Janis Klaise
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it; #12,062 of 35,345 by trust here, #20,377 by citations
- Safety, Robustness & Interpretability — 12 citations into it
- Statistics and Probability — 5 citations into it
Whom Janis Klaise trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hui Zou
- David E. Rumelhart
- Geoffrey E. Hinton
- Been Kim
- Bradley C. Boehmke
- Amit Dhurandhar
- Jake Snell
- Sandra Wachter
- I. Borg
- Heinrich Jiang
Who trusts Janis Klaise overall
Papers from Janis Klaise's perspective
Ordered by how strongly the researchers Janis Klaise 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
Their papers
- Interpretable Counterfactual Explanations Guided by Prototypes (2019) — 474 citations