Daniel Renshaw

2015

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Whom Daniel Renshaw trusts overall

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

  1. Pascal Vincent
  2. John C. Duchi
  3. Yoshua Bengio
  4. Hugo Larochelle
  5. Daniel Povey
  6. Geoffrey E. Hinton
  7. Elad Hazan
  8. L. Eon Bottou
  9. Yann LeCun
  10. Yoram Singer

Who trusts Daniel Renshaw overall

  1. Herman Kamper
  2. Thomas Schatz
  3. Maarten Versteegh
  4. David F. Harwath
  5. Emmanuel Azuh
  6. Michael Heck
  7. Aren Jansen
  8. Sakriani Watiasri Sakti
  9. James R. Glass
  10. Bin Wu

Papers from Daniel Renshaw's perspective

Ordered by how strongly the researchers Daniel Renshaw 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers