Schedule

Date	Topic	Title	Presenters	Links
15 Apr	Introduction	Introduction	Antoine and Jonas	- slides on formalities
29 Apr	Foundations	Derivations and gradients	Antoine and Jonas	- slides on derivations and gradients
06 May	More foundations	Gradient descent and backpropagation	Antoine and Jonas	- exercise - exercise with solution headlines. - neural network in a spreadsheet - POS tagging results
13 May	LSTMs	Liu et al. (2018): LSTMs Exploit Linguistic Attributes of Data	Sasha, Johannes	- presentation's slides
20 May	LSTMs	Levy et al. (2018): Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum	Saumya, Sara	- prensentation's slides
27 May	Convolutional neural nets	Cireșan et al. (2012): Multi Column Deep Neural Network for Image Classification	Martin K
03 Jun	Attention	Bahdanau et al. (2014): Neural Machine Translation by Jointly Learning to Align and Translate	Christian S, Anna
10 Jun	Holiday	Pentacost
17 Jun	Cancelled
24 Jun	Tree-structured networks	Tai et al. (2015): Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks	Udeh
01 Jul	Tree-structured networks	Vaswani et al. (2018): Attention Is All You Need	Anil	- presentation's slides (ppt)
08 Jul	Tree-structured networks	Dyer et al. (2016): Recurrent neural network grammars	Christian B
08 Jul	Tree-structured networks	Kuncoro et al. (2018): LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better	Atakan
11 Jul	Implementation	Baydin et al. (2018): Automatic Differentiation in Machine Learning: a Survey	Marius