John Kirchenbauer

Artificial Intelligence · 2023

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom John Kirchenbauer trusts overall

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

  1. Franziska Boenisch
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Noam Shazeer
  5. Alec Radford
  6. Diederik P. Kingma
  7. Yann LeCun
  8. Alex Krizhevsky
  9. Ilya Sutskever
  10. Kaiming He

Who trusts John Kirchenbauer overall

  1. Baizhou Huang
  2. Rohan Taori
  3. Jinyan Su
  4. Vinu Sankar Sadasivan
  5. Xuandong Zhao
  6. Jakob Mokander
  7. Kalpesh Krishna
  8. Terry Yue Zhuo
  9. Sina Alemohammad
  10. Xiao-Jun Wan

Papers from John Kirchenbauer's perspective

Ordered by how strongly the researchers John Kirchenbauer 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. 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. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers