Sayan Ghosh

Artificial Intelligence · with Wang · 2017–2022

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Sayan Ghosh trusts overall

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

  1. Oriol Vinyals
  2. Yoshua Bengio
  3. Steven Bird
  4. Ilya Sutskever
  5. Geoffrey E. Hinton
  6. Wojciech Zaremba
  7. Ruslan Salakhutdinov
  8. Diederik P. Kingma
  9. Ryan Kiros
  10. Sepp Hochreiter

Who trusts Sayan Ghosh overall

  1. Minlie Huang
  2. Tanmay Garg
  3. Alisa Liu
  4. Soujanya Poria
  5. Ying-Cheng Lu
  6. Samuel Gehman
  7. Hao Zhou
  8. Maarten Sap
  9. Zihao Fu
  10. Xiaoyan Zhu

Papers from Sayan Ghosh's perspective

Ordered by how strongly the researchers Sayan Ghosh 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers