Mark B. Sandler

Computer Vision and Pattern Recognition · 2005–2016

A researcher in the Science corpus: 5 papers; trusts 22 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Mark B. Sandler trusts overall

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

  1. Sander Dieleman
  2. Diederik P. Kingma
  3. Elaine Chew
  4. Yoshua Bengio
  5. Yann LeCun
  6. Geoffrey E. Hinton
  7. Sergey Ioffe
  8. Tara N. Sainath
  9. Aäron van den Oord
  10. Alex Krizhevsky

Who trusts Mark B. Sandler overall

  1. Jongpil Lee
  2. Minz Won
  3. Dmitry Bogdanov
  4. Qiuqiang Kong
  5. Osman Semih Kayhan

Papers from Mark B. Sandler's perspective

Ordered by how strongly the researchers Mark B. Sandler 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. Learning Multiple Layers of Features from Tiny Images

Their papers