Muhammad Atif Tahir

Artificial Intelligence · 2012–2015

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Muhammad Atif Tahir trusts overall

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

  1. Leo Breiman
  2. Jorma Laurikkala
  3. Geoffrey I. Webb
  4. Philip Ka-Fai Chan
  5. Johannes Fürnkranz
  6. Josef Kittler
  7. Dacheng Tao
  8. Nitesh V. Chawla
  9. Salvatore J. Stolfo
  10. Niko Speybroeck

Who trusts Muhammad Atif Tahir overall

  1. Francisco Charte
  2. Liuyu Xiang
  3. Antonio Jesús Rivera
  4. Wing W. Y. Ng
  5. Zhongbin Sun
  6. M. J. Jesús
  7. Francisco Herrera
  8. Guiguang Ding
  9. Guangjun Zeng
  10. Qinbao Song

Papers from Muhammad Atif Tahir's perspective

Ordered by how strongly the researchers Muhammad Atif Tahir 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. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Going deeper with convolutions
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers