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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
Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-Learning Shen Zhang Fei Ye Bingnan Wang T. Habetler 46 81 0 25 Jul 2020
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild Yang Xiao Vincent Lepetit Renaud Marlet 3DPC 138 322 0 23 Jul 2020
Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection Xianyu Chen Ming Jiang Qi Zhao ObjD 40 14 0 23 Jul 2020
Reliable Label Bootstrapping for Semi-Supervised Learning Paul Albert Diego Ortego Eric Arazo Noel E. O'Connor Kevin McGuinness SSL 73 5 0 23 Jul 2020
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 294 338 0 22 Jul 2020
DEAL: Deep Evidential Active Learning for Image Classification Patrick Hemmer Niklas Kühl Jakob Schöffer 86 38 0 22 Jul 2020
MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning Kaushalya Madhawa T. Murata AI4CE 70 8 0 22 Jul 2020
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach Xian Zhong Cheng Gu Wenxin Huang Lin Li Shuqin Chen Chia-Wen Lin SSL 39 12 0 21 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 129 235 0 21 Jul 2020
Sorted Pooling in Convolutional Networks for One-shot Learning András Horváth FAtt MLT 31 1 0 20 Jul 2020
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes Jake C. Snell R. Zemel 111 63 0 20 Jul 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation Cheng Ouyang C. Biffi Chen Chen Turkay Kart Huaqi Qiu Daniel Rueckert 104 210 0 20 Jul 2020
One-Shot Learning for Language Modelling Talip Uçar Adrián González-Martín Matthew Lee Adrian Daniel Szwarc 32 3 0 19 Jul 2020
Meta-learning with Latent Space Clustering in Generative Adversarial Network for Speaker Diarization Monisankha Pal Manoj Kumar Raghuveer Peri Tae Jin Park So Hyun Kim C. Lord Somer Bishop Shrikanth Narayanan 130 20 0 19 Jul 2020
Meta-learning for Few-shot Natural Language Processing: A Survey Wenpeng Yin 84 78 0 19 Jul 2020
Few-Shot Defect Segmentation Leveraging Abundant Normal Training Samples Through Normal Background Regularization and Crop-and-Paste Operation Dongyun Lin Yanpeng Cao Wenbin Zhu Yiqun Li UQCV 142 6 0 18 Jul 2020
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection Jiaxi Wu Songtao Liu Di Huang Yunhong Wang ObjD 136 288 0 18 Jul 2020
MTL2L: A Context Aware Neural Optimiser N. Kuo Mehrtash Harandi Nicolas Fourrier Christian J. Walder Gabriela Ferraro H. Suominen 31 0 0 18 Jul 2020
Impact of base dataset design on few-shot image classification Othman Sbai Camille Couprie Mathieu Aubry VLM 68 23 0 17 Jul 2020
Discovering Reinforcement Learning Algorithms Junhyuk Oh Matteo Hessel Wojciech M. Czarnecki Zhongwen Xu H. V. Hasselt Satinder Singh David Silver 86 129 0 17 Jul 2020
Explanation-Guided Training for Cross-Domain Few-Shot Classification Jiamei Sun Sebastian Lapuschkin Wojciech Samek Yunqing Zhao Ngai-Man Cheung Alexander Binder 72 90 0 17 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning Evan Vogelbaum Rumen Dangovski L. Jing Marin Soljacic 126 3 0 17 Jul 2020
Adaptive Task Sampling for Meta-Learning Chenghao Liu Zhihao Wang Doyen Sahoo Yuan Fang Kun Zhang Guosheng Lin 104 55 0 17 Jul 2020
Layer-Wise Adaptive Updating for Few-Shot Image Classification Yunxiao Qin Weiguo Zhang Zezheng Wang Chenxu Zhao Jingping Shi 51 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 80 171 0 15 Jul 2020
