Jeffrey D. Ullman

Artificial Intelligence · 1974–2011

A researcher in the Science corpus: 11 papers; trusts 28 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Jeffrey D. Ullman trusts overall

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

  1. Jon M. Kleinberg
  2. Muthu Dayalan
  3. Moses Charikar
  4. Monika Henzinger
  5. Piotr Indyk
  6. Jianbo Shi
  7. Aristides Gionis
  8. Siddharth Suri
  9. Rajeev Motwani
  10. Sariel Har-Peled

Who trusts Jeffrey D. Ullman overall

  1. Mehryar Mohri
  2. Ping Li
  3. David A. Wagner
  4. Michael Collins
  5. Vincent D. Blondel
  6. Henrik Jacobsson
  7. Brian Roark
  8. Whitney Tabor
  9. Steven M. LaValle
  10. Wolfgang Maass

Papers from Jeffrey D. Ullman's perspective

Ordered by how strongly the researchers Jeffrey D. Ullman 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. Normalized cuts and image segmentation
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. The Anatomy of a Large-Scale Hypertextual Web Search Engine
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Going deeper with convolutions
  9. Authoritative sources in a hyperlinked environment
  10. Pattern classification and scene analysis

Their papers