Marcus Tomalin
Artificial Intelligence · 2017–2021
A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 39 citations into it
- Natural Language Processing — 39 citations into it
- Safety, Robustness & Interpretability — 19 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Marcus Tomalin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ashish Vaswani
- Matt Post
- Jieyu Zhao
- James Kalbach
- Yoshua Bengio
- Ilya Sutskever
- Geoffrey E. Hinton
- Joel Escudé Font
- Diederik P. Kingma
- Tomas Mikolov
Who trusts Marcus Tomalin overall
Papers from Marcus Tomalin's perspective
Ordered by how strongly the researchers Marcus Tomalin trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- The practical ethics of bias reduction in machine translation: why domain adaptation is better than data debiasing (2021) — 46 citations
- A Comparison of Neural Models for Word Ordering (2017) — 21 citations