Mounia Lalmas

Artificial Intelligence · 2003–2018

A researcher in the Science corpus: 9 papers; trusts 26 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom Mounia Lalmas trusts overall

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

  1. Jerome H. Friedman
  2. Stephen E. Robertson
  3. Corinna Cortes
  4. Hsiang-Fu Yu
  5. Vladimir Naumovich Vapnik
  6. Karen Spärck Jones
  7. S. Walker
  8. Fang-Lan Huang
  9. J. Alstott
  10. Trevor J. Hastie

Who trusts Mounia Lalmas overall

  1. Fabrizio Silvestri
  2. Gabriele Tolomei
  3. Nicola Barbieri
  4. Shivani Rao
  5. Ke Zhou
  6. Ofer Egozi
  7. Jaime Teevan
  8. Hamed Zamani
  9. Haotian Zhang
  10. Miriam Redi

Papers from Mounia Lalmas's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Histograms of oriented gradients for human detection
  8. Intriguing properties of neural networks
  9. Long Short-Term Memory
  10. ImageNet: A large-scale hierarchical image database

Their papers