Uma Sawant

Artificial Intelligence · 2012–2014

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Uma Sawant trusts overall

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

  1. Chengxiang Zhai
  2. Paolo Boldi
  3. Thorsten Joachims
  4. Andrew McCallum
  5. Andrei Z. Broder
  6. Sayali Kulkarni
  7. Chun-Nam John Yu
  8. Sebastiano Vigna
  9. Mohamed Yahya
  10. Kamal Nigam

Who trusts Uma Sawant overall

  1. Mandar Joshi
  2. Rajarshi Das
  3. Soumen Chakrabarti
  4. Eunsol Choi
  5. Mohamed Yahya

Papers from Uma Sawant's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers