Qifan Wang
Artificial Intelligence · 2020
A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 102 citations into it
- Natural Language Processing — 69 citations into it
- Computer Vision and Pattern Recognition — 52 citations into it
- Model Architectures — 31 citations into it
Whom Qifan Wang trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Quoc V. Le (in Artificial Intelligence)
- Ilya Sutskever (in Artificial Intelligence)
- Kenton C. T. Lee (in Artificial Intelligence)
- Yoshua Bengio (in Artificial Intelligence)
- Oriol Vinyals (in Artificial Intelligence)
- Diederik P. Kingma (in Artificial Intelligence)
- Geoffrey E. Hinton (in Artificial Intelligence)
- Christopher D. Manning (in Artificial Intelligence)
- Jimmy Ba (in Artificial Intelligence)
- Ming-Wei Chang (in Artificial Intelligence)
Papers from Qifan Wang's perspective
Ordered by how strongly the researchers Qifan Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- 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
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
Their papers
- Big Bird: Transformers for Longer Sequences (2020) — 2,963 citations
- ETC: Encoding Long and Structured Inputs in Transformers (2020) — 415 citations