Ousmane Amadou Dia

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #33,280 of 35,345 by trust here, #11,624 by citations
• Probabilistic & Bayesian Methods — 7 citations into it; #1,481 of 1,525 by trust here, #549 by citations
• Reinforcement Learning — 6 citations into it

Whom Ousmane Amadou Dia trusts overall

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

1. Radford M. Neal
2. Ronald J. Williams
3. Geoffrey E. Hinton
4. Max Welling
5. Diederik P. Kingma
6. Yoshua Bengio
7. Chelsea Finn
8. John Schulman
9. Alex Krizhevsky
10. Sergey Levine

Who trusts Ousmane Amadou Dia overall

1. Christopher Fifty

Papers from Ousmane Amadou Dia's perspective

Ordered by how strongly the researchers Ousmane Amadou Dia 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Bayesian Model-Agnostic Meta-Learning (2018) — 548 citations