Daniel Le

Artificial Intelligence · with Anibal · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it
• Natural Language Processing — 48 citations into it
• Evaluation & Benchmarks — 23 citations into it
• Large Language Models — 17 citations into it

Whom Daniel Le trusts overall

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

1. Ronald J. Williams
2. Alec Radford
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Diederik P. Kingma
6. Chin-Yew Lin
7. Jacob Devlin
8. Ilya Sutskever

Who trusts Daniel Le overall

1. Adyasha Maharana

Papers from Daniel Le's perspective

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

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

Their papers

• CoTexT: Multi-task Learning with Code-Text Transformer (2021) — 160 citations
• ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning (2020) — 68 citations