Haewon Jeong
Computer Networks and Communications · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 30 citations into it
- Artificial Intelligence — 24 citations into it
- Computational Mechanics — 14 citations into it
- Optimization & Training — 9 citations into it
Whom Haewon Jeong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rashish Tandon
- Diederik P. Kingma
- Sebastian Ruder
- Sanghamitra Dutta
- Geoffrey E. Hinton
- Marc'Aurelio Ranzato
- E.J. Candes
- David E. Rumelhart
Who trusts Haewon Jeong overall
Papers from Haewon Jeong's perspective
Ordered by how strongly the researchers Haewon Jeong trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning representations by back-propagating errors
- ImageNet: A large-scale hierarchical image database
Their papers
- A Unified Coded Deep Neural Network Training Strategy based on Generalized PolyDot codes (2018) — 116 citations
- On the optimal recovery threshold of coded matrix multiplication (2017) — 318 citations