Marco Hutter

Computer Vision and Pattern Recognition · 2012–2023

A researcher in the Science corpus: 26 papers; trusts 207 researchers and is trusted by 60 researchers here, as inferred from the citation graph.

Subfields

Whom Marco Hutter trusts overall

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

  1. John Schulman
  2. Jemin Hwangbo
  3. Sergey Levine
  4. Christian Gehring
  5. Geoffrey E. Hinton
  6. Pieter Abbeel
  7. Richard S. Sutton
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. Michael Blösch

Who trusts Marco Hutter overall

  1. Jemin Hwangbo
  2. Ashish Kumar
  3. Lorenz Wellhausen
  4. Ananye Agarwal
  5. Dario Bellicoso
  6. Vladlen Koltun
  7. Zipeng Fu
  8. Péter Fankhauser
  9. Takahiro Miki
  10. Fabian Jenelten

Papers from Marco Hutter's perspective

Ordered by how strongly the researchers Marco Hutter 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers