Mayank Rathee

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Mayank Rathee trusts overall

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

  1. Payman Mohassel
  2. Kaiming He
  3. Ran Canetti
  4. Oded Goldreich
  5. Yehuda Lindell
  6. Yann LeCun
  7. Jia Deng
  8. Craig Gentry
  9. Donald Beaver
  10. Daniel Demmler

Who trusts Mayank Rathee overall

  1. Marcel Keller
  2. Bo Li
  3. Zhicong Huang

Papers from Mayank Rathee's perspective

Ordered by how strongly the researchers Mayank Rathee 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. ImageNet: A large-scale hierarchical image database
  5. Learning Multiple Layers of Features from Tiny Images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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