Ashraf M. Kibriya

Australian Conference on Artificial Intelligence · 2004

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Ashraf M. Kibriya trusts overall

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

  1. J. Platt
  2. Andrew McCallum
  3. Eibe Frank
  4. Jason D. M. Rennie
  5. Kamal Nigam
  6. Mark A. Hall
  7. Thorsten Joachims
  8. Lawrence Kai Shih

Who trusts Ashraf M. Kibriya overall

  1. Li Yang
  2. Zach Jorgensen
  3. Todd Kulesza
  4. Preeti Mishra
  5. Byron Knoll
  6. William J. Tastle
  7. Abdallah Shami
  8. V. Varadharajan
  9. Yan Zhou
  10. Margaret M. Burnett

Papers from Ashraf M. Kibriya's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. A comparison of event models for naive bayes text classification
  3. ImageNet classification with deep convolutional neural networks
  4. Learning Multiple Layers of Features from Tiny Images
  5. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Fast Training of Support Vector Machines using Sequential Minimal Optimization
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Long Short-Term Memory
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers