Ayush Kumar Tarun

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ayush Kumar Tarun trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Aditya Golatkar
  4. Geoffrey E. Hinton
  5. Jonathan Brophy
  6. Yann LeCun
  7. Yoshua Bengio
  8. Pang Wei Koh
  9. Diederik P. Kingma
  10. Alexey Dosovitskiy

Papers from Ayush Kumar Tarun's perspective

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

Their papers