Nitin Madnani
Artificial Intelligence · 2010–2019
A researcher in the Science corpus: 5 papers; trusts 45 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 53 citations into it; #13,232 of 35,345 by trust here, #15,236 by citations
- Natural Language Processing — 31 citations into it; #2,612 of 5,688 by trust here, #3,897 by citations
- Evaluation & Benchmarks — 14 citations into it
- Safety, Robustness & Interpretability — 12 citations into it
- Information Systems — 8 citations into it
- Management Science and Operations Research — 7 citations into it
- Sociology and Political Science — 6 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Nitin Madnani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Regina Barzilay
- Dekang Lin
- William B. Dolan
- Peter F. Brown
- Chris Quirk
- Faisal Kamiran
- Philipp Koehn
- Dipanjan Das
- Xiaoming Xi
- Randall D. Penfield
Who trusts Nitin Madnani overall
- Wenpeng Yin
- Hua He
- Hinrich Schütze
- Shrimai Prabhumoye
- Wei Xu
- Kevin Gimpel
- Kuan-Hao Huang
- Yangfeng Ji
- Huan Sun
- Jimmy J. Lin
Papers from Nitin Madnani's perspective
Ordered by how strongly the researchers Nitin Madnani trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- 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
- Generating Phrasal and Sentential Paraphrases: A Survey of Data-Driven Methods (2010) — 316 citations
- The many dimensions of algorithmic fairness in educational applications (2019) — 61 citations
- Predicting Grammaticality on an Ordinal Scale (2014) — 91 citations
- Building Better Open-Source Tools to Support Fairness in Automated Scoring (2017) — 40 citations
- Re-examining Machine Translation Metrics for Paraphrase Identification (2012) — 250 citations