Nathan Tibbetts

Natural Language Processing · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 14 citations into it
• Artificial Intelligence — 13 citations into it
• Representation & Self-Supervised Learning — 13 citations into it

Whom Nathan Tibbetts trusts overall

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

1. Tomas Mikolov
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Jeffrey Pennington
5. Richard Socher
6. Ilya Sutskever
7. Nancy Fulda
8. Alex Krizhevsky
9. Quoc V. Le
10. Diederik P. Kingma

Papers from Nathan Tibbetts's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
9. GloVe: Global Vectors for Word Representation
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Harvesting Common-sense Navigational Knowledge for Robotics from Uncurated Text Corpora (2017) — 18 citations