Jeff Da
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 71 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 48 citations into it; #29,756 of 35,345 by trust here, #18,186 by citations
- Natural Language Processing — 42 citations into it
- Large Language Models — 18 citations into it
- Evaluation & Benchmarks — 17 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
- Knowledge Graphs & Representation — 7 citations into it
- Prompting & Reasoning — 5 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Jeff Da trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rowan Zellers
- Jacob Devlin
- Geoffrey E. Hinton
- Jeffrey Pennington
- Yoshua Bengio
- Richard Socher
- Diederik P. Kingma
- Ilya Sutskever
- Li Lucy
- Alec Radford
Who trusts Jeff Da overall
Papers from Jeff Da's perspective
Ordered by how strongly the researchers Jeff Da 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
- Long Short-Term Memory
- 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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)