John Tomaszewski

Computer Vision and Pattern Recognition · 2004–2017

A researcher in the Science corpus: 7 papers; trusts 4 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom John Tomaszewski trusts overall

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

  1. Yann LeCun
  2. Yoshua Bengio
  3. Serge Beucher

Who trusts John Tomaszewski overall

  1. Jocelyn Barker

Papers from John Tomaszewski's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  5. Building high-level features using large scale unsupervised learning
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Support-Vector Networks
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers