Julian Martin Eisenschlos

Artificial Intelligence · 2020–2024

A researcher in the Science corpus: 6 papers; trusts 134 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Julian Martin Eisenschlos trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Kenton C. T. Lee
  7. Percy Liang
  8. Jacob Devlin
  9. Kaiming He
  10. Yann LeCun

Who trusts Julian Martin Eisenschlos overall

  1. Yasumasa Onoe
  2. Alon Talmor
  3. Michael J.Q. Zhang
  4. Ori Yoran

Papers from Julian Martin Eisenschlos's perspective

Ordered by how strongly the researchers Julian Martin Eisenschlos trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers