Shubham Agarwal

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 68 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shubham Agarwal trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Jimmy Ba
  5. Yoshua Bengio
  6. Sepp Hochreiter
  7. Shaoqing Ren
  8. Alex Krizhevsky
  9. Ilya Sutskever
  10. Ross B. Girshick

Who trusts Shubham Agarwal overall

  1. Xiuyi Chen
  2. Yue Wang
  3. Can Xu

Papers from Shubham Agarwal's perspective

Ordered by how strongly the researchers Shubham Agarwal 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Going deeper with convolutions

Their papers