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Graph-based Interpolation of Feature Vectors for Accurate Few-Shot
  Classification

Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification

27 January 2020
Yuqing Hu
Vincent Gripon
S. Pateux
ArXivPDFHTML

Papers citing "Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification"

7 / 7 papers shown
Title
Graphs as Tools to Improve Deep Learning Methods
Graphs as Tools to Improve Deep Learning Methods
Carlos Lassance
Myriam Bontonou
Mounia Hamidouche
Bastien Pasdeloup
Lucas Drumetz
Vincent Gripon
GNN
AI4CE
AAML
47
0
0
08 Oct 2021
Trainable Class Prototypes for Few-Shot Learning
Trainable Class Prototypes for Few-Shot Learning
Jianyi Li
Guizhong Liu
VLM
22
2
0
21 Jun 2021
Iterative label cleaning for transductive and semi-supervised few-shot
  learning
Iterative label cleaning for transductive and semi-supervised few-shot learning
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
42
61
0
14 Dec 2020
Few-shot Decoding of Brain Activation Maps
Few-shot Decoding of Brain Activation Maps
Myriam Bontonou
G. Lioi
Nicolas Farrugia
Vincent Gripon
11
7
0
23 Oct 2020
Graph topology inference benchmarks for machine learning
Graph topology inference benchmarks for machine learning
Carlos Lassance
Vincent Gripon
Gonzalo Mateos
21
4
0
16 Jul 2020
Predicting the Accuracy of a Few-Shot Classifier
Predicting the Accuracy of a Few-Shot Classifier
Myriam Bontonou
Louis Bethune
Vincent Gripon
8
4
0
08 Jul 2020
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
383
11,700
0
09 Mar 2017
1