Zhiyuan Chen
Artificial Intelligence · 7 papers · 2013–2018
A researcher in the Science corpus: 7 papers; trusts 91 researchers and is trusted by 49 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 134 citations into it; #3,882 of 35,345 by trust here, #6,193 by citations
- Representation & Self-Supervised Learning — 42 citations into it
- Computer Vision and Pattern Recognition — 33 citations into it
- Natural Language Processing — 29 citations into it; #1,519 of 5,688 by trust here, #3,421 by citations
- Information Systems — 22 citations into it
- Meta & Continual Learning — 21 citations into it; #58 of 1,041 by trust here, #144 by citations
- Reinforcement Learning — 15 citations into it
- Optimization & Training — 12 citations into it
Whom Zhiyuan Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sinno Jialin Pan
- Sebastian Thrun
- B. Liu
- Thomas Hofmann
- Qiang Yang
- David M. Blei
- Geoffrey E. Hinton
- Rakesh Agrawal
- Ivan Titov
- Yoshua Bengio
Who trusts Zhiyuan Chen overall
Papers from Zhiyuan Chen's perspective
Ordered by how strongly the researchers Zhiyuan 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Lifelong machine learning: a paradigm for continuous learning (2017) — 333 citations
- Lifelong Machine Learning, Second Edition (2018) — 172 citations
- Lifelong Learning for Sentiment Classification (2015) — 159 citations
- Mining Aspect-Specific Opinion using a Holistic Lifelong Topic Model (2016) — 135 citations
- Mining topics in documents: standing on the shoulders of big data (2014) — 157 citations
- Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data (2014) — 194 citations
- Identifying Intention Posts in Discussion Forums (2013) — 76 citations