Michael Kopp

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Kopp trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  3. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  4. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  5. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  6. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  7. X. Zhang (in Computer Vision and Pattern Recognition)
  8. Rob Fergus (in Computer Vision and Pattern Recognition)
  9. Geoffrey E. Hinton (in Artificial Intelligence)
  10. Diederik P. Kingma (in Artificial Intelligence)

Papers from Michael Kopp's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  6. Et al
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers