How to Obtain and Run Light and Efficient Deep Learning Networks
Fast growth of the computation cost associated with training and testing of deep neural networks (DNNs) inspired various acceleration techniques. Reducing topological complexity and simplifying data representation of neural networks are two approaches that popularly…
INFAR: insight extraction from app reviews
Advanced Machine Learning Day 3: Neural Program Synthesis
How do you learn programs? View presentation slides here https://new-cm-edgedigital.pages.dev/en-us/research/wp-content/uploads/2018/12/Program-Synthesis-SLIDES.pdf
Advanced Machine Learning Day 3: Neural Architecture Search
How do you search over architectures? View presentation slides here https://new-cm-edgedigital.pages.dev/en-us/research/wp-content/uploads/2018/12/Neural-Architecture-Search-SLIDES.pdf
Immersive Human-Centered Computational Analytics
Interaction for Immersive Analytics
Causal Effects and Overlap in High-dimensional or Sequential Data
Large data sources such as electronic medical records or insurance claims present opportunities to study causal effects of interventions that are difficult to evaluate through experiments. One example is the management of septic patients in…
Actor-Oriented Databases
Many of today’s interactive server applications are implemented using actor-oriented programming frameworks. Such applications treat actors as a distributed in-memory object-oriented database. However, actor programming frameworks offer few if any database system features, leaving application…