Pascal Kaiser

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pascal Kaiser trusts overall

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

  1. Geoffrey E. Hinton
  2. Karen Simonyan
  3. Xavier Glorot
  4. Yoshua Bengio
  5. Yann LeCun
  6. Mordechai (Muki) Haklay
  7. Andrew Zisserman
  8. Alex Krizhevsky
  9. Volodymyr Mnih
  10. Evan Shelhamer

Who trusts Pascal Kaiser overall

  1. Xingchao Peng
  2. Yichen Li

Papers from Pascal Kaiser's perspective

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

Their papers