Josh Attenberg
Computer Vision and Pattern Recognition · with Hall · 2014
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 7 citations into it
- Information Systems — 7 citations into it
- Recommender Systems — 6 citations into it
Whom Josh Attenberg trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Josh Attenberg's perspective
Ordered by how strongly the researchers Josh Attenberg trusts endorse each paper. Same corpus, a different order for every researcher.
- Latent Dirichlet Allocation
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)