Shaheen Syed

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #33,478 of 35,345 by trust here, #34,213 by citations
• Natural Language Processing — 7 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Shaheen Syed trusts overall

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

1. Thomas Hofmann
2. David M. Blei
3. Xuerui Wang
4. Radim Rehurek
5. Carson Sievert
6. Matthew D. Hoffman
7. David Leo Wright Hall
8. Michael Röder
9. Jason Chuang
10. T. Landauer

Who trusts Shaheen Syed overall

1. D. Angelov

Papers from Shaheen Syed's perspective

Ordered by how strongly the researchers Shaheen Syed 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. Gradient-based learning applied to document recognition
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Full-Text or Abstract? Examining Topic Coherence Scores Using Latent Dirichlet Allocation (2017) — 363 citations