Bruno Mlodozeniec

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #17,419 of 35,345 by trust here, #22,463 by citations
• Computer Vision and Pattern Recognition — 9 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it
• Safety, Robustness & Interpretability — 6 citations into it

Whom Bruno Mlodozeniec trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yarin Gal
4. Kaiming He
5. Max Welling
6. Yann LeCun
7. Diederik P. Kingma
8. Yoshua Bengio
9. Ross B. Girshick
10. Tomas Mikolov

Who trusts Bruno Mlodozeniec overall

1. Andrey Malinin
2. Hadi Pouransari
3. Lin Wang
4. Zongbo Han
5. Samuel Stanton
6. Mark John Francis Gales

Papers from Bruno Mlodozeniec's perspective

Ordered by how strongly the researchers Bruno Mlodozeniec trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Ensemble Distribution Distillation (2019) — 278 citations