Chaithanya Kumar Mummadi

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chaithanya Kumar Mummadi trusts overall

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

  1. Xavier Gastaldi
  2. Kaiming He
  3. Ross B. Girshick
  4. Antti Tarvainen
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Piotr Doll'ar
  8. Saining Xie

Who trusts Chaithanya Kumar Mummadi overall

  1. Pengfei Chen

Papers from Chaithanya Kumar Mummadi's perspective

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

Their papers