Meet P. Vadera

According to our database, Meet P. Vadera authored at least 11 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning.

Meet P. Vadera, Adam D. Cobb, Brian Jalaian, Benjamin M. Marlin

CoRR, 2022

URSABench: A System for Comprehensive Benchmarking of Bayesian Deep Neural Network Models and Inference methods.

Meet P. Vadera, Jinyang Li, Adam D. Cobb, Brian Jalaian, Tarek F. Abdelzaher, Benjamin M. Marlin

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

Uncertainty Quantification Using Query-Based Object Detectors.

Meet P. Vadera, Colin Samplawski, Benjamin M. Marlin

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Post-hoc loss-calibration for Bayesian neural networks.

Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems.

Meet P. Vadera, Benjamin M. Marlin

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

2020

URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks.

Meet P. Vadera, Adam D. Cobb, Brian Jalaian, Benjamin M. Marlin

CoRR, 2020

Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification.

Meet P. Vadera, Satya Narayan Shukla, Brian Jalaian, Benjamin M. Marlin

CoRR, 2020

Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks.

Meet P. Vadera, Brian Jalaian, Benjamin M. Marlin

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems.

Benjamin M. Marlin, Tarek F. Abdelzaher, Gabriela F. Ciocarlie, Adam D. Cobb, Mark Dennison, Brian Jalaian, Lance M. Kaplan, Tiffany Raber, Adrienne Raglin, Piyush K. Sharma, Mani B. Srivastava, Theron Trout, Meet P. Vadera, Maggie B. Wigness

Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

2019

Assessing the Robustness of Bayesian Dark Knowledge to Posterior Uncertainty.

Meet P. Vadera, Benjamin M. Marlin

CoRR, 2019

Poster Abstract: Investigating Fusion-Based Deep Learning Architectures for Smoking Puff Detection.

Benjamin M. Marlin, Meet P. Vadera

Proceedings of the 4th IEEE/ACM International Conference on Connected Health: Applications, 2019