Muntasir Wahed

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Muntasir Wahed trusts overall

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

  1. Sara Hooker
  2. Robert J. W. Tijssen
  3. James A. Evans
  4. Susan Athey
  5. Noam Shazeer
  6. Joel Hestness
  7. Geoffrey E. Hinton
  8. Joy Buolamwini
  9. Odd Erik Gundersen

Who trusts Muntasir Wahed overall

  1. Josh Cowls
  2. Abeba Birhane

Papers from Muntasir Wahed's perspective

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

  1. ImageNet Large Scale Visual Recognition Challenge
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers