Tristan Miller

Artificial Intelligence · 2018

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

Subfields

• Artificial Intelligence — 18 citations into it; #34,745 of 35,345 by trust here, #28,481 by citations

Whom Tristan Miller trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Christian Stab
5. Tomas Mikolov
6. Iryna Gurevych
7. Yoshua Bengio
8. Alex Krizhevsky
9. Jimmy Ba
10. Nitish Srivastava

Who trusts Tristan Miller overall

1. Sebastian Hofstätter
2. Benjamin Schiller

Papers from Tristan Miller's perspective

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

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Dropout: a simple way to prevent neural networks from overfitting
9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Cross-topic Argument Mining from Heterogeneous Sources (2018) — 219 citations