[AI Seminar] AI Seminar sponsored by Apple -- Richard Zemel

[Han Zhao]

Dear faculty and students:

We look forward to seeing you *next Monday, Apr. 22nd*, in the morning *10:
30 am* at *GHC 6115 (note the special time and location) *for our AI
Seminar sponsored
by Apple. To learn more about the seminar series, please visit the website
<http://www.cs.cmu.edu/~aiseminar/>.
On Monday, Prof. Richard Zemel will give the following talk:
*Title: Controlling the Black Box: Learning Manipulable and Fair
Representations*

*Abstract: *Machine learning models, and more specifically deep neural
networks, are achieving state-of-the-art performance on difficult
pattern-recognition tasks such as object recognition, speech recognition,
drug discovery, and more. However, deep networks are notoriously difficult
to understand, both in how they arrive at and how to affect their
responses. As these systems become more prevalent in real-world
applications it is essential to allow users to exert more control over the
learning system. In particular a wide range of applications can be
facilitated by exerting some structure over the learned representations, to
enable users to manipulate, interpret, and in some cases obfuscate the
representations. In this talk I will discuss recent work that makes some
steps towards these goals, allowing users to interact with and control
representations.

*Bio: *Richard Zemel is a Professor of Computer Science and Industrial
Research Chair in Machine Learning at the University of Toronto, and a
co-founder and the Research Director at the Vector Institute for Artificial
Intelligence.  Prior to that he was on the faculty at the University of
Arizona, and a Postdoctoral Fellow at the Salk Institute and at CMU. He
received the B.Sc. in History & Science from Harvard, and a Ph.D. in
Computer Science from the University of Toronto. His awards and honors
include a Young Investigator Award from the ONR and a US Presidential
Scholar award.  He is a Senior Fellow of the Canadian Institute for
Advanced Research, an NVIDIA Pioneer of AI, and a member of the NeurIPS
Advisory Board.
-- 

*Han ZhaoMachine Learning Department*


*School of Computer ScienceCarnegie Mellon UniversityMobile: +1-*
*412-652-4404*
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