Nathaniel Ross Pinckney

Micro · 2019–2023

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Nathaniel Ross Pinckney trusts overall

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

1. Andrei Z. Broder
2. Ari Holtzman

Papers from Nathaniel Ross Pinckney's perspective

Ordered by how strongly the researchers Nathaniel Ross Pinckney 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Going deeper with convolutions
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Language Models are Few-Shot Learners (Neural Information Processing Systems)
9. Long Short-Term Memory
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture (2019) — 495 citations
• VerilogEval: Evaluating Large Language Models for Verilog Code Generation (2023) — 411 citations