Andrei Bursuc

Artificial Intelligence · with Aldea · 2019

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Probabilistic & Bayesian Methods — 13 citations into it
• Optimization & Training — 11 citations into it
• Model Architectures — 8 citations into it

Whom Andrei Bursuc trusts overall

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

1. Radford M. Neal
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Yann LeCun
6. Yoshua Bengio
7. Kaiming He
8. Sergey Ioffe
9. Christian Szegedy
10. L. Eon Bottou

Papers from Andrei Bursuc's perspective

Ordered by how strongly the researchers Andrei Bursuc 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. Long Short-Term Memory
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

• TRADI: Tracking deep neural network weight distributions (2019) — 66 citations