Marlene Staib

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Model Architectures — 9 citations into it

Whom Marlene Staib trusts overall

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

1. Kevin Crowston
2. Geoffrey E. Hinton
3. L. V. D. van der Maaten
4. Alex Graves
5. Marc Schröder
6. Yu Zhang
7. Diederik P. Kingma
8. Yoshua Bengio
9. Ilya Sutskever
10. Alex Krizhevsky

Papers from Marlene Staib's perspective

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

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

Their papers

• Phonological Features for 0-shot Multilingual Speech Synthesis (2020) — 38 citations
• Incremental Text to Speech for Neural Sequence-to-Sequence Models using Reinforcement Learning (2020) — 11 citations