Jiaao Chen
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 7 papers; trusts 403 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 340 citations into it; #8,134 of 35,345 by trust here, #7,531 by citations
- Natural Language Processing — 196 citations into it; #1,769 of 5,688 by trust here, #2,634 by citations
- Computer Vision and Pattern Recognition — 125 citations into it
- Large Language Models — 67 citations into it
- Representation & Self-Supervised Learning — 51 citations into it
- Evaluation & Benchmarks — 47 citations into it
- Prompting & Reasoning — 37 citations into it
- Optimization & Training — 15 citations into it
Whom Jiaao Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
- Kaiming He
- Ruslan Salakhutdinov
- Alex Graves
- Ian J. Goodfellow
Who trusts Jiaao Chen overall
- Timo Schick
- Yanzhe Zhang
- Hinrich Schütze
- Diyi Yang
- Xuezhi Wang
- Yu Meng
- Shervin Minaee
- Zhongyang Li
- Markus Bayer
- Rongzhi Zhang
Papers from Jiaao Chen's perspective
Ordered by how strongly the researchers Jiaao Chen 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification (2020) — 415 citations
- Is ChatGPT a General-Purpose Natural Language Processing Task Solver? (2023) — 872 citations
- Let’s Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms (2019) — 72 citations
- An Empirical Survey of Data Augmentation for Limited Data Learning in NLP (2021) — 244 citations
- Incorporating Structured Commonsense Knowledge in Story Completion (2018) — 75 citations
- Continual Learning for Text Classification with Information Disentanglement Based Regularization (2021) — 141 citations
- Can Large Language Models Transform Computational Social Science? (2023) — 564 citations