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Information-Theoretic Odometry Learning

Information-Theoretic Odometry Learning

11 March 2022
Sen Zhang
Jing Zhang
Dacheng Tao
ArXivPDFHTML

Papers citing "Information-Theoretic Odometry Learning"

4 / 4 papers shown
Title
InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic
  Reward Modeling
InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling
Yuchun Miao
Sen Zhang
Liang Ding
Rong Bao
Lefei Zhang
Dacheng Tao
31
12
0
14 Feb 2024
Event-based Simultaneous Localization and Mapping: A Comprehensive
  Survey
Event-based Simultaneous Localization and Mapping: A Comprehensive Survey
Kunping Huang
Sen Zhang
Jing Zhang
Dacheng Tao
37
27
0
19 Apr 2023
Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular
  Depth Estimation by Integrating IMU Motion Dynamics
Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics
Sen Zhang
Jing Zhang
Dacheng Tao
MDE
35
30
0
11 Jul 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1