Tanmoy Chakraborty

Artificial Intelligence · 2014–2022

A researcher in the Science corpus: 5 papers; trusts 66 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tanmoy Chakraborty trusts overall

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

  1. Mark Newman
  2. Andrea Lancichinetti
  3. Jure Leskovec
  4. Santo Fortunato
  5. Aaron Clauset
  6. Jaewon Yang
  7. Vincent D. Blondel
  8. Geoffrey E. Hinton
  9. Yoshua Bengio
  10. Ilya Sutskever

Papers from Tanmoy Chakraborty's perspective

Ordered by how strongly the researchers Tanmoy Chakraborty 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers