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Robust Survival Analysis with Adversarial Regularization
v1v2 (latest)

Robust Survival Analysis with Adversarial Regularization

26 December 2023
Owen Howell
Stefano Maxenti
Michael Everett
    AAML
ArXiv (abs)PDFHTMLGithub (3★)

Papers citing "Robust Survival Analysis with Adversarial Regularization"

14 / 14 papers shown
Title
Deep Learning for Survival Analysis: A Review
Deep Learning for Survival Analysis: A Review
S. Wiegrebe
Philipp Kopper
R. Sonabend
Bernd Bischl
Andreas Bender
56
74
0
24 May 2023
Calibration of Neural Networks
Calibration of Neural Networks
Ruslan Vasilev
A. Dýakonov
27
9
0
19 Mar 2023
Bayesian Weapon System Reliability Modeling with Cox-Weibull Neural
  Network
Bayesian Weapon System Reliability Modeling with Cox-Weibull Neural Network
Michael Potter
Benny Cheng
OOD
37
3
0
04 Jan 2023
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split
  Constraints for Complete and Incomplete Neural Network Robustness
  Verification
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Robustness Verification
Shiqi Wang
Huan Zhang
Kaidi Xu
Xue Lin
Suman Jana
Cho-Jui Hsieh
Zico Kolter
114
202
0
11 Mar 2021
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and
  Data Poisoning Attacks
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
Avi Schwarzschild
Micah Goldblum
Arjun Gupta
John P. Dickerson
Tom Goldstein
AAMLTDI
98
164
0
22 Jun 2020
Secure and Robust Machine Learning for Healthcare: A Survey
Secure and Robust Machine Learning for Healthcare: A Survey
A. Qayyum
Junaid Qadir
Muhammad Bilal
Ala I. Al-Fuqaha
AAMLOOD
83
389
0
21 Jan 2020
Towards Stable and Efficient Training of Verifiably Robust Neural
  Networks
Towards Stable and Efficient Training of Verifiably Robust Neural Networks
Huan Zhang
Hongge Chen
Chaowei Xiao
Sven Gowal
Robert Stanforth
Yue Liu
Duane S. Boning
Cho-Jui Hsieh
AAML
82
350
0
14 Jun 2019
Sensitivity and Generalization in Neural Networks: an Empirical Study
Sensitivity and Generalization in Neural Networks: an Empirical Study
Roman Novak
Yasaman Bahri
Daniel A. Abolafia
Jeffrey Pennington
Jascha Narain Sohl-Dickstein
AAML
97
442
0
23 Feb 2018
Machine Learning for Survival Analysis: A Survey
Machine Learning for Survival Analysis: A Survey
Ping Wang
Yan Li
Chandan K. Reddy
CML
150
339
0
15 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
317
12,138
0
19 Jun 2017
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,871
0
14 Jun 2017
NIPS 2016 Tutorial: Generative Adversarial Networks
NIPS 2016 Tutorial: Generative Adversarial Networks
Ian Goodfellow
GAN
175
1,725
0
31 Dec 2016
DeepSurv: Personalized Treatment Recommender System Using A Cox
  Proportional Hazards Deep Neural Network
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman
Uri Shaham
Jonathan Bates
A. Cloninger
Tingting Jiang
Y. Kluger
BDLCMLOOD
496
1,261
0
02 Jun 2016
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
282
19,129
0
20 Dec 2014
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