Urwa Muaz

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it; #22,143 of 35,345 by trust here, #19,873 by citations
• Safety, Robustness & Interpretability — 7 citations into it; #1,444 of 2,251 by trust here, #1,673 by citations
• Natural Language Processing — 6 citations into it; #3,733 of 5,688 by trust here, #3,897 by citations

Whom Urwa Muaz trusts overall

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

1. Jieyu Zhao
2. Ilya Sutskever
3. Anja Lambrecht
4. Jeffrey Pennington
5. Geoffrey E. Hinton
6. Tolga Bolukbasi
7. Richard Socher
8. Kaiji Lu
9. Kai-Wei Chang
10. Karl Moritz Hermann

Who trusts Urwa Muaz overall

1. Karolina Stańczak
2. Angelina Wang
3. Soumya Barikeri
4. Jiaxu Zhao

Papers from Urwa Muaz's perspective

Ordered by how strongly the researchers Urwa Muaz 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. ImageNet classification with deep convolutional neural networks
3. GloVe: Global Vectors for Word Representation
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Reducing Gender Bias in Word-Level Language Models with a Gender-Equalizing Loss Function (2019) — 105 citations