N. Bambos

Artificial Intelligence · 2000–2021

A researcher in the Science corpus: 5 papers; trusts 38 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom N. Bambos trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Yann LeCun
  4. Kaiming He
  5. Yurii E. Nesterov
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. L. Eon Bottou
  9. Diederik P. Kingma
  10. Xiangru Lian

Who trusts N. Bambos overall

  1. Vikram Chandrasekhar
  2. Zhengyuan Zhou
  3. Tianyi Lin
  4. Panayotis Mertikopoulos
  5. Jeffrey G. Andrews

Papers from N. Bambos's perspective

Ordered by how strongly the researchers N. Bambos 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. Gradient-based learning applied to document recognition
  4. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers