Tristan Naumann

Artificial Intelligence · 2014–2023

A researcher in the Science corpus: 12 papers; trusts 85 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Tristan Naumann trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Andrew Y. Ng
  7. Yuan Luo
  8. Radford M. Neal
  9. Ilya Sutskever
  10. Kaiming He

Who trusts Tristan Naumann overall

  1. Marzyeh Ghassemi
  2. Irene Y. Chen
  3. Adnan Qayyum
  4. Khansa Rasheed

Papers from Tristan Naumann's perspective

Ordered by how strongly the researchers Tristan Naumann 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers