Paul Neculoiu

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Neculoiu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Yann LeCun
  5. Yoshua Bengio
  6. Sepp Hochreiter
  7. Tomas Mikolov
  8. Alex Graves
  9. Sumit Chopra
  10. Alex Krizhevsky

Who trusts Paul Neculoiu overall

  1. Ziqi Wang
  2. Van-Khanh Tran
  3. Wenxuan Zhou
  4. Shervin Minaee
  5. Jyun-Yu Jiang
  6. Yujia Qin
  7. Sidharth Mudgal
  8. Le-Minh Nguyen
  9. Erik Cambria
  10. Mingyang Zhang

Papers from Paul Neculoiu's perspective

Ordered by how strongly the researchers Paul Neculoiu 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers