Frank Perbet

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Reinforcement Learning — 18 citations into it
• Developmental and Educational Psychology — 9 citations into it

Whom Frank Perbet trusts overall

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

1. Andrew Y. Ng
2. Chris L. Baker
3. Josh Tenenbaum
4. Geoffrey E. Hinton
5. J. Urgen Schmidhuber
6. Pieter Abbeel
7. Richard S. Sutton
8. Diederik P. Kingma
9. Jonathan Ho
10. Yoshua Bengio

Who trusts Frank Perbet overall

1. Sven Gronauer
2. Georgios Papoudakis
3. Arrasy Rahman
4. Gregory Palmer
5. Hao Zhu
6. Cristian-Paul Bara
7. Jason Burton
8. Tabish Rashid
9. Tianmin Shu

Papers from Frank Perbet's perspective

Ordered by how strongly the researchers Frank Perbet 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. 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. Reinforcement Learning: An Introduction
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Machine Theory of Mind (2018) — 613 citations