Snigdha Chaturvedi

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 5 papers; trusts 120 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Snigdha Chaturvedi trusts overall

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

  1. David Bamman
  2. Nathanael Chambers
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Yoshua Bengio
  7. Tomas Mikolov
  8. Richard Socher
  9. Alex Krizhevsky
  10. Mohit Iyyer

Who trusts Snigdha Chaturvedi overall

  1. Daniel Khashabi
  2. Lea Frermann
  3. Tushar Khot
  4. Zhongyang Li
  5. Jiaao Chen
  6. Swaroop Mishra
  7. Rowan Zellers
  8. György Szarvas
  9. Kai Sun
  10. Qian Li

Papers from Snigdha Chaturvedi's perspective

Ordered by how strongly the researchers Snigdha Chaturvedi 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers