Iuliia Pliushch
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 390 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 153 citations into it; #20,097 of 35,345 by trust here, #17,412 by citations
- Computer Vision and Pattern Recognition — 116 citations into it; #16,495 of 21,575 by trust here, #19,310 by citations
- Representation & Self-Supervised Learning — 45 citations into it
- Meta & Continual Learning — 43 citations into it
- Generative Models — 27 citations into it
- Optimization & Training — 25 citations into it
- Safety, Robustness & Interpretability — 17 citations into it
- Model Architectures — 15 citations into it
Whom Iuliia Pliushch trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Yann LeCun
- Yoshua Bengio
- Alex Graves
- Ilya Sutskever
- Max Welling
- L. Eon Bottou
Who trusts Iuliia Pliushch overall
Papers from Iuliia Pliushch's perspective
Ordered by how strongly the researchers Iuliia Pliushch 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
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)