Yi-Yen Hsieh

Computer Vision and Pattern Recognition · 2019

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

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it

Whom Yi-Yen Hsieh trusts overall

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

1. Lovedeep Gondara
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Djork-Arné Clevert
5. Jimmy Ba
6. Xugang Lu
7. Li Deng

Papers from Yi-Yen Hsieh's perspective

Ordered by how strongly the researchers Yi-Yen Hsieh trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders (2019) — 308 citations