Aaron D'Souza

Artificial Intelligence · 2001–2005

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Aaron D'Souza trusts overall

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

  1. Trevor J. Hastie
  2. Michael E. Tipping
  3. Charles M. Bishop
  4. Michael I. Jordan
  5. Robert Tibshirani
  6. Jerome H. Friedman
  7. Kenji Fukumizu
  8. Christopher G. Atkeson
  9. Bernhard Schölkopf
  10. Terence D. Sanger

Who trusts Aaron D'Souza overall

  1. Sylvain Calinon
  2. Aude Gemma Billard
  3. Manuel Lopes
  4. Jan Peters
  5. Duy Nguyen-Tuong
  6. Stefan Schaal
  7. Xiaoqin Zhang
  8. Olivier Sigaud
  9. Ruben Martinez-Cantin
  10. Seyed Mohammad Khansari-Zadeh

Papers from Aaron D'Souza's perspective

Ordered by how strongly the researchers Aaron D'Souza 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. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  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