Jacques Kaiser

Electrical and Electronic Engineering · 2018

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jacques Kaiser trusts overall

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

  1. Ronald J. Williams
  2. Diederik P. Kingma
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Hesham Mostafa
  6. Yoshua Bengio
  7. Timothy P. Lillicrap
  8. Jimmy Ba
  9. Alex Krizhevsky
  10. Wulfram Gerstner

Who trusts Jacques Kaiser overall

  1. Wei Fang
  2. Jason Kamran Eshraghian
  3. Zhaofei Yu
  4. Emre O. Neftci

Papers from Jacques Kaiser's perspective

Ordered by how strongly the researchers Jacques 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers