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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
Parameterization of state duration in Hidden semi-Markov Models: an application in electrocardiography Adrián Pérez Herrero Paulo Félix Lamas J. Presedo 29 0 0 17 Nov 2022
Label-Efficient Object Detection via Region Proposal Network Pre-Training Nanqing Dong Linus Ericsson Yongxin Yang A. Leonardis Jingyu Sun ObjD 89 5 0 16 Nov 2022
Interclass Prototype Relation for Few-Shot Segmentation A. Okazawa SSeg VLM 66 39 0 16 Nov 2022
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering Juan Zha Zheng Li Ying Wei Yu Zhang 88 5 0 16 Nov 2022
Interpretable Few-shot Learning with Online Attribute Selection M. Zarei Majid Komeili FAtt 100 3 0 16 Nov 2022
The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck Chen Shani Jonathan Zarecki Dafna Shahaf 41 6 0 15 Nov 2022
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 122 10 0 14 Nov 2022
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval Deunsol Jung Dahyun Kang Suha Kwak Minsu Cho CLL 77 8 0 14 Nov 2022
Enhancing Few-shot Image Classification with Cosine Transformer Quang-Huy Nguyen Cuong Q. Nguyen Dung D. Le Hieu H. Pham ViT 87 13 0 13 Nov 2022
Few-Shot Learning for Biometric Verification S. Ahmed Umaid M. Zaffar M. Aslam M. I. Malik 68 0 0 12 Nov 2022
Mitigating Forgetting in Online Continual Learning via Contrasting Semantically Distinct Augmentations Shenghao Yu Wei-Chen Chiu CLL 20 1 0 10 Nov 2022
Few-shot Classification with Hypersphere Modeling of Prototypes Ning Ding Yulin Chen Ganqu Cui Xiaobin Wang Haitao Zheng Zhiyuan Liu Pengjun Xie 91 9 0 10 Nov 2022
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind Mo Yu Qiujing Wang Shunchi Zhang Yisi Sang Kangsheng Pu ... Han Wang Liyan Xu Jing Li Yue Yu Jie Zhou 89 20 0 09 Nov 2022
Prompt-Based Metric Learning for Few-Shot NER Yanru Chen Yanan Zheng Zhilin Yang VLM 77 28 0 08 Nov 2022
A Survey on Computer Vision based Human Analysis in the COVID-19 Era Fevziye Irem Eyiokur Alperen Kantarci M. Erakin Naser Damer Ferda Ofli ... Janez Križaj A. Salah Alexander Waibel Vitomir Štruc H. K. Ekenel 77 21 0 07 Nov 2022
Towards a mathematical understanding of learning from few examples with nonlinear feature maps Oliver J. Sutton Alexander N. Gorban I. Tyukin 47 3 0 07 Nov 2022
Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition Youcheng Huang Wenqiang Lei Jie Fu Jiancheng Lv 61 3 0 07 Nov 2022
KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles Dominik Filipiak A. Fensel A. Filipowska 72 1 0 06 Nov 2022
Prototypical quadruplet for few-shot class incremental learning Sanchar Palit Biplab Banerjee S. Chaudhuri CLL 16 1 0 05 Nov 2022
Elimination of Non-Novel Segments at Multi-Scale for Few-Shot Segmentation Alper Kayabasi Gülin Tüfekci ilkay Ulusoy 62 7 0 04 Nov 2022
Robust Few-shot Learning Without Using any Adversarial Samples Gaurav Kumar Nayak Ruchit Rawal Inder Khatri Anirban Chakraborty AAML 58 2 0 03 Nov 2022
A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation Kai-Qi Huang Mingfei Cheng Yang Wang Bochen Wang Ye Xi Feigege Wang Peng Chen 74 2 0 02 Nov 2022
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective Jinxiang Lai Siqian Yang Guannan Jiang Xi-Zhao Wang Yuxi Li ... Jing Liu Bin-Bin Gao Wei Zhang Yuan Xie Chengjie Wang 92 7 0 02 Nov 2022
tSF: Transformer-based Semantic Filter for Few-Shot Learning Jinxiang Lai Siqian Yang Wenlong Liu Yi Zeng Zhongyi Huang Wenlong Wu Jun Liu Bin-Bin Gao Chengjie Wang VLM 71 19 0 02 Nov 2022
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer Sen Lin Li Yang Deliang Fan Junshan Zhang CLL 184 48 0 01 Nov 2022
