Raj Nath Patel

Natural Language Processing · 2016

A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 34 citations into it
• Artificial Intelligence — 33 citations into it; #28,656 of 35,345 by trust here, #18,186 by citations
• Model Architectures — 6 citations into it
• Large Language Models — 5 citations into it

Whom Raj Nath Patel trusts overall

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

1. Yoshua Bengio
2. Philipp Koehn
3. Paul J. Werbos
4. Holger Schwenk
5. Sepp Hochreiter
6. Kyunghyun Cho
7. Alex Graves
8. Geoffrey E. Hinton
9. Kaisheng Yao
10. J. Urgen Schmidhuber

Who trusts Raj Nath Patel overall

1. Ondrej Bojar
2. Rajen Chatterjee
3. Eva Vanmassenhove

Papers from Raj Nath Patel's perspective

Ordered by how strongly the researchers Raj Nath Patel 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. Long Short-Term Memory
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. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Personalized Machine Translation: Preserving Original Author Traits (2016) — 125 citations
• Translation Quality Estimation using Recurrent Neural Network (2016) — 25 citations