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12/14/2022
Interactive Concept Bottleneck Models
Concept bottleneck models (CBMs) (Koh et al. 2020) are interpretable neu...
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08/29/2022
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++
Reliable outlier detection is critical for real-world applications of de...
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06/12/2022
Matching options to tasks using Option-Indexed Hierarchical Reinforcement Learning
The options framework in Hierarchical Reinforcement Learning breaks down...
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08/19/2021
Efficient remedies for outlier detection with variational autoencoders
Deep networks often make confident, yet incorrect, predictions when test...
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05/22/2020
