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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
Semi Few-Shot Attribute Translation Ricard Durall Franz-Josef Pfreundt J. Keuper GAN VLM 55 3 0 08 Oct 2019
Graph Few-shot Learning via Knowledge Transfer Huaxiu Yao Chuxu Zhang Ying Wei Meng Jiang Suhang Wang Junzhou Huang Nitesh Chawla Z. Li 135 168 0 07 Oct 2019
Meta-Learning Deep Energy-Based Memory Models Sergey Bartunov Jack W. Rae Simon Osindero Timothy Lillicrap 167 34 0 07 Oct 2019
Meta-Transfer Learning through Hard Tasks Qianru Sun Yaoyao Liu Zhaozheng Chen Tat-Seng Chua Bernt Schiele 104 104 0 07 Oct 2019
Few-shot tweet detection in emerging disaster events Anna M. Kruspe 15 8 0 05 Oct 2019
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning Limeng Qiao Yemin Shi Jia Li Yaowei Wang Tiejun Huang Yonghong Tian 70 182 0 05 Oct 2019
Generalized Inner Loop Meta-Learning Jaya Kumar Alageshan Brandon Amos A. Verma Phu Mon Htut Artem Molchanov Franziska Meier Douwe Kiela Kyunghyun Cho Soumith Chintala AI4CE 95 160 0 03 Oct 2019
An empirical study of pretrained representations for few-shot classification Tiago Ramalho Laura Vana-Gur P. Filzmoser VLM 57 6 0 03 Oct 2019
Adversarially Robust Few-Shot Learning: A Meta-Learning Approach Micah Goldblum Liam H. Fowl Tom Goldstein 83 13 0 02 Oct 2019
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video Maria Bauzá Ferran Alet Yen-Chen Lin Tomas Lozano-Perez L. Kaelbling Phillip Isola Alberto Rodriguez 90 22 0 01 Oct 2019
Graph convolutional networks for learning with few clean and many noisy labels Ahmet Iscen Giorgos Tolias Yannis Avrithis Ondřej Chum Cordelia Schmid SSL 82 19 0 01 Oct 2019
Revisiting Fine-tuning for Few-shot Learning Akihiro Nakamura Tatsuya Harada 118 54 0 01 Oct 2019
Blessing of dimensionality at the edge I. Tyukin Alexander N. Gorban A. McEwan Sepehr Meshkinfamfard Lixin Tang 52 8 0 30 Sep 2019
Meta-learning algorithms for Few-Shot Computer Vision Etienne Bennequin VLM 76 6 0 30 Sep 2019
Chameleon: Learning Model Initializations Across Tasks With Different Schemas L. Brinkmeyer Rafael Rêgo Drumond Randolf Scholz Josif Grabocka Lars Schmidt-Thieme CLL 61 9 0 30 Sep 2019
Deep Amortized Clustering Juho Lee Yoonho Lee Yee Whye Teh FedML 69 22 0 30 Sep 2019
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts Yu Sun Xiaolong Wang Zhuang Liu John Miller Alexei A. Efros Moritz Hardt TTA OOD 99 96 0 29 Sep 2019
Neural Embedding Propagation on Heterogeneous Networks Carl Yang Jieyu Zhang Jiawei Han 93 20 0 29 Sep 2019
Feature Weighting and Boosting for Few-Shot Segmentation Khoi Duc Minh Nguyen S. Todorovic 120 331 0 28 Sep 2019
Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation Yu Liu Lingqiao Liu Haokui Zhang S. Hamid Rezatofighi Ian Reid VOS 37 9 0 28 Sep 2019
RLBench: The Robot Learning Benchmark & Learning Environment Stephen James Z. Ma David Rovick Arrojo Andrew J. Davison SSL VLM OffRL 145 563 0 26 Sep 2019
A Theoretical Analysis of the Number of Shots in Few-Shot Learning Tianshi Cao M. Law Sanja Fidler 96 63 0 25 Sep 2019
Stochastic Prototype Embeddings Tyler R. Scott Karl Ridgeway Michael C. Mozer BDL UQCV 61 14 0 25 Sep 2019
Decoder Choice Network for Meta-Learning Jialin Liu Yong Li Longzhi Yang Chih-Min Lin Q. Shen 31 9 0 25 Sep 2019
