Joseph D. Viviano
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 43 citations into it
- Safety, Robustness & Interpretability — 29 citations into it; #1,635 of 2,251 by trust here, #1,780 by citations
- Natural Language Processing — 23 citations into it
- Evaluation & Benchmarks — 10 citations into it
- Information Systems — 9 citations into it
- Large Language Models — 8 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Safety Research — 5 citations into it
Whom Joseph D. Viviano trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alec Radford
- Geoffrey E. Hinton
- Zeerak Talat
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Edouard Grave
- Timo Schick
- Tomas Mikolov
Who trusts Joseph D. Viviano overall
Papers from Joseph D. Viviano's perspective
Ordered by how strongly the researchers Joseph D. Viviano trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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)
Their papers
- What’s in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus (2021) — 144 citations