Tariq Mahmood

Information Systems · with Ricci · 2007

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Tariq Mahmood trusts overall

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

  1. Richard S. Sutton
  2. Marco A. Wiering
  3. Satinder Singh
  4. Esther Levin
  5. Andrew Barto
  6. Badrul Munir Sarwar
  7. Rolf Pfeifer
  8. J. Urgen Schmidhuber
  9. Robin D. Burke
  10. Peter Brusilovsky

Who trusts Tariq Mahmood overall

  1. Guy Shani
  2. M. M. Afsar
  3. Chongming Gao
  4. Keqin Bao
  5. Guanjie Zheng
  6. Asela Gunawardana
  7. Trafford Crump
  8. Wenqiang Lei
  9. Xiangnan He
  10. Jizhi Zhang

Papers from Tariq Mahmood's perspective

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

  1. Reinforcement Learning: An Introduction
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers