Emmanuel Kahembwe

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 5 papers; trusts 295 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Emmanuel Kahembwe trusts overall

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

  1. J. Urgen Schmidhuber
  2. Geoffrey E. Hinton
  3. Alex Graves
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Yann LeCun
  9. Sepp Hochreiter
  10. Kaiming He

Who trusts Emmanuel Kahembwe overall

  1. Anusha Nagabandi
  2. Chengyue Gong
  3. Angeliki Lazaridou
  4. Ignasi Clavera
  5. Jack W. Rae
  6. Hanxiao Liu
  7. Dilin Wang
  8. Chenguang Wang
  9. Ben Krause
  10. Stephen Merity

Papers from Emmanuel Kahembwe's perspective

Ordered by how strongly the researchers Emmanuel Kahembwe 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. 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. 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