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Inductive Biases for Object-Centric Representations in the Presence of
  Complex Textures

Inductive Biases for Object-Centric Representations in the Presence of Complex Textures

18 April 2022
Samuele Papa
Ole Winther
Andrea Dittadi
    OCL
ArXivPDFHTML

Papers citing "Inductive Biases for Object-Centric Representations in the Presence of Complex Textures"

5 / 5 papers shown
Title
Explicitly Disentangled Representations in Object-Centric Learning
Explicitly Disentangled Representations in Object-Centric Learning
Riccardo Majellaro
Jonathan Collu
Aske Plaat
Thomas M. Moerland
CoGe
OOD
OCL
45
1
0
18 Jan 2024
Compositional Multi-Object Reinforcement Learning with Linear Relation
  Networks
Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
Davide Mambelli
Frederik Trauble
Stefan Bauer
Bernhard Schölkopf
Francesco Locatello
OCL
25
17
0
31 Jan 2022
The Role of Pretrained Representations for the OOD Generalization of
  Reinforcement Learning Agents
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents
Andrea Dittadi
Frederik Trauble
M. Wuthrich
Felix Widmaier
Peter V. Gehler
Ole Winther
Francesco Locatello
Olivier Bachem
Bernhard Schölkopf
Stefan Bauer
OOD
25
15
0
12 Jul 2021
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
224
252
0
09 Dec 2020
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
255
1,394
0
01 Dec 2016
1