Jihwan Bae
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it; #26,712 of 35,345 by trust here, #29,412 by citations
- Computer Vision and Pattern Recognition — 17 citations into it; #16,362 of 21,575 by trust here, #18,782 by citations
- Representation & Self-Supervised Learning — 9 citations into it
- Optimization & Training — 5 citations into it; #2,127 of 2,601 by trust here, #2,313 by citations
Whom Jihwan Bae trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Kaiming He
- Yann LeCun
- Diederik P. Kingma
- Oriol Vinyals
- Alex Graves
- Volodymyr Mnih
Who trusts Jihwan Bae overall
Papers from Jihwan Bae's perspective
Ordered by how strongly the researchers Jihwan Bae 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions