Max Glockner

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 66 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Max Glockner trusts overall

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

  1. Samuel R. Bowman
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Christopher D. Manning
  5. Richard Socher
  6. Diederik P. Kingma
  7. Jeffrey Pennington
  8. Qian Chen
  9. Ilya Sutskever
  10. Alex Krizhevsky

Who trusts Max Glockner overall

  1. Yixin Nie
  2. Qian Chen
  3. Steven Y. Feng
  4. Kyle Richardson
  5. Adina Williams
  6. Xiang Zhou
  7. Aarne Talman
  8. Dongyeop Kang
  9. Eduard H. Hovy
  10. Mohit Bansal

Papers from Max Glockner's perspective

Ordered by how strongly the researchers Max Glockner 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Gradient-based learning applied to document recognition

Their papers