Schedule for Week 3 a.k.a. The 2018 Student Conference on Advanced AI for Intelligent Systems!
Hi everybody,
We’re all looking forward to seeing the progress on your papers next week, so the schedule will have fewer lectures from us academics, and more presentations from you student researchers!
There’s three critical things to prepare for next week:
- Those who have yet to do a paper presentation will do so, starting with 4 on Monday (10 minutes each).
- Each group will do a final presentation of their project. You’ll have *15* minutes for this, plus 7.5 minutes for questions and discussion. These will be on Tuesday, Wednesday, and Thursday afternoons.
- Your final paper for the course is due by Friday 2359.
Here’s the Schedule:
Monday 19/11 - Room: Seminarrom Pascal (GA062452)
1415: welcome back + intro for the week + publishing your paper + authorship
1500: break
1515: Charles - Deep Learning with Cloud Computing.
1600: break
1615: Student Papers Presentation 1 (Valer, Sch?yen, Svensby, N?ss)
1700: Pizza
Tuesday 20/11: Room: Datastue Limbo (GA063418), 1600+ Seminarrom C (GA063437)
1415: Enrique
1500: break
1515: Project Reports 1 (2 groups)
1615: break
1630: Student Papers Presentation 2 (Baumann, Becker, Stensrud, Lea)
1715: Discussion and Feedback time (no food today!)
1800: finish
Wednesday 21/11: Room: Seminarrom Python (GA062269)
1415: Bruno - part 1
1500: break
1515: Project Reports 2 (2 groups)
1615: break
1630: Student Papers Presentation 3 (Kozlowski, Burcea, Fredriksen, Slette, Egiazarov)
1715: Discussion and Feedback Time - pizza!
1800: finish
Thursday 22/11: Room: Seminarrom Python (GA062269)
1415: Bruno - part 2
1500: break
1510: Project Reports 3 (3 groups)
1620: break
1630: Project Reports 4 (2 groups)
1715: Discussion and Feedback Time - Sandwiches!
1800: finish
Friday 23/11 Room: Seminarrom Perl (GA062453)
1400-1600: Time for finishing up papers
2359: Final Papers Due
Paper Reading Presentations:
|
Name |
Day |
Order |
|
Rafael Valer |
Monday |
1 |
|
Vemund Sch?yen |
Monday |
2 |
|
Emma Stensby |
Monday |
3 |
|
Torgrim R. N?ss |
Monday |
4 |
|
Synne Baumann |
Tuesday |
1 |
|
Artur Becker |
Tuesday |
2 |
|
Mathias Stensrud |
Tuesday |
3 |
|
Benjamin W. Lea |
Tuesday |
4 |
|
Jakub Kozlowski |
Wednesday |
1 |
|
Radu Burcea |
Wednesday |
2 |
|
Tommy Fredriksen |
Wednesday |
3 |
|
Ole Jakob Slette |
Wednesday |
4 |
|
Alexander Egiazarov |
Wednesday |
5 |
Project Report Presentations:
|
Order |
Day |
Title |
Authors |
|
1 |
Tuesday |
Basic human activity recognition with CNN. |
Farzan M. Noori, Benedikte Wallace |
|
2 |
Tuesday |
It’s cool, but do we need it? A comparison of Deep Q-Networks and Q-Learning using manually constructed features |
Peter Norstein, Nikolai Rene Berg, Emma Stensby |
|
3 |
Wednesday |
Creative Speech-to-Speech Using MDRNN |
Tony Nguyen, Vemund Sch??yen |
|
4 |
Wednesday |
Human action recognition with multiple sensors and stacked generalization. |
Serwa Waisi, Dersim Waisi, Tommy Fredriksen |
|
5 |
Thursday |
Comparison and hyper-parameter adjustment of state-of-the-art reinforcement learning algorithms when applied to different video games |
Benjamin W. Lea, Jakub Kozlowski, Ole Jakob Slette, Filip Stefaniuk |
|
6 |
Thursday |
Sequence-to-sequence music generation |
Synne Baumann, Andrei Faitas, Torgrim R. N??ss |
|
7 |
Thursday |
Autoencoders |
Aline Weber, Johannes Holstad, My Trinh, P??l Primstad |
|
8 |
Thursday |
Convolutional Neural Networks versus Recurrent Neural Networks for Music Generation |
Rafael Valer, Artur Becker, Alexander Egiazarov |
|
9 |
Thursday |
Autoencoders |
Mathias Stensrud, Endre Wollan, Sebastian Fellner, Radu Burcea |