Adam M. Oberman

Artificial Intelligence · 2007–2020

A researcher in the Science corpus: 8 papers; trusts 77 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Adam M. Oberman trusts overall

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

  1. L. Eon Bottou
  2. Diederik P. Kingma
  3. Edward J. Dean
  4. Matthew D. Zeiler
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Yann LeCun
  8. John C. Duchi
  9. Tamer Basar
  10. Roland Glowinski

Who trusts Adam M. Oberman overall

  1. Eitan Tadmor
  2. Susanne C. Brenner
  3. Alexandre Caboussat
  4. Jean-David Benamou
  5. Nicolas Loizou
  6. Michael Neilan
  7. Roland Glowinski
  8. Brittany D. Froese
  9. Danny C. Sorensen
  10. Filippo Santambrogio

Papers from Adam M. Oberman's perspective

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

Their papers