Thomas Eiter

Computer Vision and Pattern Recognition · with Hadl · 2024

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Eiter trusts overall

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

  1. Drew A. Hudson
  2. Stephen H. Muggleton
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Ashish Vaswani
  8. Justin Johnson
  9. Diederik P. Kingma
  10. D'idac Sur'is

Papers from Thomas Eiter's perspective

Ordered by how strongly the researchers Thomas Eiter 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. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers