Eli VanderBilt

Computer Vision and Pattern Recognition · 2017–2024

A researcher in the Science corpus: 7 papers; trusts 266 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Eli VanderBilt trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Yann LeCun
  8. Ilya Sutskever
  9. Christian Szegedy
  10. Kyunghyun Cho

Who trusts Eli VanderBilt overall

  1. Luca Weihs
  2. Matt Deitke
  3. Tushar Nagarajan
  4. Daniel Gordon

Papers from Eli VanderBilt's perspective

Ordered by how strongly the researchers Eli VanderBilt 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Gradient-based learning applied to document recognition
  9. Going deeper with convolutions
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers