Bofang Li
Artificial Intelligence · 2016–2020
A researcher in the Science corpus: 3 papers; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 67 citations into it
- Natural Language Processing — 51 citations into it
- Computer Vision and Pattern Recognition — 23 citations into it
- Representation & Self-Supervised Learning — 21 citations into it
- Model Architectures — 15 citations into it
Whom Bofang Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard Socher
- Tomas Mikolov
- Ilya Sutskever
- Yoshua Bengio
- Geoffrey E. Hinton
- Christopher D. Manning
- Yoon Kim
- Quoc V. Le
- Yoav Goldberg
- Diederik P. Kingma
Who trusts Bofang Li overall
Papers from Bofang Li's perspective
Ordered by how strongly the researchers Bofang Li trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- 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)
Their papers
- AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search (2020) — 112 citations
- The (too Many) Problems of Analogical Reasoning with Word Vectors (2017) — 88 citations
- Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification (2016) — 25 citations