Takuma Yoneda

Artificial Intelligence · 2018

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

Subfields

• Artificial Intelligence — 7 citations into it; #20,127 of 35,345 by trust here, #20,836 by citations
• Natural Language Processing — 7 citations into it; #3,425 of 5,688 by trust here, #4,032 by citations

Whom Takuma Yoneda trusts overall

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

1. Vinod Nair
2. Jeffrey Pennington
3. Geoffrey E. Hinton
4. Samuel R. Bowman
5. Ankur P. Parikh
6. Christopher D. Manning
7. Richard Socher
8. James Thorne
9. Qian Chen
10. Andreas Vlachos

Who trusts Takuma Yoneda overall

1. James Thorne
2. Andreas Vlachos
3. Yixin Nie
4. Zhenghao Liu
5. Mykola Trokhymovych
6. Tal Schuster
7. Canasai Kruengkrai
8. Pepa Atanasova
9. Xiaoyu Yang
10. Mohit Bansal

Papers from Takuma Yoneda's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. GloVe: Global Vectors for Word Representation
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Rectified Linear Units Improve Restricted Boltzmann Machines

Their papers

• UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF) (2018) — 101 citations