Nate Gruver

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Management Science and Operations Research — 12 citations into it
• Signal Processing — 12 citations into it

Whom Nate Gruver trusts overall

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

1. Tian Zhou
2. Andrew Gordon Wilson
3. Geoffrey E. Hinton
4. Hao Xue
5. Boris N. Oreshkin
6. Yoshua Bengio
7. Hugo Touvron
8. Diederik P. Kingma
9. Alex Krizhevsky
10. Haixu Wu

Who trusts Nate Gruver overall

1. Abhimanyu Das
2. Gerald Woo
3. Mononito Goswami
4. Weihao Kong

Papers from Nate Gruver's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Large Language Models Are Zero-Shot Time Series Forecasters (2023) — 788 citations