Tom Yeh
Computer Vision and Pattern Recognition · with Gajos · 2013–2017
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 18 citations into it
- Sociology and Political Science — 7 citations into it
- Human-Computer Interaction — 5 citations into it
Whom Tom Yeh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Tom Yeh's perspective
Ordered by how strongly the researchers Tom Yeh 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge