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im really happy to be here today to talk to you guys about something that im very excited and interested in because its my research area so its always fun to give a talk about your own research so the topic of my talk is taming data set bias via domain adaptation um and i believe youve already had some material in this course talking about sort of bias issues and perhaps fairness so this will dovetail with that pretty well i think okay so um i dont probably dont need to tell you guys or spend a lot of time on how successful deep learning has been for various applications here ill be focusing mostly on computer vision applications because thats my primary research area so we know that in computer vision deep learning has gotten to the point where we can detect different objects pretty accurately in a variety of scenes and we can even detect objects that are not real people or could be even cartoon characters as long as we have training data we can train models to do this and w