Martin Schmid

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 5 papers; trusts 38 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Schmid trusts overall

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

  1. Michael Bradley Johanson
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Yann LeCun
  6. Noam Brown
  7. Oriol Vinyals
  8. Sepp Hochreiter
  9. Ilya Sutskever
  10. Michael L. Littman

Who trusts Martin Schmid overall

  1. Zhuosheng Zhang
  2. Yiming Cui
  3. Minghao Hu
  4. Yuxi Li
  5. Noam Brown
  6. Yi Tay
  7. Ting-Wei Liu
  8. Neil Burch
  9. Qian Chen
  10. Shuohang Wang

Papers from Martin Schmid's perspective

Ordered by how strongly the researchers Martin Schmid 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers