Braden Hancock

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 8 papers; trusts 111 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Braden Hancock trusts overall

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

  1. Alexander J. Ratner
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Percy Liang
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Kaiming He
  9. Jason Aaron Edward Weston
  10. Jimmy Ba

Who trusts Braden Hancock overall

  1. Kurt Shuster
  2. Alexander J. Ratner
  3. Xi Ye
  4. Jing Xu
  5. Gabriel Recchia
  6. Emily Dinan
  7. Ahmed Elgohary
  8. Benedikt Boecking
  9. Jason Aaron Edward Weston
  10. Pang Wei Koh

Papers from Braden Hancock's perspective

Ordered by how strongly the researchers Braden Hancock 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers