Pierric Cistac
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 165 citations into it
Whom Pierric Cistac trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma (in Artificial Intelligence)
Papers from Pierric Cistac's perspective
Ordered by how strongly the researchers Pierric Cistac trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Improving Language Understanding by Generative Pre-Training
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)
Their papers
- HuggingFace's Transformers: State-of-the-art Natural Language Processing (2019) — 4,184 citations
- Datasets: A Community Library for Natural Language Processing (2021) — 775 citations
- Transformers: State-of-the-Art Natural Language Processing (2020) — 24 citations
- HuggingFace's Transformers: State-of-the-art Natural Language Processing (2019)