David Demeter

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Natural Language Processing — 10 citations into it
• Large Language Models — 6 citations into it

Whom David Demeter trusts overall

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

1. Yoshua Bengio
2. Ilya Sutskever
3. Wojciech Zaremba
4. Oriol Vinyals
5. Jeffrey Pennington
6. Richard Socher
7. Geoffrey E. Hinton
8. Kyunghyun Cho
9. Sébastien Jean
10. Rafal Józefowicz

Who trusts David Demeter overall

1. Luyu Gao
2. Aman Madaan

Papers from David Demeter's perspective

Ordered by how strongly the researchers David Demeter 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. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Just Add Functions: A Neural-Symbolic Language Model (2019) — 11 citations