Deepak K. Agarwal

Artificial Intelligence · 2008–2016

A researcher in the Science corpus: 9 papers; trusts 49 researchers and is trusted by 79 researchers here, as inferred from the citation graph.

Subfields

Whom Deepak K. Agarwal trusts overall

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

  1. Ruslan Salakhutdinov
  2. Yehuda Koren
  3. David M. Blei
  4. Eric R. Ziegel
  5. Radford M. Neal
  6. Andriy Mnih
  7. T. Griffiths
  8. Arthur P. Dempster
  9. Geoffrey E. Hinton
  10. Robert M. Bell

Who trusts Deepak K. Agarwal overall

  1. Hao Wang
  2. Lihong Li
  3. Qingyun Wu
  4. Wei Chu
  5. Shuang-Hong Yang
  6. Hang Li
  7. Yue Shi
  8. Chong Wang
  9. Hongning Wang
  10. Wu-Jun Li

Papers from Deepak K. Agarwal's perspective

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

Their papers