidential Active Learning for Image Classification Patrick Hemmer Niklas Kühl Jakob Schöffer 33 37 0 22 Jul 2020
MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning Kaushalya Madhawa T. Murata AI4CE 30 8 0 22 Jul 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 36 220 0 21 Jul 2020
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes Jake C. Snell R. Zemel 33 63 0 20 Jul 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation Cheng Ouyang C. Biffi C. L. P. Chen Turkay Kart Huaqi Qiu Daniel Rueckert 22 205 0 20 Jul 2020
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection Jiaxi Wu Songtao Liu Di Huang Yunhong Wang ObjD 28 282 0 18 Jul 2020
Impact of base dataset design on few-shot image classification Othman Sbai Camille Couprie Mathieu Aubry VLM 15 22 0 17 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning Evan Vogelbaum Rumen Dangovski L. Jing Marin Soljacic 34 3 0 17 Jul 2020
Adaptive Task Sampling for Meta-Learning Chenghao Liu Zhihao Wang Doyen Sahoo Yuan Fang Anton van den Hengel S. Hoi 25 54 0 17 Jul 2020
Layer-Wise Adaptive Updating for Few-Shot Image Classification Yunxiao Qin Weiguo Zhang Zezheng Wang Chenxu Zhao Jingping Shi 13 7 0 16 Jul 2020
Learning to Learn with Variational Information Bottleneck for Domain Generalization Yingjun Du Jun Xu Huan Xiong Qiang Qiu Xiantong Zhen Cees G. M. Snoek Ling Shao BDL OOD 30 163 0 15 Jul 2020
Concept Learners for Few-Shot Learning Kaidi Cao Maria Brbic J. Leskovec VLM OffRL 24 4 0 14 Jul 2020