Bindya Venkatesh

According to our database1, Bindya Venkatesh authored at least 10 papers between 2019 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

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

Improving Reliability of Clinical Models Using Prediction Calibration.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

Learn-By-Calibrating: Using Calibration As A Training Objective.
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
Heteroscedastic Calibration of Uncertainty Estimators in Deep Learning.
CoRR, 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


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