Vikram S Chundawat

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 Vikram S Chundawat trusts overall

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

  1. Alex Krizhevsky
  2. Huaiyu Zhu
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Aditya Golatkar
  6. Matt Fredrikson
  7. Yann LeCun
  8. Yoshua Bengio
  9. Jonathan Brophy
  10. Diederik P. Kingma

Who trusts Vikram S Chundawat overall

  1. Yuanshun Yao

Papers from Vikram S Chundawat's perspective

Ordered by how strongly the researchers Vikram S Chundawat 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. Learning Multiple Layers of Features from Tiny Images
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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