Jagadeesh Jagarlamudi

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jagadeesh Jagarlamudi trusts overall

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

  1. David M. Blei
  2. T. Griffiths
  3. Michael I. Jordan
  4. Kiri L. Wagstaff
  5. Sugato Basu
  6. Simon Lacoste-Julien
  7. David D. Lewis
  8. Daniel Ramage
  9. Andrew Y. Ng
  10. Mark Steyvers

Who trusts Jagadeesh Jagarlamudi overall

  1. Jia Liu
  2. Shuai Wang
  3. Soujanya Poria
  4. Sergey I. Nikolenko
  5. Ryan J. Gallagher
  6. Zhiyuan Chen
  7. Olivier Toubia
  8. Michael J. Paul
  9. Erik Cambria
  10. Sergei Koltcov

Papers from Jagadeesh Jagarlamudi's perspective

Ordered by how strongly the researchers Jagadeesh Jagarlamudi 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers