Marios Fournarakis
Artificial Intelligence · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it
- Computer Vision and Pattern Recognition — 28 citations into it
- Efficiency & Compression — 19 citations into it
- Model Architectures — 7 citations into it
- Optimization & Training — 6 citations into it
Whom Marios Fournarakis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Markus Nagel
- Raghuraman Krishnamoorthi
- Yoshua Bengio
- Mark A. Horowitz
- Ron Banner
- Suyog Gupta
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Mart van Baalen
Who trusts Marios Fournarakis overall
Papers from Marios Fournarakis's perspective
Ordered by how strongly the researchers Marios Fournarakis 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)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Overcoming Oscillations in Quantization-Aware Training (2022) — 171 citations
- A White Paper on Neural Network Quantization (2021) — 894 citations