No
Yes
View More
View Less
Working...
Close
OK
Cancel
Confirm
System Message
Delete
Schedule
An unknown error has occurred and your request could not be completed. Please contact support.
Scheduled
Wait Listed
Personal Calendar
Speaking
Conference Event
Meeting
Interest
Schedule TBD
Conflict Found
This session is already scheduled at another time. Would you like to...
Loading...
Please enter a maximum of {0} characters.
Please enter a maximum of {0} words.
must be 50 characters or less.
must be 40 characters or less.
Session Summary
We were unable to load the map image.
This has not yet been assigned to a map.
Search Catalog
Reply
Replies ()
Search
New Post
Microblog
Microblog Thread
Post Reply
Post
Your session timed out.
This web page is not optimized for viewing on a mobile device. Visit this site in a desktop browser to access the full set of features.
2017 GTC San Jose

S7719 - Recent Advances in Deep Learning: Learning Unsupervised and Multimodal Models

Session Speakers
Session Description

Building intelligent systems that are capable of extracting meaningful representations from high-dimensional data lies at the core of solving many artificial intelligence tasks, including visual object recognition, information retrieval, speech perception, and language understanding. We'll first introduce a broad class of deep learning models and show that they can learn useful hierarchical representations from large volumes of high-dimensional data with applications in information retrieval, object recognition, and speech perception. We'll next introduce deep models that are capable of extracting a unified representation that fuses together multiple data modalities. In particular, we'll introduce models that can generate natural language descriptions (captions) of images, as well as generate images from captions using attention mechanism. Finally, we'll discuss an approach for unsupervised learning of a generic, distributed sentence encoder, as well as introduce multiplicative and fine-grained gating mechanisms with application to question/answering systems and reading comprehension.


Additional Session Information
All
Talk
Algorithms Deep Learning and AI
Higher Education / Research
50 minutes
Session Schedule