Lesia Semenova
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 145 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 188 citations into it
- Safety, Robustness & Interpretability — 75 citations into it
- Computer Vision and Pattern Recognition — 69 citations into it
- Statistical Learning Theory — 45 citations into it; #756 of 1,038 by trust here, #817 by citations
- Statistics and Probability — 39 citations into it
- Representation & Self-Supervised Learning — 36 citations into it
- Medical & Health AI — 30 citations into it
- Optimization & Training — 28 citations into it
Whom Lesia Semenova trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Rudin
- Vladimir Naumovich Vapnik
- Shahar Mendelson
- Peter L. Bartlett
- Theja Tulabandhula
- Olivier Bousquet
- Berk Ustun
- Geoffrey E. Hinton
- Leo Breiman
- Guillaume Lecué
Who trusts Lesia Semenova overall
- Cynthia Rudin
- Amanda Coston
- Ashesh Rambachan
- Zhi Chen
- Alexandra Chouldechova
- Charles Marx
- Aaron Fisher
Papers from Lesia Semenova's perspective
Ordered by how strongly the researchers Lesia Semenova trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- 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)