T. K. Satish Kumar

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 6 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom T. K. Satish Kumar trusts overall

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

  1. David Silver
  2. Guni Sharon
  3. Richard S. Sutton
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Sepp Hochreiter
  7. Volodymyr Mnih
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. J. Urgen Schmidhuber

Papers from T. K. Satish Kumar's perspective

Ordered by how strongly the researchers T. K. Satish Kumar 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Asynchronous Methods for Deep Reinforcement Learning
  10. Reinforcement Learning: An Introduction

Their papers