research
∙
02/20/2020
The Benefits of Pairwise Discriminators for Adversarial Training
Adversarial training methods typically align distributions by solving tw...
share
research
∙
12/20/2019
MLRG Deep Curvature
We present MLRG Deep Curvature suite, a PyTorch-based, open-source packa...
research
∙
07/17/2019
Subspace Inference for Bayesian Deep Learning
Bayesian inference was once a gold standard for learning with neural net...
research
∙
02/07/2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning
We propose SWA-Gaussian (SWAG), a simple, scalable, and general purpose ...
research
∙
03/14/2018
Averaging Weights Leads to Wider Optima and Better Generalization
Deep neural networks are typically trained by optimizing a loss function...
research
∙
02/27/2018
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
The loss functions of deep neural networks are complex and their geometr...
research
∙
02/20/2018
