Explainable Visual Reasoning: How MIT Builds Neural Networks that can Explain Themselves

New MIT research attempts to close the gap between state-of-the-art performance and interpretable models in computer vision tasks.

Jesus Rodriguez
Mar 29 · 5 min read
Source: https://datainnovation.org/2019/03/improving-visual-reasoning-in-ai-systems/

Interpretability vs. Accuracy

Transparency by Design Network

Source: https://arxiv.org/abs/1803.05268

Transparency

Source: https://arxiv.org/abs/1803.05268

DataSeries

Imagine the future of data

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