How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning Yikai Wang Li Zhang Yuan Yao Yanwei Fu 135 44 0 15 Jul 2020
Concept Learners for Few-Shot Learning Kaidi Cao Maria Brbic J. Leskovec VLM OffRL 92 4 0 14 Jul 2020
Attentive Graph Neural Networks for Few-Shot Learning Hao Cheng Qiufeng Wang Wee Peng Tay Bihan Wen 41 13 0 14 Jul 2020
Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner Eugene Lee E. Chen Chen-Yi Lee 76 164 0 14 Jul 2020
Part-aware Prototype Network for Few-shot Semantic Segmentation Yongfei Liu Xiangyi Zhang Songyang Zhang Xuming He 49 323 0 13 Jul 2020
Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification Yucan Zhou Yu Wang Jianfei Cai Yu Zhou Q. Hu Weiping Wang VLM 65 12 0 13 Jul 2020
Applying recent advances in Visual Question Answering to Record Linkage Marko Smilevski 22 0 0 12 Jul 2020
Submodular Meta-Learning Arman Adibi Aryan Mokhtari Hamed Hassani CLL 80 5 0 11 Jul 2020
Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine Pseudo-Labeling with Visual-Semantic Meta-Embedding Jinhai Yang Han Yang Lin Chen 56 20 0 11 Jul 2020
Meta-Learning Requires Meta-Augmentation Janarthanan Rajendran A. Irpan Eric Jang 79 96 0 10 Jul 2020
$n$ -Reference Transfer Learning for Saliency Prediction Yan Luo Yongkang Wong Mohan Kankanhalli Qi Zhao 40 5 0 09 Jul 2020
Few Is Enough: Task-Augmented Active Meta-Learning for Brain Cell Classification Pengyu Yuan Aryan Mobiny J. Jahanipour Xiaoyang Li P. Cicalese B. Roysam Vishal M. Patel Maric Dragan H. Nguyen 60 13 0 09 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 70 18 0 09 Jul 2020
Wandering Within a World: Online Contextualized Few-Shot Learning Mengye Ren Michael L. Iuzzolino Michael C. Mozer R. Zemel CLL 82 32 0 09 Jul 2020
Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant Network Ademola Oladosu Tony Xu Philip Ekfeldt Brian A. Kelly M. Cranmer S. Ho A. Price-Whelan Gabriella Contardo 64 1 0 08 Jul 2020
Predicting the Accuracy of a Few-Shot Classifier Myriam Bontonou Louis Bethune Vincent Gripon 78 4 0 08 Jul 2020
Few-Shot One-Class Classification via Meta-Learning A. Frikha Denis Krompass Hans-Georg Koepken Volker Tresp 93 57 0 08 Jul 2020
Meta-Learning with Network Pruning Hongduan Tian Bo Liu Xiaotong Yuan Qingshan Liu 58 27 0 07 Jul 2020
Meta-Learning Symmetries by Reparameterization Allan Zhou Tom Knowles Chelsea Finn OOD 91 96 0 06 Jul 2020
Adaptive Risk Minimization: Learning to Adapt to Domain Shift Marvin Zhang Henrik Marklund Nikita Dhawan Abhishek Gupta Sergey Levine Chelsea Finn OOD 74 208 0 06 Jul 2020
Covariate Distribution Aware Meta-learning Amrith Rajagopal Setlur Saket Dingliwal Barnabás Póczós OOD BDL 86 0 0 06 Jul 2020
FLUID: A Unified Evaluation Framework for Flexible Sequential Data Matthew Wallingford Aditya Kusupati Keivan Alizadeh Vahid Aaron Walsman Aniruddha Kembhavi Ali Farhadi 62 2 0 06 Jul 2020
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs Meng Qu Tianyu Gao Louis-Pascal Xhonneux Jian Tang BDL 98 112 0 05 Jul 2020
MetaConcept: Learn to Abstract via Concept Graph for Weakly-Supervised Few-Shot Learning Baoquan Zhang Ka-Cheong Leung Yunming Ye Xutao Li 91 1 0 05 Jul 2020
A Few-Shot Sequential Approach for Object Counting Negin Sokhandan Pegah Kamousi Alejandro Posada Eniola Alese Negar Rostamzadeh 61 3 0 03 Jul 2020