Hakan Inan

Artificial Intelligence · with Khosravi · 2016

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 216 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #2,574 of 35,345 by trust here, #7,346 by citations
• Natural Language Processing — 16 citations into it; #855 of 5,688 by trust here, #1,692 by citations
• Model Architectures — 10 citations into it

Whom Hakan Inan trusts overall

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

1. Tomas Mikolov
2. Sepp Hochreiter
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. J. Urgen Schmidhuber
6. Yarin Gal
7. Ilya Sutskever
8. Mitchell P. Marcus
9. Diederik P. Kingma
10. Yann LeCun

Who trusts Hakan Inan overall

1. Ofir Press
2. Stephen Merity
3. Barret Zoph
4. Richard Socher
5. Noah A. Smith
6. Alexei Baevski
7. Shuai Tang
8. Sho Takase
9. Quoc V. Le
10. Nitish Shirish Keskar

Papers from Hakan Inan's perspective

Ordered by how strongly the researchers Hakan Inan 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Learning Multiple Layers of Features from Tiny Images
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling (2016) — 406 citations