Weonyoung Joo

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Representation & Self-Supervised Learning — 19 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Generative Models — 10 citations into it
• General Social Sciences — 7 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it

Whom Weonyoung Joo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Tom Minka
3. Geoffrey E. Hinton
4. Marco Cote
5. Max Welling
6. David M. Blei
7. Yoshua Bengio
8. Alex Krizhevsky
9. Jimmy Ba
10. Hemant Ishwaran

Who trusts Weonyoung Joo overall

1. Dushyant Rao

Papers from Weonyoung Joo's perspective

Ordered by how strongly the researchers Weonyoung Joo trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Dirichlet Variational Autoencoder (2019) — 123 citations
• Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation (2020) — 23 citations