Michael Pearce

Neural Information Processing Systems · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Michael Pearce trusts overall

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

  1. M. Powell
  2. Kirthevasan Kandasamy
  3. Frank Hutter
  4. Jasper Snoek
  5. John A. Nelder
  6. Rommel G. Regis
  7. Nikolaus Hansen
  8. Jost Tobias Springenberg
  9. José Miguel Hernández-Lobato
  10. Geoffrey E. Hinton

Who trusts Michael Pearce overall

  1. Shuhei Watanabe

Papers from Michael Pearce's perspective

Ordered by how strongly the researchers Michael Pearce 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. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  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