Nagarajan Natarajan
Artificial Intelligence · 2013–2021
A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 39 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it
- Molecular Biology — 18 citations into it; #3,543 of 17,773 by trust here, #14,833 by citations
- Information Systems — 12 citations into it
- Natural Language Processing — 12 citations into it
- Genetics — 7 citations into it
- Software — 7 citations into it
Whom Nagarajan Natarajan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Prateek Jain
- Mark Dredze
- Yongjin Li
- Fantine Mordelet
- Koby Crammer
- Albert-László Barabási
- Meghana Kshirsagar
- Guillaume Stempfel
- Inderjit S. Dhillon
- Philip M. Long
Who trusts Nagarajan Natarajan overall
- Bo Han
- Giorgio Patrini
- Himanshu Kumar
- Curtis G. Northcutt
- Sainbayar Sukhbaatar
- Tongliang Liu
- Xiaobo Xia
- Qiaoyu Tan
- Hwanjun Song
- Görkem Algan
Papers from Nagarajan Natarajan's perspective
Ordered by how strongly the researchers Nagarajan Natarajan 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)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Language Models are Unsupervised Multitask Learners
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Jigsaw: Large Language Models meet Program Synthesis (2021) — 257 citations
- Inductive matrix completion for predicting gene–disease associations (2014) — 315 citations
- Learning with Noisy Labels (2013) — 1,313 citations