Kensen Shi
Artificial Intelligence · 2018–2022
A researcher in the Science corpus: 6 papers; trusts 107 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 241 citations into it
- Natural Language Processing — 162 citations into it; #3,355 of 5,688 by trust here, #3,421 by citations
- Information Systems — 86 citations into it
- Computer Vision and Pattern Recognition — 59 citations into it
- Large Language Models — 57 citations into it
- Software — 50 citations into it
- Code Generation & Program Synthesis — 43 citations into it
- Model Architectures — 22 citations into it
Whom Kensen Shi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sumit Gulwani
- Miltiadis Allamanis
- Jacob Devlin
- Diederik P. Kingma
- Veselin Raychev
- Geoffrey E. Hinton
- Tomas Mikolov
- Yoshua Bengio
- Ilya Sutskever
- Rastislav Bodík
Who trusts Kensen Shi overall
Papers from Kensen Shi's perspective
Ordered by how strongly the researchers Kensen Shi trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- PaLM: Scaling Language Modeling with Pathways (2022) — 8,214 citations
- Natural Language to Code Generation in Interactive Data Science Notebooks (2022) — 122 citations
- FrAngel: component-based synthesis with control structures (2018) — 61 citations
- BUSTLE: Bottom-up program-Synthesis Through Learning-guided Exploration (2020) — 61 citations
- Pre-trained Contextual Embedding of Source Code (2019) — 83 citations
- Learning and Evaluating Contextual Embedding of Source Code (2019) — 452 citations