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Found 4 papers, 2 papers with code
Explainable Bayesian Optimization
In industry, Bayesian optimization (BO) is widely applied in the human-AI collaborative parameter tuning of cyber-physical systems.
An Empirical Analysis of Fairness Notions under Differential Privacy
Recent works have shown that selecting an optimal model architecture suited to the differential privacy setting is necessary to achieve the best possible utility for a given privacy budget using differentially private stochastic gradient descent (DP-SGD)(Tramer and Boneh 2020; Cheng et al. 2022).
Generalizing Adversarial Explanations with Grad-CAM
The drawback of this method is that it cannot be used to generalize CNN behaviour.
SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image Classification
In this article, we propose SpectralNET, a wavelet CNN, which is a variation of 2D CNN for multi-resolution HSI classification.
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