Wahid Bhimji

Nuclear and High Energy Physics · 2001–2019

A researcher in the Science corpus: 39 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wahid Bhimji trusts overall

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

  1. Radford M. Neal
  2. Diederik P. Kingma
  3. Matthew D. Hoffman
  4. Yann LeCun
  5. Geoffrey E. Hinton
  6. Max Welling
  7. Yoshua Bengio
  8. David Wingate
  9. Andrew Gelman
  10. Dustin Tran

Papers from Wahid Bhimji's perspective

Ordered by how strongly the researchers Wahid Bhimji 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers