Nick Haber

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 5 papers; trusts 147 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Nick Haber trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Yoshua Bengio
  5. J. Urgen Schmidhuber
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Jimmy Ba
  9. Volodymyr Mnih
  10. Alex Graves

Who trusts Nick Haber overall

  1. Santhosh K. Ramakrishnan
  2. Nicholas Watters
  3. Damian Mrowca
  4. Kristen Grauman
  5. Adrià Puigdomènech Badia
  6. Tushar Nagarajan
  7. Dinesh Jayaraman
  8. Philipp Holl
  9. Loic Matthey

Papers from Nick Haber's perspective

Ordered by how strongly the researchers Nick Haber 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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