Nantas Nardelli

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 9 papers; trusts 148 researchers and is trusted by 76 researchers here, as inferred from the citation graph.

Subfields

Whom Nantas Nardelli trusts overall

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

  1. Richard S. Sutton
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Gabriel Synnaeve
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Yann LeCun
  9. J. Urgen Schmidhuber
  10. Alex Graves

Who trusts Nantas Nardelli overall

  1. Tabish Rashid
  2. Tonghan Wang
  3. Jakob N. Foerster
  4. Mikayel Samvelyan
  5. Heinrich Kuttler
  6. Gregory Farquhar
  7. Christian Schröder de Witt
  8. Pablo Hernandez-Leal
  9. Shimon Whiteson
  10. Wendelin Böhmer

Papers from Nantas Nardelli's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers