Jeffrey Quesnelle

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Model Architectures — 9 citations into it

Whom Jeffrey Quesnelle trusts overall

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

1. Tri Dao
2. Ashish Vaswani
3. Peter Shaw
4. Jonas Gehring
5. Rowan Zellers
6. Geoffrey E. Hinton
7. Dan Hendrycks

Who trusts Jeffrey Quesnelle overall

1. Zhihong Shao

Papers from Jeffrey Quesnelle's perspective

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

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

Their papers

• YaRN: Efficient Context Window Extension of Large Language Models (2023) — 587 citations