Yang Li
Artificial Intelligence · with Bengio · 2007–2019
A researcher in the Science corpus: 5 papers; trusts 138 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 44 citations into it; #30,809 of 35,345 by trust here, #10,667 by citations
- Computer Vision and Pattern Recognition — 31 citations into it; #18,894 of 21,575 by trust here, #15,162 by citations
- Model Architectures — 23 citations into it; #1,972 of 2,278 by trust here, #1,726 by citations
- Optimization & Training — 13 citations into it
- Human-Computer Interaction — 12 citations into it; #1,661 of 2,253 by trust here, #1,588 by citations
- Cognitive Neuroscience — 9 citations into it; #7,949 of 10,852 by trust here, #8,363 by citations
- Natural Language Processing — 9 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
Whom Yang Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Graves
- Alex Krizhevsky
- Diederik P. Kingma
- Kaiming He
- Matthew D. Zeiler
- Jimmy Ba
- Sepp Hochreiter
- Ilya Sutskever
Who trusts Yang Li overall
Papers from Yang Li's perspective
Ordered by how strongly the researchers Yang Li 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
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- You Look Twice: GaterNet for Dynamic Filter Selection in CNNs (2018) — 111 citations
- Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks (2019) — 1,573 citations
- Time-Dependent Representation for Neural Event Sequence Prediction (2017) — 64 citations
- User-defined motion gestures for mobile interaction (2011) — 492 citations
- Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes (2007) — 889 citations