Jacob T. Schwartz

Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition · 1980–2011

A researcher in the Science corpus: 3 papers; trusts 0 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Who trusts Jacob T. Schwartz overall

  1. Hua Sun
  2. Graham Cormode
  3. Henry Corrigan-Gibbs
  4. Yevgeniy Dodis
  5. Valentine Kabanets
  6. Justin Thaler
  7. Dan Boneh
  8. Oded Goldreich
  9. Marc Giusti
  10. Jonas Klappert

Papers from Jacob T. Schwartz's perspective

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

  1. On Computable Numbers, with an Application to the Entscheidungsproblem.
  2. Reading Digits in Natural Images with Unsupervised Feature Learning
  3. Unbiased look at dataset bias
  4. Evasion Attacks against Machine Learning at Test Time
  5. Calibrating Energy-based Generative Adversarial Networks
  6. Deep Learning without Poor Local Minima
  7. How transferable are features in deep neural networks?
  8. Conditional Image Generation with PixelCNN Decoders
  9. Exploring the Neural Algorithm of Artistic Style
  10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers