Clifton A. Poth
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 59 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 100 citations into it; #24,354 of 35,345 by trust here, #12,244 by citations
- Natural Language Processing — 84 citations into it; #4,206 of 5,688 by trust here, #3,053 by citations
- Computer Vision and Pattern Recognition — 53 citations into it; #15,160 of 21,575 by trust here, #8,502 by citations
- Evaluation & Benchmarks — 38 citations into it
- Representation & Self-Supervised Learning — 20 citations into it
Whom Clifton A. Poth trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jonas Pfeiffer
- Geoffrey E. Hinton
- Yoshua Bengio
- Andreas Ruckl'e
- Diederik P. Kingma
- Iryna Gurevych
- Ilya Sutskever
- Jacob Devlin
- Alex Krizhevsky
- Yann LeCun
Who trusts Clifton A. Poth overall
Papers from Clifton A. Poth's perspective
Ordered by how strongly the researchers Clifton A. Poth 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- AdapterHub: A Framework for Adapting Transformers (2020) — 753 citations
- What to Pre-Train on? Efficient Intermediate Task Selection (2021) — 108 citations