Like Hui
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it; #17,266 of 35,345 by trust here, #29,412 by citations
- Computer Vision and Pattern Recognition — 13 citations into it; #10,929 of 21,575 by trust here, #18,782 by citations
- Evaluation & Benchmarks — 9 citations into it
- Natural Language Processing — 9 citations into it
- Model Architectures — 5 citations into it
- Signal Processing — 5 citations into it
Whom Like Hui trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Iroon Polytechniou
- Alex Krizhevsky
- Geoffrey E. Hinton
- Mingxing Tan
- Yann LeCun
- Yoshua Bengio
- Jacob Devlin
- Quoc V. Le
- Hua He
Who trusts Like Hui overall
- Hyounguk Shon
- Alessandro Achille
- Jeremy M. Cohen
- Aditya Golatkar
- Janghyeon Lee
- Simran Kaur
- Avinash Ravichandran
- Seungwook Kim
Papers from Like Hui's perspective
Ordered by how strongly the researchers Like Hui 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions