Bin Dai

Artificial Intelligence · with Wipf · 2012–2020

A researcher in the Science corpus: 6 papers; trusts 507 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Dai trusts overall

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

  1. Diederik P. Kingma
  2. Yann LeCun
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Kaiming He
  7. Max Welling
  8. L. Eon Bottou
  9. Danilo Jimenez Rezende
  10. Alex Graves

Who trusts Bin Dai overall

  1. Robin Rombach
  2. Patrick Esser
  3. Zhisheng Xiao
  4. Javier Antorán Cabiscol
  5. Arash Vahdat
  6. Trevor Gale
  7. Björn Ommer
  8. Babak Ehteshami Bejnordi
  9. Yang He
  10. P. Muniain

Papers from Bin Dai's perspective

Ordered by how strongly the researchers Bin Dai 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers