Nimrod Segol

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 58 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Nimrod Segol trusts overall

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

  1. Diederik P. Kingma
  2. Charles Ruizhongtai Qi
  3. David Rydh
  4. Haggai Maron
  5. Geoffrey E. Hinton
  6. Jimmy Ba
  7. Alex Krizhevsky
  8. Max Welling
  9. Yann LeCun
  10. Sho Sonoda

Who trusts Nimrod Segol overall

  1. Hadar Serviansky
  2. Haggai Maron
  3. Siamak Ravanbakhsh
  4. Benjamin Bloem-Reddy
  5. Taco Cohen
  6. Jonathan Shlomi

Papers from Nimrod Segol's perspective

Ordered by how strongly the researchers Nimrod Segol 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. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers