Eldan Cohen

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 145 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Natural Language Processing — 20 citations into it; #3,945 of 5,688 by trust here, #5,296 by citations
• Computer Vision and Pattern Recognition — 17 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Model Architectures — 5 citations into it

Whom Eldan Cohen trusts overall

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

1. Oriol Vinyals
2. Ilya Sutskever
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Dzmitry Bahdanau
6. Philipp Koehn
7. Sumit Chopra
8. Diederik P. Kingma
9. Alex Krizhevsky
10. Rico Sennrich

Who trusts Eldan Cohen overall

1. Clara Meister
2. Ryan Cotterell
3. Bryan Eikema
4. Zhanming Jie

Papers from Eldan Cohen's perspective

Ordered by how strongly the researchers Eldan Cohen 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Empirical Analysis of Beam Search Performance Degradation in Neural Sequence Models (2019) — 77 citations