Shuailong Liang
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 43 citations into it; #13,466 of 35,345 by trust here, #14,438 by citations
- Natural Language Processing — 38 citations into it; #2,525 of 5,688 by trust here, #3,053 by citations
- Evaluation & Benchmarks — 22 citations into it; #2,630 of 3,147 by trust here, #2,853 by citations
Whom Shuailong Liang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ernest Davis
- Geoffrey E. Hinton
- Nasrin Mostafazadeh
- Rishi Sharma
- Jacob Devlin
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Kaiming He
Who trusts Shuailong Liang overall
- Timo Schick
- Cunxiang Wang
- Bodhisattwa Prasad Majumder
- Bill Yuchen Lin
- Peter Hase
- Hinrich Schütze
- Oana-Maria Camburu
- Veronica Latcinnik
- W. Yu
- Thomas Lukasiewicz
Papers from Shuailong Liang's perspective
Ordered by how strongly the researchers Shuailong Liang 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)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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
- Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation (2019) — 113 citations
- SemEval-2020 Task 4: Commonsense Validation and Explanation (2020) — 105 citations