T. Muller

Computer Vision and Pattern Recognition · 2018–2023

A researcher in the Science corpus: 4 papers; trusts 74 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom T. Muller trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Aäron van den Oord
  5. Alex Krizhevsky
  6. Laurent Dinh
  7. Xavier Glorot
  8. Kaiming He
  9. Yann LeCun
  10. Michael I. Jordan

Who trusts T. Muller overall

  1. Zehao Yu
  2. Hengyi Wang
  3. Jiaxiang Tang
  4. Antoine Guédon
  5. Conor Durkan
  6. Anpei Chen
  7. Binbin Huang
  8. Jonathan T. Barron
  9. Andreas Geiger
  10. Zhiwen Fan

Papers from T. Muller's perspective

Ordered by how strongly the researchers T. Muller 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers