Andrew Bennett

Artificial Intelligence · with Artzi · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 108 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew Bennett trusts overall

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

  1. Nathan Kallus
  2. Judea Pearl
  3. J. Langford
  4. Diederik P. Kingma
  5. Jeffrey M. Wooldridge
  6. Geoffrey E. Hinton
  7. Lihong Li
  8. Richard S. Sutton
  9. Manabu Kuroki
  10. Ronald J. Williams

Who trusts Andrew Bennett overall

  1. Valts Blukis
  2. Mohit Shridhar
  3. Yoav Artzi
  4. Peter Anderson
  5. Khanh Nguyen
  6. Ross A. Knepper
  7. Nathan Kallus
  8. Howard Chen

Papers from Andrew Bennett's perspective

Ordered by how strongly the researchers Andrew Bennett 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers