-
Resolving Spurious Correlations in Causal Models of Environments via Interventions
Causal models could increase interpretability, robustness to distributio...
02/12/2020 ∙ by Sergei Volodin, et al. ∙
0
∙
share
read it
-
Semi-Supervised Class Discovery
One promising approach to dealing with datapoints that are outside of th...
02/10/2020 ∙ by Jeremy Nixon, et al. ∙
0
∙
share
read it
-
Analyzing the Role of Model Uncertainty for Electronic Health Records
In medicine, both ethical and monetary costs of incorrect predictions ca...
06/10/2019 ∙ by Michael W. Dusenberry, et al. ∙
3
∙
share
read it
-
Measuring Calibration in Deep Learning
The reliability of a machine learning model's confidence in its predicti...
04/02/2019 ∙ by Jeremy Nixon, et al. ∙
10
∙
share
read it
-
Learned optimizers that outperform SGD on wall-clock and test loss
Deep learning has shown that learned functions can dramatically outperfo...
10/24/2018 ∙ by Luke Metz, et al. ∙
8
∙
share
read it
-
Learned optimizers that outperform SGD on wall-clock and validation loss
Deep learning has shown that learned functions can dramatically outperfo...
10/24/2018 ∙ by Luke Metz, et al. ∙
2
∙
share
read it
