Kate Lytvynets
Artificial Intelligence · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Kate Lytvynets trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Kate Lytvynets overall
Papers from Kate Lytvynets's perspective
Ordered by how strongly the researchers Kate Lytvynets trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database