Fedor Kitashov

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Natural Language Processing — 7 citations into it

Whom Fedor Kitashov trusts overall

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

1. Ilya Sutskever
2. Shaon Ghosh
3. Kyunghyun Cho
4. Geoffrey E. Hinton
5. Oriol Vinyals
6. Alex Graves
7. Yoshua Bengio
8. Dzmitry Bahdanau
9. Quoc V. Le
10. Per Ola Kristensson

Papers from Fedor Kitashov's perspective

Ordered by how strongly the researchers Fedor Kitashov 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Foreign English Accent Adjustment by Learning Phonetic Patterns (2018) — 13 citations