Rohan Ramanath

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 2 papers; trusts 67 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 83 citations into it
• Computer Vision and Pattern Recognition — 51 citations into it
• Natural Language Processing — 33 citations into it
• Model Architectures — 31 citations into it

Whom Rohan Ramanath trusts overall

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

1. Yoshua Bengio
2. Kyunghyun Cho
3. Geoffrey E. Hinton
4. Dzmitry Bahdanau
5. Ilya Sutskever
6. Oriol Vinyals
7. Diederik P. Kingma
8. Alex Graves
9. Alex Krizhevsky
10. Yann LeCun

Papers from Rohan Ramanath's perspective

Ordered by how strongly the researchers Rohan Ramanath trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• An Attentive Survey of Attention Models (2019) — 766 citations
• Disagreeable Privacy Policies: Mismatches between Meaning and Users’ Understanding (2014) — 300 citations