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Meet P. Vadera
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2020 – today
- 2022
- [c7]Meet P. Vadera, Colin Samplawski, Benjamin M. Marlin
:
Uncertainty Quantification Using Query-Based Object Detectors. ECCV Workshops (8) 2022: 78-93 - [c6]Meet P. Vadera, Jinyang Li, Adam D. Cobb, Brian Jalaian, Tarek F. Abdelzaher, Benjamin M. Marlin:
URSABench: A System for Comprehensive Benchmarking of Bayesian Deep Neural Network Models and Inference methods. MLSys 2022 - [i7]Meet P. Vadera, Adam D. Cobb, Brian Jalaian, Benjamin M. Marlin:
Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning. CoRR abs/2202.03770 (2022) - 2021
- [c5]Meet P. Vadera, Benjamin M. Marlin
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems. CogMI 2021: 252-261 - [c4]Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin:
Post-hoc loss-calibration for Bayesian neural networks. UAI 2021: 1403-1412 - [i6]Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin:
Post-hoc loss-calibration for Bayesian neural networks. CoRR abs/2106.06997 (2021) - [i5]Meet P. Vadera, Benjamin M. Marlin:
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems. CoRR abs/2112.01675 (2021) - 2020
- [c3]Benjamin M. Marlin
On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems. CogMI 2020: 82-91 - [c2]Meet P. Vadera, Brian Jalaian, Benjamin M. Marlin:
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks. UAI 2020: 719-728 - [i4]Meet P. Vadera, Satya Narayan Shukla, Brian Jalaian, Benjamin M. Marlin:
Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification. CoRR abs/2002.02842 (2020) - [i3]Meet P. Vadera, Brian Jalaian, Benjamin M. Marlin:
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks. CoRR abs/2005.08110 (2020) - [i2]Meet P. Vadera, Adam D. Cobb, Brian Jalaian, Benjamin M. Marlin:
URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks. CoRR abs/2007.04466 (2020)
2010 – 2019
- 2019
- [c1]Benjamin M. Marlin
Poster Abstract: Investigating Fusion-Based Deep Learning Architectures for Smoking Puff Detection. CHASE 2019: 11-12 - [i1]Meet P. Vadera, Benjamin M. Marlin:
Assessing the Robustness of Bayesian Dark Knowledge to Posterior Uncertainty. CoRR abs/1906.01724 (2019)
Coauthor Index
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