Maksym Zavershynskyi

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #25,683 of 35,345 by trust here, #25,809 by citations
• Natural Language Processing — 16 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Maksym Zavershynskyi trusts overall

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

1. Oriol Vinyals
2. Ilya Sutskever
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Lukasz Kaiser
6. Alex Graves
7. Kyunghyun Cho
8. Caglar Gulcehre
9. Thang Luong
10. Diederik P. Kingma

Who trusts Maksym Zavershynskyi overall

1. Ruiqi Zhong
2. Xinyun Chen
3. Dan Hendrycks
4. Jacob Austin
5. Mitchell Stern
6. Linyuan Gong
7. Sumith Kulal

Papers from Maksym Zavershynskyi's perspective

Ordered by how strongly the researchers Maksym Zavershynskyi 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. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• NAPS: Natural Program Synthesis Dataset (2018) — 37 citations