J. Peplinski

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Peplinski trusts overall

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

  1. Karol J. Piczak
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Jimmy Ba
  5. Oriol Vinyals
  6. Benoit Jacob
  7. Jort Florent Gemmeke
  8. Yoshua Bengio
  9. Alex Krizhevsky
  10. Yann LeCun

Who trusts J. Peplinski overall

  1. Yu Zhang

Papers from J. Peplinski's perspective

Ordered by how strongly the researchers J. Peplinski 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Distilling the Knowledge in a Neural Network (arXiv.org)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers