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Active Learning based on Data Uncertainty and Model Sensitivity

Active Learning based on Data Uncertainty and Model Sensitivity

6 August 2018
Nutan Chen
Alexej Klushyn
A. Paraschos
Djalel Benbouzid
Patrick van der Smagt
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Papers citing "Active Learning based on Data Uncertainty and Model Sensitivity"

4 / 4 papers shown
Title
Pulling back information geometry
Pulling back information geometry
Georgios Arvanitidis
Miguel González Duque
Alison Pouplin
Dimitris Kalatzis
Søren Hauberg
DRL
24
14
0
09 Jun 2021
Policy Manifold Search for Improving Diversity-based Neuroevolution
Policy Manifold Search for Improving Diversity-based Neuroevolution
Nemanja Rakićević
Antoine Cully
Petar Kormushev
29
0
0
15 Dec 2020
Learning Flat Latent Manifolds with VAEs
Learning Flat Latent Manifolds with VAEs
Nutan Chen
Alexej Klushyn
Francesco Ferroni
Justin Bayer
Patrick van der Smagt
DRL
35
39
0
12 Feb 2020
Fast Approximate Geodesics for Deep Generative Models
Fast Approximate Geodesics for Deep Generative Models
Nutan Chen
Francesco Ferroni
Alexej Klushyn
A. Paraschos
Justin Bayer
Patrick van der Smagt
DRL
14
30
0
19 Dec 2018
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