Coleman Hooper

Artificial Intelligence · 2023–2024

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Coleman Hooper trusts overall

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

  1. Zi-Mei Yao
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Tim Dettmers
  5. Alex Krizhevsky
  6. Hugo Touvron
  7. Yoshua Bengio
  8. Kaiming He
  9. Zhen Dong
  10. Diederik P. Kingma

Who trusts Coleman Hooper overall

  1. Zhihong Shao

Papers from Coleman Hooper's perspective

Ordered by how strongly the researchers Coleman Hooper 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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