Cunjun Yu
Artificial Intelligence · 2020
A researcher in the Science corpus: 3 papers; trusts 78 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 54 citations into it
- Computer Vision and Pattern Recognition — 36 citations into it
- Optimization & Training — 14 citations into it
- Model Architectures — 8 citations into it
- Natural Language Processing — 8 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Evaluation & Benchmarks — 6 citations into it
Whom Cunjun Yu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Ilya Sutskever
- Diederik P. Kingma
- Jimmy Ba
- Sepp Hochreiter
- Kyunghyun Cho
- Kaiming He
- J. Urgen Schmidhuber
Who trusts Cunjun Yu overall
- Zikang Zhou
- Ye Yuan
- Shao-Wei Liu
- Zikang Zhou
- Nigamaa Nayakanti
- Tianpei Gu
- Qingsong Wen
- Liushuai Shi
- Xinshuo Weng
- Jianping Wang
Papers from Cunjun Yu's perspective
Ordered by how strongly the researchers Cunjun Yu 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Balanced Activation for Long-tailed Visual Recognition (2020)
- Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction (2020) — 635 citations
- Balanced Meta-Softmax for Long-Tailed Visual Recognition (2020) — 801 citations