Anirudh Vemula

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 72 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Anirudh Vemula trusts overall

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

  1. Sham M. Kakade
  2. Ronald J. Williams
  3. Richard S. Sutton
  4. J. Bagnell
  5. Yann LeCun
  6. Geoffrey E. Hinton
  7. Yurii E. Nesterov
  8. Christopher G. Atkeson
  9. Andrew Barto
  10. Yoshua Bengio

Who trusts Anirudh Vemula overall

  1. Boris Ivanovic
  2. Javad Amirian
  3. Hangjie Yuan
  4. Ye Yuan
  5. Tim Salzmann
  6. Changan Chen
  7. Rohan Chandra
  8. Marco Pavone
  9. Cunjun Yu
  10. Pu Zhang

Papers from Anirudh Vemula's perspective

Ordered by how strongly the researchers Anirudh Vemula 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. Long Short-Term Memory
  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