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Ask-n-Learn: Active Learning via Reliable Gradient Representations for Image Classification


Sep 30, 2020
Bindya Venkatesh, Jayaraman J. Thiagarajan


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Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models


May 05, 2020
Jayaraman J. Thiagarajan, Bindya Venkatesh, Rushil Anirudh, Peer-Timo Bremer, Jim Gaffney, Gemma Anderson, Brian Spears


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Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models


Apr 27, 2020
Jayaraman J. Thiagarajan, Prasanna Sattigeri, Deepta Rajan, Bindya Venkatesh


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Calibrate and Prune: Improving Reliability of Lottery Tickets Through Prediction Calibration


Feb 11, 2020
Bindya Venkatesh, Jayaraman J. Thiagarajan, Kowshik Thopalli, Prasanna Sattigeri


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Heteroscedastic Calibration of Uncertainty Estimators in Deep Learning


Oct 30, 2019
Bindya Venkatesh, Jayaraman J. Thiagarajan


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Learn-By-Calibrating: Using Calibration as a Training Objective


Oct 30, 2019
Jayaraman J. Thiagarajan, Bindya Venkatesh, Deepta Rajan


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Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors


Sep 09, 2019
Jayaraman J. Thiagarajan, Bindya Venkatesh, Prasanna Sattigeri, Peer-Timo Bremer


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