Nikolai Rozanov

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Natural Language Processing — 24 citations into it
• Large Language Models — 8 citations into it

Whom Nikolai Rozanov trusts overall

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

1. Alec Radford

Papers from Nikolai Rozanov's perspective

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

1. Language Models are Unsupervised Multitask Learners
2. Attention is All you Need (Neural Information Processing Systems)
3. GloVe: Global Vectors for Word Representation
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Long Short-Term Memory
7. Improving Language Understanding by Generative Pre-Training
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
10. Gradient-based learning applied to document recognition

Their papers

• Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers (2020) — 93 citations