Shashank Jain

Natural Language Processing · 2020–2021

A researcher in the Science corpus: 4 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shashank Jain trusts overall

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

  1. Ondrej Dusek
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Dzmitry Bahdanau
  6. Ilya Sutskever
  7. Rick Dale
  8. Michael Lewis
  9. Kyunghyun Cho
  10. Alex Krizhevsky

Papers from Shashank Jain's perspective

Ordered by how strongly the researchers Shashank Jain trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Language Models are Unsupervised Multitask Learners
  10. Gradient-based learning applied to document recognition

Their papers