Woohyun Kang

2020

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

Whom Woohyun Kang trusts overall

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

1. Diederik P. Kingma
2. Michael F. Hutchinson
3. Wei Ping
4. Sergey Ioffe

Papers from Woohyun Kang's perspective

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

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. WaveNet: A Generative Model for Raw Audio
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Density estimation using Real NVP
8. Long Short-Term Memory
9. Gradient-based learning applied to document recognition
10. Improved Variational Inference with Inverse Autoregressive Flow

Their papers

• WaveNODE: A Continuous Normalizing Flow for Speech Synthesis (2020) — 12 citations