Adam Nadolski

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Signal Processing — 7 citations into it
• Speech & Audio — 6 citations into it

Whom Adam Nadolski trusts overall

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

1. Heiga Zen
2. Diederik P. Kingma
3. Yoshua Bengio
4. Xavier Glorot
5. Keiichi Tokuda
6. Geoffrey E. Hinton
7. Andrew W. Senior
8. Yarin Gal
9. Razvan Pascanu
10. Jimmy Ba

Papers from Adam Nadolski's perspective

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

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

Their papers

• Parameter Generation Algorithms for Text-To-Speech Synthesis with Recurrent Neural Networks (2018) — 5 citations