Tillman Weyde
Artificial Intelligence · 2016–2020
A researcher in the Science corpus: 4 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it
- Signal Processing — 26 citations into it
- Natural Language Processing — 13 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Model Architectures — 12 citations into it
- Speech & Audio — 9 citations into it
- Optimization & Training — 5 citations into it
Whom Tillman Weyde trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Ilya Sutskever
- Diederik P. Kingma
- P. Loizou
- Yoshua Bengio
- Alex Graves
- J. Urgen Schmidhuber
- Sepp Hochreiter
- Yann LeCun
- Alex Krizhevsky
Who trusts Tillman Weyde overall
Papers from Tillman Weyde's perspective
Ordered by how strongly the researchers Tillman Weyde 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Improved Speech Enhancement with the Wave-U-Net (2018) — 194 citations
- Sequence Classification Restricted Boltzmann Machines With Gated Units (2020) — 8 citations
- Singing Voice Separation with Deep U-Net Convolutional Networks (2017) — 462 citations
- Accuracy and Interpretability Trade-Offs in Machine Learning Applied to Safer Gambling (2016) — 30 citations