Ariel Kleiner

Artificial Intelligence · 2011–2020

A researcher in the Science corpus: 3 papers; trusts 60 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Ariel Kleiner trusts overall

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

  1. Peter J. Bickel
  2. Hans R. Künsch
  3. Arnold J. Stromberg
  4. Kaiming He
  5. Christian Szegedy
  6. Geoffrey E. Hinton
  7. Sergey Ioffe
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. Quoc V. Le

Who trusts Ariel Kleiner overall

  1. Wojciech Zaremba
  2. Yuchen Zhang
  3. Robin Genuer
  4. Hyun Oh Song
  5. Peter Bhlmann
  6. Michael I. Jordan
  7. Leonard Hasenclever
  8. Andrew Brock
  9. Arthur Gretton
  10. Kaede Shiohara

Papers from Ariel Kleiner's perspective

Ordered by how strongly the researchers Ariel Kleiner 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers