Dhruv Shah

Artificial Intelligence · arXiv.org · 2020–2025

A researcher in the Science corpus: 8 papers; trusts 382 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dhruv Shah trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Yann LeCun
  8. Ilya Sutskever
  9. Sergey Levine
  10. J. Urgen Schmidhuber

Who trusts Dhruv Shah overall

  1. Gengze Zhou
  2. Chen Huang
  3. Li Chen
  4. Ajay Kumar Sridhar
  5. Chan Hee Song
  6. O. Team
  7. Boyuan Chen
  8. Jimmy Wu
  9. Yunfan Jiang
  10. Roya Firoozi

Papers from Dhruv Shah's perspective

Ordered by how strongly the researchers Dhruv Shah 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers