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04/12/2022
InCoder: A Generative Model for Code Infilling and Synthesis
Code is seldom written in a single left-to-right pass and is instead rep...
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08/16/2021
Deep Natural Language Processing for LinkedIn Search
Many search systems work with large amounts of natural language data, e....
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07/30/2021
Deep Natural Language Processing for LinkedIn Search Systems
Many search systems work with large amounts of natural language data, e....
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12/29/2020
Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms
Active learning (AL) algorithms may achieve better performance with fewe...
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08/06/2020
Efficient Neural Query Auto Completion
Query Auto Completion (QAC), as the starting point of information retrie...
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08/06/2020
DeText: A Deep Text Ranking Framework with BERT
Ranking is the most important component in a search system. Mostsearch s...
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06/26/2020
Pre-training via Paraphrasing
We introduce MARGE, a pre-trained sequence-to-sequence model learned wit...
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06/26/2020
Memory-efficient Embedding for Recommendations
Practical large-scale recommender systems usually contain thousands of f...
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11/09/2019
Interactive Classification by Asking Informative Questions
Natural language systems often rely on a single, potentially ambiguous i...
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07/11/2014
Altitude Training: Strong Bounds for Single-Layer Dropout
Dropout training, originally designed for deep neural networks, has been...
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07/04/2013
