Preparing for malicious uses of AI
Interpretable machine learning through teaching
Discovering types for entity disambiguation
Requests for Research 2.0
Scaling Kubernetes to 2,500 nodes
Block-sparse GPU kernels
Learning sparse neural networks through L₀ regularization
Interpretable and pedagogical examples
Learning a hierarchy
Generalizing from simulation