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Resolving Spurious Correlations in Causal Models of Environments via Interventions
Causal models could increase interpretability, robustness to distributio...
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Semi-Supervised Class Discovery
One promising approach to dealing with datapoints that are outside of th...
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Analyzing the Role of Model Uncertainty for Electronic Health Records
In medicine, both ethical and monetary costs of incorrect predictions ca...
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Measuring Calibration in Deep Learning
The reliability of a machine learning model's confidence in its predicti...
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Learned optimizers that outperform SGD on wall-clock and test loss
Deep learning has shown that learned functions can dramatically outperfo...
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Learned optimizers that outperform SGD on wall-clock and validation loss
Deep learning has shown that learned functions can dramatically outperfo...
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Jeremy Nixon
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