Emmanuel Azuh

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Speech & Audio — 15 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Multimodal Learning — 10 citations into it
• Signal Processing — 9 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Emmanuel Azuh trusts overall

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

1. David F. Harwath
2. Herman Kamper
3. James R. Glass
4. Michael I. Jordan
5. Karen Simonyan
6. Aren Jansen
7. Antonio Torralba
8. Geoffrey E. Hinton
9. Alex Seungryong Park
10. Andrew Zisserman

Papers from Emmanuel Azuh's perspective

Ordered by how strongly the researchers Emmanuel Azuh 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Towards Bilingual Lexicon Discovery From Visually Grounded Speech Audio (2019) — 15 citations