Adam Vogel

Artificial Intelligence · 2008–2014

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Adam Vogel trusts overall

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

  1. Richard S. Sutton
  2. Andrew Barto
  3. Christopher J. C. H. Watkins
  4. Stephen C. Levinson
  5. David M. Blei
  6. Andrew Y. Ng
  7. David Leo Wright Hall
  8. Geoffrey E. Hinton
  9. David E. Rumelhart
  10. Thomas Kollar

Who trusts Adam Vogel overall

  1. Yoav Artzi
  2. Saif M. Mohammad
  3. David L. Chen
  4. Karthik Narasimhan
  5. Jacob Andreas
  6. Hannaneh Hajishirzi
  7. Bing Liu
  8. Sahisnu Mazumder
  9. Luke S. Zettlemoyer
  10. Regina Barzilay

Papers from Adam Vogel's perspective

Ordered by how strongly the researchers Adam Vogel 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Reinforcement Learning: An Introduction

Their papers