David M. Bradley

Artificial Intelligence · with Bagnell · 2006–2010

A researcher in the Science corpus: 5 papers; trusts 80 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom David M. Bradley trusts overall

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

  1. Yoshua Bengio
  2. Yann LeCun
  3. David M. Blei
  4. Nicolò Cesa-Bianchi
  5. Jyrki Kivinen
  6. Geoffrey E. Hinton
  7. Ruslan Salakhutdinov
  8. L. Eon Bottou
  9. Bo Pang
  10. Joel A. Tropp

Who trusts David M. Bradley overall

  1. Yoshua Bengio
  2. Nathan D. Ratliff
  3. J. Bagnell
  4. Sergey Levine
  5. Andriy Mnih
  6. Julien Mairal
  7. Jianchao Yang
  8. Pieter Abbeel
  9. Trevor Darrell
  10. Alexander V. Terekhov

Papers from David M. Bradley's perspective

Ordered by how strongly the researchers David M. Bradley 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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