Jonathan D. Rosenblatt

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan D. Rosenblatt trusts overall

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

  1. Shai Shalev-Shwartz
  2. Ron Bekkerman
  3. Zhaoshi Meng
  4. Nati Srebro
  5. Konstantin Shvachko
  6. Qiang Liu
  7. Ohad Shamir
  8. Andrew L. Rukhin
  9. Mikhail Bilenko
  10. Ami Wiesel

Who trusts Jonathan D. Rosenblatt overall

  1. Prateek Jain
  2. Dong Yin
  3. Sham M. Kakade
  4. Kumar Kshitij Patel
  5. Jason D. Lee
  6. Yudong Chen
  7. Rahul Kidambi
  8. Aymeric Dieuleveut
  9. Stanislav Minsker
  10. Praneeth Netrapalli

Papers from Jonathan D. Rosenblatt's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  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: A large-scale hierarchical image database

Their papers