Prasann Singhal

Artificial Intelligence · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Prasann Singhal trusts overall

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

  1. Ilya Sutskever
  2. Sergey Ioffe
  3. Dzmitry Bahdanau
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Christian Szegedy
  7. Oriol Vinyals
  8. Diederik P. Kingma
  9. Kenton Murray
  10. Kyunghyun Cho

Who trusts Prasann Singhal overall

  1. Yann Dubois
  2. Lichang Chen
  3. Bal'azs Galambosi

Papers from Prasann Singhal's perspective

Ordered by how strongly the researchers Prasann Singhal 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers