Inseop Chung
Computer Vision and Pattern Recognition · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 266 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 46 citations into it; #18,811 of 21,575 by trust here, #19,766 by citations
- Artificial Intelligence — 40 citations into it; #17,869 of 35,345 by trust here, #25,809 by citations
- Efficiency & Compression — 16 citations into it
- Model Architectures — 8 citations into it
- Generative Models — 7 citations into it
- Optimization & Training — 6 citations into it
Whom Inseop Chung trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Diederik P. Kingma
- Sergey Zagoruyko
- Yoshua Bengio
- Oriol Vinyals
- Jimmy Ba
- Yann LeCun
- Ross B. Girshick
Who trusts Inseop Chung overall
Papers from Inseop Chung's perspective
Ordered by how strongly the researchers Inseop Chung 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
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Feature-map-level Online Adversarial Knowledge Distillation (2020) — 155 citations
- Feature Fusion for Online Mutual Knowledge Distillation (2019) — 110 citations