Logan Riggs Smith

Artificial Intelligence · 2023

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

Subfields

• Artificial Intelligence — 11 citations into it

Whom Logan Riggs Smith trusts overall

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

1. Kunihiko Fukushima
2. Georgios Georgiadis

Papers from Logan Riggs Smith's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. Efficient sparse coding algorithms
4. The Pile: An 800GB Dataset of Diverse Text for Language Modeling
5. ImageNet classification with deep convolutional neural networks
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
9. Long Short-Term Memory
10. Gradient-based learning applied to document recognition

Their papers

• Sparse Autoencoders Find Highly Interpretable Features in Language Models (2023) — 1,374 citations