Nicolas Tremblay

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Statistical and Nonlinear Physics — 14 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Computational Theory and Mathematics — 6 citations into it

Whom Nicolas Tremblay trusts overall

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

1. Aliaksei Sandryhaila
2. Ulrike von Luxburg
3. Miroslav Fiedler
4. Jianbo Shi
5. Mikhail Belkin
6. Andrew Y. Ng
7. José M. F. Moura
8. Jaewon Yang
9. Jing Lei
10. Lihi Zelnik-Manor

Who trusts Nicolas Tremblay overall

1. Antonio Ortega
2. Xinwang Liu
3. Pascal Frossard

Papers from Nicolas Tremblay's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Going deeper with convolutions
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Compressive Spectral Clustering (2016) — 119 citations