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10/05/2022
The Calibration Generalization Gap
Calibration is a fundamental property of a good predictive model: it req...
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07/14/2022
Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting
The practical success of overparameterized neural networks has motivated...
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02/04/2020
Iterative Data Programming for Expanding Text Classification Corpora
Real-world text classification tasks often require many labeled training...
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07/29/2019
Multi-Frame Cross-Entropy Training for Convolutional Neural Networks in Speech Recognition
We introduce Multi-Frame Cross-Entropy training (MFCE) for convolutional...
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12/14/2018
Bootstrapping Conversational Agents With Weak Supervision
Many conversational agents in the market today follow a standard bot dev...
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07/10/2018
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
In this paper, we propose a novel Convolutional Neural Network (CNN) arc...
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01/16/2018
