Dominik Bachmann

Artificial Intelligence · 2022

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 — 61 citations into it
• Safety, Robustness & Interpretability — 50 citations into it
• Information Systems — 6 citations into it

Whom Dominik Bachmann trusts overall

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

1. Sunipa Dev
2. Su Lin Blodgett
3. Kelloway E. Kevin
4. Yang Trista Cao
5. Abigail Z. Jacobs
6. Aylin Caliskan
7. A. Greenwald
8. Hanna M. Wallach
9. Moin Nadeem
10. Nikita Nangia

Papers from Dominik Bachmann's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Long Short-Term Memory
4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. GloVe: Global Vectors for Word Representation
9. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Undesirable biases in NLP: Averting a crisis of measurement (2022) — 8 citations