Bindya Venkatesh

12 papers A* 1C 1Misc 2Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	Ask-n-Learn: Active Learning via Reliable Gradient Representations for Image Classification. CoRR Bindya Venkatesh, Jayaraman J. Thiagarajan
2020	A*	`conf`	Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors. AAAI Jayaraman J. Thiagarajan, Bindya Venkatesh, Prasanna Sattigeri, Peer-Timo Bremer
2020	J	`jnl`	Calibrate and Prune: Improving Reliability of Lottery Tickets Through Prediction Calibration. CoRR Bindya Venkatesh, Jayaraman J. Thiagarajan, Kowshik Thopalli, Prasanna Sattigeri
2020	J	`jnl`	Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models. CoRR Jayaraman J. Thiagarajan, Prasanna Sattigeri, Deepta Rajan, Bindya Venkatesh
2020	J	`jnl`	Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models. CoRR Jayaraman J. Thiagarajan, Bindya Venkatesh, Rushil Anirudh, Peer-Timo Bremer, Jim Gaffney, Gemma Anderson, Brian K. Spears
2020	—	`conf`	Improving Reliability of Clinical Models Using Prediction Calibration. UNSURE/GRAIL@MICCAI Jayaraman J. Thiagarajan, Bindya Venkatesh, Deepta Rajan, Prasanna Sattigeri
2020	Misc	`conf`	Learn-By-Calibrating: Using Calibration As A Training Objective. ICASSP Jayaraman J. Thiagarajan, Bindya Venkatesh, Deepta Rajan
2019	J	`jnl`	Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors. CoRR Jayaraman J. Thiagarajan, Bindya Venkatesh, Prasanna Sattigeri, Peer-Timo Bremer
2019	J	`jnl`	Heteroscedastic Calibration of Uncertainty Estimators in Deep Learning. CoRR Bindya Venkatesh, Jayaraman J. Thiagarajan
2019	J	`jnl`	Learn-By-Calibrating: Using Calibration as a Training Objective. CoRR Jayaraman J. Thiagarajan, Bindya Venkatesh, Deepta Rajan
2019	Misc	`conf`	Tracking Multiple Objects with Multimodal Dependent Measurements: Bayesian Nonparametric Modeling. ACSSC Bahman Moraffah, Cesar Brito, Bindya Venkatesh, Antonia Papandreou-Suppappola
2019	C	`conf`	Use of Hierarchical Dirichlet Processes to Integrate Dependent Observations From Multiple Disparate Sensors for Tracking. FUSION Bahman Moraffah, Cesar Brito, Bindya Venkatesh, Antonia Papandreou-Suppappola