Osman Aka

2021

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

Whom Osman Aka trusts overall

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

1. Gerlof J. Bouma
2. Dan Jurafsky
3. Nikolaos Aletras
4. Jia Deng
5. James H. Martin
6. Mark Stevenson
7. Alexandra Chouldechova
8. Richard A. Berk
9. Wei Dong
10. Richard Socher

Who trusts Osman Aka overall

1. Xiaohua Zhai
2. Shaily Bhatt
3. Javier de la Rosa
4. Margaret Mitchell
5. Chitwan Saharia
6. Alexander Kolesnikov
7. Mostafa Dehghani
8. Alexandra Sasha Luccioni

Papers from Osman Aka's perspective

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

1. ImageNet: A large-scale hierarchical image database
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Microsoft COCO: Common Objects in Context
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Measuring Model Biases in the Absence of Ground Truth (2021) — 42 citations