Rohan Alexander

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #33,507 of 35,345 by trust here, #32,362 by citations
• Natural Language Processing — 12 citations into it; #5,364 of 5,688 by trust here, #5,412 by citations
• Large Language Models — 9 citations into it; #708 of 799 by trust here, #778 by citations

Whom Rohan Alexander trusts overall

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

1. Jacob Devlin
2. Joseph P. Turian
3. Yoshua Bengio
4. Colin Raffel
5. Noam Shazeer

Who trusts Rohan Alexander overall

1. Anastasia Chan

Papers from Rohan Alexander's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
10. A Neural Probabilistic Language Model

Their papers

• Detecting Hate Speech with GPT-3 (2021) — 140 citations