Tim Kaldewey

Computer Networks and Communications · 2009–2021

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tim Kaldewey trusts overall

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

  1. Individualized Treat
  2. Kaiming He
  3. Mehdi Mirza
  4. Alec Radford

Papers from Tim Kaldewey's perspective

Ordered by how strongly the researchers Tim Kaldewey 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. GENERATIVE ADVERSARIAL NETS
  3. Et al
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  7. Learning Multiple Layers of Features from Tiny Images
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers