121 citations · 413 across the 32 of their papers we have counts for
3 papers · 1 filter
Zero-shot Transfer Learning for Semantic Parsing
Javid Dadashkarimi, Alexander Fabbri, Sekhar Tatikonda +1
While neural networks have shown impressive performance on large datasets, applying these models to tasks where little data is available remains a challenging problem. In this pape…
Sequence to Logic with Copy and Cache
Javid Dadashkarimi, Sekhar Tatikonda
Generating logical form equivalents of human language is a fresh way to employ neural architectures where long short-term memory effectively captures dependencies in both encoder a…
Identifiability in Gaussian Graphical Models
De Wen Soh, Sekhar Tatikonda
In high-dimensional graph learning problems, some topological properties of the graph, such as bounded node degree or tree structure, are typically assumed to hold so that the samp…