Joshua D. Batson

Geometry and Topology · 2008–2019

A researcher in the Science corpus: 3 papers; trusts 61 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Joshua D. Batson trusts overall

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

  1. Daniel A. Spielman
  2. Jacob Rasmussen
  3. Marc Lebrun
  4. Joachim Kock
  5. Yann LeCun
  6. Michael Elad
  7. Simon S. Haykin
  8. Mikhail Khovanov
  9. Pascal Vincent
  10. Olaf Ronneberger

Who trusts Joshua D. Batson overall

  1. Daniel A. Spielman
  2. David P. Woodruff
  3. Adam W. Marcus
  4. Roman Vershynin
  5. Nikhil Srivastava
  6. C. Stringer
  7. Maithra Raghu
  8. Alexander Krull
  9. Jacob Steinhardt
  10. Samuli Laine

Papers from Joshua D. Batson's perspective

Ordered by how strongly the researchers Joshua D. Batson 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers