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Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction

Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction

Masha Itkina
Mykel J. Kochenderfer
ArXiv (abs)PDFHTMLGithub (18★)

Papers citing "Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction"

6 / 56 papers shown
Title
Posterior calibration and exploratory analysis for natural language processing models
Posterior calibration and exploratory analysis for natural language processing models
Khanh Nguyen
Brendan O'Connor
162
140
0
21 Aug 2015
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
UQCVBDL
891
9,364
0
06 Jun 2015
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRLBDL
322
4,198
0
21 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,433
0
22 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
174
3,275
0
05 Dec 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
464
16,922
0
20 Dec 2013