Sungrae Park
Artificial Intelligence · 2017–2021
A researcher in the Science corpus: 6 papers; trusts 334 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 144 citations into it
- Computer Vision and Pattern Recognition — 129 citations into it
- Representation & Self-Supervised Learning — 35 citations into it
- Model Architectures — 32 citations into it
- Optimization & Training — 31 citations into it
- Efficiency & Compression — 18 citations into it
- Generative Models — 13 citations into it
- Safety, Robustness & Interpretability — 12 citations into it
Whom Sungrae Park trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Yann LeCun
- Yoshua Bengio
- Jimmy Ba
- Ilya Sutskever
- Ian J. Goodfellow
- Alex Graves
Who trusts Sungrae Park overall
- Yassine Ouali
- Yanbei Chen
- Xiangli Yang
- Xiangnan He
- Qinwei Xu
- J. Ainslie
- Ben Athiwaratkun
- Céline Hudelot
- Massimiliano Mancini
- Zixing Song
Papers from Sungrae Park's perspective
Ordered by how strongly the researchers Sungrae Park 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Adversarial Dropout for Supervised and Semi-supervised Learning (2017) — 186 citations
- SWAD: Domain Generalization by Seeking Flat Minima (2021) — 606 citations
- Dirichlet Variational Autoencoder (2019) — 123 citations
- What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis (2019) — 570 citations
- Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching (2021) — 197 citations
- Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model (2020) — 3 citations