Marcel Nassar

Artificial Intelligence · 2008–2017

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it

Whom Marcel Nassar trusts overall

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

1. R. Caruana
2. Richard E. Neapolitan
3. Michael L. Whitfield
4. Kaiming He
5. Alex Krizhevsky
6. Matthieu Courbariaux
7. Yoshua Bengio
8. Geoffrey E. Hinton

Who trusts Marcel Nassar overall

1. Wouter M. Kouw

Papers from Marcel Nassar's perspective

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

Their papers

• A new multitask learning method for multiorganism gene network estimation (2008) — 20 citations
• Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks (2017) — 278 citations