Institute of Computer Science
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  2. 2020/21 spring
  3. Transformers (MTAT.05.066)
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Transformers 2020/21 spring

  • Main
  • Lectures
  • Labs
  • Homeworks
  • Projects
  • Seminar

Lectures

  • Given by Mark, fishel@ut.ee
  • Tuesdays at 10:15-12:00
  • Open to anyone interested
  • Online in Zoom (Meeting ID: 988 8168 4147, passcode: ati)
    • hopefully in March or later we can switch to lectures on the spot, but for the time being they will be purely online :-(
  • Recordings and slides available after the lecture (see table below)
1.Feb 9Motivation and overview (slides, video)
2.Feb 16Language models (slides, video)
Sequential vs masked LM, probabilistic / neural, fixed / contextual embeddings
3.Feb 23Attention (slides, video)
Encoder-decoder sequence-to-sequence, attention mechanism
4.Mar 2Self-attention (slides, video)
Transformer as introduced for NMT/sequence-to-sequence, incl. self-attention,
multiple attention heads and layers, discussion of why it works
5.Mar 9Transformers for NLP (slides)
6.Mar 16Transformers for images and sound (slides, video)
7.Mar 23no lecture
8.Mar 30Transformers for bio and health data, time series (slides, video)
9.Apr 6Output generation and evaluation (slides, video)
10.Apr 13no lecture
11.Apr 20Neural machine translation (slides, video)
12.Apr 27Statistical MT (slides)
13.May 4Seminar
14.May 11MT in practice
15.May 18Past, present and future of MT
16.May 25Project poster session
  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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