Saurabh Saxena

Automotive Engineering · with Pecht · 2016–2021

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Saurabh Saxena trusts overall

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

  1. Xiaosong Hu
  2. Bhaskar Saha
  3. James Bergstra
  4. Yi Li
  5. Ian J. Goodfellow
  6. Caihao Weng
  7. Christoph R. Birkl
  8. Abdel Aziz Taha
  9. Yoshua Bengio
  10. Radford M. Neal

Papers from Saurabh Saxena's perspective

Ordered by how strongly the researchers Saurabh Saxena 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Explaining and Harnessing Adversarial Examples

Their papers