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09/07/2023
DBsurf: A Discrepancy Based Method for Discrete Stochastic Gradient Estimation
Computing gradients of an expectation with respect to the distributional...
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04/23/2023
Efficient Training of Deep Equilibrium Models
Deep equilibrium models (DEQs) have proven to be very powerful for learn...
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12/13/2022
A Statistical Model for Predicting Generalization in Few-Shot Classification
The estimation of the generalization error of classifiers often relies o...
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03/24/2021
DNN Quantization with Attention
Low-bit quantization of network weights and activations can drastically ...
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11/24/2020
Efficient Sampling for Predictor-Based Neural Architecture Search
Recently, predictor-based algorithms emerged as a promising approach for...
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05/27/2019
Differentiable Quantization of Deep Neural Networks
We propose differentiable quantization (DQ) for efficient deep neural ne...
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10/23/2018
Deep Neural Network inference with reduced word length
Deep neural networks (DNN) are powerful models for many pattern recognit...
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06/25/2018
A Machine-learning framework for automatic reference-free quality assessment in MRI
Magnetic resonance (MR) imaging offers a wide variety of imaging techniq...
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02/20/2018