Adil Salim

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 4 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Adil Salim trusts overall

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

  1. Laurent Condat
  2. Antonin Chambolle
  3. Chih-Jen Lin
  4. Patrick L. Combettes
  5. Bang Công Vu
  6. Ming Yan
  7. Amir Beck
  8. Guanghui Lan
  9. Yurii E. Nesterov
  10. Pierre-Louis Lions

Who trusts Adil Salim overall

  1. Laurent Condat
  2. S. Chraibi
  3. Grigory Malinovsky
  4. Peter Richtárik

Papers from Adil Salim's perspective

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

Their papers