Bongwan Kim
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it; #32,561 of 35,345 by trust here, #25,809 by citations
- Signal Processing — 23 citations into it; #7,026 of 7,572 by trust here, #5,086 by citations
- Speech & Audio — 20 citations into it; #981 of 1,076 by trust here, #900 by citations
- Generative Models — 12 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Model Architectures — 6 citations into it
Whom Bongwan Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Aäron van den Oord
- Geoffrey E. Hinton
- Wei Ping
- Ryuichi Yamamoto
- Andrew L. Maas
- Tim Salimans
- Yoshua Bengio
- Ryan J. Prenger
- Claude E. Shannon
Who trusts Bongwan Kim overall
Papers from Bongwan Kim's perspective
Ordered by how strongly the researchers Bongwan Kim trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- WaveNet: A Generative Model for Raw Audio
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database