Thomas G. Habetler

Control and Systems Engineering · 2007–2019

A researcher in the Science corpus: 8 papers; trusts 53 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas G. Habetler trusts overall

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

  1. Haidong Shao
  2. Yoshua Bengio
  3. Dana H. Ballard
  4. Chen Lu
  5. J. Urgen Schmidhuber
  6. Yaguo Lei
  7. Hongkai Jiang
  8. Yann LeCun
  9. Kunihiko Fukushima
  10. Alec Radford

Who trusts Thomas G. Habetler overall

  1. Julio César Urresty

Papers from Thomas G. Habetler's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. GENERATIVE ADVERSARIAL NETS
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers