Pete Warden

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 8 papers; trusts 71 researchers and is trusted by 159 researchers here, as inferred from the citation graph.

Subfields

Whom Pete Warden trusts overall

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

  1. Tara N. Sainath
  2. Liangzhen Lai
  3. Alex Krizhevsky
  4. Vassil Panayotov
  5. Kaiming He
  6. Carolina Parada
  7. Geoffrey E. Hinton
  8. Naveen Suda
  9. Andrew G. Howard
  10. Jia Deng

Who trusts Pete Warden overall

  1. Yuan Gong
  2. Zhifeng Kong
  3. Gaurav Menghani
  4. Friedemann Zenke
  5. Ankit Gupta
  6. Matthew Baas
  7. Ji Lin
  8. Wei Ping
  9. Jimmy Smith
  10. Aaqib Saeed

Papers from Pete Warden's perspective

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

Their papers