Amir Vakili Tahami

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #30,139 of 35,345 by trust here, #33,294 by citations
• Natural Language Processing — 8 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it; #18,542 of 21,575 by trust here, #20,756 by citations

Whom Amir Vakili Tahami trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Jimmy Ba
4. Yoon Kim
5. Samuel Humeau
6. Yoshua Bengio
7. Jacob Devlin
8. Shuohang Wang
9. Oriol Vinyals
10. Ashish Vaswani

Who trusts Amir Vakili Tahami overall

1. Sebastian Hofstätter
2. Sheng-Chieh Lin
3. Sophia Althammer
4. Jimmy J. Lin

Papers from Amir Vakili Tahami's perspective

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

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

Their papers

• Distilling Knowledge for Fast Retrieval-based Chat-bots (2020) — 32 citations