Loïc M. Roch

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Loïc M. Roch trusts overall

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

  1. Jasper Snoek
  2. Donald R. Jones
  3. Frank Hutter
  4. Geoffroy Hautier
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Zhenpeng Zhou
  8. Hugo Larochelle
  9. Connor W. Coley

Papers from Loïc M. Roch's perspective

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

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

Their papers