Marc-Alexandre Côté

Artificial Intelligence · 2016–2022

A researcher in the Science corpus: 13 papers; trusts 381 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Marc-Alexandre Côté trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Ruslan Salakhutdinov
  5. Alex Graves
  6. Alex Krizhevsky
  7. Radford M. Neal
  8. Richard S. Sutton
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Marc-Alexandre Côté overall

  1. Prithviraj Ammanabrolu
  2. Xingdi Yuan
  3. Matthew J. Hausknecht
  4. Shunyu Yao
  5. Vincent Micheli
  6. Mohit Shridhar
  7. Karol Gregor
  8. Vishal Jain
  9. Jianfeng Gao
  10. Ruo Yu Tao

Papers from Marc-Alexandre Côté's perspective

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

Their papers