Prashant Mathur
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 44 citations into it; #25,167 of 35,345 by trust here, #25,809 by citations
- Natural Language Processing — 43 citations into it; #4,170 of 5,688 by trust here, #4,682 by citations
- Safety, Robustness & Interpretability — 14 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it; #15,473 of 21,575 by trust here, #17,258 by citations
Whom Prashant Mathur trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rico Sennrich
- Diederik P. Kingma
- Philipp Koehn
- Ashish Vaswani
- Matt Post
- Geoffrey E. Hinton
- Yoshua Bengio
- Jimmy Ba
- Ilya Sutskever
- Kyunghyun Cho
Who trusts Prashant Mathur overall
Papers from Prashant Mathur's perspective
Ordered by how strongly the researchers Prashant Mathur 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)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Training Neural Machine Translation to Apply Terminology Constraints (2019) — 191 citations
- Improving Gender Translation Accuracy with Filtered Self-Training (2021) — 11 citations
- Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017 (2018) — 2,896 citations
- Cancer Statistics, 2020: Report From National Cancer Registry Programme, India (2020) — 891 citations