Collin Burns

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 7 papers; trusts 133 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Collin Burns trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Kaiming He
  7. Yann LeCun
  8. Dan Hendrycks
  9. Jimmy Ba
  10. Alex Graves

Who trusts Collin Burns overall

  1. Dan Hendrycks
  2. Zhihong Shao
  3. Wes Gurnee
  4. Samuel Marks
  5. Amos Azaria
  6. Andy Arditi
  7. Xingyao Wang
  8. Keiran Paster
  9. Sean Welleck
  10. Daya Guo

Papers from Collin Burns's perspective

Ordered by how strongly the researchers Collin Burns 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. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers