Manaar Alam

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Manaar Alam trusts overall

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

  1. Nicolas Papernot
  2. Christian Szegedy
  3. Geoffrey E. Hinton
  4. Ian J. Goodfellow
  5. Sergey Ioffe
  6. Yann LeCun
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. Nicholas Carlini
  10. Patrick Drew McDaniel

Who trusts Manaar Alam overall

  1. Irene Solaiman

Papers from Manaar Alam's perspective

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

Their papers