Pradyumna Tambwekar

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 5 papers; trusts 45 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Pradyumna Tambwekar trusts overall

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

  1. Ronald J. Williams
  2. Richard S. Sutton
  3. Mark O. Riedl
  4. Ilya Sutskever
  5. Andrew Y. Ng
  6. Geoffrey E. Hinton
  7. Yoshua Bengio
  8. Sepp Hochreiter
  9. David Bamman
  10. J. Urgen Schmidhuber

Who trusts Pradyumna Tambwekar overall

  1. Tomasz Korbak
  2. Mark O. Riedl
  3. Upol Ehsan
  4. Dan Otter
  5. Muhammad Khalifa
  6. Prithviraj Ammanabrolu
  7. Amal Alabdulkarim
  8. Karolina Stańczak
  9. Sarah Wiegreffe
  10. Hady ElSahar

Papers from Pradyumna Tambwekar's perspective

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

Their papers