Malik Ghallab

Artificial Intelligence · 1996–2017

A researcher in the Science corpus: 6 papers; trusts 72 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Malik Ghallab trusts overall

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

  1. Jörg Hoffmann
  2. Blai Bonet
  3. Andrew Y. Ng
  4. Nils J. Nilsson
  5. Hector Geffner
  6. Richard S. Sutton
  7. Martin L. Puterman
  8. Lawrence R. Rabiner
  9. David Silver
  10. Andrew Barto

Who trusts Malik Ghallab overall

  1. Karthik Valmeekam
  2. Been Kim
  3. Tim Miller
  4. Pascal Kerschke
  5. Thierry Vidal
  6. Sarath Sreedharan
  7. Caelan Reed Garrett
  8. Subbarao Kambhampati
  9. Chris Paxton
  10. Chien-Yi Chang

Papers from Malik Ghallab's perspective

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

Their papers