Drew Bagnell

Artificial Intelligence · with Ross · 2006–2013

A researcher in the Science corpus: 6 papers; trusts 31 researchers and is trusted by 176 researchers here, as inferred from the citation graph.

Subfields

Whom Drew Bagnell trusts overall

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

  1. Bernt Øksendal
  2. Pieter Abbeel
  3. Andrew Y. Ng
  4. Daphne Koller
  5. Elad Hazan
  6. Stéphane Mallat
  7. William W. Cohen
  8. Aude Gemma Billard
  9. Matthew J. Streeter
  10. Abhimanyu Das

Who trusts Drew Bagnell overall

  1. Sergey Levine
  2. Erik Talvitie
  3. J. Bagnell
  4. Aravind Rajeswaran
  5. Josiah P. Hanna
  6. Arun Venkatraman
  7. Vladlen Koltun
  8. Pieter Abbeel
  9. Stéphane Ross
  10. Peter Stone

Papers from Drew Bagnell's perspective

Ordered by how strongly the researchers Drew Bagnell trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers