Melody Y. Guan
Artificial Intelligence · 2012–2019
A researcher in the Science corpus: 7 papers; trusts 161 researchers and is trusted by 524 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 80 citations into it; #2,575 of 35,345 by trust here, #2,131 by citations
- Computer Vision and Pattern Recognition — 43 citations into it; #1,892 of 21,575 by trust here, #1,749 by citations
- Model Architectures — 30 citations into it; #305 of 2,278 by trust here, #256 by citations
- Natural Language Processing — 24 citations into it
- Optimization & Training — 19 citations into it
- Evaluation & Benchmarks — 7 citations into it
- Statistics and Probability — 7 citations into it
- Statistical Learning Theory — 6 citations into it
Whom Melody Y. Guan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- L. Eon Bottou
- Diederik P. Kingma
- Yoshua Bengio
- Alex Krizhevsky
- Alex Graves
- Ilya Sutskever
- Quoc V. Le
- Yann LeCun
Who trusts Melody Y. Guan overall
- Quanming Yao
- Colin White
- Xuanyi Dong
- Renqian Luo
- Xiangxiang Chu
- Quoc V. Le
- Yong Guo
- Hanxiao Liu
- Xinbang Zhang
- Ekin Dogus Cubuk
Papers from Melody Y. Guan's perspective
Ordered by how strongly the researchers Melody Y. Guan trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Efficient Neural Architecture Search via Parameter Sharing (2018) — 3,045 citations
- Efficient Attention using a Fixed-Size Memory Representation (2017) — 32 citations
- Making AI Forget You: Data Deletion in Machine Learning (2019) — 709 citations
- Measurement of electron antineutrino oscillation based on 1230 days of operation of the Daya Bay experiment (2016) — 216 citations
- First results from the DarkSide-50 dark matter experiment at Laboratori Nazionali del Gran Sasso (2014) — 304 citations
- Observation of electron-antineutrino disappearance at Daya Bay. (2012) — 2,149 citations
- A side-by-side comparison of Daya Bay antineutrino detectors (2012) — 153 citations