Rishav Chakravarti

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Rishav Chakravarti trusts overall

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

  1. Leslie N. Smith
  2. Chris Alberti
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Jacob Devlin
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Alex Krizhevsky
  9. Kenton C. T. Lee

Who trusts Rishav Chakravarti overall

  1. J. Scott McCarley
  2. Dayiheng Liu

Papers from Rishav Chakravarti's perspective

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

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

Their papers