Jaehwan Lee

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #16,950 of 35,345 by trust here, #25,040 by citations
• Computer Vision and Pattern Recognition — 9 citations into it; #10,740 of 21,575 by trust here, #16,367 by citations

Whom Jaehwan Lee trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Kaiming He
3. Sergey Ioffe
4. Geoffrey E. Hinton
5. Ross B. Girshick
6. Christian Szegedy
7. Ilya Sutskever
8. Zhizhong Li
9. Yoshua Bengio
10. Pascal Vincent

Who trusts Jaehwan Lee overall

1. Kibok Lee

Papers from Jaehwan Lee's perspective

Ordered by how strongly the researchers Jaehwan Lee trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Learning Multiple Layers of Features from Tiny Images
5. GENERATIVE ADVERSARIAL NETS
6. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks (2018) — 31 citations