Y. C. Subakan

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #19,049 of 35,345 by trust here, #33,294 by citations
• Model Architectures — 9 citations into it
• Signal Processing — 6 citations into it; #3,936 of 7,572 by trust here, #7,112 by citations

Whom Y. C. Subakan trusts overall

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

1. Alex Graves
2. Yoshua Bengio
3. Diederik P. Kingma
4. J. Urgen Schmidhuber
5. Sepp Hochreiter
6. Xavier Glorot
7. Geoffrey E. Hinton
8. Ilya Sutskever
9. Wojciech Zaremba
10. Jimmy Ba

Who trusts Y. C. Subakan overall

1. Shaojie Bai
2. J. Kolter
3. Vladlen Koltun

Papers from Y. C. Subakan's perspective

Ordered by how strongly the researchers Y. C. Subakan 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. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Diagonal rnns in symbolic music modeling (2017) — 22 citations