Raeed H. Chowdhury

Cognitive Neuroscience · 2011–2020

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Raeed H. Chowdhury trusts overall

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

  1. James Bergstra
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Chih-Jen Lin
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Radford M. Neal
  8. Leo Breiman
  9. Alex Smola
  10. Xavier Glorot

Papers from Raeed H. Chowdhury's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  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. Learning Multiple Layers of Features from Tiny Images
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. Going deeper with convolutions

Their papers