Rahul Kidambi

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 8 papers; trusts 183 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Rahul Kidambi trusts overall

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

  1. Yurii E. Nesterov
  2. Francis R. Bach
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Sham M. Kakade
  6. Kaiming He
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Boris Polyak
  10. Yoshua Bengio

Who trusts Rahul Kidambi overall

  1. Chaoyue Liu
  2. Michael Janner
  3. Sham M. Kakade
  4. Tianhe Yu
  5. Ruosong Wang
  6. Sergey Levine
  7. Mikhail Belkin
  8. Rong Ge
  9. Jerry Ma
  10. Mahmoud Assran

Papers from Rahul Kidambi's perspective

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

Their papers