Milan Cvitkovic

Artificial Intelligence · with Marino · 2018

A researcher in the Science corpus: 1 paper; trusts 67 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Generative Models — 15 citations into it
• Probabilistic & Bayesian Methods — 12 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Model Architectures — 6 citations into it
• Signal Processing — 6 citations into it

Whom Milan Cvitkovic trusts overall

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

1. Geoffrey E. Hinton
2. Radford M. Neal
3. Diederik P. Kingma
4. Yoshua Bengio
5. Jimmy Ba
6. Michael I. Jordan
7. Alex Krizhevsky
8. Danilo Jimenez Rezende
9. Yann LeCun
10. J. Urgen Schmidhuber

Papers from Milan Cvitkovic's perspective

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

Their papers

• A General Method for Amortizing Variational Filtering (2018) — 39 citations