Juhan Bae
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it; #31,507 of 35,345 by trust here, #25,809 by citations
- Optimization & Training — 15 citations into it; #2,430 of 2,601 by trust here, #2,428 by citations
- Probabilistic & Bayesian Methods — 13 citations into it; #1,417 of 1,525 by trust here, #1,390 by citations
- Computer Vision and Pattern Recognition — 9 citations into it
Whom Juhan Bae trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Alex Graves
- Yarin Gal
- Karen Simonyan
- Sergey Ioffe
- Geoffrey E. Hinton
- Christian Szegedy
- Radford M. Neal
- Andrew Zisserman
- James Martens
Who trusts Juhan Bae overall
Papers from Juhan Bae's perspective
Ordered by how strongly the researchers Juhan 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
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Studying Large Language Model Generalization with Influence Functions (2023) — 343 citations
- Eigenvalue Corrected Noisy Natural Gradient (2018) — 19 citations