Martyna Spiewak

Artificial Intelligence · 2017

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 — 6 citations into it
• Natural Language Processing — 6 citations into it

Whom Martyna Spiewak trusts overall

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

1. Richard Socher
2. Jeffrey Pennington
3. Ryan Kiros
4. Yukun Zhu
5. Christopher D. Manning
6. Ruslan Salakhutdinov
7. Geoffrey E. Hinton
8. Frane Saric
9. Yoshua Bengio
10. Steven Bethard

Papers from Martyna Spiewak's perspective

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

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

Their papers

• OPI-JSA at SemEval-2017 Task 1: Application of Ensemble learning for computing semantic textual similarity (2017)