Colby Wight

Statistical and Nonlinear Physics · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Colby Wight trusts overall

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

  1. Maizar Raissi
  2. L. Eon Bottou
  3. Robert Hecht-Nielsen
  4. Chigozie Nwankpa
  5. Paris Perdikaris
  6. G. Em Karniadakis
  7. Jens Berg
  8. Jie Shen
  9. Winifred L. Ijomah
  10. Justin A. Sirignano

Papers from Colby Wight's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers