Advances in Artificial Neural Networks

Seminar an der Universitšt des Saarlandes, Fachrichtung Informatik, LVst 106020

Seminar schedule:

This schedule is preliminary: Please check it frequently for changes!

No seminar on October 31, 2017 (Reformation Day, 500th Anniversary)

Date

Presentation

Location

17.10.2017

Welcome

DFKI, New Bldg +2.30, R "Turing 1”

24.10.2017

cancelled

 

07.11.2017

cancelled

 

14.11.2017

Convolutional Neural Networks

Guruprasad Hegde

Y. Kao, R. He, K. Huang (2016): Deep Aesthetic Quality Assessment with Semantic Information.

DFKI, New Bldg +2.30, R "Turing 1”

21.11.2017

Generative Adversarial Networks

Dilip Rajkumar

S. Reed et al. (2016): Generative Adversarial Text to Image Synthesis.
A. Radford et al. (2016): Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

DFKI, New Bldg +2.30, R "Turing 1”

28.11.2017

Deep Reinforcement Learning

Mark Schuegraf

D. Silver et al. (2016): Mastering the Game of Go with Deep Neural Networks and Tree search. Nature, 529(7587)

DFKI, New Bldg +2.30, R "Turing 1”

05.12.2017

Deep Reinforcement Learning

Christian Mathieu

T.P. Lillicrap et al. (2016): Continuous Control With Deep Reinforcement Learning. 

DFKI, New Bldg +2.30, R "Turing 1”

12.12.2017

Semantic Deep Learning

Nicklas Linz

L. Ferrone, F.M. Zanzotto (2017): Symbolic, Distributed and Distributional Representations for Natural Language Processing in the Era of Deep Learning: a Survey.
X. Liu et al. (2015): Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval

DFKI, New Bldg +2.30, R "Turing 1”

19.12.2017

Recurrent Neural Networks

Youmna Ismaeil

W. Min et al.  (2017): Deep LSTM-based Goal Recognition Models for Open-World Digital Games.

DFKI, New Bldg +2.30, R "Turing 1”

09.01.2018

Deep Learning for Image Analysis

Vedika Agarwal

V. Badrinarayanan, A. Kendall, R. Cipolla (2017): SegNet: A Deep Convolutional Encoder-Decoder Architecture for Scene Segmentation.
K. He et al. (2016): Deep Residual Learning for Image Recognition.

DFKI, New Bldg +2.30, R "Turing 1”

16.01.2018

Deep Learning for Image Analysis

Abdulla Huseynov

F. Visin et al. (2016): Reseg: A Recurrent Neural Network-based Model for Semantic Segmentation.
F. Visin et al. (2015): Renet: A Recurrent Neural Network based Alternative to Convolutional Networks

DFKI, New Bldg +2.30, R "Turing 1”

23.01.2018

Deep Learning for Image Analysis

Sebastian Cucerca

J. Long, E. Shelhamer, T. Darrell (2015): Fully Convolutional Networks for Semantic Segmentation. .
J. Dai et al. (2016): R-FCN: Object Detection via Region-Based Fully Convolutional Networks.

DFKI, New Bldg +2.30, R "Turing 1”

30.01.2018

Closing

DFKI, New Bldg +2.30, R "Turing 1”