Deevashwer Rathee

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Deevashwer Rathee trusts overall

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

  1. Payman Mohassel
  2. Yehuda Lindell
  3. Craig Gentry
  4. Zvika Brakerski
  5. Donald Beaver
  6. Johannes Blömer
  7. Kaiming He
  8. Oded Goldreich
  9. M. Sadegh Riazi
  10. Junfeng Fan

Who trusts Deevashwer Rathee overall

  1. Zhicong Huang
  2. Bo Li

Papers from Deevashwer Rathee's perspective

Ordered by how strongly the researchers Deevashwer 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Going deeper with convolutions
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Long Short-Term Memory

Their papers