Combinatorial features are essential for the success of many commercial models. Manually
crafting these features usually comes with high cost due to the variety, volume and velocity …

In light of the recent breakthroughs in automatic machine translation systems, we propose a
novel approach that we term as" Face-to-Face Translation". As today's digital communication …

Collaborative filtering (CF) is a common recommendation approach that relies on user-item
ratings. However, the natural sparsity of user-item rating data can be problematic in many …

Relational databases are the de facto standard for storing and querying structured data, and
extracting insights from structured data requires advanced analytics. Deep neural networks …

Deep Neural Networks have been shown to be vulnerable to various kinds of adversarial
perturbations. In addition to widely studied additive noise based perturbations, adversarial …

Motivated by the attention mechanism of the human visual system and recent developments
in the field of machine translation, we introduce our attention-based and recurrent sequence …

This paper aims to advance the performance of industrial ASR systems by exploring a more
effective method for N-best rescoring, a critical step that greatly affects the final recognition …