Marc-André Kaufhold

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 48 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Marc-André Kaufhold trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Yann LeCun
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Kaiming He
  8. Alex Graves
  9. Ruslan Salakhutdinov
  10. Jimmy Ba

Who trusts Marc-André Kaufhold overall

  1. Maryam Rahnemoonfar
  2. Tashnim Chowdhury
  3. Argho Sarkar

Papers from Marc-André Kaufhold's perspective

Ordered by how strongly the researchers Marc-André Kaufhold 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  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. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers