Andrei Paleyes

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 71 citations into it
• Safety, Robustness & Interpretability — 20 citations into it
• Privacy & Security — 19 citations into it
• Management Science and Operations Research — 14 citations into it
• Optimization & Training — 13 citations into it
• Sociology and Political Science — 12 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Information Systems — 11 citations into it

Whom Andrei Paleyes trusts overall

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

1. J. Ross Quinlan
2. Cynthia Dwork
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Chelsea Finn
6. Alex Krizhevsky
7. Randal S. Olson
8. Yoshua Bengio
9. Paroma Varma
10. Yann LeCun

Who trusts Andrei Paleyes overall

1. Jack Bandy

Papers from Andrei Paleyes's perspective

Ordered by how strongly the researchers Andrei Paleyes 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Challenges in Deploying Machine Learning: A Survey of Case Studies (2020) — 636 citations
• Automatic Discovery of Privacy–Utility Pareto Fronts (2019) — 32 citations