39 citations · 115 across the 15 of their papers we have counts for
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cs.CL2020★ 4 cited
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
Explaining the predictions of AI models is paramount in safety-critical applications, such as in legal or medical domains. One form of explanation for a prediction is an extractive…
cs.CL2020★ 2 cited
Multi-type Disentanglement without Adversarial Training
Lei Sha, Thomas Lukasiewicz
Controlling the style of natural language by disentangling the latent space is an important step towards interpretable machine learning. After the latent space is disentangled, the…