Schedule

Advances in Artificial Neural Networks

Seminar an der Universität 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”

Impressum