Algorithms
Get Your Data Together! Algorithms for Managing Data Lakes
Data lakes (e.g., enterprise data catalogs and Open Data portals) are data dumps if users cannot find and utilize the data in them. In this talk, I present two problems in massive, dynamic data lakes:…
Orthogonal Statistical Learning
PAC Battling Bandits in the Plackett-Luce Model
Predicting the ‘holy grail’ of climate forecasting: A new model and a new public dataset
It was crunch time, just as it had been many times before in the preceding weeks. Such is the nature of real-time competition. The yearlong Subseasonal Climate Forecast Rodeo was being sponsored by the Bureau…
Microsoft SEAL open source homomorphic encryption library gets even better for .NET developers!
Since its open-source release on December 3rd 2018, Microsoft SEAL has become one of the world’s most popular homomorphic encryption libraries and has been adopted by security and privacy professionals world-wide in both academia and…
Learning in Data Scarce Visual and Multimodal Applications Using Vectorized and Composable Representations
The vision and learning group at CVT (Center for Vision Technologies) at SRI has developed a framework and a suite of algorithms for machine learning in data scarce conditions. We present our results on zero…
Adversarial Benchmarks for Commonsense Reasoning
Human intelligence involves comprehending new situations through a rich model of the world. Given a single image from a movie, or a paragraph from a novel, we can easily infer people’s intentions, mental states, and…
