Alexander Lyzhov
Artificial Intelligence · 2020–2023
A researcher in the Science corpus: 2 papers; trusts 56 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 72 citations into it; #31,053 of 35,345 by trust here, #19,018 by citations
- Computer Vision and Pattern Recognition — 21 citations into it
- Safety, Robustness & Interpretability — 14 citations into it
- Probabilistic & Bayesian Methods — 13 citations into it
- Optimization & Training — 11 citations into it
- Model Architectures — 7 citations into it
Whom Alexander Lyzhov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Max Welling
- Kaiming He
- Christian Szegedy
- Yoshua Bengio
- Karen Simonyan
- Yann LeCun
- Ilya Sutskever
Who trusts Alexander Lyzhov overall
Papers from Alexander Lyzhov's perspective
Ordered by how strongly the researchers Alexander Lyzhov 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)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning (2020) — 362 citations
- Inverse Scaling: When Bigger Isn't Better (2023) — 235 citations