Ayush Shrivastava

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 240 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ayush Shrivastava trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Kaiming He
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Karen Simonyan
  7. Ilya Sutskever
  8. Yann LeCun
  9. Ross B. Girshick
  10. Sepp Hochreiter

Who trusts Ayush Shrivastava overall

  1. Valts Blukis
  2. Yicong Hong
  3. Gengze Zhou
  4. Alexander Pashevich
  5. Kevin Chen

Papers from Ayush Shrivastava's perspective

Ordered by how strongly the researchers Ayush Shrivastava 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers