39 citations · 49 across the 4 of their papers we have counts for
4 papers · 1 filter
Conditional Infilling GANs for Data Augmentation in Mammogram Classification
Eric Wu, Kevin Wu, David Cox +1
Deep learning approaches to breast cancer detection in mammograms have recently shown promising results. However, such models are constrained by the limited size of publicly availa…
Minnorm training: an algorithm for training over-parameterized deep neural networks
Yamini Bansal, Madhu Advani, David D Cox +1
In this work, we propose a new training method for finding minimum weight norm solutions in over-parameterized neural networks (NNs). This method seeks to improve training speed an…
A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception
William Lotter, Gabriel Kreiman, David Cox
While deep neural networks take loose inspiration from neuroscience, it is an open question how seriously to take the analogies between artificial deep networks and biological neur…
Input-Aware Auto-Tuning of Compute-Bound HPC Kernels
Philippe Tillet, David Cox
Efficient implementations of HPC applications for parallel architectures generally rely on external software packages (e.g., BLAS, LAPACK, CUDNN). While these libraries provide hig…