Nenad Tomašev

Artificial Intelligence · 2018–2025

A researcher in the Science corpus: 14 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nenad Tomašev trusts overall

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

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

Who trusts Nenad Tomašev overall

  1. Henrik Skaug Sætra
  2. Ioana Bica
  3. J. Acosta
  4. Harvineet Singh

Papers from Nenad Tomašev's perspective

Ordered by how strongly the researchers Nenad Tomašev 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers