Yunus Saatchi

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Probabilistic & Bayesian Methods — 13 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Model Architectures — 6 citations into it

Whom Yunus Saatchi trusts overall

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

1. Andrew Gordon Wilson
2. Geoffrey E. Hinton
3. Ruslan Salakhutdinov
4. Sergey Ioffe
5. Yoshua Bengio
6. Radford M. Neal
7. Tommi S. Jaakkola
8. Marc Peter Deisenroth
9. Alex Krizhevsky
10. Ilya Sutskever

Papers from Yunus Saatchi's perspective

Ordered by how strongly the researchers Yunus Saatchi trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Learning Scalable Deep Kernels with Recurrent Structure (2016) — 116 citations