Hossein Hadian

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 4 papers; trusts 53 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 57 citations into it; #13,751 of 35,345 by trust here, #12,761 by citations
• Speech & Audio — 42 citations into it; #544 of 1,076 by trust here, #667 by citations
• Signal Processing — 37 citations into it; #6,281 of 7,572 by trust here, #4,750 by citations
• Natural Language Processing — 29 citations into it; #5,562 of 5,688 by trust here, #4,112 by citations
• Model Architectures — 14 citations into it
• Representation & Self-Supervised Learning — 11 citations into it; #2,570 of 3,145 by trust here, #2,757 by citations
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Hossein Hadian trusts overall

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

1. Alex Graves
2. Daniel Povey
3. Geoffrey E. Hinton
4. Dzmitry Bahdanau
5. Yoshua Bengio
6. Sepp Hochreiter
7. J. Urgen Schmidhuber
8. Vijayaditya Peddinti
9. Yann LeCun
10. Alex Krizhevsky

Who trusts Hossein Hadian overall

1. Ronan Collobert
2. Tatiana Likhomanenko
3. Alexei Baevski
4. Gabriel Synnaeve
5. Vimal Manohar
6. Abdel-rahman Mohamed
7. Julian Salazar
8. Awni Y. Hannun
9. Qiantong Xu
10. Duc Le

Papers from Hossein Hadian's perspective

Ordered by how strongly the researchers Hossein Hadian 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. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• A Time-Restricted Self-Attention Layer for ASR (2018) — 163 citations
• Investigation of transfer learning for ASR using LF-MMI trained neural networks (2017) — 75 citations
• Semi-Supervised Training of Acoustic Models Using Lattice-Free MMI (2018) — 83 citations
• End-to-end Speech Recognition Using Lattice-free MMI (2018) — 171 citations