Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 1,273 papers shown

Title
Smoothed Embeddings for Certified Few-Shot Learning Mikhail Aleksandrovich Pautov Olesya Kuznetsova Nurislam Tursynbek Aleksandr Petiushko Ivan Oseledets 47 5 0 02 Feb 2022
Quantifying Relevance in Learning and Inference M. Marsili Y. Roudi 22 18 0 01 Feb 2022
Advances in MetaDL: AAAI 2021 challenge and workshop Adrian El Baz Isabelle M Guyon Zhengying Liu J. V. Rijn Sébastien Treguer Joaquin Vanschoren 25 7 0 01 Feb 2022
Similarity Learning based Few Shot Learning for ECG Time Series Classification Priyanka Gupta Sathvik Bhaskarpandit Manik Gupta 22 14 0 31 Jan 2022
Deep Learning Approaches on Image Captioning: A Review Taraneh Ghandi H. Pourreza H. Mahyar VLM 30 89 0 31 Jan 2022
A Survey on Visual Transfer Learning using Knowledge Graphs Sebastian Monka Lavdim Halilaj Achim Rettinger 38 23 0 27 Jan 2022
Meta-learning Spiking Neural Networks with Surrogate Gradient Descent Kenneth Stewart Emre Neftci 37 25 0 26 Jan 2022
EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients Yassir Bendou Yuqing Hu Raphael Lafargue G. Lioi Bastien Pasdeloup S. Pateux Vincent Gripon VLM 44 37 0 24 Jan 2022
Distance-Ratio-Based Formulation for Metric Learning Hyeongji Kim P. Parviainen K. Malde 19 1 0 21 Jan 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 25 31 0 20 Jan 2022
OmniPrint: A Configurable Printed Character Synthesizer Haozhe Sun Wei-Wei Tu Isabelle M Guyon SyDa 46 7 0 17 Jan 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 36 101 0 15 Jan 2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning Peyman Bateni Jarred Barber Raghav Goyal Vaden Masrani Jan-Willem van de Meent Leonid Sigal Frank Wood BDL VLM 50 9 0 13 Jan 2022
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning A. Zhmoginov Mark Sandler Max Vladymyrov ViT 33 68 0 11 Jan 2022
MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing Xin Liu Yuntao wang S. Xie Xiaoyu Zhang Zixian Ma Daniel J. McDuff Shwetak N. Patel 30 10 0 11 Jan 2022
Semantics-driven Attentive Few-shot Learning over Clean and Noisy Samples Orhun Bugra Baran Ramazan Gokberk Cinbics 27 4 0 09 Jan 2022
Budget-aware Few-shot Learning via Graph Convolutional Network Shipeng Yan Songyang Zhang Xuming He 11 6 0 07 Jan 2022
A Unified Framework for Attention-Based Few-Shot Object Detection Pierre Le Jeune Anissa Zergaïnoh-Mokraoui ObjD 46 2 0 06 Jan 2022
Class-Incremental Continual Learning into the eXtended DER-verse Matteo Boschini Lorenzo Bonicelli Pietro Buzzega Angelo Porrello Simone Calderara CLL BDL 37 128 0 03 Jan 2022
Distributed Evolution Strategies Using TPUs for Meta-Learning Alex Sheng J. He 16 2 0 01 Jan 2022
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains Yuan Cheng Ci-Siang Lin Fu-En Yang Yu-Chiang Frank Wang 34 1 0 27 Dec 2021
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve Lei Wang Jun Liu Piotr Koniusz 42 20 0 23 Dec 2021
Meta-Learning and Self-Supervised Pretraining for Real World Image Translation Ileana Rugina Rumen Dangovski Mark S. Veillette Pooya Khorrami Brian Cheung Olga Simek M. Soljavcić VLM SSL 25 2 0 22 Dec 2021
Cost Aggregation Is All You Need for Few-Shot Segmentation Sunghwan Hong Seokju Cho Jisu Nam Seungryong Kim ViT 31 23 0 22 Dec 2021
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey Jiaoyan Chen Yuxia Geng Zhuo Chen Jeff Z. Pan Yuan He Wen Zhang Ian Horrocks Hua-zeng Chen 35 43 0 18 Dec 2021
Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks G. Han Yicheng He Shiyuan Huang Jiawei Ma Shih-Fu Chang ObjD 41 103 0 17 Dec 2021
Adaptively Customizing Activation Functions for Various Layers Haigen Hu Aizhu Liu Q. Guan Xiaoxin Li Shengyong Chen Qianwei Zhou 27 11 0 17 Dec 2021
Semantic-Based Few-Shot Learning by Interactive Psychometric Testing Lu Yin Vlado Menkovski Yulong Pei Mykola Pechenizkiy 27 1 0 16 Dec 2021
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 48 21 0 15 Dec 2021
Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent Detection Ayush Kumar Vijit Malik Jithendra Vepa 31 1 0 14 Dec 2021
Exploring Category-correlated Feature for Few-shot Image Classification Jing Xu Xinglin Pan Xu Luo Wenjie Pei Zenglin Xu 27 4 0 14 Dec 2021
Hybrid Graph Neural Networks for Few-Shot Learning Tianyuan Yu Sen He Yi-Zhe Song Tao Xiang 30 60 0 13 Dec 2021
Shaping Visual Representations with Attributes for Few-Shot Recognition Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 36 7 0 13 Dec 2021
Spatio-temporal Relation Modeling for Few-shot Action Recognition Anirudh Thatipelli Sanath Narayan Salman Khan Rao Muhammad Anwer Fahad Shahbaz Khan Guohao Li ViT 34 88 0 09 Dec 2021
Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF Su Zhu Lu Chen Ruisheng Cao Zhi Chen Qingliang Miao Kai Yu 27 2 0 09 Dec 2021
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers Zunlei Feng Jiacong Hu Sai Wu Xiaotian Yu Mingli Song Xiuming Zhang 45 13 0 09 Dec 2021
MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification Rex Liu Huan Zhang Hamed Pirsiavash Xin Liu ViT 30 11 0 08 Dec 2021
Curriculum Meta-Learning for Few-shot Classification Emmanouil Stergiadis Priyanka Agrawal Oliver Squire VLM 25 5 0 06 Dec 2021
MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples Yuying Ge Ruimao Zhang Ping Luo 20 7 0 06 Dec 2021
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation Bowen Hao Hongzhi Yin Jing Zhang Cuiping Li Hong Chen 37 22 0 04 Dec 2021
Self-supervised Graph Learning for Occasional Group Recommendation Bowen Hao Hongzhi Yin Cuiping Li Hong Chen 35 6 0 04 Dec 2021
Adaptive Poincaré Point to Set Distance for Few-Shot Classification Rongkai Ma Pengfei Fang Tom Drummond Mehrtash Harandi 23 45 0 03 Dec 2021
PartImageNet: A Large, High-Quality Dataset of Parts Ju He Shuo Yang Shaokang Yang Adam Kortylewski Xiaoding Yuan Jieneng Chen Shuai Liu Cheng Yang Qihang Yu Alan Yuille 3DV MLLM 3DH VLM 59 95 0 02 Dec 2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning Shuai Shao Lei Xing Rui Xu Weifeng Liu Yanjiang Wang Baodi Liu 51 30 0 01 Dec 2021
Few-Shot Object Detection via Association and DIscrimination Yuhang Cao Jiaqi Wang Ying Jin Tong Wu Kai-xiang Chen Ziwei Liu Dahua Lin ObjD 31 82 0 23 Nov 2021
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding Qianying Liu Fei Cheng Sadao Kurohashi 17 1 0 10 Nov 2021
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation Hyeongjun Kwon Somi Jeong Sunok Kim Kwanghoon Sohn VLM 37 10 0 09 Nov 2021
Improved Regularization and Robustness for Fine-tuning in Neural Networks Dongyue Li Hongyang R. Zhang NoLa 55 56 0 08 Nov 2021
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy Junying Huang Fan Chen Keze Wang Liang Lin Dongyu Zhang 33 8 0 08 Nov 2021
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation Fenglin Liu Chenyu You Xian Wu Shen Ge Sheng Wang Xu Sun MedIm 81 92 0 08 Nov 2021