David Steurer

Artificial Intelligence · 2010–2017

A researcher in the Science corpus: 5 papers; trusts 30 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom David Steurer trusts overall

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

  1. Sanjeev Arora
  2. Prasad Raghavendra
  3. Daniel J. Hsu
  4. Anima Anandkumar
  5. Pravesh Kothari
  6. Sham M. Kakade
  7. Jacob Steinhardt
  8. Tengyu Ma
  9. E.J. Candes
  10. Kevin A. Lai

Who trusts David Steurer overall

  1. Samuel B. Hopkins
  2. Pravesh Kothari
  3. Jerry Zheng Li
  4. Tsui-Wei Weng
  5. Tengyu Ma

Papers from David Steurer's perspective

Ordered by how strongly the researchers David Steurer 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. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers