Monika A. Myszczynska

Artificial Intelligence · 2020

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 — 20 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Monika A. Myszczynska trusts overall

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

1. Radford M. Neal
2. Yuhai Wu
3. Thomas Kipf
4. Ian J. Goodfellow
5. Max Welling
6. Yann LeCun
7. Geoffrey E. Hinton
8. Yoshua Bengio
9. Ben J. A. Kröse
10. Diederik P. Kingma

Papers from Monika A. Myszczynska's perspective

Ordered by how strongly the researchers Monika A. Myszczynska 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Applications of machine learning to diagnosis and treatment of neurodegenerative diseases (2020) — 450 citations