Hayaru Shouno
2014
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Hayaru Shouno trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hayaru Shouno's perspective
Ordered by how strongly the researchers Hayaru Shouno trusts endorse each paper. Same corpus, a different order for every researcher.
- Training Products of Experts by Minimizing Contrastive Divergence
- Estimation of Non-Normalized Statistical Models by Score Matching
- Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- GENERATIVE ADVERSARIAL NETS
- Attention is All you Need (Neural Information Processing Systems)