Pierre Humbert

2016

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Pierre Humbert trusts overall

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

1. Pieter Abbeel
2. Shamim Nemati
3. Andrew Y. Ng
4. Brett L. Moore
5. José David Martín-Guerrero
6. Marzyeh Ghassemi
7. Faustino J. Gomez
8. Larry D. Pyeatt
9. J. Urgen Schmidhuber
10. G. Clifford

Who trusts Pierre Humbert overall

1. Chao Yu
2. Jiming Liu
3. Shamim Nemati

Papers from Pierre Humbert's perspective

Ordered by how strongly the researchers Pierre Humbert 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Reinforcement Learning: An Introduction
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Learning from an expert (2016)