D. James

Optimization & Training · with González · 2015

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom D. James trusts overall

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

  1. Jorge Nocedal
  2. Jasper Snoek
  3. Carl E. Rasmussen
  4. Yee Whye Teh

Who trusts D. James overall

  1. Kirthevasan Kandasamy

Papers from D. James's perspective

Ordered by how strongly the researchers D. James 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. Practical Bayesian Optimization of Machine Learning Algorithms
  4. Learning Multiple Layers of Features from Tiny Images
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Algorithms for Hyper-Parameter Optimization
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers