ÚFAL RG in 2016

ÚFAL Reading Group is focused on Machine Learning in NLP.

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

Program

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

Parsing

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