Bonan Min
Artificial Intelligence · 2009–2021
A researcher in the Science corpus: 3 papers; trusts 59 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 231 citations into it; #28,734 of 35,345 by trust here, #20,377 by citations
- Natural Language Processing — 152 citations into it
- Information Systems — 35 citations into it; #6,726 of 8,771 by trust here, #8,494 by citations
- Representation & Self-Supervised Learning — 18 citations into it
- Program Analysis & Verification — 10 citations into it; #210 of 301 by trust here, #293 by citations
- Management Science and Operations Research — 8 citations into it
- Software Engineering — 6 citations into it
- Computer Networks and Communications — 5 citations into it
Whom Bonan Min trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Tomas Mikolov
- Sepp Hochreiter
- Yann LeCun
- Oriol Vinyals
- Kaiming He
Who trusts Bonan Min overall
Papers from Bonan Min's perspective
Ordered by how strongly the researchers Bonan Min trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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)
Their papers
- Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey (2021) — 1,575 citations
- SimTyper: sound type inference for Ruby using type equality prediction (2021) — 10 citations
- Sybil-Resilient Online Content Voting (2009) — 340 citations