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Graph convolutional networks for learning with few clean and many noisy
  labels

Graph convolutional networks for learning with few clean and many noisy labels

1 October 2019
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Ondřej Chum
Cordelia Schmid
    SSL
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Papers citing "Graph convolutional networks for learning with few clean and many noisy labels"

16 / 16 papers shown
Title
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
264
671
0
07 Jun 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
170
3,452
0
05 May 2018
Dynamic Few-Shot Visual Learning without Forgetting
Dynamic Few-Shot Visual Learning without Forgetting
Spyros Gidaris
N. Komodakis
VLM
59
1,130
0
25 Apr 2018
Learning to Reweight Examples for Robust Deep Learning
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren
Wenyuan Zeng
Binh Yang
R. Urtasun
OOD
NoLa
143
1,426
0
24 Mar 2018
Meta-Learning for Semi-Supervised Few-Shot Classification
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
68
1,283
0
02 Mar 2018
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
167
1,239
0
10 Nov 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
823
11,899
0
09 Mar 2017
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
802
3,281
0
24 Nov 2016
Efficient Diffusion on Region Manifolds: Recovering Small Objects with
  Compact CNN Representations
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Teddy Furon
Ondřej Chum
DiffM
65
181
0
16 Nov 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
330
8,116
0
13 Aug 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
342
7,650
0
30 Jun 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
365
7,321
0
13 Jun 2016
Learning Visual Features from Large Weakly Supervised Data
Learning Visual Features from Large Weakly Supervised Data
Armand Joulin
Laurens van der Maaten
Allan Jabri
Nicolas Vasilache
SSL
105
406
0
06 Nov 2015
Deep Convolutional Networks on Graph-Structured Data
Deep Convolutional Networks on Graph-Structured Data
Mikael Henaff
Joan Bruna
Yann LeCun
GNN
155
1,587
0
16 Jun 2015
Unsupervised Learning of Visual Representations using Videos
Unsupervised Learning of Visual Representations using Videos
Xinyu Wang
Abhinav Gupta
SSL
90
232
0
04 May 2015
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
220
4,874
0
21 Dec 2013
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