Jean-Pierre Martens

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #24,080 of 35,345 by trust here, #31,361 by citations
• Model Architectures — 11 citations into it
• Natural Language Processing — 8 citations into it
• Optimization & Training — 5 citations into it
• Speech & Audio — 5 citations into it

Whom Jean-Pierre Martens trusts overall

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

1. Geoffrey E. Hinton
2. Paul J. Werbos
3. Ronald J. Williams
4. Lawrence R. Rabiner
5. David E. Rumelhart

Who trusts Jean-Pierre Martens overall

1. Li Deng
2. Dong Yu
3. Kris Demuynck
4. Fabian Triefenbach

Papers from Jean-Pierre Martens's perspective

Ordered by how strongly the researchers Jean-Pierre Martens trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. A Fast Learning Algorithm for Deep Belief Nets
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Training Products of Experts by Minimizing Contrastive Divergence
6. Gradient-based learning applied to document recognition
7. Learning representations by back-propagating errors
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning long-term dependencies with gradient descent is difficult
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Acoustic Modeling With Hierarchical Reservoirs (2013) — 79 citations