R. Peters

Artificial Intelligence · with Basak · 2007–2019

A researcher in the Science corpus: 3 papers; trusts 87 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 155 citations into it; #24,891 of 35,345 by trust here, #28,481 by citations
• Computer Vision and Pattern Recognition — 109 citations into it; #15,341 of 21,575 by trust here, #19,766 by citations
• Model Architectures — 30 citations into it
• Electrical and Electronic Engineering — 28 citations into it
• Signal Processing — 26 citations into it
• Generative Models — 18 citations into it
• Computational Theory and Mathematics — 16 citations into it
• Optimization & Training — 14 citations into it

Whom R. Peters trusts overall

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

1. Geoffrey E. Hinton
2. James Kennedy
3. Xiaodong Li
4. Xin-She Yang
5. Yoshua Bengio
6. Christopher J. C. H. Watkins
7. R. Eberhart
8. William D. Smart
9. Tomás Martínez-Marín
10. Peter S. Dayan

Who trusts R. Peters overall

1. Ana Cecilia Tenorio-González

Papers from R. Peters's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Going deeper with convolutions
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends (2019) — 402 citations
• Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives (2018) — 485 citations
• Reinforcement Learning with a Supervisor for a Mobile Robot in a Real-world Environment (2007) — 30 citations