DECoVaC: Design of Experiments with Controlled Variability Components Thomas Boquet Laure Delisle Denis Kochetkov Nathan Schucher Parmida Atighehchian Boris N. Oreshkin Julien Cornebise 55 1 0 21 Sep 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 323 648 0 19 Sep 2019
Meta-Neighborhoods Siyuan Shan Yang Li Junier Oliva 142 15 0 18 Sep 2019
ProtoGAN: Towards Few Shot Learning for Action Recognition Sai Kumar Dwivedi Vikram Gupta Rahul Mitra Shuaib Ahmed Arjun Jain 97 96 0 17 Sep 2019
MetalGAN: a Cluster-based Adaptive Training for Few-Shot Adversarial Colorization Tomaso Fontanini Eleonora Iotti Andrea Prati GAN 70 4 0 17 Sep 2019
Metric-Based Few-Shot Learning for Video Action Recognition Chris Careaga Brian Hutchinson Nathan Oken Hodas Lawrence Phillips 143 22 0 14 Sep 2019
Torchmeta: A Meta-Learning library for PyTorch T. Deleu Tobias Würfl Mandana Samiei Joseph Paul Cohen Yoshua Bengio OffRL 74 85 0 14 Sep 2019
Meta-Learning for Few-Shot Time Series Classification Jyoti Narwariya Pankaj Malhotra Lovekesh Vig Gautam M. Shroff T. Vishnu 158 60 0 13 Sep 2019
Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective Keqin Li Martin Renqiang Min Y. Fu VLM 107 127 0 13 Sep 2019
Modular Meta-Learning with Shrinkage Yutian Chen A. Friesen Feryal M. P. Behbahani Arnaud Doucet David Budden Matthew W. Hoffman Nando de Freitas KELM OffRL 112 35 0 12 Sep 2019
Learning to Propagate for Graph Meta-Learning Lu Liu Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang 112 97 0 11 Sep 2019
Domain-Agnostic Few-Shot Classification by Learning Disparate Modulators Yongseok Choi Junyoung Park Subin Yi D.-Y. Cho OOD 30 0 0 11 Sep 2019
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 165 859 0 10 Sep 2019
A Meta-Learning Framework for Generalized Zero-Shot Learning Vinay Kumar Verma Dhanajit Brahma Piyush Rai BDL DiffM VLM 75 19 0 10 Sep 2019
PARN: Position-Aware Relation Networks for Few-Shot Learning Ziyang Wu Yuwei Li Lihua Guo Kui Jia 75 88 0 10 Sep 2019
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification Jiawei Wu Wenhan Xiong William Yang Wang 72 71 0 09 Sep 2019
Meta-learnt priors slow down catastrophic forgetting in neural networks G. Spigler CLL 44 10 0 09 Sep 2019
TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion Mingqing Xiao Adam Kortylewski Ruihai Wu Siyuan Qiao Wei Shen Alan Yuille 72 14 0 09 Sep 2019
Episode-based Prototype Generating Network for Zero-Shot Learning YunLong Yu Zhong Ji Zhongfei Zhang Jungong Han VLM 82 145 0 08 Sep 2019
The Disruptions of 5G on Data-driven Technologies and Applications Dumitrel Loghin Shaofeng Cai Gang Chen Tien Tuan Anh Dinh Feiyi Fan ... Wei Wang Xiaokui Xiao Yang Yang Meihui Zhang Zhonghua Zhang 61 66 0 06 Sep 2019
A Baseline for Few-Shot Image Classification Guneet Singh Dhillon Pratik Chaudhari Avinash Ravichandran Stefano Soatto 134 584 0 06 Sep 2019
Efficient Automatic Meta Optimization Search for Few-Shot Learning Xinyue Zheng Peng Wang Qigang Wang Zhongchao Shi Feiyu Xu 26 0 0 06 Sep 2019
Meta Learning with Relational Information for Short Sequences Yujia Xie Haoming Jiang Feng Liu T. Zhao H. Zha 86 14 0 04 Sep 2019
Augmented Memory Networks for Streaming-Based Active One-Shot Learning Andreas Kvistad M. Ruocco Eliezer de Souza da Silva Erlend Aune 18 4 0 04 Sep 2019
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs Yin Hua Wen Zhang Wei Zhang Qiang Chen Huajun Chen KELM 148 188 0 04 Sep 2019
Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Bram Wallace B. Hariharan 3DV 67 41 0 03 Sep 2019