Leighton Pate Barnes

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 7 papers; trusts 54 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Leighton Pate Barnes trusts overall

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

  1. Yanjun Han
  2. John C. Duchi
  3. A. Garg
  4. Roman Vershynin
  5. Ayfer Özgür
  6. Ram Zamir
  7. Yuchen Zhang
  8. P. Venkitasubramaniam
  9. Alejandro Ribeiro
  10. Tengyu Ma

Who trusts Leighton Pate Barnes overall

  1. Wei-Ning Chen
  2. Ayfer Özgür
  3. Jayadev Acharya
  4. Yanjun Han
  5. Peter Kairouz
  6. Huseyin A. Inan
  7. Berivan Isik
  8. Clément Louis Canonne
  9. Ziteng Sun
  10. Yuhan Liu

Papers from Leighton Pate Barnes's perspective

Ordered by how strongly the researchers Leighton Pate Barnes 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers