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Semi-Supervised and Active Few-Shot Learning with Prototypical Networks

Semi-Supervised and Active Few-Shot Learning with Prototypical Networks

29 November 2017
Rinu Boney
Alexander Ilin
    VLM
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Papers citing "Semi-Supervised and Active Few-Shot Learning with Prototypical Networks"

7 / 7 papers shown
Title
Latent Representation Matters: Human-like Sketches in One-shot Drawing
  Tasks
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks
Victor Boutin
Rishav Mukherji
Aditya Agrawal
Sabine Muzellec
Thomas Fel
Thomas Serre
Rufin VanRullen
DiffM
42
0
0
10 Jun 2024
Efficient Gaussian Process Model on Class-Imbalanced Datasets for
  Generalized Zero-Shot Learning
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning
Changkun Ye
Nick Barnes
L. Petersson
Russell Tsuchida
BDL
SyDa
VLM
37
3
0
11 Oct 2022
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning
  Settings
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings
Aymane Abdali
Vincent Gripon
Lucas Drumetz
Bartosz Bogusławski
39
1
0
23 Sep 2022
On the cross-lingual transferability of multilingual prototypical models
  across NLU tasks
On the cross-lingual transferability of multilingual prototypical models across NLU tasks
Oralie Cattan
Christophe Servan
S. Rosset
36
9
0
19 Jul 2022
Circumpapillary OCT-Focused Hybrid Learning for Glaucoma Grading Using
  Tailored Prototypical Neural Networks
Circumpapillary OCT-Focused Hybrid Learning for Glaucoma Grading Using Tailored Prototypical Neural Networks
Gabriel García
Rocío del Amor
Adrián Colomer
R. Verdú
J. Morales-Sánchez
Valery Naranjo
29
25
0
25 Jun 2021
Hyperspherical Prototype Networks
Hyperspherical Prototype Networks
Pascal Mettes
Elise van der Pol
Cees G. M. Snoek
29
123
0
29 Jan 2019
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
547
11,727
0
09 Mar 2017
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