An Optimization-Based Theory of Mind for Human-Robot Interaction
Generating robot action for interaction with people is not scalable without learning, but learning from scratch has too high sample complexity. Inductive bias becomes critical, but what is the right inductive bias when it comes…
Project Academic Knowledge
< Back to Cognitive Research Technologies main page Tap into the wealth of academic content in the Microsoft Academic Graph using the Academic Knowledge API: Interpret Interprets a natural language user query string. Returns annotated…
AI for Earth with Dr. Lucas Joppa
Episode 72, April 17, 2019 – We hear a lot these days about “AI for good” and the efforts of many companies to harness the power of artificial intelligence to solve some of our biggest…
Natural Language Interface for Data Analytics
In this project, we try to research and develop a conversation technology for data analytics scenarios. By using our technology, given a relational database or a data table, a user can explore the data table…
Less pain, more gain: A simple method for VAE training with less of that KL-vanishing agony
There is a growing interest in exploring the use of variational auto-encoders (VAE), a deep latent variable model, for text generation. Compared to the standard RNN-based language model that generates sentences one word at a…