Maryam Habibi

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Molecular Biology — 20 citations into it
• Natural Language Processing — 6 citations into it

Whom Maryam Habibi trusts overall

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

1. Robert Leaman
2. Lawrence R. Rabiner
3. Sepp Hochreiter
4. Andrew M. Dai
5. Trevor J. Hastie
6. J. Urgen Schmidhuber
7. Xuezhong Zhou
8. Sampo Pyysalo
9. Zhiyong Lu
10. Quoc V. Le

Who trusts Maryam Habibi overall

1. Suyu Ge
2. WonJin Yoon
3. Fangzhao Wu
4. Dat Quoc Nguyen
5. Jinhyuk Lee
6. Chuhan Wu
7. Chan Ho So

Papers from Maryam Habibi's perspective

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

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

Their papers

• Deep learning with word embeddings improves biomedical named entity recognition (2017) — 549 citations