Joseph Worsham

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Natural Language Processing — 18 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Large Language Models — 8 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Joseph Worsham trusts overall

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

1. Alec Radford
2. Geoffrey E. Hinton
3. R. Caruana
4. Ilya Sutskever
5. Sebastian Ruder
6. Yoshua Bengio
7. Diederik P. Kingma
8. Alex Krizhevsky
9. Quoc V. Le
10. Kaiming He

Who trusts Joseph Worsham overall

1. Katikapalli Subramanyam Kalyan

Papers from Joseph Worsham's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Multi-task learning for natural language processing in the 2020s: where are we going? (2020) — 93 citations