Huma Mahmood Lodhi

Artificial Intelligence · 2000–2002

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Huma Mahmood Lodhi trusts overall

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

  1. Dustin Boswell
  2. Bernhard Schölkopf
  3. Vladimir Naumovich Vapni
  4. Alex Smola
  5. David Haussler
  6. Thorsten Joachims
  7. John Shawe-Taylor
  8. Bernhard E. Boser
  9. Nello Cristianini
  10. Christopher K. I. Williams

Who trusts Huma Mahmood Lodhi overall

  1. Raymond J. Mooney
  2. Konrad Rieck
  3. Alessandro Moschitti
  4. Rohit J. Kate
  5. David L. Chen
  6. Jason Aaron Edward Weston
  7. Alan J. Izenman
  8. Pavel Laskov
  9. Hong Cheng
  10. Daoud Clarke

Papers from Huma Mahmood Lodhi's perspective

Ordered by how strongly the researchers Huma Mahmood Lodhi 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. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers