Minimal Sufficient Representations for Self-interpretable Deep Neural Networks
Minimal Sufficient Representations for Self-interpretable Deep Neural Networks explores A self-interpretable neural network framework that identifies minimal representations to improve prediction accuracy and uncover human-interpretable patterns.. Commercial viability score: 7/10 in Interpretable AI.
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