Fabian Paischer

Artificial Intelligence · 2022

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 91 citations into it
• Reinforcement Learning — 60 citations into it
• Computer Vision and Pattern Recognition — 33 citations into it
• Model Architectures — 27 citations into it

Whom Fabian Paischer trusts overall

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

1. Geoffrey E. Hinton
2. Richard S. Sutton
3. Yoshua Bengio
4. Yann LeCun
5. J. Urgen Schmidhuber
6. Diederik P. Kingma
7. John Schulman
8. Alex Krizhevsky
9. Sepp Hochreiter
10. Jimmy Ba

Papers from Fabian Paischer's perspective

Ordered by how strongly the researchers Fabian Paischer 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning (2022) — 19 citations
• History Compression via Language Models in Reinforcement Learning (2022) — 53 citations