Winnie Wu
Artificial Intelligence · 2020
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 79 citations into it
- Natural Language Processing — 55 citations into it
Whom Winnie Wu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma (in Artificial Intelligence)
- Jimmy Ba (in Artificial Intelligence)
- Christopher D. Manning (in Artificial Intelligence)
- Yoshua Bengio (in Artificial Intelligence)
Papers from Winnie Wu's perspective
Ordered by how strongly the researchers Winnie Wu 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (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
- GloVe: Global Vectors for Word Representation
- Bleu: a Method for Automatic Evaluation of Machine Translation
- Improving Language Understanding by Generative Pre-Training
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
Their papers
- XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation (2020) — 398 citations
- GLGE: A New General Language Generation Evaluation Benchmark (2020) — 75 citations
- MIND: A Large-scale Dataset for News Recommendation (2020) — 670 citations