Malika Aubakirova

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 132 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #20,478 of 35,345 by trust here, #28,481 by citations
• Natural Language Processing — 12 citations into it; #3,478 of 5,688 by trust here, #4,983 by citations
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Malika Aubakirova trusts overall

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

1. Bo Pang
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Karen Simonyan
5. Ross B. Girshick
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Alec Go
9. Ilya Sutskever
10. Richard Socher

Who trusts Malika Aubakirova overall

1. Sweta Karlekar
2. Yonatan Belinkov
3. Tong Niu
4. Mohit Bansal

Papers from Malika Aubakirova's perspective

Ordered by how strongly the researchers Malika Aubakirova 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Interpreting Neural Networks to Improve Politeness Comprehension (2016) — 60 citations