Sayan Ghosh

Artificial Intelligence · with Bansal · 2020

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #21,534 of 35,345 by trust here, #23,077 by citations
• Natural Language Processing — 27 citations into it; #3,667 of 5,688 by trust here, #4,361 by citations
• Computer Vision and Pattern Recognition — 13 citations into it

Whom Sayan Ghosh trusts overall

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

1. Geoffrey E. Hinton
2. Ilya Sutskever
3. Yoshua Bengio
4. Jason Aaron Edward Weston
5. Peter Clark
6. Diederik P. Kingma
7. Scott E. Reed
8. Bo Pang
9. Alex Krizhevsky
10. Quoc V. Le

Who trusts Sayan Ghosh overall

1. Swarnadeep Saha
2. Gregor Betz
3. Prateek Yadav
4. Antonia Creswell

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

Their papers

• PRover: Proof Generation for Interpretable Reasoning over Rules (2020) — 84 citations