Ji-Hoon Kim
Artificial Intelligence · with Lee · 2020–2021
A researcher in the Science corpus: 3 papers; trusts 45 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 56 citations into it; #34,495 of 35,345 by trust here, #28,481 by citations
- Signal Processing — 31 citations into it; #7,474 of 7,572 by trust here, #6,591 by citations
- Computer Vision and Pattern Recognition — 30 citations into it
- Speech & Audio — 25 citations into it
- Generative Models — 24 citations into it
- Optimization & Training — 7 citations into it
Whom Ji-Hoon Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Tero Karras
- Yoshua Bengio
- Alex Krizhevsky
- Aäron van den Oord
- Jimmy Ba
- Ilya Loshchilov
- Karen Simonyan
- Yann LeCun
Who trusts Ji-Hoon Kim overall
Papers from Ji-Hoon Kim's perspective
Ordered by how strongly the researchers Ji-Hoon Kim 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)
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
Their papers
- Multi-SpectroGAN: High-Diversity and High-Fidelity Spectrogram Generation with Adversarial Style Combination for Speech Synthesis (2020) — 60 citations
- Fre-GAN: Adversarial Frequency-consistent Audio Synthesis (2021) — 61 citations
- Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model (2020) — 3 citations