Ivanna Mykhalchyshyna

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Artificial Intelligence — 23 citations into it
• Control and Systems Engineering — 15 citations into it
• Reinforcement Learning — 9 citations into it
• Aerospace Engineering — 8 citations into it
• Robotics & Control — 8 citations into it

Whom Ivanna Mykhalchyshyna trusts overall

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

1. Kaiming He
2. Jonathan Ho
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ross B. Girshick
6. Nathan P. Koenig
7. Tanmay Gangwani
8. Diederik P. Kingma
9. Yoshua Bengio
10. Yann LeCun

Who trusts Ivanna Mykhalchyshyna overall

1. Stephen James

Papers from Ivanna Mykhalchyshyna's perspective

Ordered by how strongly the researchers Ivanna Mykhalchyshyna 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Simitate: A Hybrid Imitation Learning Benchmark (2019) — 20 citations