Marvin Kaster

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Marvin Kaster trusts overall

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

  1. Chin-Yew Lin
  2. Nils Reimers
  3. Danqi Chen
  4. Christopher D. Manning
  5. Wei Zhao
  6. Jason Baldridge
  7. Yang Gao
  8. Geoffrey E. Hinton
  9. Yoshua Bengio
  10. Dipanjan Das

Who trusts Marvin Kaster overall

  1. Sebastian Gehrmann
  2. Elizabeth Clark

Papers from Marvin Kaster's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers