Pushpak Bhattacharyya

Artificial Intelligence · 2006–2021

A researcher in the Science corpus: 9 papers; trusts 128 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Pushpak Bhattacharyya trusts overall

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

  1. Philipp Koehn
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Rico Sennrich
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Jörg Tiedemann
  8. Kyunghyun Cho
  9. Dzmitry Bahdanau
  10. Christopher D. Manning

Who trusts Pushpak Bhattacharyya overall

  1. Ivan Provilkov
  2. Raj Dabre
  3. Dmitrii Emelianenko
  4. Guillaume Lample
  5. Kyubyong Park
  6. Zewen Chi
  7. Alexis Conneau
  8. Soujanya Poria
  9. Elena Voita

Papers from Pushpak Bhattacharyya's perspective

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

Their papers