Barry Y. Chen
Computer Vision and Pattern Recognition · 2004–2017
A researcher in the Science corpus: 4 papers; trusts 443 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 50 citations into it; #11,542 of 21,575 by trust here, #9,872 by citations
- Artificial Intelligence — 36 citations into it; #16,277 of 35,345 by trust here, #14,438 by citations
- Representation & Self-Supervised Learning — 21 citations into it; #1,910 of 3,145 by trust here, #2,042 by citations
- Model Architectures — 10 citations into it
- Optimization & Training — 6 citations into it
- Signal Processing — 5 citations into it; #6,941 of 7,572 by trust here, #6,355 by citations
Whom Barry Y. Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Christian Szegedy
- Andrew Zisserman
- Ilya Sutskever
- Sergey Ioffe
- Yoshua Bengio
- Yann LeCun
Who trusts Barry Y. Chen overall
Papers from Barry Y. Chen's perspective
Ordered by how strongly the researchers Barry Y. 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)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Improvements to Context Based Self-Supervised Learning (2017) — 125 citations
- Large-Scale Deep Learning on the YFCC100M Dataset (2015) — 32 citations
- Tandem Connectionist Feature Extraction for Conversational Speech Recognition (2004) — 23 citations
- Practical Ensemble Classification Error Bounds for Different Operating Points (2013) — 14 citations