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07/05/2023
Set Learning for Accurate and Calibrated Models
Model overconfidence and poor calibration are common in machine learning...
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06/07/2023
Improving neural network representations using human similarity judgments
Deep neural networks have reached human-level performance on many comput...
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11/02/2022
Human alignment of neural network representations
Today's computer vision models achieve human or near-human level perform...
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05/02/2022
VICE: Variational Interpretable Concept Embeddings
A central goal in the cognitive sciences is the development of numerical...
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10/07/2020
Unsupervised Evaluation for Question Answering with Transformers
It is challenging to automatically evaluate the answer of a QA model at ...
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06/09/2020
Human brain activity for machine attention
Cognitively inspired NLP leverages human-derived data to teach machines ...
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06/02/2020