Jacob D. Abernethy

Artificial Intelligence · 2008–2019

A researcher in the Science corpus: 8 papers; trusts 38 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Jacob D. Abernethy trusts overall

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

  1. Martin A. Zinkevich
  2. Nicolò Cesa-Bianchi
  3. Elad Hazan
  4. Adam Tauman Kalai
  5. Peter L. Bartlett
  6. Diederik P. Kingma
  7. Yoav Freund
  8. Jyrki Kivinen
  9. Olivier Bousquet
  10. Cynthia Dwork

Who trusts Jacob D. Abernethy overall

  1. Elad Hazan
  2. Shai Shalev-Shwartz
  3. Satyen Kale
  4. H. Brendan McMahan
  5. Francesco Orabona
  6. Sébastien Bubeck
  7. Alexander Rakhlin
  8. Tianbao Yang
  9. Mehrdad Mahdavi
  10. Gregory F. Coppola

Papers from Jacob D. Abernethy's perspective

Ordered by how strongly the researchers Jacob D. Abernethy 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. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. GENERATIVE ADVERSARIAL NETS
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers