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X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events

X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events

21 August 2023
Bo Dai
Linge Wang
Baoxiong Jia
Zeyu Zhang
Song-Chun Zhu
Chi Zhang
Yixin Zhu
ArXivPDFHTML

Papers citing "X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events"

5 / 5 papers shown
Title
Neural-Symbolic Recursive Machine for Systematic Generalization
Neural-Symbolic Recursive Machine for Systematic Generalization
Qing Li
Yixin Zhu
Yitao Liang
Ying Nian Wu
Song-Chun Zhu
Siyuan Huang
NAI
21
9
0
04 Oct 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
Disentangling Physical Dynamics from Unknown Factors for Unsupervised
  Video Prediction
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
Vincent Le Guen
Nicolas Thome
AI4CE
PINN
78
284
0
03 Mar 2020
Learning to Decompose and Disentangle Representations for Video
  Prediction
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh
Bingbin Liu
De-An Huang
Li Fei-Fei
Juan Carlos Niebles
DRL
124
302
0
11 Jun 2018
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
226
438
0
01 Dec 2016
1