Maciej Jan Korzepa
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it
- Probabilistic & Bayesian Methods — 11 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
- Optimization & Training — 5 citations into it
Whom Maciej Jan Korzepa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Maciej Jan Korzepa's perspective
Ordered by how strongly the researchers Maciej Jan Korzepa trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Pattern Recognition and Machine Learning
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Bayesian learning for neural networks
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Approximate Inference Turns Deep Networks into Gaussian Processes (2019) — 141 citations