Amit Jindal

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amit Jindal trusts overall

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

  1. Karol J. Piczak
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Yoon Kim
  6. Yann LeCun
  7. Ilya Sutskever
  8. Diederik P. Kingma
  9. Richard Socher
  10. Kaiming He

Papers from Amit Jindal's perspective

Ordered by how strongly the researchers Amit Jindal 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers