Code is seldom written in a single left-to-right pass and is instead
rep...
Many search systems work with large amounts of natural language data, e....
Many search systems work with large amounts of natural language data, e....
Active learning (AL) algorithms may achieve better performance with fewe...
Query Auto Completion (QAC), as the starting point of information retrie...
Ranking is the most important component in a search system. Mostsearch
s...
We introduce MARGE, a pre-trained sequence-to-sequence model learned wit...
Practical large-scale recommender systems usually contain thousands of
f...
Natural language systems often rely on a single, potentially ambiguous i...
Dropout training, originally designed for deep neural networks, has been...
Dropout and other feature noising schemes control overfitting by artific...