Machine teaching, LUIS and the democratization of custom AI with Dr. Riham Mansour
Machine learning is a powerful tool that enables conversational agents to provide general question-answer services. But in domains with more specific taxonomies – or simply for requests that are longer and more complicated than “Play…
Interpretability in NLP: Moving Beyond Vision
Deep neural network models have been extremely successful for natural language processing (NLP) applications in recent years, but one complaint they often suffer from is their lack of interpretability. On the other hand, the field…
Efficient and Scalable Deep Learning
In deep learning, researchers keep gaining higher performance by using larger models. However, there are two obstacles blocking the community to build larger models: (1) training larger models is more time-consuming, which slows down model…
Towards Grounded Spatio-Temporal Reasoning
To develop an Artificial Intelligence (AI) system that can understand the world around us, it needs to be able to interpret and reason about the world we see and the language we speak. In recent…
UniLM – Unified Language Model Pre-training
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities.
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Visually Grounded Language Understanding and Generation
In this talk, I will present our latest work on comprehending and generating visually grounded language. First, we will discuss the challenging task of learning visual grounding of language. I will introduce how to pretrain…