ÚFAL RG in 2016

ÚFAL Reading Group is focused on Machine Learning in NLP.

If you are interested sign up to our mailing list.

Regular meetings take place on Tuesday at 14:00 in S1.


Date Who Title Link
04 Oct 2016 Milan Straka Jimmy Lei Ba, Jamie Ryan Kiros, Geoffrey E. Hinton: Layer Normalization https://arxiv.org/abs/1607.06450
11 Oct 2016 Aleš Tamchyna Shiqi Shen et al: Minimum Risk Training for Neural Machine Translation https://arxiv.org/abs/1512.02433
18 Oct 2016 Milan Straka Sam Wiseman, Alexander M. Rush: Sequence-to-Sequence Learning as Beam-Search Optimization https://arxiv.org/abs/1606.02960
25 Oct 2016 Ondřej Plátek Bahdanau et al: An Actor-Critic Algorithm for Sequence Prediction https://arxiv.org/abs/1607.07086
01 Nov 2016 Petr Bělohlávek Dumoulin, Belghazi et al: Adversarially Learned Inference https://arxiv.org/abs/1606.00704
08 Nov 2016 No RG Dean's sports day  
15 Nov 2016 Rudolf Rosa Bojanowski et al: Enriching Word Vectors with Subword Information https://arxiv.org/abs/1607.04606
22 Nov 2016 Martin Popel Jan Chorowski, Michał Zapotoczny, Paweł Rychlikowski: Read, Tag, and Parse All at Once, or Fully-neural Dependency Parsing https://arxiv.org/abs/1609.03441
29 Nov 2016 Vojtěch Hudeček Adam Santoro et al: One-shot Learning with Memory-Augmented Neural Networks https://arxiv.org/abs/1605.06065
06 Dec 2016 David Mareček Omer Levy, Anders Søgaard, Yoav Goldberg: Reconsidering Cross-lingual Word Embeddings https://arxiv.org/abs/1608.05426
13 Dec 2016 Jindřich Libovický Jiasen Lu, Caiming Xiong, Devi Parikh and Richard Socher: Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning https://arxiv.org/abs/1612.01887
20 Dec 2016 Dušan Variš Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber: Training Very Deep Networks https://arxiv.org/abs/1507.06228
03 Jan 2017 No RG You can visit a talk at 1pm in SU1: Memory Networks for Question Answering by Jakub Hajič  
10 Jan 2017 Milan Straka Diederik P Kingma, Max Welling: Auto-Encoding Variational Bayes https://arxiv.org/abs/1312.6114
    Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, Andrew M. Dai, Rafal Jozefowicz, Samy Bengio: Generating Sentences from a Continuous Space https://arxiv.org/abs/1511.06349

Papers for Inspiration

You can choose any paper you find interesting, but if you would like some inspiration, you can look here:

Word Embeddings


Neural Machine Translation

Language Correction

  • Ziang Xie, Anand Avati, Naveen Arivazhagan, Dan Jurafsky, Andrew Y. Ng: Neural Language Correction with Character-Based Attention. https://arxiv.org/abs/1603.09727

Language Modelling

Image Labelling

  • Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan: Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge. https://arxiv.org/abs/1609.06647

Network Architectures

Structured Prediction

  • Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins: Globally Normalized Transition-Based Neural Networks. https://arxiv.org/abs/1603.06042
  • Sam Wiseman, Alexander M. Rush: Sequence-to-Sequence Learning as Beam-Search Optimization. https://arxiv.org/abs/1606.02960

Variational Autoencoders

Speech Synthesis

  • Aaron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, Koray Kavukcuoglu: WaveNet: A Generative Model for Raw Audio. https://arxiv.org/abs/1609.03499