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Deep Neural Networks Tend To Extrapolate Predictably

Deep Neural Networks Tend To Extrapolate Predictably

2 October 2023
Katie Kang
Amrith Rajagopal Setlur
Claire Tomlin
Sergey Levine
ArXivPDFHTML

Papers citing "Deep Neural Networks Tend To Extrapolate Predictably"

5 / 5 papers shown
Title
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a
  Polynomial Net Study
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
Yongtao Wu
Zhenyu Zhu
Fanghui Liu
Grigorios G. Chrysos
V. Cevher
28
10
0
16 Sep 2022
Learning in High Dimension Always Amounts to Extrapolation
Learning in High Dimension Always Amounts to Extrapolation
Randall Balestriero
J. Pesenti
Yann LeCun
33
102
0
18 Oct 2021
From Local Structures to Size Generalization in Graph Neural Networks
From Local Structures to Size Generalization in Graph Neural Networks
Gilad Yehudai
Ethan Fetaya
E. Meirom
Gal Chechik
Haggai Maron
GNN
AI4CE
142
123
0
17 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
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
247
9,109
0
06 Jun 2015
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