Rémy Portelas

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Reinforcement Learning — 28 citations into it

Whom Rémy Portelas trusts overall

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

1. Jeffrey L. Elman
2. Richard S. Sutton
3. Andrew W. Moore
4. Adrien Baranes
5. Matthew E. Taylor
6. Kai A. Krueger
7. Pierre-Yves Oudeyer
8. J. Urgen Schmidhuber
9. Geoffrey E. Hinton
10. Peter S. Dayan

Who trusts Rémy Portelas overall

1. Xin Wang
2. Yudong Chen

Papers from Rémy Portelas's perspective

Ordered by how strongly the researchers Rémy Portelas 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. Reinforcement Learning: An Introduction
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Automatic Curriculum Learning For Deep RL: A Short Survey (2020) — 235 citations