Mummadi Chaithanya Kumar

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 107 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mummadi Chaithanya Kumar trusts overall

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

  1. Ian J. Goodfellow
  2. Christian Szegedy
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Yoshua Bengio
  8. Yann LeCun
  9. Seyed-Mohsen Moosavi-Dezfooli
  10. Evan Shelhamer

Who trusts Mummadi Chaithanya Kumar overall

  1. Omid Poursaeed
  2. Jan Hendrik Metzen
  3. Cihang Xie

Papers from Mummadi Chaithanya Kumar's perspective

Ordered by how strongly the researchers Mummadi Chaithanya 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet Large Scale Visual Recognition Challenge
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers