Maria Tzelepi
Artificial Intelligence · 2020–2022
A researcher in the Science corpus: 3 papers; trusts 217 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 52 citations into it
- Computer Vision and Pattern Recognition — 51 citations into it
- Efficiency & Compression — 34 citations into it
- Representation & Self-Supervised Learning — 19 citations into it
- Signal Processing — 7 citations into it
- Model Architectures — 6 citations into it
- Optimization & Training — 6 citations into it
Whom Maria Tzelepi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
- Kaiming He
- Ilya Sutskever
- Oriol Vinyals
- Sergey Ioffe
- Christian Szegedy
Who trusts Maria Tzelepi overall
Papers from Maria Tzelepi's perspective
Ordered by how strongly the researchers Maria Tzelepi 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
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- 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)
Their papers
- Knowledge distillation (2022)
- Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning (2020) — 135 citations
- Heterogeneous Knowledge Distillation Using Information Flow Modeling (2020) — 175 citations