Katarzyna Musial
Artificial Intelligence · 2009–2020
A researcher in the Science corpus: 4 papers; trusts 198 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 91 citations into it
- Computer Vision and Pattern Recognition — 51 citations into it
- Statistical and Nonlinear Physics — 28 citations into it
- Graph Learning — 23 citations into it
- Model Architectures — 22 citations into it
- Neural Architecture Search & AutoML — 20 citations into it
- Optimization & Training — 10 citations into it
- Efficiency & Compression — 9 citations into it
Whom Katarzyna Musial trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Karen Simonyan
- Ilya Sutskever
- Frank Hutter
- Christian Szegedy
Papers from Katarzyna Musial's perspective
Ordered by how strongly the researchers Katarzyna Musial 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size (2020) — 213 citations
- AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model (2020) — 12 citations
- Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey (2020) — 336 citations
- Frontiers in Artificial Intelligence and Applications (2009) — 556 citations