Steven Bohez

Artificial Intelligence · 2015–2025

A researcher in the Science corpus: 5 papers; trusts 20 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Steven Bohez trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Yann LeCun
  4. Alex Krizhevsky
  5. Tomas Mikolov
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. George A. Miller
  9. David E. Rumelhart
  10. Kaiming He

Who trusts Steven Bohez overall

  1. Sergey Levine
  2. Jie Tan

Papers from Steven Bohez's perspective

Ordered by how strongly the researchers Steven Bohez 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. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers