Tuesday, November 24, 2020

C=QKV

C=QKV

2019/09/30

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NTM
1. MN
2. EEMN
3. KVMN
4. PN
5. FSA

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// 論文解説 Memory Networks (MemNN) - ディープラーニングブログ

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// Attention in NLP – Kate Loginova – Medium

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// 論文解説 Attention Is All You Need (Transformer) - ディープラーニングブログ

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// Attention  Attention!

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// Attention in NLP – Kate Loginova – Medium

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// 論文解説 Convolutional Sequence to Sequence Learning (ConvS2S) - ディープラーニングブログ 

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References

◎ 論文

// MN
J Weston, S Chopra, and A Bordes. Memory networks. ICLR, 2014.
https://arxiv.org/abs/1410.3916

// EEMN
Sukhbaatar, Sainbayar, Jason Weston, and Rob Fergus. "End-to-end memory networks." Advances in neural information processing systems. 2015.
https://papers.nips.cc/paper/5846-end-to-end-memory-networks.pdf

// KVMN
Miller, Alexander, et al. "Key-value memory networks for directly reading documents." arXiv preprint arXiv:1606.03126 (2016).
https://arxiv.org/pdf/1606.03126.pdf 

// PN
Vinyals, Oriol, Meire Fortunato, and Navdeep Jaitly. "Pointer networks." Advances in Neural Information Processing Systems. 2015.
http://papers.nips.cc/paper/5866-pointer-networks.pdf

// FSA
Daniluk, Michał, et al. "Frustratingly short attention spans in neural language modeling." arXiv preprint arXiv:1702.04521 (2017).
https://arxiv.org/pdf/1702.04521.pdf

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◎ 英文參考資料

# EEMN
# FSA
# 680 claps
Attention in NLP – Kate Loginova – Medium
https://medium.com/@joealato/attention-in-nlp-734c6fa9d983

# KVMN
Summary of paper 'Key-Value Memory Networks for Directly Reading Documents' · GitHub
https://gist.github.com/shagunsodhani/a5e0baa075b4a917c0a69edc575772a8

# PN
Attention  Attention!
https://lilianweng.github.io/lil-log/2018/06/24/attention-attention.html 

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◎ 日文參考資料

# MN
論文解説 Memory Networks (MemNN) - ディープラーニングブログ
http://deeplearning.hatenablog.com/entry/memory_networks

# KVMN
論文解説 Attention Is All You Need (Transformer) - ディープラーニングブログ
http://deeplearning.hatenablog.com/entry/transformer

# QKVC
論文解説 Convolutional Sequence to Sequence Learning (ConvS2S) - ディープラーニングブログ
http://deeplearning.hatenablog.com/entry/convs2s 

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