Dae Yon Jung
Computer Vision and Pattern Recognition · 2011
A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 14 citations into it; #13,368 of 21,575 by trust here, #16,367 by citations
- Representation & Self-Supervised Learning — 9 citations into it; #2,165 of 3,145 by trust here, #2,624 by citations
- Generative Models — 6 citations into it
- Artificial Intelligence — 5 citations into it; #21,609 of 35,345 by trust here, #25,040 by citations
- Media Technology — 5 citations into it
Whom Dae Yon Jung trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Radford M. Neal
- David G. Lowe
- Yoshua Bengio
- Paul Smolensky
- Alex Krizhevsky
- Honglak Lee
- Marc'Aurelio Ranzato
- Navneet Dalal
- Andrew Y. Ng
Who trusts Dae Yon Jung overall
Papers from Dae Yon Jung's perspective
Ordered by how strongly the researchers Dae Yon Jung 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)