Quentin Anthony

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 174 citations into it
• Large Language Models — 86 citations into it

Whom Quentin Anthony trusts overall

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

1. Geoffrey E. Hinton
2. Nicholas Carlini
3. Diederik P. Kingma
4. Yoshua Bengio
5. Alex Krizhevsky
6. Alec Radford
7. Ilya Sutskever
8. Kaiming He
9. Stella Biderman
10. Yann LeCun

Who trusts Quentin Anthony overall

1. Wes Gurnee
2. Tim Dettmers

Papers from Quentin Anthony's perspective

Ordered by how strongly the researchers Quentin Anthony 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Language Models are Unsupervised Multitask Learners
10. Language Models are Few-Shot Learners (Neural Information Processing Systems)

Their papers

• GPT-NeoX-20B: An Open-Source Autoregressive Language Model (2022) — 1,029 citations
• Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling (2023) — 2,009 citations
• Emergent and Predictable Memorization in Large Language Models (2023) — 192 citations