Peter Ebden

Natural Language Processing · 2014

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 5 citations into it

Whom Peter Ebden trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Graham Neubig
2. Brian Roark
3. Richard Sproat
4. Roberto Navigli
5. Paul Taylor
6. Yosuke Nakata
7. Shinsuke Mori
8. Manfred Droste

Who trusts Peter Ebden overall

1. Richard Sproat
2. Heiga Zen
3. Tom Kenter
4. Yeting Jia
5. Hao Zhang
6. Navdeep Jaitly
7. Yutian Chen
8. R. Clark
9. Manish Sharma
10. Michelle Tadmor Ramanovich

Papers from Peter Ebden's perspective

Ordered by how strongly the researchers Peter Ebden trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Attention is All you Need (Neural Information Processing Systems)
3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• The Kestrel TTS text normalization system (2014) — 90 citations