Christopher Nemeth
Statistics and Probability · 2019
A researcher in the Science corpus: 1 paper; trusts 63 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 32 citations into it
- Artificial Intelligence — 27 citations into it
- Probabilistic & Bayesian Methods — 21 citations into it
- Mathematical Physics — 6 citations into it
Whom Christopher Nemeth trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Gareth O. Roberts
- Jackson Gorham
- Max Welling
- Tom Minka
- Rémi Bardenet
- Vivek S. Borkar
- Jeffrey S. Rosenthal
- Ruslan Salakhutdinov
- Arnak S. Dalalyan
Who trusts Christopher Nemeth overall
Papers from Christopher Nemeth's perspective
Ordered by how strongly the researchers Christopher Nemeth trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Stochastic Gradient Markov Chain Monte Carlo (2019) — 177 citations