Frederik Benzing
Artificial Intelligence · 2020–2025
A researcher in the Science corpus: 4 papers; trusts 332 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 80 citations into it; #19,716 of 35,345 by trust here, #34,213 by citations
- Computer Vision and Pattern Recognition — 45 citations into it
- Optimization & Training — 34 citations into it
- Meta & Continual Learning — 30 citations into it; #486 of 1,041 by trust here, #1,014 by citations
- Representation & Self-Supervised Learning — 25 citations into it
- Cognitive Neuroscience — 24 citations into it
- Neuroscience — 13 citations into it
- Electrical and Electronic Engineering — 12 citations into it
Whom Frederik Benzing trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ferenc Huszár
- Yoshua Bengio
- Diederik P. Kingma
- Geoffrey E. Hinton
- Razvan Pascanu
- Ian J. Goodfellow
- Alex Krizhevsky
- Alex Graves
- Yann LeCun
- Kaiming He
Who trusts Frederik Benzing overall
- Mehdi Abbana Bennani
- Liyuan Wang
- Masashi Sugiyama
- Xingxing Zhang
- Qian Li
- Hang Su
- Da-Wei Zhou
- Mingtian Zhang
- Jun Zhu
Papers from Frederik Benzing's perspective
Ordered by how strongly the researchers Frederik Benzing 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Presynaptic stochasticity improves energy efficiency and helps alleviate the stability-plasticity dilemma (2021) — 20 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- Unifying Importance Based Regularisation Methods for Continual Learning (2022) — 34 citations
- Understanding Regularisation Methods for Continual Learning (2020) — 9 citations