Alexandre Bouchard-Côté

Artificial Intelligence · 2006–2014

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #11,086 of 35,345 by trust here, #14,181 by citations
• Optimization & Training — 10 citations into it
• Computational Theory and Mathematics — 9 citations into it
• Management Science and Operations Research — 9 citations into it
• Natural Language Processing — 9 citations into it; #2,181 of 5,688 by trust here, #3,282 by citations

Whom Alexandre Bouchard-Côté trusts overall

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

1. Michael Collins
2. Franz Joseph Och
3. Nando de Freitas
4. Andreas Stolcke
5. David Chiang
6. Eric Brochu
7. Brian Roark
8. Matthew D. Hoffman
9. Daniel J. Lizotte
10. Philipp Koehn

Who trusts Alexandre Bouchard-Côté overall

1. David Chiang
2. Jianfeng Gao
3. Xiaodong He
4. Yoon Kim
5. Colin Cherry
6. Ryan Cotterell
7. Mark Hopkins
8. David A. McAllester
9. Luke S. Zettlemoyer
10. Ryan T. McDonald

Papers from Alexandre Bouchard-Côté's perspective

Ordered by how strongly the researchers Alexandre Bouchard-Côté trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• An End-to-End Discriminative Approach to Machine Translation (2006) — 310 citations
• An Entropy Search Portfolio for Bayesian Optimization (2014) — 62 citations
• PyClone: statistical inference of clonal population structure in cancer (2014) — 958 citations