Benjamin F. Grewe

Artificial Intelligence · 2011–2021

A researcher in the Science corpus: 9 papers; trusts 370 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 265 citations into it
• Computer Vision and Pattern Recognition — 151 citations into it
• Meta & Continual Learning — 67 citations into it; #170 of 1,041 by trust here, #226 by citations
• Optimization & Training — 67 citations into it
• Probabilistic & Bayesian Methods — 61 citations into it
• Model Architectures — 53 citations into it
• Generative Models — 52 citations into it
• Representation & Self-Supervised Learning — 47 citations into it

Whom Benjamin F. Grewe trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yann LeCun
5. Yoshua Bengio
6. J. Urgen Schmidhuber
7. Kaiming He
8. Sepp Hochreiter
9. Alex Graves
10. Max Welling

Who trusts Benjamin F. Grewe overall

1. Gyuhak Kim
2. Christian Henning
3. Zixuan Ke
4. Yiduo Guo
5. James Smith
6. Changnan Xiao
7. Benjamin Ehret

Papers from Benjamin F. Grewe's perspective

Ordered by how strongly the researchers Benjamin F. Grewe trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Posterior Meta-Replay for Continual Learning (2021) — 76 citations
• 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
• Continual learning with hypernetworks (2019) — 428 citations
• Approximating the Predictive Distribution via Adversarially-Trained Hypernetworks (2018)
• Diametric neural ensemble dynamics in parkinsonian and dyskinetic states (2018) — 299 citations
• Neural ensemble dynamics underlying a long-term associative memory (2017) — 301 citations
• Fast two-layer two-photon imaging of neuronal cell populations using an electrically tunable lens (2011) — 306 citations