C. Trabelsi

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 4 papers; trusts 47 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom C. Trabelsi trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Yoshua Bengio
  4. Yann LeCun
  5. Diederik P. Kingma
  6. Sepp Hochreiter
  7. J. Urgen Schmidhuber
  8. Alex Graves
  9. Karen Simonyan
  10. Alex Krizhevsky

Who trusts C. Trabelsi overall

  1. Titouan Parcollet
  2. Chase J. Gaudet
  3. Lei Huang
  4. Benjamin Ehret
  5. John Thickstun
  6. Yi Tay
  7. Mario Lezcano Casado
  8. Piotr A. Sokól
  9. Shicong Liu
  10. Hyeong-Seok Choi

Papers from C. Trabelsi's perspective

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

Their papers