Yu Wang

Computer Vision and Pattern Recognition · with Bello · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it

Whom Yu Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. L. V. D. van der Maaten
2. Tobias Scheffer
3. Geoffrey E. Hinton
4. Wenjing Han
5. Shawn Hershey
6. Christian Decomain

Papers from Yu Wang's perspective

Ordered by how strongly the researchers Yu Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• SONYC-UST-V2: An Urban Sound Tagging Dataset with Spatiotemporal Context (2020) — 49 citations
• Active Learning for Efficient Audio Annotation and Classification with a Large Amount of Unlabeled Data (2019) — 26 citations