Oleksii Hrinchuk

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it; #35,318 of 35,345 by trust here, #23,731 by citations
• Optimization & Training — 21 citations into it
• Natural Language Processing — 15 citations into it

Whom Oleksii Hrinchuk trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Kaiming He
4. Ilya Sutskever
5. Ilya Loshchilov
6. Alex Krizhevsky
7. Yoshua Bengio
8. Noam Shazeer
9. Christian Szegedy
10. Boris Polyak

Who trusts Oleksii Hrinchuk overall

1. Stanislav Beliaev

Papers from Oleksii Hrinchuk's perspective

Ordered by how strongly the researchers Oleksii Hrinchuk trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. ImageNet Large Scale Visual Recognition Challenge
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• NeMo: a toolkit for building AI applications using Neural Modules (2019) — 411 citations
• Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks (2019) — 108 citations