Alexander Meulemans
Artificial Intelligence · 2020
A researcher in the Science corpus: 3 papers; trusts 175 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 142 citations into it
- Computer Vision and Pattern Recognition — 81 citations into it
- Optimization & Training — 48 citations into it
- Model Architectures — 40 citations into it
- Meta & Continual Learning — 36 citations into it
- Representation & Self-Supervised Learning — 24 citations into it
- Generative Models — 18 citations into it
- Probabilistic & Bayesian Methods — 17 citations into it
Whom Alexander Meulemans trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- J. Urgen Schmidhuber
- Diederik P. Kingma
- Alex Krizhevsky
- Sepp Hochreiter
- Yoshua Bengio
- Yann LeCun
- Kaiming He
- Alex Graves
- Ilya Sutskever
Papers from Alexander Meulemans's perspective
Ordered by how strongly the researchers Alexander Meulemans 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
- Continual learning in recurrent neural networks (2020) — 52 citations
- Neural networks with late-phase weights (2020) — 40 citations
- Continual Learning in Recurrent Neural Networks with Hypernetworks (2020) — 10 citations