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Found 3 papers, 1 papers with code
Forward Learning for Gradient-based Black-box Saliency Map Generation
Gradient-based saliency maps are widely used to explain deep neural network decisions.
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers
Discovering biased subgroups is the key to understanding models' failure modes and further improving models' robustness.
cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations
However, when these novel methods are used to handle high-dimensional multivariate forecasting problems, their performance is highly restricted by a practical training time and a reasonable GPU memory configuration.
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