Sevinj Yolchuyeva

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Natural Language Processing — 14 citations into it
• Model Architectures — 9 citations into it

Whom Sevinj Yolchuyeva trusts overall

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

1. Diederik P. Kingma
2. Alex Graves
3. Yann LeCun
4. Sergey Ioffe
5. Richard Sproat
6. Geoffrey E. Hinton
7. Christian Szegedy
8. Yoshua Bengio
9. Junbo Jake Zhao
10. Ilya Sutskever

Who trusts Sevinj Yolchuyeva overall

1. Xu Tan
2. Courtney Mansfield
3. Hao Zhang
4. Tao Qin
5. Ming Sun
6. Richard Sproat

Papers from Sevinj Yolchuyeva's perspective

Ordered by how strongly the researchers Sevinj Yolchuyeva 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Text normalization with convolutional neural networks (2018) — 20 citations