R. Nadkarni

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it; #34,802 of 35,345 by trust here, #23,077 by citations

Whom R. Nadkarni trusts

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

1. Percy Liang (in Artificial Intelligence)

Who trusts R. Nadkarni

1. Wenhu Chen (in Artificial Intelligence)

Papers from R. Nadkarni's perspective

Ordered by how strongly the researchers R. Nadkarni trusts endorse each paper. Same corpus, a different order for every researcher.

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
4. Attention is All you Need (Neural Information Processing Systems)
5. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet classification with deep convolutional neural networks
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Binding Language Models in Symbolic Languages (2022) — 322 citations