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06/30/2023
Impact of Noise on Calibration and Generalisation of Neural Networks
Noise injection and data augmentation strategies have been effective for...
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04/24/2023
Renate: A Library for Real-World Continual Learning
Continual learning enables the incremental training of machine learning ...
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05/19/2022
Simple Regularisation for Uncertainty-Aware Knowledge Distillation
Considering uncertainty estimation of modern neural networks (NNs) is on...
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12/19/2021
On Causal Inference for Data-free Structured Pruning
Neural networks (NNs) are making a large impact both on research and ind...
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11/24/2021
Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator
Recent advances in algorithm-hardware co-design for deep neural networks...
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05/12/2021
High-Performance FPGA-based Accelerator for Bayesian Neural Networks
Neural networks (NNs) have demonstrated their potential in a wide range ...
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04/14/2021
ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation
Fully convolutional U-shaped neural networks have largely been the domin...
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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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07/12/2020
