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Incorporating Markov Properties (Cohn et al. 2015)
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Classroom Contents
Neural Nets for NLP 2017 - Attention
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- 1 Intro
- 2 Sentence Representations
- 3 Basic Idea (Bahdanau et al. 2015)
- 4 Calculating Attention (1)
- 5 A Graphical Example
- 6 Attention Score Functions (2)
- 7 Input Sentence
- 8 Previously Generated Things
- 9 Various Modalities
- 10 Hierarchical Structures (Yang et al. 2016)
- 11 Multiple Sources
- 12 Intra-Attention / Self Attention (Cheng et al. 2016) • Each element in the sentence attends to other elements + context sensitive encodings!
- 13 Coverage
- 14 Incorporating Markov Properties (Cohn et al. 2015)
- 15 Bidirectional Training (Cohn et al. 2015)
- 16 Supervised Training (Mi et al. 2016)
- 17 Attention is not Alignment! (Koehn and Knowles 2017) • Attention is often blurred
- 18 Monotonic Attention (e.g. Yu et al. 2016)
- 19 Convolutional Attention (Allamanis et al. 2016)
- 20 Multi-headed Attention
- 21 Summary of the "Transformer" (Vaswani et al. 2017)
- 22 Attention Tricks
