Mihailo Isakov

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Privacy & Security — 9 citations into it
• Hardware and Architecture — 8 citations into it
• Model Architectures — 6 citations into it

Whom Mihailo Isakov trusts overall

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

1. Florian Tramèr
2. Yuval Yarom
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Song Han
7. Ilya Sutskever
8. Victor Costan
9. Ian J. Goodfellow
10. Yann LeCun

Papers from Mihailo Isakov's perspective

Ordered by how strongly the researchers Mihailo Isakov 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. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Survey of Attacks and Defenses on Edge-Deployed Neural Networks (2019) — 35 citations