Aditya V. Nori

Artificial Intelligence · 2009–2018

A researcher in the Science corpus: 10 papers; trusts 197 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Aditya V. Nori trusts overall

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

  1. Radford M. Neal
  2. David Wingate
  3. Geoffrey E. Hinton
  4. Noah D. Goodman
  5. Alex Krizhevsky
  6. Judea Pearl
  7. Jerome H. Friedman
  8. Yoshua Bengio
  9. Benjamin Livshits
  10. Diederik P. Kingma

Who trusts Aditya V. Nori overall

  1. Timon Gehr
  2. Aleksandar Chakarov
  3. Vijayaraghavan Murali
  4. Martin T. Vechev
  5. Rick Salay
  6. Sasa Misailovic
  7. Miltiadis Allamanis
  8. Siegfried Rasthofer
  9. Jan-Willem van de Meent
  10. David Tolpin

Papers from Aditya V. Nori's perspective

Ordered by how strongly the researchers Aditya V. Nori 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. 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. Long Short-Term Memory
  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. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers