Michal Ptaszynski

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it

Whom Michal Ptaszynski trusts overall

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

1. Peter D. Turney
2. Ronan Collobert
3. Dominik Scherer
4. Alessandro Moschitti
5. Karthik Dinakar
6. Sameer Hinduja
7. Jason Aaron Edward Weston
8. William W. Cohen
9. David Ruppert
10. Jacek Pyzalski

Papers from Michal Ptaszynski's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. A unified architecture for natural language processing: deep neural networks with multitask learning
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Learning Deep on Cyberbullying is Always Better Than Brute Force (2017) — 32 citations