Noam Yefet

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Signal Processing — 16 citations into it
• Natural Language Processing — 15 citations into it
• Safety, Robustness & Interpretability — 15 citations into it
• Information Systems — 14 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Code Generation & Program Synthesis — 6 citations into it
• Computer Networks and Communications — 6 citations into it

Whom Noam Yefet trusts overall

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

1. Ian J. Goodfellow
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Miltiadis Allamanis
5. Yoshua Bengio
6. Ilya Sutskever
7. Christian Szegedy
8. Diederik P. Kingma
9. Uri Alon
10. Yann LeCun

Who trusts Noam Yefet overall

1. Goutham Ramakrishnan

Papers from Noam Yefet's perspective

Ordered by how strongly the researchers Noam Yefet 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Adversarial examples for models of code (2019) — 207 citations