[AI Seminar] AI Seminar sponsored by Apple -- Han Zhao -- April 03

[Adams Wei Yu]

A gentle reminder that the talk will happen tomorrow (Tuesday) noon at NSH
1507.


On Sat, Mar 31, 2018 at 9:19 AM, Adams Wei Yu <weiyu at cs.cmu.edu> wrote:

> Dear faculty and students,
>
> We look forward to seeing you next Tuesday, April 03, at noon in *NSH
> 1507* for AI Seminar sponsored by Apple. To learn more about the seminar
> series, please visit the AI Seminar webpage
> <http://www.cs.cmu.edu/~aiseminar/>.
>
> On Tuesday,  Han Zhao <https://www.cs.cmu.edu/~hzhao1/> will give the
> following talk:
>
> Title:  Multiple Source Domain Adaptation with Adversarial Learning
>
> Abstract:
>
> While domain adaptation has been actively researched, most theoretical
> results and algorithms focus on the single-source-single-target adaptation
> setting. In the first part of the talk, I will discuss new generalization
> bounds for domain adaptation when there are multiple source domains with
> labeled instances and one target domain with unlabeled instances. The
> theory also leads to an efficient learning strategy using adversarial
> neural networks: I will show how to interpret it as learning feature
> representations that are invariant to the multiple domain shifts while
> still being discriminative for the learning task.
>
> In the second part, I will discuss two models for multisource domain
> adaptations: the first model optimizes the worst-case bound, while the
> second model is a smoothed approximation of the first one and optimizes a
> task-adaptive bound. We also demonstrate the effectiveness of both models
> by conducting extensive experiments showing superior adaptation performance
> on three real-world datasets: sentiment analysis, digit classification, and
> vehicle counting.
>
> This talk includes joint work with Shanghang Zhang, Guanhang Wu, Joao
> Costeira, Jose Moura and Geoff Gordon.
>
>
>
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