SAGE: Saliency-Guided Mixup with Optimal Rearrangements A. Ma Nikita Dvornik Ran Zhang Leila Pishdad Konstantinos G. Derpanis Afsaneh Fazly 93 8 0 31 Oct 2022
A picture of the space of typical learnable tasks Rahul Ramesh Jialin Mao Itay Griniasty Rubing Yang H. Teoh Mark K. Transtrum James P. Sethna Pratik Chaudhari SSL DRL 124 5 0 31 Oct 2022
Few-Shot Classification of Skin Lesions from Dermoscopic Images by Meta-Learning Representative Embeddings Karthik Desingu P. Mirunalini Chandrabose Aravindan 98 1 0 30 Oct 2022
Uncertainty-DTW for Time Series and Sequences Lei Wang Piotr Koniusz 86 36 0 30 Oct 2022
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid Jing Xu Xu Luo Xinglin Pan Wenjie Pei Yanan Li Zenglin Xu 84 23 0 30 Oct 2022
Self-Regularized Prototypical Network for Few-Shot Semantic Segmentation Henghui Ding Hui Zhang Xudong Jiang 108 61 0 30 Oct 2022
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition Lei Wang Piotr Koniusz 143 29 0 30 Oct 2022
Few-shot Image Generation via Adaptation-Aware Kernel Modulation Yunqing Zhao Keshigeyan Chandrasegaran Milad Abdollahzadeh Ngai-Man Cheung 124 46 0 29 Oct 2022
RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction Yanyan Shen Lifan Zhao Weiyu Cheng Zibin Zhang Wenwen Zhou Kangyi Lin 71 5 0 28 Oct 2022
Do Pre-trained Models Benefit Equally in Continual Learning? Kuan-Ying Lee Yuanyi Zhong Yu-Xiong Wang CLL 85 28 0 27 Oct 2022
A Generic Shared Attention Mechanism for Various Backbone Neural Networks Zhongzhan Huang Senwei Liang Mingfu Liang Liang Lin 111 6 0 27 Oct 2022
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference Ségolène Martin Malik Boudiaf Émilie Chouzenoux J. Pesquet Ismail Ben Ayed 97 8 0 26 Oct 2022
Á net for everyone': fully personalized and unsupervised neural networks trained with longitudinal data from a single patient Christian Strack Kelsey L. Pomykala H. Schlemmer Jan Egger Jens Kleesiek 52 3 0 25 Oct 2022
From Points to Functions: Infinite-dimensional Representations in Diffusion Models Sarthak Mittal Guillaume Lajoie Stefan Bauer Arash Mehrjou DiffM 93 30 0 25 Oct 2022
Better Few-Shot Relation Extraction with Label Prompt Dropout Peiyuan Zhang Wei Lu VLM 70 28 0 25 Oct 2022
MARS: Meta-Learning as Score Matching in the Function Space Krunoslav Lehman Pavasovic Jonas Rothfuss Andreas Krause BDL 100 5 0 24 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and Directions Xiaonan Liu Yansha Deng Arumugam Nallanathan M. Bennis 116 38 0 24 Oct 2022
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization K. Pham Hung Le Man Ngo T. Tran OODD 68 1 0 23 Oct 2022
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders Ömer Sümer Fabio Hellmann Alexander Hustinx Tzung-Chien Hsieh Elisabeth André P. Krawitz CVBM 82 7 0 23 Oct 2022
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks Shibo Li Michael Penwarden Yiming Xu Conor Tillinghast Akil Narayan Robert M. Kirby Shandian Zhe AI4CE 99 4 0 23 Oct 2022
Deep domain adaptation for polyphonic melody extraction Kavya Ranjan Saxena Vipul Arora 75 0 0 22 Oct 2022
Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks Arijit Sehanobish Kawshik Kannan Nabila Abraham Anasuya Das Benjamin Odry VLM 75 0 0 22 Oct 2022
A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning Yanjun Qi Han Sun Ningzhong Liu Huiyu Zhou 83 9 0 22 Oct 2022
Graph Few-shot Learning with Task-specific Structures Song Wang Chen Chen Jundong Li 95 24 0 21 Oct 2022
Efficient Dataset Distillation Using Random Feature Approximation Noel Loo Ramin Hasani Alexander Amini Daniela Rus DD 131 100 0 21 Oct 2022