Hao Song
Artificial Intelligence · with Filho · 2015–2019
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 13 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Hao Song trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hao Song's perspective
Ordered by how strongly the researchers Hao Song trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Densely Connected Convolutional Networks
- ImageNet classification with deep convolutional neural networks
- Wide Residual Networks
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- On Calibration of Modern Neural Networks
Their papers
- Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration (2019) — 547 citations
- with Subgroup (2015)