R. Marchant

Artificial Intelligence · with Goldfarb-Tarrant · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Natural Language Processing — 26 citations into it
• Safety, Robustness & Interpretability — 25 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom R. Marchant trusts overall

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

1. Anne Lauscher
2. Jieyu Zhao
3. Tomas Mikolov
4. Hila Gonen
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Kenton C. T. Lee
8. Diederik P. Kingma
9. Ilya Sutskever
10. Aylin Caliskan

Who trusts R. Marchant overall

1. Gavin Abercrombie

Papers from R. Marchant's perspective

Ordered by how strongly the researchers R. Marchant 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. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Efficient Estimation of Word Representations in Vector Space
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Intrinsic Bias Metrics Do Not Correlate with Application Bias (2020) — 214 citations