Pratyush Kumar

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 5 papers; trusts 240 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pratyush Kumar trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Tomas Mikolov
  7. Ilya Sutskever
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Shaoqing Ren

Papers from Pratyush Kumar's perspective

Ordered by how strongly the researchers Pratyush Kumar 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. 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers