†. Cstr

2015

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Whom †. Cstr trusts overall

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

1. Hugo Larochelle
2. Pascal Vincent
3. Yoshua Bengio

Who trusts †. Cstr overall

1. Herman Kamper

Papers from †. Cstr's perspective

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

1. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
2. Extracting and composing robust features with denoising autoencoders
3. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
4. The Kaldi Speech Recognition Toolkit
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Attention is All you Need (Neural Information Processing Systems)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Gradient-based learning applied to document recognition

Their papers

• A comparison of neural network methods for unsupervised representation learning on the zero resource speech challenge (2015) — 103 citations