Aseem Rastogi

Artificial Intelligence · 2012–2020

A researcher in the Science corpus: 5 papers; trusts 40 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Aseem Rastogi trusts overall

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

  1. Jeremy G. Siek
  2. Cormac Flanagan
  3. Sam Tobin-Hochstadt
  4. Walid Taha
  5. Payman Mohassel
  6. Matthias Felleisen
  7. Kaiming He
  8. Ran Canetti
  9. Jong-hoon An
  10. Oded Goldreich

Who trusts Aseem Rastogi overall

  1. Erik Krogh Kristensen
  2. John Peter Campora III
  3. Luna Phipps-Costin
  4. Satish Chandra
  5. Anders Møller
  6. Sheng Chen
  7. Carolyn Jane Anderson
  8. Arjun Guha
  9. Ming-Ho Yee
  10. Ronald Garcia

Papers from Aseem Rastogi's perspective

Ordered by how strongly the researchers Aseem Rastogi 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. Gradient-based learning applied to document recognition
  3. ImageNet: A large-scale hierarchical image database
  4. ImageNet classification with deep convolutional neural networks
  5. Learning Multiple Layers of Features from Tiny Images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Densely Connected Convolutional Networks
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers