Peter Bloem

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it; #11,036 of 35,345 by trust here, #3,937 by citations
• Representation & Self-Supervised Learning — 10 citations into it

Whom Peter Bloem trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Ilya Sutskever
5. Antoine Bordes
6. Yann LeCun
7. Alex Krizhevsky
8. Kristina Toutanova
9. Tomas Mikolov
10. Richard Socher

Who trusts Peter Bloem overall

1. Nicola De Cao
2. William L. Hamilton
3. Leonardo F. R. Ribeiro
4. Matthias Fey
5. Ziniu Hu
6. Seyed Mehran Kazemi
7. Kun Zhou
8. Woojeong Jin
9. Haitian Sun
10. Shizhe Chen

Papers from Peter Bloem's perspective

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

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

Their papers

• Modeling Relational Data with Graph Convolutional Networks (2017) — 6,128 citations
• Three Tools for Practical Differential Privacy (2018) — 43 citations