Reid Pryzant
Artificial Intelligence · with Zhang · 2023–2024
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 109 citations into it
- Natural Language Processing — 33 citations into it
Whom Reid Pryzant trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Steven Bird
- Volodymyr Kuleshov
- Geoffrey E. Hinton
- Tianyu Gao
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- J.D. Zamfirescu-Pereira
- Kaiming He
- Ilya Sutskever
Who trusts Reid Pryzant overall
Papers from Reid Pryzant's perspective
Ordered by how strongly the researchers Reid Pryzant trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
Their papers
- Automatic Prompt Optimization with "Gradient Descent" and Beam Search (2023) — 730 citations
- Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone (2024) — 2,340 citations
- i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data (2023) — 4 citations