Arjun Ashok

Artificial Intelligence · 2022

A researcher in the Science corpus: 3 papers; trusts 283 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Arjun Ashok trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yoshua Bengio
  5. K. J. Joseph
  6. Marc'Aurelio Ranzato
  7. Yann LeCun
  8. Diederik P. Kingma
  9. Arslan Chaudhry
  10. Ross B. Girshick

Who trusts Arjun Ashok overall

  1. Liyuan Wang
  2. Emanuele Frascaroli
  3. Xingxing Zhang
  4. Riccardo Benaglia

Papers from Arjun Ashok's perspective

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

Their papers