Mark Eisen

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 65 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Eisen trusts overall

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

  1. Yurii E. Nesterov
  2. L. Eon Bottou
  3. Shai Shalev-Shwartz
  4. Aaron Defazio
  5. Diederik P. Kingma
  6. Tong Zhang
  7. Aryan Mokhtari
  8. Julien Mairal
  9. Richard S. Sutton
  10. Francis R. Bach

Who trusts Mark Eisen overall

  1. Changyang She
  2. S. Meng
  3. Yifei Shen
  4. Hoon Lee
  5. Chengjian Sun
  6. Yuanming Shi
  7. Khaled Ben Letaief
  8. Sharan Vaswani
  9. JingJing Wang
  10. Zhouyou Gu

Papers from Mark Eisen's perspective

Ordered by how strongly the researchers Mark Eisen 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  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