Songhao Piao
Natural Language Processing · 2020
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 36 citations into it; #4,864 of 5,688 by trust here, #2,364 by citations
- Artificial Intelligence — 30 citations into it; #29,784 of 35,345 by trust here, #10,798 by citations
Whom Songhao Piao trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma (in Artificial Intelligence)
- Quoc V. Le (in Artificial Intelligence)
- Jimmy Ba (in Artificial Intelligence)
- Christopher D. Manning (in Artificial Intelligence)
- Chin-Yew Lin (in Natural Language Processing)
Who trusts Songhao Piao
Papers from Songhao Piao's perspective
Ordered by how strongly the researchers Songhao Piao 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)
- 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)
- Bleu: a Method for Automatic Evaluation of Machine Translation
- 5分で分かる!? 有名論文ナナメ読み:Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
- RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
Their papers
- UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training (2020) — 428 citations
- Pseudo-Masked Language Models for Unified Language Model Pre-Training (2020) — 4 citations