Vladislav Skripniuk

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 94 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it; #19,194 of 21,575 by trust here, #19,310 by citations
• Generative Models — 21 citations into it
• Artificial Intelligence — 9 citations into it

Whom Vladislav Skripniuk trusts overall

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

1. Alex Krizhevsky
2. Chih-Jen Lin
3. Geoffrey E. Hinton
4. Shumeet Baluja
5. Diederik P. Kingma
6. Kaiming He
7. Alec Radford
8. Yoshua Bengio
9. Yann LeCun
10. Ilya Sutskever

Who trusts Vladislav Skripniuk overall

1. Q. Liao

Papers from Vladislav Skripniuk's perspective

Ordered by how strongly the researchers Vladislav Skripniuk 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. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. GENERATIVE ADVERSARIAL NETS
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data (2020) — 322 citations