Towards Reliability in Deep Learning Systems

Posted by Dustin Tran and Balaji Lakshminarayanan, Research Scientists, Google Research

Deep learning models have made impressive progress in vision, language, and other modalities, particularly with the rise of large-scale pre-training. Such models are most accurate when applied to test data drawn from the same distribution as their training set. However, in practice, the data confronting models in real-world settings rarely match the training distribution. In addition, the models may not be well-suited for applications where predictive performance is only …

deep learning learning reliability systems