Are Fewer Labels Possible for Few-shot Learning?

10 December 2020

Lu Yuan

Papers citing "Are Fewer Labels Possible for Few-shot Learning?"

25 / 25 papers shown

Title
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 215 4,070 0 17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 339 6,773 0 13 Jun 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 452 3,422 0 09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 331 18,721 0 13 Feb 2020
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 264 1,204 0 24 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 171 12,065 0 13 Nov 2019
A Baseline for Few-Shot Image Classification Guneet Singh Dhillon Pratik Chaudhari Avinash Ravichandran Stefano Soatto 77 579 0 06 Sep 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 109 1,761 0 08 Apr 2019
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation Antreas Antoniou Amos Storkey SSL 63 75 0 26 Feb 2019
Transductive Zero-Shot Learning with Visual Structure Constraint Bo Liu Dongdong Chen Yan-Ran Li Xingguang Yan Junge Zhang Yizhou Yu Jing Liao 86 85 0 06 Jan 2019
Unsupervised Meta-Learning For Few-Shot Image Classification Siavash Khodadadeh Ladislau Bölöni M. Shah SSL VLM 47 140 0 28 Nov 2018
Unsupervised Learning via Meta-Learning Kyle Hsu Sergey Levine Chelsea Finn SSL OffRL 75 230 0 04 Oct 2018
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 132 1,370 0 16 Jul 2018
Deep Clustering for Unsupervised Learning of Visual Features Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze SSL 88 1,890 0 15 Jul 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 170 3,450 0 05 May 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 65 1,282 0 02 Mar 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 263 4,042 0 16 Nov 2017
Few-Shot Learning with Graph Neural Networks Victor Garcia Satorras Joan Bruna GNN 167 1,239 0 10 Nov 2017
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification P. Helber B. Bischke Andreas Dengel Damian Borth 125 1,811 0 31 Aug 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 277 8,114 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 806 11,866 0 09 Mar 2017
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 68 1,732 0 08 Mar 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 343 7,316 0 13 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.0K 193,426 0 10 Dec 2015
Describing Textures in the Wild Mircea Cimpoi Subhransu Maji Iasonas Kokkinos S. Mohamed Andrea Vedaldi 3DV 102 2,661 0 14 Nov 2013