Johan Debayle

Artificial Intelligence · 2017

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 — 11 citations into it
• Signal Processing — 10 citations into it

Whom Johan Debayle trusts overall

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

1. Yann LeCun

Papers from Johan Debayle's perspective

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

1. Efficient BackProp
2. Speech recognition with deep recurrent neural networks
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Applying Convolutional Neural Networks concepts to hybrid NN-HMM model for speech recognition
7. Unsupervised feature learning for audio classification using convolutional deep belief networks
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Classification of time-series images using deep convolutional neural networks (2017) — 391 citations