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10/01/2020
Universal Effectiveness of High-Depth Circuits in Variational Eigenproblems
We explore the effectiveness of high-depth, noiseless, parameteric quant...
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02/06/2020
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding
Despite strong performance on a variety of tasks, neural sequence models...
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04/24/2019
Differentiable Pruning Method for Neural Networks
Architecture optimization is a promising technique to find an efficient ...
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01/09/2019
How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning
Various forms of representations may arise in the many layers embedded i...
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01/08/2019
Comparing Sample-wise Learnability Across Deep Neural Network Models
Estimating the relative importance of each sample in a training set has ...
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09/18/2017