N. Grigorev
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 39 citations into it
- Natural Language Processing — 26 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Retrieval-Augmented Generation — 10 citations into it
Whom N. Grigorev trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Edouard Grave (in Artificial Intelligence)
- Angela Fan (in Natural Language Processing)
- Gautier Izacard (in Artificial Intelligence)
- Quoc V. Le (in Artificial Intelligence)
- Michael Lewis (in Natural Language Processing)
- Daniel Marcu (in Artificial Intelligence)
- Abdessamad Echihabi (in Artificial Intelligence)
- Yoshua Bengio (in Artificial Intelligence)
- Diederik P. Kingma (in Artificial Intelligence)
- Ilya Sutskever (in Artificial Intelligence)
Papers from N. Grigorev's perspective
Ordered by how strongly the researchers N. Grigorev trusts endorse each paper. Same corpus, a different order for every researcher.
- Language Models are Unsupervised Multitask Learners
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition