Dongkwan Kim
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 57 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #24,650 of 35,345 by trust here, #28,481 by citations
- Graph Learning — 23 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
- Statistical and Nonlinear Physics — 13 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Molecular Biology — 9 citations into it
- Model Architectures — 6 citations into it
- Natural Language Processing — 5 citations into it
Whom Dongkwan Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Thomas Kipf
- Muhan Zhang
- Max Welling
- Alex Krizhevsky
- Jure Leskovec
- Tomas Mikolov
- Xavier Glorot
Who trusts Dongkwan Kim overall
Papers from Dongkwan Kim's perspective
Ordered by how strongly the researchers Dongkwan Kim trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision (2022) — 316 citations