Shivaram Kalyanakrishnan

Artificial Intelligence · 2006–2018

A researcher in the Science corpus: 5 papers; trusts 27 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Shivaram Kalyanakrishnan trusts overall

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

  1. Richard S. Sutton
  2. Longxin Lin
  3. Martin A. Riedmiller
  4. Javier García
  5. Peter Stone
  6. Steven D. Whitehead
  7. Ming Tan
  8. Andrew Barto
  9. Gavin Adrian Rummery
  10. Michail G. Lagoudakis

Who trusts Shivaram Kalyanakrishnan overall

  1. Kevin G. Jamieson
  2. Róbert Istvan Busa-Fekete
  3. Emilie Kaufmann
  4. Matthew J. Hausknecht
  5. Aadirupa Saha
  6. Raphaël Féraud
  7. Ruishan Liu
  8. Aurélien Garivier
  9. Phillip Swazinna
  10. Hamidreza Modares

Papers from Shivaram Kalyanakrishnan's perspective

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

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

Their papers