Spencer J. Frazier

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 4 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 69 citations into it
• Natural Language Processing — 48 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Large Language Models — 23 citations into it
• Evaluation & Benchmarks — 9 citations into it
• Generative Models — 8 citations into it
• General Social Sciences — 5 citations into it

Whom Spencer J. Frazier trusts overall

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

1. Alec Radford
2. Andrea Esuli
3. Geoffrey E. Hinton
4. Jacob Devlin
5. Yoshua Bengio
6. Ilya Sutskever
7. Diederik P. Kingma
8. Kaiming He
9. Mark J van Rossum
10. Alex Krizhevsky

Papers from Spencer J. Frazier's perspective

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

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

Their papers

• Reducing Non-Normative Text Generation from Language Models (2020) — 33 citations
• Robust Preference Learning for Storytelling via Contrastive Reinforcement Learning (2022) — 15 citations
• Cut the CARP: Fishing for zero-shot story evaluation (2021) — 16 citations
• Fine-Tuning a Transformer-Based Language Model to Avoid Generating Non-Normative Text (2020) — 8 citations