Peng Chen
Computer Vision and Pattern Recognition · with Duan · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 93 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 37 citations into it
- Artificial Intelligence — 29 citations into it; #30,437 of 35,345 by trust here, #15,866 by citations
- Natural Language Processing — 24 citations into it; #4,945 of 5,688 by trust here, #3,687 by citations
- Model Architectures — 9 citations into it
Whom Peng Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Matthew D. Zeiler
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ilya Sutskever
- Kaiming He
- Alex Krizhevsky
- Dzmitry Bahdanau
- Yann LeCun
- Sepp Hochreiter
Who trusts Peng Chen overall
Papers from Peng Chen's perspective
Ordered by how strongly the researchers Peng Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Dense Procedure Captioning in Narrated Instructional Videos (2019) — 59 citations
- Question Generation for Question Answering (2017) — 295 citations