Bindya Venkatesh
According to our database1,
Bindya Venkatesh
authored at least 10 papers
between 2019 and 2020.
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Bibliography
2020
Ask-n-Learn: Active Learning via Reliable Gradient Representations for Image Classification.
CoRR, 2020
Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models.
CoRR, 2020
Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models.
CoRR, 2020
Calibrate and Prune: Improving Reliability of Lottery Tickets Through Prediction Calibration.
CoRR, 2020
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Use of Hierarchical Dirichlet Processes to Integrate Dependent Observations From Multiple Disparate Sensors for Tracking.
Proceedings of the 22th International Conference on Information Fusion, 2019
Tracking Multiple Objects with Multimodal Dependent Measurements: Bayesian Nonparametric Modeling.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019