Raghu Bollapragada

Optimization & Training · 2016–2018

A researcher in the Science corpus: 4 papers; trusts 58 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Raghu Bollapragada trusts overall

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

  1. Alex Krizhevsky
  2. Jorge Nocedal
  3. Richard H. Byrd
  4. Farbod Roosta-Khorasani
  5. James Martens
  6. Yurii E. Nesterov
  7. Geoffrey E. Hinton
  8. Diederik P. Kingma
  9. Dimitri P. Bertsekas
  10. Kaiming He

Who trusts Raghu Bollapragada overall

  1. Nicolas Loizou
  2. Albert S. Berahas
  3. Zi-Mei Yao
  4. S. Meng
  5. Stefania Bellavia
  6. El Houcine Bergou
  7. Sharan Vaswani
  8. Frank E. Curtis
  9. Peter Richtárik
  10. Andre Milzarek

Papers from Raghu Bollapragada's perspective

Ordered by how strongly the researchers Raghu Bollapragada 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. ImageNet: A large-scale hierarchical image database
  7. Learning Multiple Layers of Features from Tiny Images
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers