Prafulla Kumar Choubey
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 42 citations into it
- Natural Language Processing — 41 citations into it
- Safety, Robustness & Interpretability — 15 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Sociology and Political Science — 6 citations into it
Whom Prafulla Kumar Choubey trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rico Sennrich
- Diederik P. Kingma
- Yoon Kim
- Jimmy Ba
- Geoffrey E. Hinton
- Barry Haddow
- Yoshua Bengio
- Philipp Koehn
- Chris Dyer
- Ashish Vaswani
Papers from Prafulla Kumar Choubey's perspective
Ordered by how strongly the researchers Prafulla Kumar Choubey trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Improving Gender Translation Accuracy with Filtered Self-Training (2021) — 11 citations
- In Plain Sight: Media Bias Through the Lens of Factual Reporting (2019) — 129 citations