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CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report)


Jul 24, 2021
Yinjun Wu, James Weimer, Susan B. Davidson

* Accepted by VLDB 2021 

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Chef: a cheap and fast pipeline for iteratively cleaning label uncertainties


Jul 19, 2021
Yinjun Wu, James Weimer, Susan B. Davidson


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Robust Learning via Persistency of Excitation


Jun 11, 2021
Kaustubh Sridhar, Oleg Sokolsky, Insup Lee, James Weimer


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ModelGuard: Runtime Validation of Lipschitz-continuous Models


Apr 30, 2021
Taylor J. Carpenter, Radoslav Ivanov, Insup Lee, James Weimer


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Confidence Calibration with Bounded Error Using Transformations


Feb 25, 2021
Sooyong Jang, Radoslav Ivanov, Insup lee, James Weimer


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Improving Classifier Confidence using Lossy Label-Invariant Transformations


Nov 09, 2020
Sooyong Jang, Insup Lee, James Weimer


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Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation


Feb 29, 2020
Sangdon Park, Osbert Bastani, James Weimer, Insup Lee

* Accepted to AISTATS 2020 

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VisionGuard: Runtime Detection of Adversarial Inputs to Perception Systems


Feb 23, 2020
Yiannis Kantaros, Taylor Carpenter, Sangdon Park, Radoslav Ivanov, Sooyong Jang, Insup Lee, James Weimer


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Case Study: Verifying the Safety of an Autonomous Racing Car with a Neural Network Controller


Oct 24, 2019
Radoslav Ivanov, Taylor J. Carpenter, James Weimer, Rajeev Alur, George J. Pappas, Insup Lee


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Self-Driving Vehicle Verification Towards a Benchmark


Jun 20, 2018
Nima Roohi, Ramneet Kaur, James Weimer, Oleg Sokolsky, Insup Lee

* 7 pages 

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Resilient Linear Classification: An Approach to Deal with Attacks on Training Data


Aug 15, 2017
Sangdon Park, James Weimer, Insup Lee

* Accepted as a conference paper at ICCPS17 

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