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Imagine the Unseen World: A Benchmark for Systematic Generalization in
  Visual World Models

Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models

15 November 2023
Yeongbin Kim
Gautam Singh
Junyeong Park
Çağlar Gülçehre
Sungjin Ahn
    OCL
    VLM
ArXivPDFHTML

Papers citing "Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models"

8 / 8 papers shown
Title
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric
  Models
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models
Ziyi Wu
Nikita Dvornik
Klaus Greff
Thomas Kipf
Animesh Garg
OCL
BDL
59
87
0
12 Oct 2022
Compositional Generalization in Unsupervised Compositional
  Representation Learning: A Study on Disentanglement and Emergent Language
Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language
Zhenlin Xu
Marc Niethammer
Colin Raffel
CoGe
OOD
OCL
DRL
39
38
0
02 Oct 2022
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
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
COVR: A test-bed for Visually Grounded Compositional Generalization with
  real images
COVR: A test-bed for Visually Grounded Compositional Generalization with real images
Ben Bogin
Shivanshu Gupta
Matt Gardner
Jonathan Berant
CoGe
29
29
0
22 Sep 2021
ReaSCAN: Compositional Reasoning in Language Grounding
ReaSCAN: Compositional Reasoning in Language Grounding
Zhengxuan Wu
Elisa Kreiss
Desmond C. Ong
Christopher Potts
CoGe
LRM
21
22
0
18 Sep 2021
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
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