Zied Elloumi

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #30,600 of 35,345 by trust here, #32,362 by citations
• Speech & Audio — 6 citations into it; #933 of 1,076 by trust here, #1,022 by citations
• Signal Processing — 5 citations into it; #6,614 of 7,572 by trust here, #6,836 by citations

Whom Zied Elloumi trusts overall

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

1. Geoffrey E. Hinton
2. Yoon Kim
3. Diederik P. Kingma
4. L. V. D. van der Maaten
5. Yonatan Belinkov
6. Abdel-rahman Mohamed
7. Jimmy Ba
8. Yoshua Bengio
9. Guillaume Gravier
10. Alex Krizhevsky

Who trusts Zied Elloumi overall

1. John Hewitt
2. Richard Meyes
3. Percy Liang
4. Constantin Waubert de Puiseau

Papers from Zied Elloumi's perspective

Ordered by how strongly the researchers Zied Elloumi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Analyzing Learned Representations of a Deep ASR Performance Prediction Model (2018) — 14 citations