Ananth Raghunathan

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 8 papers; trusts 335 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Ananth Raghunathan trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Cynthia Dwork
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Kaiming He
  8. Yann LeCun
  9. Sepp Hochreiter
  10. Tomas Mikolov

Who trusts Ananth Raghunathan overall

  1. Badih Ghazi
  2. Albert Cheu
  3. Peter Kairouz
  4. Vitaly Feldman
  5. Borja Balle
  6. Lichao Sun
  7. Milad Nasr
  8. Victor Balcer
  9. Ravi Kumar
  10. Pasin Manurangsi

Papers from Ananth Raghunathan's perspective

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

Their papers