Bert Huang

Artificial Intelligence · 2012–2017

A researcher in the Science corpus: 10 papers; trusts 96 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Bert Huang trusts overall

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

  1. David A. McAllester
  2. Martin J. Wainwright
  3. B. Taskar
  4. Diederik P. Kingma
  5. Mehryar Mohri
  6. Matthew Richardson
  7. Daphne Koller
  8. Geoffrey E. Hinton
  9. Bin Yu
  10. Michael Collins

Who trusts Bert Huang overall

  1. Ben London
  2. Jiawei Chen
  3. Himan Abdollahpouri
  4. Lingxiao Huang
  5. Luca Oneto
  6. Lise Getoor
  7. Ivan Donadello
  8. Sarasi Lalithsena
  9. Theodoros Rekatsinas
  10. Yifan Wang

Papers from Bert Huang's perspective

Ordered by how strongly the researchers Bert Huang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers