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cs.LG2022
Estimating Regression Predictive Distributions with Sample Networks
Ali Harakeh, Jordan Hu, Naiqing Guan +2
Estimating the uncertainty in deep neural network predictions is crucial for many real-world applications. A common approach to model uncertainty is to choose a parametric distribu…
cs.LG2018
Leveraging Pre-Trained 3D Object Detection Models For Fast Ground Truth Generation
Jungwook Lee, Sean Walsh, Ali Harakeh +1
Training 3D object detectors for autonomous driving has been limited to small datasets due to the effort required to generate annotations. Reducing both task complexity and the amo…