This colloquium speaker series focuses on natural language processing, computer vision, and robotics (generally, on machine/deep learning and artificial intelligence). It features some of the top researchers (from both universities and industry) on these topics. Because these lectures are scheduled based on the availability of a speaker, they may be scheduled at odd times or with little advanced notice. Keep an eye on this schedule for updates.
If you would like to meet a speaker, please contact the corresponding host. Also, please contact one of the relevant faculty below if you are interested in visiting and giving a talk!
Schedule
| Date |
Speaker |
Talk Title |
Notes |
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| Oct. 5, 2016 |
Tianfu Wu
NCSU |
From Statistical Visual Modeling and Computing to Communicative Learning |
Host: Tamara Berg |
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| Oct. 17, 2016 |
Ray Mooney
UT Austin |
Generating Natural-Language Video Descriptions using LSTM Recurrent Neural Networks |
TCSDLS at UNC
Host: Mohit Bansal |
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| Oct 26, 2016 |
Dipanjan Das
Google Research |
Two Case Studies in Semantic Inference |
Host: Mohit Bansal |
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| Nov. 7, 2016 |
Amit Pandey
SoftBank Robotics |
Socially Intelligent Robots and Human Robot Interaction |
Host: Dinesh Manocha |
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| Nov. 17, 2016 |
Sanja Fidler
UToronto |
(Postponed) |
Host: Tamara Berg |
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| Dec. 5, 2016 |
Ramesh Jain
UCI |
Computing Personal Lifestyle for Building Health Models |
TCSDLS at NCSU
NCSU Host: Muninder Singh |
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| Dec. 6, 2016 |
Torsten Sattler
ETH Zurich |
Image-Based Localization at Large and on Small Devices |
Host: Jan-Michael Frahm |
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| Dec. 14, 2016 |
Noah Smith
UWash |
Continuous State Machines and Grammars for Linguistic Structure Prediction |
Host: Mohit Bansal |
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| Feb. 20, 2017 |
Jon Kleinberg
Cornell |
Human Decisions and Machine Predictions |
TCSDLS at Duke
Duke Host: Pankaj Agarwal |
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| Feb. 21, 2017 |
Lillian Lee
Cornell |
“Big data pragmatics!”, or, “Putting computational linguistics in computational social science”, or, if you think these title alternatives could turn people on, turn people off, or otherwise have an effect, this talk might be for you. |
Host: Mohit Bansal |
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| Apr. 19, 2017 |
Carlo Sequin
UC Berkeley |
Connecting Art and Mathematics
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Host: Ming Lin |
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| Apr. 20, 2017 |
Paramveer Dhillon
MIT |
Linear Methods for Big Data |
Host: Mohit Bansal |
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| Apr. 24, 2017 |
Ruzena Bajcsy
UC Berkeley |
Framework for Individualized Dynamical Modeling of Human Motion |
Host: Ming Lin |
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| Oct. 4, 2017 |
Claire Cardie
Cornell |
NLP Topic (TBA) |
Host: Mohit Bansal |
Contacts
NLP and Vision
Mohit Bansal
Alex Berg
Tamara Berg
Jan-Michael Frahm
Robotics and AI
Ron Alterovitz
Dinesh Manocha