Rikker Dockum

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Safety, Robustness & Interpretability — 38 citations into it
• Natural Language Processing — 27 citations into it

Whom Rikker Dockum trusts overall

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

1. Paul M. Postal
2. Jieyu Zhao
3. Hector J. Levesque
4. Rachel Rudinger

Papers from Rikker Dockum's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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 classification with deep convolutional neural networks
8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
9. GloVe: Global Vectors for Word Representation
10. Gender Bias in Coreference Resolution

Their papers

• Gender bias and stereotypes in Large Language Models (2023) — 460 citations