Marcin Mironczuk

Artificial Intelligence · 2018

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

Subfields

• Artificial Intelligence — 45 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Representation & Self-Supervised Learning — 12 citations into it

Whom Marcin Mironczuk trusts overall

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

1. L. V. D. van der Maaten
2. Geoffrey E. Hinton
3. Charu C. Aggarwal
4. Shiliang Sun
5. Kai Ming Ting
6. Yoshua Bengio
7. C. Burges
8. Tomas Mikolov
9. Alex Krizhevsky
10. David Hilton Wolpert

Papers from Marcin Mironczuk's perspective

Ordered by how strongly the researchers Marcin Mironczuk 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A recent overview of the state-of-the-art elements of text classification (2018) — 324 citations