Browsing by Subject "neural networks"
Now showing items 1-4 of 4
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Cloud-Based Remote Sensing for Conservation
(2023-04)This project aims to develop web-based landcover classification tools for Virunga National Park in Democratic Republic of the Congo, leveraging the rich information provided by Sentinel-2 multi-spectral imagery. The tool ... -
Robustness Analysis and Improvement in Neural Networks and Neuromorphic Computing
(2021)Deep learning and neural networks have great potential while still at risk. The so-called adversarial attacks, which apply small perturbations on input samples to fool models, threaten the reliability of neural networks ... -
Theoretical Understanding of Neural Network Optimization Landscape and Self-Supervised Representation Learning
(2023)Neural networks have achieved remarkable empirical success in various areas. One key factor of their success is their ability to automatically learn useful representations from data. Self-supervised representation learning, ... -
Towards Better Representations with Deep/Bayesian Learning
(2018)Deep learning and Bayesian Learning are two popular research topics in machine learning. They provide the flexible representations in the complementary manner. Therefore, it is desirable to take the best from both fields. ...
