Milan Cvitkovic

Artificial Intelligence · with Huang · 2020

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #24,312 of 35,345 by trust here, #23,077 by citations
• Representation & Self-Supervised Learning — 11 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it; #15,043 of 21,575 by trust here, #15,162 by citations
• Optimization & Training — 6 citations into it

Whom Milan Cvitkovic trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Yves Grandvalet
4. Alexander A. Alemi
5. Alex Krizhevsky
6. Diederik P. Kingma
7. Andrew P. Bradley
8. Xin Rong
9. Yann LeCun
10. Kaiming He

Who trusts Milan Cvitkovic overall

1. Ravid Shwartz-Ziv
2. C. Yuhua

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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• TabTransformer: Tabular Data Modeling Using Contextual Embeddings (2020) — 875 citations