Anton Schwaighofer

Artificial Intelligence · 2004–2023

A researcher in the Science corpus: 8 papers; trusts 53 researchers and is trusted by 72 researchers here, as inferred from the citation graph.

Subfields

Whom Anton Schwaighofer trusts overall

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

  1. Christopher K. I. Williams
  2. Bernhard Schölkopf
  3. Michael I. Jordan
  4. David Ruppert
  5. Geoffrey E. Hinton
  6. Thorsten Joachims
  7. Yann LeCun
  8. Yuhai Wu
  9. J. Breese
  10. R. Caruana

Who trusts Anton Schwaighofer overall

  1. Yu Zhang
  2. Qiang Yang
  3. Dit-Yan Yeung
  4. Jianhui Chen
  5. Sinno Jialin Pan
  6. Gianluigi Pillonetto
  7. Xilu Wang
  8. Adarsh Subbaswamy
  9. Masashi Sugiyama
  10. Jialin Pan

Papers from Anton Schwaighofer's perspective

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

Their papers