Nihar B. Shah

Statistics and Probability · 2010–2015

A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Nihar B. Shah trusts overall

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

  1. Alexandre B. Tsybakov
  2. Sourav Chatterjee
  3. Roberto Imbuzeiro Oliveira
  4. Stephen Grossberg
  5. Sandra Heldsinger
  6. Eric R. Ziegel
  7. Bernhard Schölkopf
  8. Cheng Huang
  9. Sahand N. Negahban
  10. Sewoong Oh

Who trusts Nihar B. Shah overall

  1. Gauri Joshi
  2. Salim el Rouayheb
  3. Rafael G. L. D'Oliveira
  4. Min Ye
  5. Da Wang
  6. Hua Sun
  7. Zachary B. Charles
  8. Lingjiao Chen
  9. Julien M. Hendrickx
  10. Dimitris Papailiopoulos

Papers from Nihar B. Shah's perspective

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

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

Their papers