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10/25/2021
No News is Good News: A Critique of the One Billion Word Benchmark
The One Billion Word Benchmark is a dataset derived from the WMT 2011 Ne...
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08/04/2021
Mitigating harm in language models with conditional-likelihood filtration
Language models trained on large-scale unfiltered datasets curated from ...
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04/29/2020
Neural Additive Models: Interpretable Machine Learning with Neural Nets
Deep neural networks (DNNs) are powerful black-box predictors that have ...
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02/18/2020
Deflecting Adversarial Attacks
There has been an ongoing cycle where stronger defenses against adversar...
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07/05/2019
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions
Adversarial examples raise questions about whether neural network models...
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02/05/2019
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss
We explore and expand the Soft Nearest Neighbor Loss to measure the enta...
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12/20/2018
SMILER: Saliency Model Implementation Library for Experimental Research
The Saliency Model Implementation Library for Experimental Research (SMI...
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11/16/2018
DARCCC: Detecting Adversaries by Reconstruction from Class Conditional Capsules
We present a simple technique that allows capsule models to detect adver...
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11/27/2017
Distilling a Neural Network Into a Soft Decision Tree
Deep neural networks have proved to be a very effective way to perform c...
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10/26/2017
