Tehseen Zia

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 79 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Model Architectures — 20 citations into it
• Natural Language Processing — 13 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Signal Processing — 8 citations into it

Whom Tehseen Zia trusts overall

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

1. Alex Graves
2. J. Urgen Schmidhuber
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Paul J. Werbos
6. Ilya Sutskever
7. Tomas Mikolov
8. Yann LeCun
9. Sepp Hochreiter
10. Diederik P. Kingma

Papers from Tehseen Zia's perspective

Ordered by how strongly the researchers Tehseen Zia 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Residual Recurrent Highway Networks for Learning Deep Sequence Prediction Models (2018) — 23 citations