Deep Learning Group

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Overview

The Deep Learning group’s mission is to advance the state-of-the-art on deep learning and its application to natural language processing, computer vision, multi-modal intelligence, and for making progress on conversational AI. Our research interests are:

  • Neural language modeling for natural language understanding and generation. Some ongoing projects are MT-DNN, UniLM, question-answering, long text generation, etc.
  • Neural symbolic computing. Some ongoing projects are relational encoding using Tensor-Product Representations, text-to-code, etc.
  • Vision-language grounding and understanding. Some ongoing projects are vision-language pre-training, vision language navigation, image editing and generation, image commenting and captioning, etc.
  • Conversational AI. Some ongoing projects are conversation learner which enables you to build task-oriented dialog system via machine teaching, ConvLab which is an open-source multi-domain dialog system platform, and response generation for social bots such as Microsoft XiaoIce, etc.

 

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