Yaser Keneshloo

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 138 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 135 citations into it
• Natural Language Processing — 125 citations into it
• Computer Vision and Pattern Recognition — 45 citations into it
• Model Architectures — 23 citations into it
• Representation & Self-Supervised Learning — 16 citations into it
• Reinforcement Learning — 8 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Yaser Keneshloo trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Richard Socher
5. Tomas Mikolov
6. Diederik P. Kingma
7. Christopher D. Manning
8. Alex Krizhevsky
9. Yann LeCun
10. Alex Graves

Papers from Yaser Keneshloo's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Natural Language Processing Advancements By Deep Learning: A Survey (2020) — 266 citations