Dirk Van Compernolle

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Signal Processing — 25 citations into it

Whom Dirk Van Compernolle trusts overall

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

1. László Tóth

Who trusts Dirk Van Compernolle overall

1. Daniel S. Park

Papers from Dirk Van Compernolle's perspective

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

1. Long Short-Term Memory
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. A Fast Learning Algorithm for Deep Belief Nets
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Perceptually Inspired Data Augmentation Method for Noise Robust CNN Acoustic Models (2018) — 20 citations
• Increasing the robustness of CNN acoustic models using autoregressive moving average spectrogram features and channel dropout (2017) — 41 citations