Tamali Banerjee

Natural Language Processing · 2018

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Tamali Banerjee trusts overall

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

  1. Ilya Sutskever
  2. Daniel Klein
  3. Rico Sennrich
  4. Yoshua Bengio
  5. Mathias Creutz
  6. Rohan Chitnis
  7. Kyunghyun Cho
  8. Junyoung Chung
  9. Oriol Vinyals
  10. Christopher D. Manning

Who trusts Tamali Banerjee overall

  1. Ivan Provilkov
  2. Kyubyong Park
  3. Dmitrii Emelianenko
  4. Joohong Lee
  5. Elena Voita
  6. Seongbo Jang

Papers from Tamali Banerjee's perspective

Ordered by how strongly the researchers Tamali Banerjee 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers