Pawan Kumar Mudigonda

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Pawan Kumar Mudigonda trusts overall

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

  1. Bernhard Schölkopf
  2. Diederik P. Kingma
  3. Boris Polyak
  4. Juergen Landes
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Ian J. Goodfellow
  8. Alex Krizhevsky
  9. Max Welling
  10. Yann LeCun

Who trusts Pawan Kumar Mudigonda overall

  1. Gyeongsik Moon
  2. Diane Bouchacourt
  3. Mikolaj Binkowski
  4. Kevin Roth
  5. L. Eon Bottou
  6. Alexey A. Gritsenko

Papers from Pawan Kumar Mudigonda's perspective

Ordered by how strongly the researchers Pawan Kumar Mudigonda 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