Keith A. Burghardt

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Keith A. Burghardt trusts overall

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

  1. Cosma Rohilla Shalizi
  2. Trevor J. Hastie
  3. Muhammad Bilal Zafar
  4. Chih-Jen Lin
  5. Yoav Freund
  6. Robert Tibshirani
  7. Jerome H. Friedman
  8. Richard S. Zemel
  9. Dan Claudiu Ciresan
  10. James P. Crutchfield

Who trusts Keith A. Burghardt overall

  1. Nazanin Alipourfard
  2. Kristina Lerman

Papers from Keith A. Burghardt's perspective

Ordered by how strongly the researchers Keith A. Burghardt 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. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. GENERATIVE ADVERSARIAL NETS

Their papers