Silvio Amir

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it; #16,547 of 35,345 by trust here, #7,010 by citations
• Natural Language Processing — 31 citations into it; #3,414 of 5,688 by trust here, #1,826 by citations
• Model Architectures — 8 citations into it

Whom Silvio Amir trusts overall

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

1. Diederik P. Kingma
2. Irene Y. Chen
3. Jacob Devlin
4. Jimmy Ba
5. Yoshua Bengio
6. Geoffrey E. Hinton
7. Kexin Huang
8. Ilya Sutskever
9. Alex Graves
10. Hrayr Harutyunyan

Who trusts Silvio Amir overall

1. Emma Strubell

Papers from Silvio Amir's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Attention is All you Need (Neural Information Processing Systems)
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

• Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation (2015) — 648 citations
• Not All Contexts Are Created Equal: Better Word Representations with Variable Attention (2015) — 142 citations
• On the Impact of Random Seeds on the Fairness of Clinical Classifiers (2021) — 20 citations