Chang Yi
Artificial Intelligence · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 37 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 43 citations into it
- Computer Vision and Pattern Recognition — 36 citations into it; #19,232 of 21,575 by trust here, #17,757 by citations
- Optimization & Training — 21 citations into it
- Safety, Robustness & Interpretability — 17 citations into it
- Model Architectures — 10 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Signal Processing — 6 citations into it
Whom Chang Yi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- L. V. D. van der Maaten
- L. Eon Bottou
- Yann LeCun
- Yoshua Bengio
- Kaiming He
- Ilya Sutskever
- Karen Simonyan
- Jimmy Ba
Who trusts Chang Yi overall
Papers from Chang Yi's perspective
Ordered by how strongly the researchers Chang Yi 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)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge