Joonho Jang

Representation & Self-Supervised Learning · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Representation & Self-Supervised Learning — 15 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Joonho Jang trusts overall

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

1. Geoffrey E. Hinton
2. Gregory R. Koch
3. E. Tjong Kim Sang
4. Sam T. Roweis
5. L. V. D. van der Maaten
6. Bernhard Schölkopf
7. Tomas Mikolov

Papers from Joonho Jang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. GloVe: Global Vectors for Word Representation
4. Attention is All you Need (Neural Information Processing Systems)
5. Efficient Estimation of Word Representations in Vector Space
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation (2020) — 23 citations