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AIHelsinki 12th session

26 May 2017 @ 1:00 pm - 4:00 pm

Welcome to the 12th AIHelsinki event

Friday May 26 at 1pm
Maria 0-1, Lapinlahdenkatu 16, entrance 15C, 2nd floor

Free entrance, seats for 80 people

Please enrol here: https://goo.gl/forms/d66HkfEcAspfAKQk1


Kyunghyun Cho, Assistant Professor, Department of Computer Science, Courant Institute of Mathematical Sciences NYU

Topic: Deep Learning, Where are you going?

There are three axes along which advances in machine learning and deep learning happen. They are (1) network architectures, (2) learning algorithms and (3) spatio-temporal abstraction. In this talk, I will describe a set of research topics I’ve pursued in each of these axes. For network architectures, I will describe how recurrent neural networks, which were largely forgotten during 90s and early 2000s, have evolved over time and have finally become a de facto standard in machine translation. I continue on to discussing various learning paradigms, how they related to each other, and how they are combined in order to build a strong learning system. Along this line, I briefly discuss my latest research on designing a query-efficient imitation learning algorithm for autonomous driving. Lastly, I present my view on what it means to be a higher-level learning system. Under this view each and every end-to-end trainable neural network serves as a module, regardless of how they were trained, and interacts with each other in order to solve a higher-level task. I will describe my latest research on trainable decoding algorithm as a first step toward building such a framework.
Bio: Kyunghyun Cho is an assistant professor of computer science and data science at New York University. He was a postdoctoral fellow at University of Montreal until summer 2015, and received PhD and MSc degrees from Aalto University early 2014. He tries best to find a balance among machine learning, natural language processing and life, but often fails to do so.

Reaktor and YLE

Topic: Reaktor AI (Topic may change)


26 May 2017
1:00 pm - 4:00 pm


Maria 01
Lapinlahdenkatu 16
Helsinki, 00180 Finland


Maria 01

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