M. I. Babar

Signal Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. I. Babar trusts overall

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

  1. Geoffrey E. Hinton
  2. Dong Yu
  3. Nelson Morgan
  4. Li Deng
  5. Yoshua Bengio
  6. Richard Socher

Papers from M. I. Babar's perspective

Ordered by how strongly the researchers M. I. Babar 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. 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. Rectified Linear Units Improve Restricted Boltzmann Machines
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Deep Architectures for AI
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers