7:00 – 2:30 NASA GEOS

• CHI Play reviews should come back today!
  • Darn – rejected. From the reviews, it looks like we are in the same space, but going a different direction – an alignment problem. Need to read the reviews in detail though.
  • Some discussion with Wayne about GROUP
• More JASSS paper
  • Added some broader thoughts to the conclusion and punched up the subjective/objective map difference
• Start writing proposal for Bruce
  • Simple simulation baseline for model building
  • Develop models for
    • Extrapolating multivariate (family) values, including error conditions
    • Classify errors
    • Explainable model, that has sensor inputs drive the controls of the model that produce outputs that are evaluated against the original inputs using RL
    • “Safer” ML using Sanhedrin approach
• EfficientNet: Improving Accuracy and Efficiency through AutoML and Model Scaling
  • In our ICML 2019 paper, “EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks”, we propose a novel model scaling method that uses a simple yet highly effective compound coefficient to scale up CNNs in a more structured manner. Unlike conventional approaches that arbitrarily scale network dimensions, such as width, depth and resolution, our method uniformly scales each dimension with a fixed set of scaling coefficients. Powered by this novel scaling method and recent progress on AutoML, we have developed a family of models, called EfficientNets, which superpass state-of-the-art accuracy with up to 10x better efficiency (smaller and faster).