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11/10/2021
An Underexplored Dilemma between Confidence and Calibration in Quantized Neural Networks
Modern convolutional neural networks (CNNs) are known to be overconfiden...
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08/13/2021
Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification
In recent years graph neural network (GNN)-based approaches have become ...
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05/13/2021
Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs
Quantized neural networks (NN) are the common standard to efficiently de...
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02/22/2021
On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks
Bayesian neural networks (BNNs) are making significant progress in many ...
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09/07/2020
Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts
In image classification tasks, the evaluation of models' robustness to i...
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03/04/2019