Kuan-Yu Chen
Artificial Intelligence · with Lee · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it
- Speech & Audio — 22 citations into it; #720 of 1,076 by trust here, #941 by citations
- Signal Processing — 20 citations into it
- Natural Language Processing — 17 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
- Generative Models — 10 citations into it
Whom Kuan-Yu Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Sutskever
- Yoshua Bengio
- Geoffrey E. Hinton
- Yu-An Chung
- Alex Graves
- Kyunghyun Cho
- Tomas Mikolov
- Oriol Vinyals
- Diederik P. Kingma
- Alex Krizhevsky
Who trusts Kuan-Yu Chen overall
Papers from Kuan-Yu Chen's perspective
Ordered by how strongly the researchers Kuan-Yu Chen 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- GENERATIVE ADVERSARIAL NETS
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)