Jeremy Ma

Computer Vision and Pattern Recognition · 2012–2015

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jeremy Ma trusts overall

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

  1. Sebastian Thrun
  2. Jonathan Ko
  3. Radford M. Neal
  4. Tom Minka
  5. Steven M. LaValle
  6. Dieter Fox
  7. Brian D. Ziebart
  8. Arnaud Doucet
  9. Pete Trautman
  10. Dirk Helbing

Papers from Jeremy Ma's perspective

Ordered by how strongly the researchers Jeremy Ma 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. Pattern Recognition and Machine Learning
  6. ImageNet: A large-scale hierarchical image database
  7. Learning Multiple Layers of Features from Tiny Images
  8. Reinforcement Learning: An Introduction
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers